Case studies

Hard searches, solved.

How we approach the searches that matter most, the framework behind every engagement, with illustrative examples of the work.

Illustrative examples

Anonymized · representative of our work

Technology · Contract

An urgent contract backfill on a live project

Challenge: A technology team lost a key engineer mid-project and needed a skilled replacement on contract within days to keep delivery on track.
Approach: We mapped the available contract market for the exact stack, approached pre-qualified professionals, and coordinated fast interviews.
AI contribution: Skill-accurate matching surfaced available contractors with the precise stack, cutting time spent on unqualified profiles.
Human expertise: Recruiters screened for capability and ramp-up speed, so the contractor could contribute from day one.
Result: A qualified contractor engaged quickly, with the project kept moving and minimal disruption.

Technology · Team build

Building a delivery team around a new initiative

Challenge: A company launching a strategic technology initiative needed several specialized engineers at once, on a tight timeline.
Approach: We treated it as a coordinated team build rather than separate hires, mapping the skill landscape and running parallel searches with a shared bar.
AI contribution: Skill-accurate matching identified professionals with the exact, current stack, cutting time spent on unqualified profiles.
Human expertise: Recruiters screened for capability and collaboration, so the team fit together, not just individually strong on paper.
Result: A complete, coordinated team assembled to the same standard, faster than filling each seat in sequence.

Technology · Niche skill

A hard-to-find IT specialist where advertising had failed

Challenge: A technology company had advertised a niche engineering role for months with no qualified applicants, and needed the capability on contract.
Approach: We shifted from advertising to direct approach, identifying the small population who could actually do the work and reaching them with a relevant, credible pitch.
AI contribution: Talent intelligence located specialists who were employed and not looking, invisible to a job posting.
Human expertise: A precise, respectful approach earned conversations with passive candidates who would never have applied.
Result: Qualified specialists engaged and assessed, the role moved from stalled to a live, credible shortlist.

These are anonymized, illustrative examples representative of the searches we run. They do not describe specific named clients or report specific metrics. Named case studies are published only with client consent.

How we tell every story

The anatomy of a search.

Client challenge

The business context and why the role mattered.

Talent problem

What made the search hard, scarcity, confidentiality or speed.

Search strategy

How we mapped the market and approached the talent.

AI contribution

Where talent intelligence accelerated or sharpened the search.

Human expertise

The judgment, assessment and relationships that closed it.

Result

The outcome, role filled, timeline, and impact.

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