AI Agents in Recruiterflow: A complete guide to every AIRA Agent

Recruiterflow is the true AI-native software built for executive search firms & recruitment agencies. At the core is AIRA, the universe of AI agents present natively inside Recruiterflow, not bolted on. AIRA spans through the complete recruiting lifecycle with dedicated agents for sourcing, matching candidates, outreach, client submissions, capturing and updating CRM, enrichment. Each agent owns a specific job in the workflow, and they share context across every activity, job role, contact & candidate so the output of one feeds directly into the next.

What Are AI Agents in Recruitment?

AI agents in recruitment are software systems that autonomously carry out multi-step recruiting work toward a goal you set, adapting as they go, with human oversight rather than constant human input. Unlike a tool that waits for a prompt, an agent acts. You give it a goal and it works through the steps on its own, deciding what to do next based on context.

For a deeper look at how AI agents differ from copilots and traditional automation, and how to evaluate them for your firm, read our complete guide to AI agents in recruitment.

What Is AIRA in Recruiterflow?

AIRA isn’t a single feature. It is the AI-native intelligence layer in Recruiterflow running through the entire recruiting workflow. Not a single feature or a chatbot bolted onto the interface. It’s a suite of purpose-built agents, each owning a specific job in the recruiting workflow.

AIRA agents are built in-house and live inside the platform. They share context across the ATS and CRM, which means the output of one agent feeds directly into others. A call transcript from AIRA Notetaker triggers Update Field Agents to write details back to the CRM, Task Agent to assign follow-ups, and Summarisation Agent to condense the conversation into a brief. No copy-pasting between tools. No screen-switching.

Different types of AI Agents in Recruiterflow

Recruiterflow releases a new feature every 72 hours. The list of AIRA agents is thus ever expanding.

Find talent: AIRA Source · AIRA Matchmaker · Ask AIRA · AIRA Search

Engage candidates and clients: Outreach Agent · Email Generation Agent · Submission Agent

Capture and act on conversations: AIRA Notetaker · AIRA Task Agent · Scorecard Agent · Summarisation Agent

Enrich and maintain your database: Update Field Agents · Research Agent · Job Change Alerts · Email Finder · Phone Finder

How to use AI for candidate sourcing in Recruiterflow

Recruiterflow offers four AI agents for candidate sourcing: AIRA Source (searches 850M+ external profiles), AIRA Matchmaker (ranks candidates already in your database), Ask AIRA (conversational shortlisting within a job’s pipeline), and AIRA Search (natural language search across your entire database).

The platform follows a database-first philosophy, with around 71% of placements coming from candidates already in a firm’s CRM, so the agents are built to mine what you already have before going external.

AIRA Search

AIRA Search is the true natural language search in Recruiterflow. AIRA Search doesn’t convert your query into filters. It understands intent, pulling in data from resumes, external sources, professional networks, and funding details.

A query like “candidates who’ve worked at Series B fintech startups in London and moved into head-of roles” isn’t something a filter set can handle. AIRA Search can. Every result includes a detailed explanation of why it matched, so you’re never guessing.

Ask AIRA

With Ask AIRA on Recruiterflow, you can go through hundreds of profiles without opening a single one of them. When you have hundreds of candidates on a job, Ask AIRA reads through every profile and returns a ranked shortlist with match reasoning, without you opening a single profile.

AIRA Matchmaker

AIRA Matchmaker reads a job’s requirements and ranks candidates already in your database by semantic fit, not keyword matching. Every result comes with a criteria score and a plain-English explanation of why the candidate was selected.

Use it at the start of every new search, before sourcing externally. You type qualification criteria in plain English (“5+ years in enterprise SaaS sales, has managed a team of 10+, based in the Northeast”) and AIRA Matchmaker returns a ranked shortlist in minutes. From there, you refine, filter, and move candidates into active pipelines.

AIRA Source

AIRA Source helps you expand the search to over 850M+ candidates on the web, without leaving Recruiterflow. You describe the role, AIRA Source builds a shortlist of candidates you can add to jobs and move into outreach in a few clicks.

How to automate candidate and client outreach with AI

Recruiterflow uses three AI agents for outreach: the Outreach Agent (drafts multichannel sequences across email, LinkedIn, and SMS), the Email Generation Agent (creates one-off context-aware emails from individual profiles), and the Submission Agent (drafts client-ready submission emails). All three pull context from your CRM, so nothing reads like a template.

Outreach Agent

Drafts messaging for multichannel sequences across email, LinkedIn, and SMS, tailored to each candidate or client. The Outreach Agent reads real candidate signals (a job change, a past role, a specific skill match) to create personalized messages that read one-to-one, even at scale.

Use it when building or refining outreach sequences. Rather than starting from a blank template or recycling generic copy, the Outreach Agent generates contextual first drafts you can edit and deploy across your cadence.

Email Generation Agent

Creates context-aware emails from individual candidate or contact profiles, pulling from past conversations, notes, role details, and candidate history already in your ATS and CRM.

Where the Outreach Agent drafts sequences (multi-step, multi-channel cadences), the Email Generation Agent handles one-off emails that need to be personal: a job pitch to a passive candidate, a follow-up after an interview, a check-in with a client. Use it any time you need a single email that references specific details from a profile or a deal’s history.

Submission Agent

Drafts candidate submission emails, the write-ups you send to clients when presenting shortlisted candidates. Trained on thousands of real submissions, it pulls context from past conversations, emails, notes, and calls to create structured, client-ready write-ups.

The Submission Agent cuts submission time by up to 70%, turning a task that typically takes 3-7 minutes per candidate into roughly 10 seconds.

How Does AI Note-Taking and Post-Call Automation Work in Recruiting?

In Recruiterflow, AI note-taking and post-call automation is handled by four agents working in sequence. AIRA Notetaker joins calls (Zoom, Meet, Teams, and more), records, transcribes, and summarizes each conversation using predefined templates.

From there, the Task Agent extracts action items and assigns follow-ups, the Scorecard Agent generates structured candidate evaluations, and the Summarisation Agent condenses profiles into quick briefs.

This is how agentic orchestration in Recruiterflow works and it ensures that consultants and recruiters focus entirely on the conversation, not admin.

AIRA Notetaker

Automatically joins your scheduled calls on Zoom, Google Meet, Microsoft Teams, Twilio, Aircall, RingCentral, and more. It records, transcribes, and summarizes every conversation.

Summaries are structured using your predefined templates (“Candidate Screening Summary,” “Client Call Summary”) and synced directly with Recruiterflow.

Use it on every call. Candidate screenings, client intake calls, team debriefs. AIRA Notetaker captures it all so recruiters can stay present in the conversation instead of typing notes.

AIRA Notetaker is the entry point for several downstream agents. Once a call is captured, the Task Agent extracts follow-ups, Update Field Agents write details back to the CRM, and the Summarisation Agent condenses the conversation into a brief. It’s the foundation of the post-conversation workflow.

Scorecard Agent

Generates structured evaluation scorecards for candidates against role-specific criteria. Use it during or after candidate screenings and interviews to ensure every candidate is assessed on the same framework, making it easier to present objective, side-by-side comparisons to clients.

Summarisation Agent

Condenses full candidate, contact, or company profiles into quick briefs. Instead of scrolling through an entire profile history (resumes, notes, emails, call logs), the Summarisation Agent gives you the key information in seconds.

Use it before a call, when preparing a submission, when briefing a colleague, or when you need to quickly assess whether a candidate is worth pursuing. Summaries can be saved and reused across Recruiterflow in MPC pitches, formatted resumes, email templates, and the client portal.

How to keep your recruiting database updated automatically with Recruiterflow

Recruiterflow uses four AI agents to keep your database current without manual data entry: Update Field Agents (auto-update profiles from calls, files, and activity), Research Agent (gathers intelligence on people and companies before outreach), Job Change Alerts (monitors your database 24/7 for role changes and promotions), and Email Finder and Phone Finder (find and verify contact information natively).

These agents run in the background, making your data more valuable with every interaction instead of letting it decay.

Update Field Agents

Work in the background to update candidate, contact, company, and job profiles automatically, pulling details from calls, uploaded files, and recruiting activities. By the time you hang up a call, the profile is already updated.

Update Field Agents run automatically after AIRA Notetaker logs a call. They extract key details (skills, salary expectations, notice period, availability, preferences) and write them back to the profile. You can choose whether AIRA updates automatically or suggests changes for your review.

Before automated agents, updating a profile after a call takes around 10 minutes. With them, it takes 30 seconds. Over 10 calls a day, that’s 1.5+ hours saved daily. And clean data makes every other agent (Matchmaker, Search, Job Change Alerts) work better.

Research Agent

Gathers intelligence on people and companies before outreach. Instead of manually Googling a prospect, checking their LinkedIn, and scanning news, the Research Agent compiles insights so you can approach every conversation informed.

Use it before outreach to a new client or candidate, before a business development call, or before an intake meeting. Once you’ve found a company or contact you want to engage, the Research Agent provides the intelligence that makes your first message relevant, not generic.

Job Change Alerts

Monitors your entire database 24/7 and flags when a contact changes jobs or gets promoted. A candidate who moved into a decision-maker role becomes a business development opportunity. A placed candidate who changes companies becomes a re-engagement opportunity.

Job Change Alerts run continuously in the background. When a change is detected, you’re notified, turning stale records into live opportunities. Firms using Job Change Alerts cut time to first submittal by 34% and see 12% higher placements on average. A detected change can trigger a sequence, prompt a call, or update a record, surfacing signals most firms miss because they don’t have the bandwidth to check manually.

Email Finder

Automatically finds and adds verified work email addresses for candidates and contacts in your database. When a new candidate is added (via AIRA Source, Chrome extension, or manual entry), the Email Finder verifies and attaches a work email so outreach can start immediately. No bouncing between enrichment tools and your ATS.

Phone Finder

Automatically finds and adds verified phone numbers for candidates and contacts. Particularly useful for roles where phone outreach is part of the cadence: executive search, urgent fills, high-touch placements. Together with the Email Finder, they ensure your outreach sequences have the contact data they need to actually reach candidates across channels.

How AIRA’s Agentic Orchestration Works

Most AI tools in recruiting run in isolation. You trigger one, get an output, copy it somewhere, trigger the next. AIRA works differently. The output of one agent becomes the input for the next, automatically, without you moving data between steps.

This is agentic orchestration: agents chained together, where each one picks up where the previous one left off. No manual handoffs. No copy-pasting between screens.

Here’s what that looks like in practice, from a single intake call to a submitted candidate:

Step 1: Intake call happens. AIRA Notetaker joins the call, records it, and generates a structured summary. The summary captures what the client needs: “urgently looking for a UI/UX designer for a 3-month contract, needs Figma experience, available to start next week.”

Step 2: A new mandate is created. The role details from the Notetaker summary flow into the job record. Update Field Agents write the key requirements back to the job profile automatically.

Step 3: Three sourcing agents fire in parallel. AIRA Source searches externally and surfaces verified profiles matching the brief. AIRA Matchmaker ranks candidates already in your database by semantic fit against the role criteria, returning scored results (criteria scores for relevant experience, specific skills like UI/UX and Figma). Ask AIRA lets you conversationally shortlist from the combined pipeline.

Step 4: Shortlist is created. The best candidates from all three agents are consolidated into a shortlist, with match reasoning and criteria scores attached.

Step 5: Submission Agent drafts the write-up. The Submission Agent pulls context from the candidate profile, the Notetaker summary, and the match reasoning to draft a client-ready submission email. Review, edit if needed, send.

Step 6: Candidate submitted. The candidate moves to “Submitted” in the pipeline. The record is updated. The client gets a structured write-up, not a forwarded resume.

This is what separates an AI-native ATS from a traditional ATS with AI features bolted on. In a bolt-on model, each of those steps is a separate tool, a separate click, a separate screen.

In an orchestrated model, the agents talk to each other. The Notetaker’s output is the Matchmaker’s input. The Matchmaker’s output is the Submission Agent’s input. The chain runs.

Frequently Asked Questions

How is AIRA on Recruiterflow different from ChatGPT?

ChatGPT is a general-purpose AI assistant, useful for ad hoc tasks like rewriting a job description or brainstorming interview questions. AIRA agents are purpose-built for specific recruiting workflows. They read your CRM data, act inside your pipeline, and write back to your records. ChatGPT generates text on demand. AIRA agents own tasks end to end.

What are AIRA credits and how are they used?

Each time an AIRA agent runs, it consumes 1 or 2 credits depending on the agent. For example, when AIRA Notetaker logs a call and the Update Field Agent updates the candidate profile, that’s 2 credits. You can track credit usage in real-time on the Agents page inside Recruiterflow.

Which Recruiterflow plan includes AIRA agents?

AIRA agents are available on Recruiterflow’s Custom AI Plan. Core platform features (ATS, CRM, sequences, automation) are available on lower tiers, but the full AIRA agent suite requires the Custom AI Plan.

Can I request a custom AIRA agent?

Yes. If your firm has a workflow that existing agents don’t cover, Recruiterflow’s team can build a custom agent tailored to your operations. There’s a request form on the Recruiterflow AI page.

AIRA is available on Recruiterflow’s Custom AI Plan. Book a demo to see the agents in action inside your own workflow.