Strategy, build, and scale — under one roof, one team, zero excuses. Built for hospitals, banks, and anyone else who can't just "move fast and break things."
Most AI firms pick a lane: strategy without delivery, or code without governance. Regulated industries need both — from people who've actually sat in your seat.
Every engagement starts with governance and ends with you not needing us anymore. No handoffs. No gaps. No 200-slide decks nobody reads.
We map your risk, size your opportunity, and hand you a governance architecture that scales with you — not against you. No discovery theater. Just decisions.
Engineering squads that ship real, production-grade AI — faster and cheaper than hiring your own team. You pay for what ships, not hours logged.
Deploying AI is easy. Sustaining it is the hard part. We build the org, the governance council, and the muscle memory — so it outlives us.
We work where AI mistakes actually cost something — a diagnosis, a dollar, a brand. Governance isn't a nice-to-have here. It's existential.
"If your AI touches a patient chart or a bank account, 'we'll patch it later' isn't a plan. It's a headline waiting to happen."
Founder & Principal, Asis Advisory — formerly Fortune 50 AI & Governance Executive
Four pillars that let you innovate without losing sleep — because "responsible" and "creative" were never supposed to be opposites. Industry-agnostic, battle-tested, yours to steal.
Clear policy, defined decision rights, and accountability from day one — so your team can move fast without setting off alarms in legal.
Data protection, access control, and model risk management built into the foundation — not bolted on after something breaks.
Real-time visibility into performance, bias, and drift — numbers your board believes, not vibes your team hopes are true.
The org, infrastructure, and muscle memory to take AI from one team's experiment to everyone's advantage — without the wheels coming off.
A playbook we've run before. No 18-month timelines, no discovery theater. Just work — and things that ship.
Readiness audit, use-case map, regulatory gut-check, stakeholder buy-in. You'll know exactly where you stand before we touch a line of code.
Governance architecture, technical blueprint, org model, and ROI math that holds up in a board meeting. Bring it to your CFO — we dare you.
Your first AI use case, shipped. Governance running alongside it, not bolted on after. Real software in production — not a slide that says "proof of concept."
CoE stood up. Team trained. Governance humming. You own it outright — we stick around if you want us, or vanish like we were never here.
Asis Advisory was founded by a former Fortune 50 AI executive who built an enterprise AI Center of Excellence from scratch — governance frameworks, engineering infrastructure, and change management, rolled out across 140,000+ employees in regulated healthcare. Not theoretical. Lived it.
We've sat in the chair you're sitting in — board rooms, compliance reviews, union sensitivities, the endless "not yet" conversations. That's the difference between us and a consulting firm that's only ever advised from the outside looking in.
When we say we've done this at scale, we mean it.
Chicago, IL · Women-Led · T200 Member · WLA
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Asis Advisory is a hands-on AI consulting firm that advises, builds, and scales AI systems for regulated industries — combining AI strategy and governance with actual engineering delivery, not just recommendations.
Big consulting firms hand you a strategy deck without writing code; dev shops ship code without governance. Asis Advisory does both — AI strategy, governance, and hands-on build — under one team, with a track record from Fortune 50 AI Center of Excellence work.
Both. Engagements start with an AI readiness and use-case audit, vendor/model/platform evaluation, and governance review of existing systems, then move into hands-on engineering, deployment, and Center of Excellence build-out.
Regulated and high-stakes industries where AI mistakes are costly — healthcare systems and payers, medical devices and diagnostics, pharma and life sciences, financial services, manufacturing and supply chain, and retail/CPG and fashion.
Three entry points: Advise (AI strategy, governance architecture, compliance mapping), Build (custom AI/ML engineering, agent frameworks, RAG pipelines, platform integration), and Scale (AI Center of Excellence setup, governance councils, talent strategy, AI FinOps).
The standard playbook runs 90 days from kickoff to a first AI use case shipped and governed in production — roughly 2 weeks to diagnose, 2 weeks to design, and 8 weeks to build and deploy, followed by ongoing scale and governance support.
Chicago, IL — women-led, founded by a former Fortune 50 AI and governance executive who built an enterprise AI Center of Excellence from scratch across 140,000+ employees in regulated healthcare.