AI Agents library
Autonomous AI agents for recruiting agencies
A library of pre-built AI agents that work inside your Leonar workspace, plus a custom agent development service for workflows specific to your agency. You stay in control. The agent handles the repetitive work.
Used by 300+ high-growth recruiting teams and agencies globally
The agents library
Three production-grade agents today, more shipping in 2026. Each one runs inside your Leonar workspace, learns from your team, and keeps a full audit log of every action it takes.
Sourcing Agent
Daily qualified shortlists
Runs every day to find candidates who match your live job briefs. Pulls from 800M+ profiles across LinkedIn, GitHub, and the Leonar database, ranks the top fits, and pushes a shortlist straight into your project pipeline. Learns from which suggestions your team accepts or rejects.
- Daily suggestions for every active role
- Learns from recruiter feedback over time
- Per-candidate fit explanation against your criteria
- Verified emails and phones included automatically
- Model and monthly budget control
From €99/mo + AI usage
Conversations Agent
Drafts replies and surfaces next actions
Reads the candidate inbox, drafts on-brand replies in your team voice, summarizes long threads in seconds, and recommends the next action: book interview, send follow-up, archive. Keeps the human in the loop on every send.
- On-brand reply drafts across email, LinkedIn, WhatsApp
- Thread summaries on long candidate conversations
- Next-action suggestions with one-click execution
- Tone and language control per workspace
From €19/mo + AI usage
Business Development Agent
Finds target accounts and drafts outreach
For agency owners doing BD personally. Identifies companies matching your ideal client profile, surfaces hiring signals (new VP hires, funding rounds, job posts), drafts personalized outbound sequences, and logs every touchpoint on the Company record.
- Target account discovery against your ICP
- Hiring signal alerts (VP moves, fundraises, job posts)
- Personalized outbound sequence drafts
- Lead prioritization based on engagement signals
- Follow-up scheduling on the CRM record
From €149/mo + AI usage
How a Leonar agent actually works
Not a chatbot. Not a generic AI wrapper. An agent that reads, writes, and acts on your recruiting data, with the human in the loop.
1. Runs inside your workspace
Each agent operates against your Leonar data: candidates, projects, deals, companies, sequences, inbox. It uses the same permissions as your team. No data leaves your tenant.
2. Acts on a schedule or on demand
Set it to run daily, hourly, or trigger it from a Slack command. Each run produces a list of proposed actions you can accept, edit, or reject before they ship.
3. Learns from your feedback
Every accept, edit, and reject feeds the agent's preference model. After two weeks of running, the agent's suggestions look like a senior consultant who knows your book.
4. You stay in control
Model selection, monthly budget cap, audit log per action, paused mode at one click. The agent is a tool your team commands, not a black box that decides for you.
Service
Custom AI agent development
Library agents cover the common workflows. For everything else, our team designs, builds, and deploys a custom AI agent tailored to your process. Engagement runs in four stages.
- 1
Workflow discovery
We sit with your team to map the workflow the agent should handle, the data it needs, and the success criteria.
- 2
Agent design
We design the agent's prompts, tool calls, guardrails, and review queue. You see the agent before it ships.
- 3
Implementation
We build the agent on the Leonar platform, integrated with your workspace data and existing pipelines.
- 4
Monitoring + iteration
We monitor the agent's actions, track quality signals, and iterate weekly with your team for the first 90 days.
Examples of custom agents we have built
- Automatically qualify inbound candidates against your scorecard
- Detect warm leads in your CRM that have not been touched in 30 days
- Generate weekly client reports with pipeline updates
- Monitor job changes in your talent pool and surface re-engagement opportunities
- Build a sourcing workflow for a niche market (medical staffing, defense, life sciences)
Or bring your own agent through MCP
Already running Claude or ChatGPT in your stack? Leonar exposes a native Model Context Protocol server. Your agent connects directly to your candidate database, pipelines, and sequences, and acts in natural language. No screen-scraping, no custom integration work.
Frequently asked questions
What is a Leonar AI agent?
A Leonar AI agent is an autonomous worker that runs inside your recruiting workspace. It executes a specific job (sourcing, replying to candidates, business development) on a schedule or on demand, learns from your team's feedback, and keeps a full log of every action it takes. You stay in control through a review queue, budget caps, and model selection. The agent handles the repetitive work that your consultants keep forgetting.
How do agents differ from generic AI chatbots?
Generic chatbots answer questions about your data. Agents act on your data. A Leonar agent reads your candidate database, writes back to it, triggers sequences, schedules calls, and updates pipelines. It is the difference between a search engine and a colleague who closes loops. Our agents run on the same engine your team uses (the Leonar workspace), so every action is auditable and reversible.
How does an agent learn from my team?
Every time your recruiters accept, reject, or edit an agent suggestion, that signal feeds back into the model. The Sourcing Agent learns which seniority signals and company types you actually engage with. The Conversations Agent learns your team's voice and the next-actions your recruiters typically take. The longer the agent runs, the more aligned it becomes with your practice.
Can we ask for a custom AI agent?
Yes. Beyond the library agents, our team designs, builds, and deploys custom AI agents for client-specific workflows. Examples: automatically qualify inbound candidates, detect warm leads in your CRM, generate weekly client reports, monitor job changes in your talent pool, or run a sourcing workflow for a niche market. Engagement includes workflow discovery, agent design, implementation, monitoring, and iteration with your team.
Which AI models power the agents?
Each agent runs on the model best suited to its job, today a mix of Claude (Anthropic) and GPT (OpenAI) models. You can change the model from the agent settings if you prefer one provider, and the pricing is the same. Bring your own key is on the roadmap for teams with enterprise AI contracts.
How is pricing structured?
Each agent has a beta seat price starting from €19 to €149 per month, plus real AI usage with a monthly cap you set. The cap protects you against unexpected bills. The Sourcing Agent is currently available; the Conversations Agent and Business Development Agent are in beta and shipping in 2026. See the pricing page for full details.
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