Healthcare AI Governance

AI spend in healthcare
is often under-governed.
We find the waste.
We install the controls.

Aitonoma helps healthcare organizations identify redundant tools, unused licenses, weak vendor controls, and avoidable AI spend — then builds the governance structure to prevent it from happening again.

No patient records required

No EHR access required

Initial findings typically surface within 30 days

Request a Proposal → Run the 5-Minute Diagnostic

// Waste Diagnostic — Healthcare Sector v2.4.1

// Current state

›avg_tools_per_system11.3

›utilization_rate53%

›roi_tracked27% of orgs

›shadow_ai_spendtypically 30–40% more

// Recovery opportunity

›recoverable_pct34%

›audit_roi8–12×

›timeline90 days

›statusReady to audit

$4,830Per-employee AI spend / yr

34%Recoverable in 90 days

8–12×Typical audit ROI

90dStandard engagement

$4,830per-employee AI waste — Zylo 2024 47%of AI tools used less than monthly — Gartner $2.1Tglobal AI spend projected by 2028 — IDC 68%healthcare AI pilots fail to scale — McKinsey 34%recoverable in 90 days — Aitonoma benchmark $4,830per-employee AI waste — Zylo 2024 47%of AI tools used less than monthly — Gartner $2.1Tglobal AI spend projected by 2028 — IDC 68%healthcare AI pilots fail to scale — McKinsey 34%recoverable in 90 days — Aitonoma benchmark

Who This Is For

Built for organizations with real
AI spend and limited visibility.

For CFOs, COOs, CIOs, procurement leaders, innovation teams, and healthcare operators who need to know:

Visibility

What they are actually paying for and whether it is being used

Exposure

Where waste is accumulating and where controls are missing

Action

What to renegotiate, consolidate, or shut down — with the documentation to act

The Problem

AI adoption moved faster
than governance.
That gap is now expensive.

Most healthcare organizations did not create AI sprawl intentionally. It accumulated through department-level purchases, pilots that never matured, overlapping vendors, and contracts renewed without clear utilization data. The result is predictable: fragmented ownership, weak visibility, avoidable spend, and growing governance risk.

The pattern is consistent.

Unused or underused licenses accumulate quietly.

Department-level purchases often persist long after adoption stalls, leaving organizations paying for tools that no longer deliver material value. Contracts auto-renew. No one is accountable.

Pilot programs rarely stay contained.

Once new tools enter clinical, administrative, or operational workflows, they often expand before governance catches up. Leadership moves on. The license remains. The spend continues.

Vendor overlap is common.

Organizations frequently pay for multiple tools that solve the same problem across different teams, contracts, or business units — with no consolidated inventory and no standard for tool selection.

Weak ownership drives repeat waste.

If no one owns utilization review, contract discipline, and renewal controls, waste recurs even after one-time cleanup efforts. The structural problem remains until governance is installed.

Quantify your exposure before the next renewal cycle.

Five questions. Sourced methodology. A directional estimate of annual AI waste — benchmarked against your sector, broken down by category, with the recovery opportunity calculated.

See the Diagnostic →

The Engagement

Three phases.
Ninety days.
No ambiguity.

Phase 01 — Weeks 1–2

Full Inventory

We collect the best available records across contracts, invoices, usage data, procurement trails, and stakeholder interviews to build a defensible picture of your AI and software footprint.

Output: footprint snapshot · key risks · audit scope

Phase 02 — Weeks 3–6

Waste and Value Analysis

We identify redundant vendors, unused licenses, weak renewal logic, low-utilization contracts, and governance failures — then quantify financial exposure and recovery opportunity across each.

Output: vendor register · rationalization matrix · governance findings

Phase 03 — Weeks 7–12

Recovery Architecture

We produce a practical recovery and governance plan: what to cancel, what to consolidate, what to renegotiate, what to keep, and what controls to install going forward. Board-ready where required.

Output: savings waterfall · 90-day action plan · executive readout

The Platform

Your command center.
Every signal. Every dollar at risk.

The Aitonoma dashboard watches your infrastructure 24/7. When something breaks, it scores the dollar impact, diagnoses the root cause, and queues a fix — ranked by what it will cost you if you don't act.

Aitonoma Command Center — action queue ranked by dollar impact

Real-time scoring

Every signal scored by dollar impact,
not just severity label

Root cause + fix plan

AI diagnoses cause and writes
numbered remediation steps

Human approval gate

Nothing executes without
your sign-off

What You Receive

Not commentary.
Operating outputs.

Inventory Map

A structured view of vendors, contracts, owners, spend, and tool purpose across the organization. For most organizations, this does not exist before we build it.

Waste Analysis

A quantified review of duplication, underuse, renewal risk, and avoidable spend — broken down by category and prioritized by recovery opportunity.

Recovery Plan

A prioritized action list covering cancellations, renegotiations, consolidations, and control fixes — sequenced by savings, effort, and contract timing.

Governance Framework

Decision rights, approval rules, renewal checkpoints, ownership assignments, and oversight mechanisms built to prevent recurrence.

Executive Readout

A board- and leadership-ready summary of findings, risks, savings opportunities, and implementation priorities. Designed for CFO and C-suite presentation.

Optional Advisory Continuity

Ongoing support for vendor actions, savings validation, and governance rollout where needed — available as a separate monthly engagement.

Engagement Structure

Fixed fee.
No hourly overrun.
No open-ended commitment.

Our work is scoped, priced, and delivered against business value — not billable-hour drift. Organizations with meaningful AI spend and leadership-level accountability engage us when they need clarity, recovery, and enforceable controls.

Smaller organizations · focused reviews

Rapid Audit

$25,000

Fixed fee · 30-day engagement

Up to 10 core tools
AI portfolio scan
Spend and overlap review
Recovery opportunities identified
Governance gap snapshot
Executive readout

Request a Proposal →

Mid-market healthcare organizations

Full Audit

$75,000

Fixed fee · 90-day engagement

10 to 1,000 employees
Complete AI and software workflow analysis
Redundancy and ROI quantification
Vendor rationalization with savings prioritization
Governance and procurement controls framework
Executive roadmap and stakeholder session
Post-engagement advisory period

Request a Proposal →

Health systems · regulated entities · multi-site

Enterprise

$175,000+

Scoped engagement · 90–180 days

1,000+ employees
Enterprise-wide audit across departments and sites
Advanced spend, workflow, and vendor analysis
Board-ready reporting and presentation support
Controls architecture and governance design
Cross-functional remediation planning
C-suite and executive advisory
Implementation partnership available

Inquire →

Why fixed fee

We do not bill by the hour because the value is known before the work begins. A $75,000 engagement that surfaces significant recoverable waste and installs controls that reduce recurrence is not general consulting overhead. It is a capital decision with measurable return.

Ongoing advisory

For organizations that want hands-on execution support, ongoing advisory is available on a monthly basis to support vendor action, savings validation, procurement reform, and governance rollout.

Why Aitonoma

Most consultants understand strategy.
Most IT firms understand tools.
Very few understand both.

Aitonoma works at the intersection of healthcare operations, AI governance, vendor economics, and executive accountability. We do not approach this as a generic IT audit, and we do not approach it as abstract advisory. We connect procurement reality, operational usage, leadership visibility, and governance design into one engagement. That is where recoverable value is found.

Founder

PHOTO

"High-value AI contracts are often renewed without the data, controls, or internal visibility required to evaluate them properly. That is not a technology problem. It is a governance problem. Aitonoma exists to solve it."

Dr. Akua Agyeman

Founder · Physician · Healthcare AI Governance Advisor

Questions

On the engagement.

How is this different from a standard IT audit?

This is not a hardware review, security assessment, or general systems audit. We focus on one specific problem: AI tools that organizations pay for but cannot account for. We quantify waste, map governance failure, and produce a recovery plan. The output is a capital decision with a documented return — not a compliance report.

What do you need access to?

A vendor list, available spend and contract data, and structured interviews with three to five department leads. We do not require access to patient records, clinical systems, or EHR environments.

What if we cannot produce a complete tool inventory?

That is the standard condition. Phase 1 of every engagement exists precisely to surface what your procurement team does not have visibility into. Shadow spend and ungoverned contracts are the norm, not the exception.

What is Discovery, and when does it make sense?

Discovery is a one-to-two week scoping engagement. It produces a footprint snapshot, a preliminary waste hypothesis, and a formal audit scope memo. It is a standalone engagement designed to give both parties the clarity needed to define the right full-engagement path.

When do results materialize?

Immediate review candidates — unused licenses, redundant subscriptions — surface early in the engagement. The full recovery plan targets recovery of identifiable waste within 90 days of completion.

Do you support implementation?

Yes. Ongoing monthly advisory is available for organizations that need execution support after the audit — vendor consolidation, controls rollout, procurement reform, and savings verification. Available to completed audit clients only.

Why not have our internal team do this?

Internal teams usually lack the time, neutrality, or cross-functional mandate to surface what AI portfolios are actually costing. The person responsible for procurement is rarely the same person reviewing utilization. The person managing contracts is rarely the person who knows which tools have been abandoned. Aitonoma provides the outside view that produces honest numbers.

AI spend in healthcareis often under-governed.We find the waste.We install the controls.

Built for organizations with realAI spend and limited visibility.

AI adoption moved fasterthan governance.That gap is now expensive.