How AI Helps Executive Search Firms Build Better Longlists, Starting With Your Own CRM

With the search strategy established, your firm begins identifying talent that is qualified, interested and available across the market. The objective of the research stage is to identify the most relevant executives rather than simply ...

How AI Helps Executive Search Firms Set a Smarter Search Strategy

Once a search has been pitched and won, the first mandate is determining what the client is actually searching for, what qualifies a great fit and which leadership skills are required for success. The search strategy becomes the roadmap ...

How AI Helps Executive Search Firms Win New Work: From Pitch Preparation to Advisory Preparation

Finding an opportunity is only the beginning. Winning a retained search requires your firm to demonstrate that it understands the client's problem, possesses relevant expertise and has a credible process and talent network for solving it. ...

Purpose-Built A.I. for Specialized Executive Recruiters

The executive search industry is evolving—and firms that don't adopt the right A.I. tools risk falling behind. Without the right A.I. capabilities in place, teams face growing inefficiencies: cluttered databases, longer search cycles, more ...

3 Ways Data Enrichment Accelerates Your Research and Outreach Process

For retained executive search firms, data quality isn’t just a backend concern—it directly impacts how fast and accurately you can execute every search. Outdated candidate and company records, missing details, and time-consuming ...

The Difference In Contingency Recruiting vs Retained Search: Which One Is Right for You?

Executive Recruiters operate under two primary business models: contingency and retained search. For the sake of clarity, executive recruiters conducting a contingency search are paid only upon the successful placement of a candidate; ...