Matthew J. Cahill is the CEO and Principal Consultant of Percipio Company and
the creator of the LEAAP Framework™ — a diagnostic model identifying
the five highest-cost cognitive bias categories in organizational settings:
Like-Me, Egocentric, Availability, Anchoring, and Proximity bias.
His work is grounded in a single conviction: if you have a brain, you have
bias® — and that bias is costing your organization more than you think.
Not as a compliance issue. As a performance variable.
Over fifteen years, Matthew has coached more than 200 leaders and worked with
over 60 organizations — from Fortune 500 companies including LinkedIn and Salesforce,
to the National Park Service, California Lawyers Association, Northwestern University,
Tec de Monterrey, American Pacific Mortgage, and dozens of small and mid-size
organizations navigating leadership transitions, cultural friction, and the
organizational consequences of unaddressed bias.
"I don't get called when things are smooth. I get called when they're messy —
when smart people have poor relationships, when communication breakdowns are being
called performance issues, and when organizations are managing symptoms instead of
fixing systems."
Matthew chairs three peer advisory groups under the Trusted Advisory Groups™ (TAG™)
model, facilitates bias mitigation workshops for leadership teams and professional
associations, provides one-on-one executive coaching, and deploys structured mediation
in post-investigation environments where relational repair remains.
As Chair of the national Board Composition Committee at the Private Directors
Association (PDA), Matthew brings board-level perspective to governance
challenges that most consultants never see from the inside. He serves on boards,
advises and facilitates board retreats, coaches individual board members, delivers
board development workshops, and deploys structured mediation between board members
or between boards and executive leadership — for both corporate and nonprofit
governance contexts. Recent work includes integrating AI strategy for a statewide
board serving 100+ nonprofits across California, using proprietary facilitation
tools to anchor strategic planning in measurable outcomes rather than consensus theater.
He also works at the intersection of cognitive bias and artificial intelligence —
building customized AI solutions for small businesses and law firms using Claude
(Anthropic) and ChatGPT (OpenAI), with a focus on widespread user adoption and
bias-aware decision-making tools.
