Your Recruiters Were Hired to Close. Not to Search.
Every hour they spend inside a search interface is an hour not spent on the call, the relationship, or the deal. Wiggli's Autonomous AI Sourcing Agent finds, ranks, and explains a shortlist while your team does the work that actually gets your agency paid.
Less time on
sourcing per role
Your recruiters get back 9+ hours a week. That time goes back to calls, relationships, and closes.
Faster candidate submissions
Shortlists that used to take days are ready in hours. You get to the client first.
Reduction in
time-to-hire
From brief to placed…the whole timeline compresses when sourcing stops being the bottleneck.
Tab. From brief to
shortlist to outreach.
No Boolean string. No tool-switching. No context rebuild. The whole sourcing workflow runs in Wiggli.
Your Most Expensive People Are Doing Your Cheapest Work.
What does a recruiter at your firm actually spend Tuesday doing?
They built a Boolean string at 9 a.m. By 3 p.m. it had quietly degraded. They screened 80 profiles. Three were worth calling. They found those three at 5 p.m.
That’s not a talent shortage. It’s a workflow problem, and it sits at the center of your P&L whether it shows up on any report or not.
The math is uncomfortable:
The agency with a shortlist on day two wins. The agency still refining its search on day nine is already too late.
And Boolean search? It has a structural ceiling.
A missing synonym silently removes qualified candidates from your results. In a multilingual market: French, Dutch, German, English, a single role goes by four to six different titles. Miss one and you miss everyone behind it.
Keyword search only returns matches. It can’t tell the difference between a candidate who looks right on paper and one who can do the job. It hands your recruiter a second full-time job: combing through hundreds of profiles to find the three worth calling.
From August 2026, How You Source Is a Compliance Question, Not Just an Operational One.
Under Annex III of the EU AI Act, AI used to recruit, filter, and evaluate candidates is classified as high-risk. The obligations including human oversight under Article 14, transparency, technical documentation, and event logging are enforceable from August 2026.
GDPR Article 22 already gives candidates the right not to be subject to a decision based solely on automated processing. A system that returns a ranked list with no explanation, no human checkpoint, and no ability to override it is a compliance exposure.
In the U.S., state-level AI hiring legislation is moving fast. New York City already requires bias audits for automated employment decision tools. Illinois, Maryland, and Washington have followed with their own requirements around AI in hiring. The direction of travel is clear; and the agencies building human oversight into their workflow now are the ones who will not be scrambling to retrofit it later.
Some agencies saw the regulations coming and panicked. Others saw them coming and got ready.
Wiggli was architected around human oversight from day one; not because regulators asked, but because it makes the system better. The recruiter stays in control of every consequential decision, on both sides of the Atlantic.
Agent 1: The Intake Specialist
Not a form. A conversation.
Your recruiter describes the role in plain language. The Intake Agent thinks like a senior sourcer with 12 years of market experience. It asks the questions a junior researcher wouldn't know to ask. It pushes back when requirements are unrealistic. It knows the difference between a hard filter and a nice-to-have.
What comes out is a brief sharp enough to run a search without ambiguity. No interpretation gaps. No assumptions carried silently into the results.
Agent 2: The Sourcer
Works wherever your talent actually lives. Doesn't get tired. Doesn't miss a filter. Doesn't misread a job title.
It investigates across 900M+ profiles at 87% enrichment coverage. Not by executing a static string but by continuously analyzing what comes back, adjusting strategy, and refining the candidate pool the way an experienced researcher would. It returns a longlist in minutes, not days.
Agent 3: The Screener
Reads every profile against the brief. Scores candidates across skills, experience, career progression, industry relevance, and context. Then ranks them.
But scoring isn’t the last step.
A dedicated Judge Agent reviews every profile the sourcing and scoring agents put forward and asks one question: would I confidently present this to the recruiter? It weighs strengths, weaknesses, risks, and inconsistencies. Only the profiles that survive that scrutiny make the final shortlist.
The Judge is quality control on the AI's own output.
Then the recruiter steps in.
Not to scroll. Not to filter. But to do what only a human can do: apply years of market expertise, validate the reasoning, and make the call. Every candidate arrives with the matching criteria, the AI evaluation, and a strength analysis.
The recruiter understands exactly why each person was selected. That transparency is what makes meaningful human oversight possible.
If the shortlist isn't right, the recruiter gives feedback and the search recalibrates.
What the Agent Does & What That Means for Your Agency
Questions from founders who've wasted enough Tuesday afternoons on Boolean strings.
Boolean search matches characters, not suitability. A keyword search returns profiles with the right words. It cannot distinguish between a candidate who looks right on paper and a candidate who can actually do the job. Wiggli's agent works differently. It starts with a conversational briefing to understand the actual requirement (not just the keywords). It then investigates the market continuously, adjusting its approach as results come back. Every profile is scored across multiple dimensions, reviewed by a Judge Agent for quality, and delivered with its reasoning attached. The recruiter receives a shortlist they can act on immediately.
No. The AI builds, scores, and explains the shortlist. The recruiter reviews the reasoning and decides who proceeds. This isn’t just good design, it’s how Wiggli satisfies Article 14 of the EU AI Act, which requires effective human oversight of high-risk AI decisions. The human checkpoint is built into the architecture.
After the Sourcing Agent and Screening Agent build and rank the longlist, a dedicated Judge Agent reviews every profile before it reaches the recruiter. It asks one question: would I confidently present this profile to a recruiter? It checks for strengths, weaknesses, risks, and inconsistencies (including high-score profiles that are technically qualified but contextually wrong). The Judge is quality control on the AI's own output. The human checkpoint comes after: the recruiter who reviews the final shortlist.
The approved shortlist flows directly into Wiggli's outreach automation across email, WhatsApp, InMail, and voice notes. Candidates who respond move into your ATS pipeline. Every profile update, every outreach reply, every interview note, and every placement lives in the same connected system. There is no context rebuild. No copy-paste. No tool-switching. The sourcing run and the placement journey are one continuous workflow.
Wiggli is GDPR-compliant and EU-hosted. The platform is built for the obligations that apply under the EU AI Act from August 2026, including transparency, human oversight, technical documentation, and event logging. Candidates' right not to be subject to solely automated decisions under GDPR Article 22 is protected by the recruiter oversight checkpoint built into every shortlist review. You can put this system in front of a client, a candidate, and a national authority with confidence.
The Intake Agent runs a conversational briefing. The Sourcing Agent investigates across 900M+ profiles. The Screener and Judge Agents evaluate and rank the results. The whole process runs in minutes, not days. And you can run 10 simultaneously on different jobs.
Yes. For high-volume staffing, the agent handles the repetition without degradation; the hundredth search is as careful as the first. For executive search, the agent's ability to map across 900M+ profiles using contextual matching rather than keyword matching makes it effective precisely where keyword search fails: the candidates who matter but don't surface for a string.
Immediately, it is part of the strategist tier. The Intake Agent runs its first briefing conversation the same day. All agencies have their first shortlist within few minutes of going live.
Ready to stop paying recruiting rates for search engine work?
Your recruiters were hired to close. Wiggli handles the searching. Brief in. Shortlist out. Your team stays on the work that actually gets your agency paid.
