AI Agents · Recruitment & Staffing

AI Agents built
for your recruitment
agency — your process, your rules, our build.

We design and deploy custom autonomous AI agents that match your exact workflow — sourcing, outreach, pipeline management, admin and beyond. Running 24/7 while your team focuses on what only humans can do.

AI Agents
Running 24/7
Sourcing Agent
IDLE
LinkedIn/GitHub
Outreach Agent
IDLE
Waiting...
Scheduling Agent
IDLE
Waiting...
10+ Years Recruitment tech expertise
120+ Countries software trusted globally
Custom-Built Agents for your exact workflow
24/7 Operations — pipeline never stops
The Problem

Your recruiters are spending half their week on tasks that AI agents can handle automatically.

Staffing teams waste critical fee-earning hours on repeatable manual administration, slow sourcing, and clunky outreach loops.

Problem 01

Manual sourcing burns your best consultant hours

Trawling LinkedIn, databases and job boards for candidate lists is the most time-consuming task in any recruitment workflow — and the one where AI delivers the most immediate return. An autonomous sourcing agent does it continuously, without fatigue, while your consultants are pitching clients.

Problem 02

Outreach is slow, inconsistent and hard to scale

Personalised outreach at volume is impossible to sustain manually. Generic bulk messages get ignored. AI outreach agents write contextually personalised messages for every candidate — and follow up automatically when there's no reply, keeping engagement alive without any recruiter effort.

Problem 03

Admin, pipelines and reporting fall through the gaps

Candidates go cold because follow-ups were missed. ATS data is out of date. Interview scheduling eats four email threads. These are process failures, not people failures — and every single one of them can be fully automated with the right AI agent workflow.

Built For You · Not Off The Shelf

We build AI agents around your business, not a template.

Every recruitment agency operates differently. Your ATS, your sourcing channels, your candidate engagement style, your client reporting cadence — all of it is unique to you. That's why we don't sell you a pre-built tool. We design AI agents from the ground up based on how your firm actually works.

  • Custom agent design based on your exact workflow, tools and team structure
  • Any human-intervention process assessed for full or partial automation
  • Integrated with your existing ATS, CRM, email and sourcing platforms
  • Agents built to your compliance and data handling requirements
  • Fully managed by our team — we optimise, not just deploy
How we build your custom agent system
1
Discovery & Workflow Mapping
We map every step of your current recruitment process and identify points where human time is spent on repeatable tasks
2
Automation Opportunity Audit
We identify which processes can be fully automated, which benefit from AI assist, and which stay human
3
Custom Agent Design & Build
We architect a multi-agent system, connect to your existing tools, and thoroughly test before deploying
Our Tech Expertise

We work across every major AI framework, LLM and automation platform — so you don't have to choose.

Whether you have an existing tech stack or are starting from scratch, we select the right tools for your workflow — not the other way around.

Agent Frameworks & Orchestration

We build agentic workflows using the leading automation and orchestration platforms — giving your agents the ability to reason, plan and execute multi-step tasks independently.

n8nLangChainCrewAIAutoGenMake

Large Language Models (LLMs)

We're model-agnostic. We select and integrate the right LLM for your use case — balancing performance, cost, speed and data privacy requirements specific to your recruitment firm.

GPT-4oClaudeGeminiMistralLlama

Vector Databases & Memory

Agents need long-term memory to understand your candidate database, historical placements and client preferences. We implement vector database layers that give your AI agents accurate, searchable context.

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Also integrated with your existing recruitment stack

We connect AI agents directly to iSmartRecruit, Bullhorn, Vincere, Loxo, JobAdder, LinkedIn, Greenhouse, Lever and most leading ATS and CRM platforms.

Discuss your stack →
Always On · 24 Hours, 7 Days

Your AI agents work while your team sleeps — your pipeline never stops.

Your consultants work business hours. Candidates browse job opportunities at 10pm. Clients send briefs on Sunday morning. Competitor agencies respond faster because they've already automated what you're still doing manually.

AI agents have no office hours. Your sourcing runs overnight, your outreach sequences trigger at optimal send times, and your pipeline updates in real time — so every morning your team wakes up to work that's already been done.

  • Candidate sourcing runs 24/7 across all channels simultaneously
  • Outreach messages sent at candidate-optimal times, not business hours only
  • Pipeline and ATS always current — no Monday morning catch-up
  • Inbound applications screened instantly, around the clock
  • Your consultants start every day with productive work already done
Always-On Efficiency Stats
24/7
Continuous operation
8.5x
Active recruiter hours
Active Hours Per Week
Your team
45h
AI agents
168h
Speed & Efficiency

Do more, place faster, and scale without adding headcount.

The agencies that grow fastest in the next five years won't be the ones with the most consultants. They'll be the ones whose workflows are the most efficient. AI agents are the engine behind that efficiency.

Dramatically faster time-to-shortlist

What previously took a recruiter two days of manual sourcing — finding, filtering and scoring candidates against a brief — an AI sourcing agent completes in hours. Your shortlist is ready before your competition has started searching.

Hours not days

Scale your capacity without scaling your team

AI agents allow your existing consultants to run twice the number of active roles simultaneously. The sourcing, outreach and pipeline management happens autonomously — so each consultant can focus on the conversations and placements that actually generate revenue.

2× role capacity

Better candidate quality, less sifting

AI scoring agents evaluate candidates against your brief with consistency and precision — removing mismatches instantly and surfacing only genuinely qualified profiles. Your team spends their time on the right conversations, not filtering out unsuitable CVs.

Higher match quality
The Future of Recruitment

This isn't a trend. It's a fundamental shift in how recruitment businesses compete.

Within the next three years, the majority of high-performing recruitment agencies will run on agentic AI infrastructure. Sourcing, outreach, candidate engagement and admin will be predominantly automated — freeing consultants to focus entirely on relationships and strategy. The agencies that start building this capability now will be the ones that dominate their niches. The ones that wait will find themselves perpetually playing catch-up.

Today

Early adopters deploying AI agents. Manual workflows start falling behind.

2025–2026

AI-first agencies pulling away. Agentic workflows become competitive standard.

2027+

Full agentic recruitment infrastructure the norm. Manual-only agencies uncompetitive.

The transformation starts with one conversation. We'll show you exactly where to begin.

Start Your AI Transformation →
FAQ

Common questions about AI agents for recruitment agencies

Everything you need to know about implementing autonomous digital workers in your staffing or search firm.

AI agents in recruitment are autonomous software systems that execute multi-step tasks — sourcing candidates, sending outreach, updating your ATS, scheduling interviews — without requiring a human trigger for each action. At iKraft, we build custom multi-agent systems tailored to your specific recruitment workflow, integrated with your existing tools and managed by our team ongoing.
Yes — custom build is exactly what we do. We don't offer off-the-shelf tools. Every agent system we build starts with a discovery session where we map your existing workflow, identify automation opportunities and design agents that fit how your firm actually operates. Your ATS, sourcing channels, outreach style and reporting cadence are all factored into the design from day one.
The processes most commonly automated include: candidate sourcing across LinkedIn and job boards, personalised outreach and follow-up sequences, candidate scoring and shortlisting, ATS data entry and pipeline updates, interview scheduling, inbound application screening, and weekly performance reporting. As a general rule, any process in your agency that involves a human completing a repeatable, rules-based task is a strong candidate for full or partial AI agent automation.
We work across all major AI agent frameworks including n8n, LangChain, CrewAI, AutoGen and Make, and we're model-agnostic across LLMs — including ChatGPT (GPT-4o), Claude, Gemini, Mistral and Llama. For memory and candidate database search, we implement vector databases including Pinecone, Weaviate, Qdrant and pgvector. We select the right combination for your specific use case, budget and data privacy requirements.
That's completely normal — and it's exactly what our free consultation is designed for. You don't need to arrive with a brief. Book a 30-minute call and we'll review your current recruitment workflow, identify which tasks are consuming the most time, and give you a clear, prioritised map of the automation opportunities available to your firm. No technical knowledge required on your part.
Yes, AI agents operate continuously without downtime, fatigue or office hours. In practice, this means your sourcing runs overnight and surfaces fresh candidates each morning. Outreach messages are triggered at optimal response times rather than business hours only. Your ATS is always current. A standard 45-hour working week becomes 168 hours of active recruiting activity — without adding headcount. The agencies that respond to candidates faster and fill pipelines faster win more business.
AI agents improve recruitment efficiency in three core ways: speed (shortlists produced in hours rather than days), scale (each consultant can run twice the number of active roles) and quality (AI scoring removes mismatches before they reach your team). The combined result is that your consultants spend a far greater proportion of their time on revenue-generating activity — client conversations, candidate interviews and placements — rather than admin and sourcing.
The agencies building agentic AI capability now are already pulling ahead of their competitors. Sourcing speed, outreach volume and pipeline efficiency are measurably better for firms running AI agent workflows. By 2027, agentic infrastructure is expected to be the operational standard for high-performing recruitment businesses. Starting now means building a sustainable competitive advantage — not catching up with the market later.
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