CORE PRINCIPLES
Three principles steer what we build
01
Outcome-focused
Heath AI asks, “how much P&L impact can this program deliver?” before we build. We are engineered for real outcomes.
02
Technology-agnostic
We rebuild underlying process for AI, using the best tooling available — not limited to single vendor features or APIs.
03
Continuous improvement
We deliver the outcome, keep it working, and improve iteratively as your business and the technology evolve.
OPERATING MODEL
Scope to production, delivered in weeks
01
Scope
Scoping call to identify the highest P&L impact opportunities via AI and automation.
02
Design
Workflow design workshop with your senior team to reconfigure existing processes for AI.
03
Build
Implementation in Heath AI, secure integration with existing data sources, governance and security.
04
Deploy
First automation(s) live; ongoing managed support, maintenance, upgrades and upkeep.
YOUR DATA, SECURED
Your systems, connected safely
01
Your systems of record
We connect securely to the tools, data, documents and precedents your business already runs on.
02
Best-fit for each task
We pick the best-fit model, automation tooling and connectors for each task. The model-cost risk is on us, within agreed scope.
03
Private, secure, compliant
GDPR-compliant, contained, and never used to train external models.
THE TEAM
Not consultants. Proven PE-backed technology transformation operators.
George Downing — Co-founder & CEO
PE-backed technology transformation leader across operations, go-to-market and M&A in the European mid-market. Co-founded Heath AI to reboot AI adoption for P&L impact.
Andrew Howard — Co-founder & CTO
Former CEO & CTO, Kudelski Security. Led a University Affiliated Research Center (UARC) at Georgia Tech focused on cybersecurity. Twice served on the WEF’s Global Future Council on cybersecurity.
Decades of combined PE operating experience across infrastructure, data, automation and security.