July 21, 2026

Recooty MCP Server: Connect ChatGPT, Claude, or Any AI Assistant to Your ATS

Name: Recooty
Price: 149.00 USD
Rating: 4.8 (250 reviews)
Author: Recooty

The Recooty MCP Server connects ChatGPT, Claude, and other MCP-compatible AI assistants to your Recooty ATS. Create jobs, post to 250+ boards, rank candidates with AI, and manage your hiring pipeline through conversation.

Shubham Joshi

Strategic HR Business Partner | Talent Recruitment & Management Specialist | People & Culture Architect

The Recooty MCP Server connects an MCP-compatible AI assistant, like ChatGPT or Claude, directly to your Recooty account. Once connected, you can create job openings, publish them to 250+ job boards, screen and rank candidates with AI, query your live hiring pipeline, check scheduled interviews, and move candidates between rounds through plain conversation instead of clicking through your ATS. Every write action waits for your approval before it runs.

Here is the full picture of what it can do before I get into why it matters.

Hiring locations

List all your hiring locations.
Create a new hiring location, after you approve the details.

Departments

List your existing departments.
Create a new department, after you confirm the name.

Job postings

List your recent job postings.
Create a new job posting, including:

Before any job gets created, the assistant will always:

Check your available locations and departments.
Show you the complete job posting for review.
Wait for your approval before creating it.

Job distribution

Publish an approved job to 250+ job boards in one action, including LinkedIn, Indeed, Google for Jobs, Glassdoor, Monster, Naukri, Talent.com, Jooble, Careerjet, and Remotive.
Push a draft live, or pull a live posting back to draft.
Check which boards a given role went out to.

Candidate screening and ranking

Screen incoming applicants against the job description automatically.
Rank candidates with AI scoring based on skills, experience, and role fit.
Surface AI-generated candidate summaries so you are not opening twenty resumes to find three.
Filter a candidate pool by experience, current or past employer, location, or skill.

Hiring pipeline management

List candidates at any stage of any job.
Check which interviews are scheduled, by day and by location.
Shortlist or advance named candidates to the next round, after you confirm.
See who has cleared a specific interview round for a specific role.

Hiring content it can write or improve

SEO-optimized job descriptions
Inclusive job descriptions
AI-generated job descriptions
Hiring requirements
Responsibilities and qualifications
Interview questions
Candidate evaluation scorecards
Employer branding copy

Example requests you can give it

"Show me all my active job postings."
"List my hiring locations."
"Create a Marketing department."
"Create a remote Senior React Developer job in draft."
"Write a job description for a Sales Executive."
"Improve this job description to attract better candidates."
"Generate interview questions for a Product Manager."
"Publish the Senior React Developer role to all 250+ job boards."
"Can you filter out the top 3 candidates for the ML Engineer job role in the San Francisco location?"
"Filter out the candidates who have 4+ years of experience at Meta from all the marketing related job posts I had created."
"Tell me what interviews are scheduled for today for the New York location."
"Shortlist Michael Doe and Ellie Abraham for the next round for the Marketing Manager job role."
"Give me the list of all the candidates who have cleared the 2nd round of interview for the Network Engineer job role."

That is the whole surface area. Now I want to describe the specific problem it solves, because it is not the one most people expect.

The copy-paste tax nobody talks about

My AI assistant has been useful for months. It writes job descriptions, drafts outreach emails, and builds interview scorecards on request.

But it could never see my actual hiring data. Not one job, not one department, not one location.

So every request turned into the same routine. I would open my ATS, find what I needed, copy it out, paste it into a chat window, explain the context, get an answer, then go back to the ATS and manually enter the result.

I was the integration. I was the API between two systems that had no idea the other existed.

Multiply that by fifteen open roles and it stops being a minor annoyance. It becomes a few hours a week spent on data ferrying that produces nothing.

What is the Recooty MCP Server?

The Recooty MCP Server is an integration layer that lets an AI assistant talk directly to your Recooty workspace using the Model Context Protocol.

MCP is an open standard for connecting AI assistants to external tools and data. Any assistant that supports it, including ChatGPT and Claude, can use the same connection.

That word "any" matters more than it sounds. You are not locked into a single vendor's chat product. If your team standardizes on a different assistant next year, the connection follows you.

Once it is live, you type a request in plain language and the assistant converts it into a real action inside your Recooty account. No exports, no tab switching, no re-typing.

How does the Recooty MCP Server work?

The connection runs on secure authentication, and the assistant can only perform the actions you have authorized.

Here is what happens when I ask for something specific. I type: "Create a remote Frontend Developer job."

The assistant then does the following:

Checks the departments that exist in my account.
Verifies my available hiring locations.
Asks me for anything missing, like experience level or salary band.
Generates a full job description if I want one.
Shows me the complete posting for review.
Waits for my explicit approval.
Creates the job inside Recooty.

Step six is the one I care about most. Nothing gets written to my account until I say yes.

That approval-first design is what makes this usable on real hiring data rather than a sandbox. AI assistants are confident, and confidence without a confirmation step is how you end up with a published job listing that says "Senior Softwre Engineer."

Read actions versus write actions

Not every request needs the same level of caution, and the server treats them differently.

Request typeExampleWhat happensRead"List all active jobs"Returns the data immediatelyRead"Show my hiring locations"Returns the data immediatelyRead"Top 3 candidates for the ML Engineer role"Returns a ranked shortlist immediatelyRead"What interviews are scheduled today?"Returns the schedule immediatelyWrite"Create a Sales department"Confirms with you firstWrite"Create a Product Manager job"Shows a full draft, then confirmsWrite"Publish this role to all job boards"Confirms before distributionWrite"Shortlist Michael Doe for the next round"Names the candidate and stage, then confirms

Reads are instant because they are reversible. Writes pause because they are not.

What can you actually do with it?

Six things, in practice. I use all of them, though not equally.

1. Create job openings in natural language

Creating a job used to mean working through a form with a dozen fields.

Now I describe the role and the assistant assembles the posting: title, employment type, work location, department, industry, experience level, salary range, and the full description.

I review it, adjust whatever is off, and approve. The whole thing takes under two minutes for a role I would otherwise have spent twenty on.

2. Generate and rewrite job descriptions

Writing a good JD is slow work, and most people give up halfway and ship something generic.

The assistant produces SEO-friendly descriptions with inclusive language, a responsibilities section, required skills and qualifications, preferred experience, a company overview, and benefits.

It also rewrites existing ones. If a role has been open for six weeks with weak applicant flow, the JD is usually part of the problem, and the fastest fix is a rewrite rather than more ad spend.

If you want to sanity-check the output against a standard, Recooty's guide on how to write a job description covers what a strong one includes. There is also a standalone AI job description generator if you want to draft one without connecting anything.

3. Manage hiring departments

Growing companies add departments constantly, and the settings page for that is buried three clicks deep in every ATS I have used.

I just ask. "Create a Sales department." "Add Customer Success." "Show all departments."

The change syncs to my account and I never leave the conversation.

4. View hiring locations

The assistant can list every hiring location on the account, and create a new one once you approve the details. That matters more than it sounds when you are hiring across offices.

Assigning a job to the wrong region creates downstream mess in reporting and compliance. Checking first takes one line of typing.

This is most useful for remote, hybrid, and multi-country teams where the location list is long and easy to misremember.

5. List existing job openings

Recruiters need pipeline visibility constantly, and dashboards are a slow way to get it.

"Show all active jobs." "List draft jobs." "Display recent job postings."

The assistant pulls straight from the account. It is faster than loading the dashboard, and I can immediately ask a follow-up question about what came back.

6. Generate supporting hiring content

Beyond managing jobs, the assistant works as a general recruiting writer with your account context available.

I use it for:

Custom interview questions for a specific role
Candidate scorecards and evaluation checklists
Recruitment and outreach emails
Offer letter templates
Employer branding copy

Having the account context matters here. A scorecard generated after the assistant has seen the actual job description is better than one generated from a job title alone.

7. Post to 250+ job boards in one action

Creating a job is only half the work. It has to reach people.

Once I approve a posting, I can publish it to Recooty's network of 250+ boards without touching another screen. That includes LinkedIn, Indeed, Google for Jobs, Glassdoor, Monster, Naukri, Talent.com, Jooble, Careerjet, and Remotive.

"Publish the Senior React Developer role to all job boards" replaces what used to be a separate distribution step with its own checklist. I can also pull a role back to draft the same way when a req gets frozen.

8. AI candidate screening and ranking

This is the feature that changed my week the most, and it is the one that needs live data to work at all.

The assistant screens incoming applicants against the actual job description, then ranks them with AI scoring based on skills, experience, and role fit. It also produces short candidate summaries so I am not opening forty resumes to find the four worth a call.

The real power is filtering in plain language. I can ask for the top three candidates for a specific role in a specific city, or for everyone with a particular employer in their history, and get a ranked shortlist back in seconds.

9. Manage your live hiring pipeline

Pipeline questions are the ones I ask most often during a hiring sprint, and they are the slowest to answer through a dashboard.

Now I ask them directly. Who is at which stage, what is scheduled today, who cleared round two, who should move forward.

Advancing candidates is a write action, so it follows the same rule as everything else. The assistant shows me exactly who it is about to move and to which stage, then waits.

What can you ask about your candidate pipeline?

These are real questions from my own hiring weeks, not demo copy. They are the clearest illustration of what changes when your assistant can see live data.

Screening and shortlisting

"Can you filter out the top 3 candidates for the ML Engineer job role in the San Francisco location?"
"Filter out the candidates who have 4+ years of experience at Meta from all the marketing related job posts I had created."
"Rank all applicants for the Backend Engineer role by how well they match the job description."
"Show me every candidate with Kubernetes experience who applied to any of my open DevOps roles."

Interviews and scheduling

"Tell me what interviews are scheduled for today for the New York location."
"Which candidates have interviews this week across all my engineering roles?"
"Give me the list of all the candidates who have cleared the 2nd round of interview for the Network Engineer job role."

Moving people through stages

"Shortlist Michael Doe and Ellie Abraham for the next round for the Marketing Manager job role."
"Move everyone who passed the technical screen for Data Engineer into the final round."
"Which candidates have been sitting in the screening stage for more than ten days?"

Pipeline health

"Which of my open roles have fewer than five candidates in the pipeline?"
"How many candidates are at each stage for the Product Designer role?"
"Which roles have had no candidate movement in the last two weeks?"

That last category is the one I did not expect to use and now check every Monday. Stalled roles are invisible until someone goes looking, and nobody goes looking when it takes twenty minutes of dashboard work.

Why an MCP server instead of a plugin?

This is the part worth understanding if you are evaluating tools rather than just using one.

Most ATS AI features are bolt-ons. The vendor builds a chat box inside their own product, and it only works there, only with their chosen model, and only for the features they wired up.

An MCP server inverts that. Your assistant is the interface, and the ATS becomes one of many tools it can reach. The same conversation that pulls your open roles can also pull your calendar and draft an email.

That composability is the real unlock. A plugin makes your ATS slightly smarter. An MCP connection makes your entire assistant aware of your hiring operation.

Traditional ATS workflowRecooty MCP ServerJob creationManual form, field by fieldFull posting from one promptJob descriptionsWrite from scratch or copy an old oneGenerated, reviewed, approved in placeOrg settingsNavigate nested settings menusCreated instantly in chatJob distributionSeparate step, board by boardPublished to 250+ boards in one actionCandidate screeningOpen and read resumes manuallyAI ranked and summarized against the JDPipeline checksLoad dashboard, apply filtersAnswered in plain language on requestAdvancing candidatesOpen each profile, change stageNamed candidates moved after confirmationAI contentCopy data out, paste into chat, paste backHappens with live account contextChoice of AI toolWhatever the vendor built inAny MCP-compatible assistant

Who should use this?

Not everyone needs it, and I would rather be specific than say "all recruiters."

It earns its keep fastest for:

Recruiters and talent acquisition teams running multiple roles at once
HR generalists at small companies who do hiring alongside four other jobs
Hiring managers who need to check status without learning the ATS
Startup founders posting their first ten roles with no recruiting team
Recruitment agencies creating jobs across many client accounts
Small business owners who hire in bursts and forget the interface between rounds

The common thread is volume of repetitive administrative work. If you post two jobs a year, the setup time will not pay for itself. If you post two a week, it pays for itself in the first week.

A realistic day using it

Here is what an actual morning looks like, not a demo script.

I start by asking for all active job openings, which gives me a status baseline in one line.

Then engineering says they need a remote Product Manager with five years of experience. I ask for it, review the generated posting, fix the salary band because the assistant guessed low, and approve.

Marketing is reorganizing, so I create a new department in chat rather than opening settings.

I publish the new PM role to all 250+ job boards in the same conversation, which used to be its own separate task.

Then I ask what interviews are scheduled today for the New York location, because I need to know before the 10am standup.

Engineering wants a shortlist, so I ask for the top three candidates for the ML Engineer role in San Francisco and get a ranked set with summaries.

Two of them are ready to move, so I shortlist them by name for the next round. The assistant confirms the names and the target stage before it does anything.

Before a screening call, I ask for interview questions for a Data Analyst role and get a usable set in seconds.

None of these individually saves much. Together they replace a few hundred clicks and most of my tab switching for the day.

Is the Recooty MCP Server secure?

Yes, and the design is straightforward rather than clever.

The connection uses secure authentication, and the assistant is limited to actions you have explicitly authorized. It cannot reach anything outside that scope.

Sensitive operations, including creating job postings and modifying organizational data, require your confirmation before execution. You see the exact change before it happens.

The practical effect is that AI handles the typing while you keep the decisions. That split is the right one, and it is the reason I trust this on live data rather than a test account.

Where this fits with the rest of your stack

The MCP server does not replace your ATS. It sits on top of it.

Your applicant tracking system remains the system of record. Structured work like configuring scorecards, building custom stages, managing offers, and running detailed reports still belongs there, and so does anything a candidate sees.

What moves into conversation is the daily layer: creating, distributing, filtering, checking, advancing, and writing. It pairs directly with the recruitment automation already running in the background, and with distribution, since the same connection can post jobs to 250+ job boards the moment a role is approved.

If you are still evaluating whether AI belongs in your process at all, the broader roundup of AI recruiting tools is a reasonable starting point before you wire anything together.

What conversational recruiting actually changes

I do not think the big shift here is speed, though it is faster.

The shift is that you stop learning software. For twenty years the deal has been that better tools mean more complex interfaces, and every new capability arrives as another menu you have to find.

Conversational access breaks that trade. The capability grows, the interface stays the same, and the learning curve flattens to whatever you can describe in a sentence.

That is good for adoption in ways that are hard to overstate. The hiring manager who never logged into the ATS will ask a chat window a question. The founder who avoided the settings page will create a department if it takes one line.

Recruiting has always been a relationship job wrapped in a data entry job. Anything that shrinks the second half without breaking the first is worth having, and this shrinks a real portion of it. It also frees time for the parts that genuinely need a human, like candidate sourcing and the conversations that follow.

Frequently asked questions

What is an MCP server?
MCP, or Model Context Protocol, is an open standard for connecting AI assistants to external tools and data sources. An MCP server exposes a product's capabilities so a compatible assistant can use them directly.

Which AI assistants work with the Recooty MCP Server?
Any MCP-compatible assistant, including ChatGPT and Claude. That is the advantage of building on an open standard rather than a single vendor's plugin format.

Do I need technical skills to set it up?
No. You add Recooty as a connector in your AI assistant and authenticate with your existing account. There are no API keys to manage.

Can I manage my hiring pipeline through chat?
Yes. You can filter and rank candidates, check scheduled interviews by day and location, see who cleared a given round, and shortlist named candidates for the next stage. Deep configuration and candidate-facing communication still belong in the ATS itself.

Can it post jobs to job boards?
Yes. Once you approve a posting, the assistant can publish it to Recooty's network of 250+ job boards, including LinkedIn, Indeed, Google for Jobs, and Glassdoor, in a single action.

How does the AI candidate ranking work?
It scores applicants against the actual job description using skills, experience, and role fit, then returns a ranked list with short summaries. You can narrow it further by location, years of experience, past employer, or specific skills.

Will it change something in my account without asking?
No. Read requests, including candidate filters and interview lookups, return data immediately. Any write action, including creating a job, publishing to job boards, or advancing a candidate, shows you the change and waits for your confirmation.

What if the generated job description is wrong?
You review it before anything is published. You can edit it directly, ask for a rewrite, or discard it. Nothing reaches your account until you approve it.

Do I need a Recooty account?
Yes. The server connects to your existing Recooty workspace, so an active account is required to authenticate.

‍

Budgets regarding hiring are being strained on every side.

CFOs need reduced cost-per-hire. Manager hiring is about faster results. Applicants are demanding superior experiences. Your recruiters, on the other hand, are being overwhelmed by a load of administration that adds no value but is consumed by hours per day.

The traditional model of recruitment, which is to employ additional recruiters, advertise on more boards, and wish to have improved results, is not on the menu any longer. Intelligent businesses are starting to realize that automation does not mean doing it faster; it means radically altering the way recruiting expenses and how that money is spent.

The guide below will demonstrate how to work out you cost-per-hire savings when you adopt the automation services offered by Recooty. Most importantly, it will teach you to determine the gains that are most applicable to your organization and not the ones everybody is talking about.

The Reality Behind Cost-Per-Hire
‍

The issue with most HR teams is that the majority of them fail to estimate the real cost-per-hire, due to the fact they fail to consider the hidden costs that are consuming their budget. The formula of calculation is easy to read on paper, however, the situation is not that straightforward.

This is what you are actually measuring:

Cost-Per-Hire = (External Costs + Internal costs)/Number of Hires.

‍The tricky part? It is those internal costs that make most organizations bleed without being aware of it.
Internal Costs: The Budget Killers You Are LackingYour recruiters are currently wasting about 40 percent of their time in manual tasks that can be automated tomorrow. The same period is directly translated into salary expenses that give no value in the hiring.

Think about this breakdown of the real whereabouts of your internal recruitment budget:.

• Time a recruiter spends on resume screening, where they have to go through hundreds of applications and one by one, manually, to filter out those that do not even qualify as a basic requirement.
• The time of the hiring manager spent in coordinating interviews rather than assessment of candidates.
• Scheduling, rescheduling, and communications with the candidates overheads.
• Technology expenses on various disintegrated tools that do not communicate with one another.
• Co-ordination duration between team members using varied systems and processes.

The majority of the companies find that they spend 2-3 hours of administrative task on every hour of the actual recruiting process. It is money that you are already wasting just inefficiently.
External Costs: When Conventional Solutions FailRecent years have seen the external recruitment cost blow out of proportion yet most organizations are still following the same old formula of pouring more money into job boards and hoping that they will achieve different results.

The external cost reality check consists of:

• Job board fees that continue declining as the quality of responses declines.
• Commission can go up to 30 percent of first-year pay.
• Background check services that take time to hand over your process manually.
• Service subscriptions your team hardly utilizes at all.

Worse still, such external costs tend to be counterproductive rather than producing a unified hiring process.

Your Step-by-Step Reduction of Cost-Per-Hire Calculation
‍

The thing is, this can be exemplified by a real-life example where most mid-sized companies undergo the implementation of recruitment automation.The Before Picture: The Conventional Recruitment Spending Consider a month in which a company takes 10 employees:

What You're Paying Your Team:

‍• Two full-time recruiters are paid 6000 each = 12000.
• Hiring Managers who take 20 hours of coordination = $4,000.
• Administrative coordination (scheduling, communications) = $ 2,000.

‍Internal monthly total: $18,000What You are Paying The Outside Vendors:

• Placing of job boards in various locations = $3,000.
• Agency fee of positions that are hard-to-fill = $15,000.
• Background checks on a per hire basis of 120 = 1200.
• Evaluation tools and subscriptions = $800.
• External monthly total: $20,000.

Your present math: $38,000/ 10 hires = $3,800/ hire.The After Picture: Efficiency of the Automated Recruitment There is the same company, identical recruitment criteria, and yet Recooty does the heavy lifting:

What you are paying your team (now smarter):

• Efficiency gains (one and one-half recruiters) = 9,000.
• Cost of hiring managers who spend 8 hours on actual assessment = $1,600.
• Eliminated administrative overhead almost = $0.500.
• Recooty platform subscription = 2000.
‍
‍Internal monthly total: $13,100What You are Paying Outside Vendors (Less Dependency):

• Automation of job distributions on bulk rates = $1,500.
• Reduced agency dependency = $5,000.
• Background checks in large numbers = 800.
• Great combined evaluation skills = $400
• External monthly total: $7,700.

Your new math: $20,800 / 12 hires = $1,733 per hireNumbers That Matter to Your CFO• Reduction per hire: $3800-$1733= $2067 less per head.
• Percentage change- 54.4% cost reduction.
• Monthly savings: $2,067 x 12 hires = $24,804
• Annual benefit: close to $300,000 in saving.

You are also employing 20% more individuals with the same team and this implies that your cost-per-hire decrease is being used to finance your growth.

Industry Reality Check: Where You Are
‍

The cost-per-hire also drastically depends on the industry, however, the tendencies are the same; organizations that apply automation are outperforming the ones that are trapped in the manual process by far.

• Technology firms: $4, 000 -6, 500 to hire (Automation users are 35 percent less average than manual processes)
• Medical organizations: $3,500 -5, 200 per employee (automation reporting 40% cuts)
• Financial services: $4,500 -7,000 per employee (largest automation ROI based on compliance needs)
• Manufacturing: $2,800 -4,200 per recruit (automation will cut time-to-hire by half)
• Retail: $1500 - 3000 per hire (volume hiring experiencing a tremendous improvement in efficiency)

How Recooty Turns the Cost-Per-Hire Game
‍

The sole concern of the majority of automation tools is to make the current processes faster. Recooty does it another way, it eradicates the processes which should not be there at all. On average, an effective ATS is proven to decrease the hiring cycle by as much as 60%.AI-Powered Sourcing The conventional candidate sourcing is close to searching a needle in a haystack with blindfold on. Your recruiters are scrolling through profiles and making educated guesses regarding the fit of the candidate in addition to manually reaching out to potential candidates who may not be interested at all.

Artificial intelligence in the sourcing at Recooty reverses this:

• Smart candidate discovery occurs on multiple platforms at once as your team concentrates on conversations and not searches.
• Automated profile matching does not involve the guessing game with key words, but the actual job requirements.
• Available in real-time, you are only reaching candidates who are willing to opportunity.
• Predictive scoring prioritizes the applicants according to their chances of accepting, rather than on paper qualifications.

The result? In the first month, most of the teams reduced their time spent on repetitive tasks by 80% percentage. Not only is that quicker recruiting, but that is actually transforming the quality candidate-to-pay ratio.Screening of Candidates Devoid of BottlenecksThe most common bottlenecks in the hiring process are Resume parsing and initial screening. You and your team waste hours going through applications that must not have passed the first filter.

The automation of screening candidates at Recooty deals with this directly:

• Incident intelligent resume parsing removes manual screening of relevant skills and experience.
• Automated qualification scoring will use your real needs in place of generic filters.
• Video interview pre-screening saves you the time of having candidates taking up your teams time, by licensing themselves.
• Automation of reference checks removes the two-way communication that usually causes weeks to your process.
Automation of Workflows: Slay the Busy WorkThe administration aspects that are taking your time as a recruiting team are unnecessary and just an necessary evil to keep the process going. Until now.

The workflow automation by Recooty eliminates the busy work completely:

• Automated job distribution applies your job openings to 250+ job boards in a single click, not fifty.
• Smart scheduling arranges interviews along with the real availability of all the people and not the email tennis.
• Candidate communication sequences allow the candidates to remain busy with personalized messages without necessarily having to send them manually.
• The interview coordination can be used to make confirmations, reminders and rescheduling without human intervention.
• Offer management simplifies approvals and document creation which typically engages several individuals and systems.
Informed Decisions, No GuessworkThe majority of recruitment analytics inform you of what occurred when it was already too late to be of consequence. The analytics dashboard created by Recooty concentrates on what is in control:

• Performance tracking on a real-time basis will make you aware of the sources that are providing you with quality candidates at this moment.
• Cost analysis spends out your actual spending per hire on all channels and activities.
• The identification of the bottlenecks identifies precisely where candidates are stalling on your process.
• Quality correlation relates the source effectiveness with long term success on hiring.
• Industry benchmarking reveals the comparison of your metrics with the companies, which face the same predicament.

To Bring to Fruition Timeline: What to Expect When
‍

Week 1-4: Foundation and Quick WinsSetting up of platform and connecting with existing systems. Team training and preliminary process documentation. Concentrate on job distribution automating and simple screening of candidates.

‍Anticipated effect: 20-30% less work in the administrative department, instant changes in the efficiency of job posting.Weeks 5-12: Complete Implementation and optimizationComplex workflow automation in the whole hiring process. The use of analytics dashboard and optimization of sources. Personalized communication message and coordination of interviews.

‍Anticipated outcome: Cost-per-hire will be reduced between 40-50 percent, time-to-hire and quality of candidates will improve.
Weeks 13-26: Experienced Strategy and ScalingInterdepartmental, role-specific workflow development. Demand forecasting of hiring through predictive analytics. On-going streamlining on the basis of performance data.

‍Projected effect: 50-65% drop in cost-per-hire rate and no or better quality indicators.

How Recooty Does More Than Simple Automation
‍

The largest error that companies commit is that they automate the bad processes rather than initially fixing them. The first thing you should do before you choose to automate your processes is to map out your existing candidate journey and see the steps that simply should not be there in the first place.

The first step to candidate journey optimization is to know what points people are lost in your process and why. The automation of the workflow in Recooty can remove up to 15 manual processes per hire, however, the key is that you should be removing the correct processes.

The integration strategy is more than what people believe. Unless Recooty is communicating with your HRIS, payroll system, and onboarding platform, you are building new silos rather than destroying the old.

The monitoring of performance must be based on the leading rather than lagging indicators. Record time-to-first-interview, rather than time-to-hire. Track the candidate response rates to various communication templates. Hire only when satisfaction with the quality of candidates is achieved by the hiring manager and not their number.

FAQs
‍

When will I realize ROI of automation of recruitment?Majority of the organizations break the breakeven mark in 6-8 months, although you will see the cost reductions in the second month. The point is that automation develops various value streams - fewer expenditures on the internal organization, higher efficiency of spending on the external one and quicker recruitment that influences the business performance. All these advantages are cumulative and that is why the ROI of year 2 is normally 300-400 times more than the year one.What will be the case when automation decreases the quality of candidates?It is the fear that most people share, and it is rooted in the misconception of the modern automation functioning. Recooty does not override the human judgment, it gets rid of the administrative stuff so your team can concentrate on the evaluation and the building of relationships. The quality is actually increased since recruiters handle more time as they talk to candidates and minimal time in pushing paper. It is all about good installation and constant supervision, and that is why the assistance in implementation is important.

About the author

Shubham Joshi

Strategic HR Business Partner | Talent Recruitment & Management Specialist | People & Culture Architect

View Full Profile →

Hardik Vishwakarma‍
HR Tech Expert | Recognized voice in the future of work

View Full Profile →

Shubham Joshi is a dynamic HR Business Partner with over 8 years of experience in aligning people strategy with business goals, driving high-performance cultures, and enabling sustainable organizational growth. He has worked across fast-scaling environments where he partners closely with leadership to translate business objectives into pragmatic HR initiatives covering workforce planning, talent development, and organizational design. With a strong command over core HR functions and modern people practices, Shubham is known for building HR frameworks that are both data-informed and people-centric.

Specialties: HRBP, Talent Acquisition, HR Management, HR Operations, HR Strategy, Core HR, Diversity & Equality, Business Acumen, HRMIS, CRM, Vendor Management, POSH.

Shubham’s expertise spans the entire HRBP spectrum, including performance management, employee engagement, policy design, and leadership advisory. He leverages structured HR analytics to diagnose people challenges, anticipate talent risks, and recommend interventions that improve productivity and retention. His approach balances strategic thinking with hands-on execution, ensuring that HR is not just a support function but a critical business enabler.

He facilitates talent mobility, review, and calibration sessions to ensure optimal utilization of intellectual capital and to foster a high-performance environment. During the course of my career, I have gained a breadth of international experience working with Fortune 500 clients and global leaders.

Throughout his career, Shubham has played a key role in implementing HR initiatives that streamline processes, enhance employee experience, and strengthen employer branding. He has successfully managed end-to-end HR cycles for diverse teams, from hiring and onboarding to capability building and succession support. By closely collaborating with stakeholders across functions, he helps create cohesive people strategies that support both short-term execution and long-term vision.

Among his key achievements, Shubham has successfully led multiple projects that implemented ATS integrations, improving hiring efficiency by up to 40%, facilitated adoption of recruiting software that decreased time-to-hire by 30%, and contributed content and training materials that have guided many HR teams in modernizing their recruitment platforms. His expertise continues to drive innovations in recruitment automation and HR technology adoption.

Shubham’s key achievements include leading HRBP initiatives that optimized organizational structures, improving alignment between roles, responsibilities, and business outcomes. He has contributed to reducing attrition and improving employee satisfaction scores by driving focused engagement programs, manager enablement, and transparent communication practices. In addition, he has supported leadership in critical decision-making around talent movements, restructuring, and strategic hiring, ensuring HR remains a trusted partner at the leadership table.

Beyond his operational responsibilities, Shubham is deeply invested in building modern, future-ready HR practices. He keeps pace with evolving trends in HR technology, performance frameworks, and employee experience design to continuously refine the people strategy. With his blend of strategic HRBP thinking and strong execution rigor, Shubham Joshi stands out as a people-first business partner who helps organizations build resilient, engaged, and high-performing teams.

Shubham Joshi is a seasoned expert in the intersection of HR technology and recruitment automation, with a focused expertise in applicant tracking systems (ATS), recruiting software, and HRMS solutions. With extensive experience contributing to how organizations can leverage these technologies, Shubham has helped improve hiring efficiency, reduce time-to-fill, and optimize talent acquisition workflows through data-driven strategies and automation.

Shubham’s profound knowledge spans practical applications of ATS and hiring software to enhance recruitment management, workforce planning, and HR operational effectiveness. His insights into system customization and AI-powered recruitment tools have empowered numerous companies to streamline their hiring processes, boosting organizational productivity and candidate quality significantly. Shubham contributes actively to discussions and best practices on utilizing recruitment software and HRMS platforms for seamless integration within organizational workflows.

‍