Fractional Chief AI Officer

Your company is deploying AI.
Who is accountable when it fails?

AI failures are not hypothetical. They are compliance violations, privacy breaches, and production systems that hallucinate in front of customers. Quintrec provides executive-level AI oversight — without the cost of a full-time hire.

$200K+
Annual savings vs. full-time CAIO
Senior AI executives command $300–500K base salary. Quintrec delivers strategic leadership at a fraction of the cost.
14
Days from submission to written report
Every engagement concludes with a documented, actionable written deliverable — not a verbal briefing.
2
Patentable AI systems in development
Our advisory is grounded in firsthand production AI development, not theoretical frameworks.
Why Companies Need a Fractional CAIO

AI is moving faster than
your governance can.

Most organisations are deploying AI with nobody accountable for the consequences. Developers build what they are asked. CTOs manage teams and infrastructure. Nobody owns the gap between AI capability and AI accountability. That gap is where companies get into trouble.

01
You are deploying AI with no one accountable for compliance

GDPR, PIPEDA, and the EU AI Act carry real penalties for AI misuse. Most companies have no designated owner for AI compliance. A fractional CAIO owns it — reviewing data handling, model governance, and regulatory alignment before they become enforcement actions.

02
Your AI looks good in demos and fails in production

LLMs hallucinate. Retrieval systems return wrong results. Computer vision models misclassify in real-world conditions. These failures happen in front of customers. Quintrec identifies production failure modes before deployment — not after the incident.

03
You are spending on AI with no measurable return

AI projects fail to reach production at an extraordinary rate — not because the technology does not work, but because the business case was never stress-tested and the success metrics were undefined. Quintrec models the return before you commit the capital.

04
Your developers have no one to escalate AI decisions to

Technical teams building AI regularly face decisions with significant business and legal implications — which data to use, how to handle model drift, when a system is reliable enough to deploy. Without senior AI leadership, those decisions default to whoever is available.

05
You cannot afford a full-time Chief AI Officer

A senior AI executive commands $300,000–$500,000 annually. For most organisations, that is not the right commitment at this stage. A fractional CAIO delivers the same strategic leadership and compliance oversight at a fraction of that cost — scaled to exactly what your business needs.

06
You are about to make an irreversible AI architecture decision

Choosing the wrong AI infrastructure, locking into a vendor with poor data portability, or building a system that cannot scale — these decisions are expensive to reverse. An independent CAIO review before a major commitment is the cheapest risk mitigation available.

Services

Three practice areas.
One mandate.

Every engagement begins with a diagnostic call. Every engagement concludes with a written deliverable. We do not deliver verbal briefings. Findings are documented, prioritised, and yours to retain.

Service I

AI Risk Audit

A systematic review of your existing or planned AI implementation. We examine privacy architecture, compliance posture, production failure modes, data handling practices, and model governance. Delivered as a written report with prioritised findings and remediation guidance.

Written report — delivered in 14 days
Service II

Fractional CAIO Retainer

Ongoing advisory engagement. Quintrec participates in architecture reviews, AI procurement decisions, vendor evaluation, and incident response. Structured as a monthly retainer from five hours per week. Works in parallel with your existing CTO or engineering leadership.

Monthly retainer — from 5 hrs/week
Service III

AI ROI Modelling

Structured financial analysis of a proposed AI investment. We model total cost of ownership, projected efficiency gains, risk-adjusted return scenarios, and build-vs-buy trade-offs. Delivered as a financial model and board-ready memo for capital allocation decisions.

Financial model + board memo
Who Engages Quintrec

The organisations that
need this most.

A fractional CAIO is the right fit for companies at a specific inflection point — deploying AI seriously, without the infrastructure or budget to manage it at a senior executive level.

Mid-market enterprises deploying AI for the first time
Revenue between $10M–$500M. Technically capable teams who have never navigated an AI deployment at scale. Need strategic oversight without restructuring the executive team.
Companies in regulated industries — healthcare, finance, legal
Sectors where AI errors carry legal and reputational consequences. PIPEDA, GDPR, HIPAA, and financial services regulation cannot be delegated to developers.
Venture-backed startups scaling AI products to enterprise clients
Enterprise procurement requires security reviews, compliance documentation, and demonstrable AI governance. Startups that cannot produce these lose deals to competitors that can.
Private equity portfolio companies undertaking AI transformation
Post-acquisition technology assessments. Identifying AI-driven efficiency gains. Mitigating technology risk across the portfolio. Consistent oversight across multiple holdings.
Organisations that have already had an AI failure or incident
A production model behaved unexpectedly. A privacy concern was raised. Quintrec conducts a post-incident review and establishes governance frameworks to prevent recurrence.
Leadership teams about to make a significant AI investment
Before committing to a major AI vendor, platform, or development initiative — an independent review of the proposal, the vendor, and the business case. The cheapest risk mitigation available.
Proprietary Technologies

Advisory grounded in
firsthand development.

Quintrec's practice is led by a founder who has built production AI systems, filed hardware patents, and navigated real-world compliance constraints. The following technologies are under active intellectual property development.

Patent Pending — Filed 2026

Autonomous Healthcare Reception System with Integrated Physical Kiosk

A combined hardware and software system for autonomous patient intake, appointment scheduling, insurance verification, and checkout in clinical environments. Integrates voice AI, practice management software APIs, and a physical patient-facing kiosk into a unified operational layer.


Voice AI with real-time appointment booking via natural language
Insurance verification through direct PMS integration at point of contact
Physical kiosk hardware — check-in, co-payment, and end-of-visit rebooking
23+ unique hardware claims covering concurrent implementation of all components
PIPEDA-compliant patient data architecture for Canadian healthcare
In Development — 2026

Privacy-Preserving Group Availability Coordination with AI Booking

A coordination infrastructure that determines mutual availability across groups without exposing individual calendar data to any party. Ingests free/busy signals only, computes overlap server-side, deletes source data immediately post-computation, and surfaces only the derived overlap window.


Free/busy OAuth scope only — no access to event titles, attendees, or content
Server-side overlap computation with immediate deletion of individual data
AI-driven experience booking triggered on confirmed availability overlap
Multi-platform: Google Calendar API and Apple CalDAV integration
Tiered privacy architecture across private, community, and public availability layers
Engagement Process

From first call to
written report.

Day 1
Submission

Complete the audit request form describing your AI implementation, deployment stage, and primary concern. All submissions are reviewed within two business days and treated as confidential.

Day 2–3
Diagnostic Call

A 45-minute intake covering your stack, deployment context, data flows, and regulatory exposure. This call defines the scope and depth of the engagement. No commitment to proceed is required.

Day 4–10
Assessment

Quintrec conducts the risk assessment, ROI model, or architecture review as scoped — examining documentation, codebases, integrations, data handling, and compliance posture.

Day 11–14
Report and Advisory

Delivery of the written report with prioritised findings and a walkthrough session with your technical and executive leadership. Retainer clients retain ongoing advisory access thereafter.

Pricing

Transparent pricing.
No surprises.

All engagements begin with a complimentary diagnostic call. Fees are confirmed in writing and agreed before any work commences. A mutual NDA is available prior to any technical disclosure.

One-time engagement
AI Risk Audit
$3,500
starting price — scope confirmed after diagnostic

  • Full privacy and compliance review
  • Production failure mode assessment
  • Data handling and model governance audit
  • Written report with prioritised findings
  • 60-minute results walkthrough session
Get Started
One-time engagement
AI ROI Modelling
$2,500
starting price — scope confirmed after diagnostic

  • Total cost of ownership modelling
  • Risk-adjusted return scenarios
  • Build-vs-buy analysis
  • Board-ready financial memo
  • Vendor comparison framework
Get Started
Frequently Asked Questions

What companies
typically ask us.

What does a fractional Chief AI Officer actually do?
A fractional CAIO provides executive-level AI oversight on a part-time basis. This includes reviewing AI architectures and compliance posture, advising on AI procurement and vendor selection, identifying production risks before deployment, and acting as the senior accountable party for AI governance — without the cost of a full-time executive hire.
How is this different from hiring an AI consultant or agency?
Consultants and agencies deliver projects. A fractional CAIO provides strategic leadership and ongoing accountability. The distinction matters: a consultant advises, invoices, and leaves. A fractional CAIO is embedded in your decision-making, attends your leadership meetings, and is accountable for outcomes — not just recommendations.
How many hours per week does a retainer engagement require?
Retainer engagements are available from five hours per week. The appropriate level of involvement depends on the complexity of your AI initiatives, your deployment stage, and your regulatory environment. Scope is confirmed after the diagnostic call and documented in writing before any engagement begins.
What industries does Quintrec specialise in?
Quintrec has specialist depth in healthcare AI — having built and filed patents on clinical AI systems — and applies this compliance-first methodology across financial services, legal technology, and enterprise SaaS. The risk identification approach is applicable across all sectors deploying AI in production or customer-facing environments.
Do you sign NDAs before technical discussions?
Yes. A mutual Non-Disclosure Agreement is available on request prior to any technical disclosure. All information shared during the assessment process is treated as strictly confidential. Confidentiality obligations survive the conclusion of any engagement.
What is the minimum commitment for a retainer engagement?
Retainer engagements carry a three-month minimum commitment. This allows sufficient time to complete an initial assessment, establish governance frameworks, and deliver measurable value. Month-to-month arrangements are available following the initial three-month period.
Schedule a Call

Start with a no-obligation diagnostic call.

The diagnostic call is complimentary and takes 45 minutes. You will leave with a clearer picture of your AI risk exposure regardless of whether a formal engagement follows.

No obligation to proceed
Engagement fees are quoted after the diagnostic call and agreed in writing before any work commences. You are under no obligation at any point prior to that.
Confidential from the first conversation
A mutual NDA is available before any technical disclosure. Everything discussed is treated as confidential whether or not a formal engagement follows.
Every engagement concludes with a written deliverable
Not a verbal briefing. A written report with documented findings, prioritised by severity, that remains your property in perpetuity.

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