1) Everyone’s finding their own way.
Different prompts, different levels of confidence. Without shared standards and clear ownership, useful experiments stay with individuals.
For executive search firms
Grow the business. Without adding more overhead.
Reduce the manual work that eats into your team’s week, so they have more time for clients, candidates and winning the next mandate.
We've done this from inside a search firm.
7 → 20
people, with the operating layer rebuilt as the firm grew
50–85%
less time on key deliverables
Most firms use AI. Few have it reliably generating value.
2) Admin is crowding out the work that wins.
Interview notes, candidate summaries, status reports. Necessary work, but it takes hours your team could spend on candidates, clients and BD.
3) Buying the tool was the easy part.
Getting value means building AI into how your team works, connected to your systems and following your standards. We build and test those workflows with your team, with clear ownership to keep them running after handover.
Build an advantage that compounds.
AI is already widely used in executive search. Fewer firms have built it into how work gets done across the team.
91%
use general-purpose AI tools
20%
report broad AI adoption across multiple workflows
Source: Hunt Scanlon Media
Find the right starting point. Get one workflow running.
Our proprietary Search Lifecycle AI Map helps us agree where AI can act and where your team must review, approve or lead. Candidate decisions, client advice and relationships stay with you.
If the workflow falls short of the agreed criteria, we fix it.
Before your Sprint begins, we agree what the workflow must do, the standards it must meet and how we will test it.
If the delivered workflow fails those acceptance criteria, we correct the gaps within the agreed scope at no additional cost.
These corrections are separate from your included round of refinements.
Meet the team.
Oana Blandea
Co-Founder, Search Operations & AI
Oana spent three years inside an executive search firm, improving day-to-day operations through workflow automation and internal AI tools. Before that, she spent six years in business intelligence and strategy at two of Canada’s largest law firms.
Shailendra Mann
Co-Founder, Technology Delivery
Shailendra has more than 15 years of enterprise technology leadership experience across financial services, healthcare and SaaS. His experience includes a $120M core banking transformation and teams of more than 400 people.
Sebastian Buzdugan
AI Engineering
Sebastian is an ML engineer and PhD candidate in AI, specializing in large language models, retrieval-augmented generation and knowledge graphs.
Shankar Samidala
Platform Engineering
Shankar is a senior platform engineer with more than five years of experience across AWS, Azure and GCP. He specializes in cloud infrastructure and reliability at scale.
Frequently asked questions
What work would you like to take off your team’s plate?
Tell us where time is going and what you want to improve. We’ll discuss whether a Diagnostic is a useful next step.
Automate the machinery. Preserve the judgment.