Recruiting & Staffing
Win More Placements With
AI-Powered Recruiting Operations
The agencies that thrive in 2026 don't just source faster — they build proprietary talent pools, automate BizDev intelligence, and let AI handle the work that used to take hours.
Book a CallRecruiting in 2026
The rise of direct sourcing
Hiring managers use AI sourcing platforms and LinkedIn Recruiter automation to find candidates themselves and ask: “If external recruiters just use the same tools, why should we pay the fees?”
Skills-based hiring disrupts traditional recruiting
Hiring is shifting from job-title and degree-based filtering to skills-based matching, which requires deeper technical evaluation, assessment platforms, and data on capabilities.
The agencies that win look very different
The agencies doing well in 2026 typically shifted from transactional recruiting to specialized or consultative models — niche expertise (quant trading, cybersecurity, AI), embedded recruiting / RPO, talent intelligence, or leadership advisory instead of pure placement.
How We Help Recruiting & Staffing Agencies
Stop losing fees to internal teams. Build data moats and automated pipelines that clients can't easily replicate.
Talent Pool Ramp-up Sprint
Goal
Build a talent pool dashboard and continuously update it with fresh candidate data.
How it works
We connect several tools and databases to pull data about prospective candidates in a niche, import it to a dashboard, and let AI agents pre-screen them automatically. This helps create a talent pool that attracts clients and the agency can tap as soon as a new role opens.
Tools we integrate
Why this matters in 2026
Now when everyone uses the same tools, a strong talent pool with pre-screened candidates in a niche area is the biggest asset of a recruiting agency.

“This sprint is a game changer for agencies that have a few clear niches they focus on. It creates an immediate competitive advantage over internal TA teams. However, it's not a fit for generalist recruiting agencies that work on any roles.”
— Michal Juhas, Founder
Hiring Intelligence BizDev Sprint
Goal
Build a dashboard where BDs and AMs see companies in their target region and industries that opened new roles or got funded.
How it works
It integrates data from several public databases and every day monitors job boards of target companies for new roles. The system surfaces warm leads who actually have budget and urgency to hire right now.
Data Sources
Why this matters in 2026
BDs and AMs waste time looking for information manually when AI can do it for them, or worse—they blast mass generic emails to prospective clients with terrible response rates. Context is king.

“This is built specifically for recruiting agencies that have in-house Business Development or Account Management teams and need to find new clients to recruit for. Stop cold guessing and start reaching out to companies the exact week they get funded or post a new role.”
— Michal Juhas, Founder
Recruiting BackOffice Sprint
Goal
Integrate data from different sources for AI to analyze and every day identify biggest gaps and missed opportunities.
How it works
Connect ATS, CRM, and your spreadsheets with BigQuery and Looker, where GPT or Gemini AI can access data and prepare reports.
Data Sources
Why this matters in 2026
Recruiters miss candidate messages or forget to follow-up, AMs don't update or follow-up on new opportunities, and your business is loosing money. AI can identify such situations if it has access to the data and notify managers.

“This is for agencies that already have a good volume of candidates and clients, but are losing revenue due to human error and lack of follow-up. We plug the leaks in your pipeline.”
— Michal Juhas, Founder

Michal Juhas
Founder & AI Automation Expert
Michal has been working in the recruiting industry hands-on for the last 7 years, building automation systems for sourcing, screening, and business development workflows.
He has consulted and trained for 40+ clients across the US, UK, EU, and UAE — from boutique agencies to large staffing firms — helping them deploy AI-powered operations that reduce manual work and improve placement speed.