AI Engineering Governance  ·  Fractional AI Officer

The AI Code Crisis
Is Already Inside
Your Enterprise.

Your developers are already shipping AI-generated code. Nobody is governing it. A specialist Fractional AI Officer embeds in your engineering org in 72 hours - and owns the risk from the first prompt to the last deployment.

"Most production vulnerabilities now trace back to AI-generated commits that were never reviewed by a human governance officer. We fix that on day one." - CTO, Series B Fintech — Clutch

We respond within 24 hours. One call. No commitment required.

72h
To embed. No recruiting. No ramp.
5
Governance layers across the full SDLC
Day 30
First risk report delivered
90d
Walk away if ROI isn't there
FAO Risk Monitor — Example
23 risks blocked today  ·  847 lines reviewed  ·  2 hallucinated packages caught
All 5 governance layers active
FAO Governance Dashboard — Example
L1 · Align
23 prompts scanned · 0 high-risk
CLEAR
L2 · Accelerate
847 lines AI-generated · 1 flagged
CLEAR
L3 · Protect
2 hallucinated packages blocked
BLOCKED
L4 · Comply
Policy enforced on all PRs
ACTIVE
L5 · Optimise
0 incidents · 100% attribution
ACTIVE
★ 4.9 on Clutch · ISO 27001 Certified · CMMI Level 3 · Top AI Company 2026
The Real Problem

AI Is Shipping Inside Your Org.
Nobody Is Governing It.

Your developers are already vibe coding. The question isn't if - it's how much, and at what risk. Budget disappears, vulnerabilities ship, and the audit trail simply doesn't exist.

$3.2B
In annual enterprise AI spend — zero team-level visibility or attribution
45%
Of AI-generated code contains active security vulnerabilities
63%
Of developers spend more time debugging AI output than writing code
10×
Increase in security findings in codebases after AI coding tools are adopted

Budget Burn

You see the total AI API bill. You have zero visibility into which team, developer, or prompt pattern is burning 80% of it. Agentic loops can drain tens of thousands overnight - no alert, no breakpoint, no shutdown.

"We know the total. We have no idea where it goes."

Security Exposure

Your scanners miss what AI ships. SAST and SCA tools were built for human-authored code. Hallucinated packages, injection patterns, and hardcoded credentials reach production undetected.

"45% of AI code has vulnerabilities. Our tools weren't built to catch them."

Compliance Blindspot

When auditors ask, you have nothing. No audit trail for AI-generated code, no record of which tool produced which output. EU AI Act 2026, HIPAA, SOX - none will accept "we used Copilot" as a compliance position.

"The board asks who owns AI risk. The room goes quiet."

Sources: Gartner AI Spending Report 2025 · Veracode GenAI Code Security Report 2025 · CodeRabbit 8.1M PR Study.

The Burning Platform

These Are Not Hypotheticals.

AI-generated code reached production in every case below. Security teams missed them. Customers found them.

Incident 01 · Security
Moltbook  ·  1.5M API Keys Exposed

A vibe-coded SaaS platform leaked 1.5 million customer API keys to the public internet. Root cause: AI-generated credential handling with no governance review. No security gate triggered before production.

Source: Cloud Security Alliance
Incident 02 · Auth Failure · CVE-2025-48757
Lovable.dev  ·  Auth Bypass Shipped Silently

AI inverted authentication logic - authenticated users blocked, anonymous visitors granted full data access. Official CVE assigned (CVE-2025-48757). The bug replicated across production before a customer reported it.

Source: CVE-2025-48757 · Autonoma AI Research
Incident 03 · Enterprise Sev-1
Fortune 10 Retailer  ·  4 Sev-1s in 90 Days

Vibe-coding adoption caused four Sev-1 production failures in 90 days, including a six-hour outage. Root cause: teams had no mental model of AI-generated systems, no observability, and could not hotfix code they had not authored.

Source: Stack Overflow Blog · Developer Survey 2025
The Risk You're Carrying Right Now

What You're Losing
by Not Governing AI.

Every month without a governance owner is a month of compounding exposure. Here's what the data says it costs.

Without Governance — Annual Exposure
$4.7M
Average breach cost when AI code is in the attack path
IBM Cost of a Data Breach Report, 2024
$1.2M
Average cost to remediate a failed compliance audit
Ponemon Institute, 2024
$600K
Productivity lost per year to ungoverned AI code debt
Based on CodeRabbit 8.1M PR study + industry benchmarks
~$6.5M
Estimated annual exposure from unmanaged AI engineering risk
With Your FAO
$1,999+/mo
from $23,988 / year
$6.5M exposure÷$23,988/yr FAO
= 100x return on one breach prevented

You're not paying for governance. You're paying to prevent the breach that pays for itself 100 times over.

Book a Governance Review →

One call. No commitment required.

The Gap

Nobody in Your Org Owns
AI Engineering Governance.

Every leader is doing their job. The intersection where AI risk actually lives has no owner.

Today - No Single Owner

×CTO - building product, not governing AI risk or prompt safety.
×CISO - scanning the perimeter, missing AI-generated vulnerability patterns entirely.
×CFO - budgeting tools, with zero visibility into per-team token burn.
×Compliance - filing reports, with no AI audit trail to show regulators.
×Engineering - using AI daily, with no approved patterns, no harness, no guardrails.
×The Board - asks who's accountable for AI risk. The room goes quiet.

With Your Fractional AI Officer

One accountable leader embedded in your org - owns every AI risk, end to end.
Prompt governance from day one - no unvalidated AI inputs reach production.
Security gates on every AI-generated commit before it reaches main.
Token budgets enforced per team - your CFO finally sees the AI spend breakdown.
Full AI audit trail - board-ready, regulator-ready, updated continuously.
When the board asks who owns AI risk - you have a name, a dashboard, and a report.
The Solution

Introducing the Fractional AI Officer.

An AI governance specialist embedded in your engineering organisation - accountable for outcomes, not deliverables. Not a generalist consultant. Not a junior hire. Someone who has built this before.

Who They Are

Engineering-native. Governance-specialist. Skilled across prompt engineering, code security, regulatory compliance, and AI cost management.

How They Engage

Embedded and accountable. Attends standups, reviews PRs, authors policies. Done For You - we run all governance. Or Done With You - we build your team's capability. Outcomes owned either way.

When They Start

72 hours. No recruitment cycle. No ramp period. Connect your repository and your FAO is embedded and governing - no infrastructure change, no vendor lock-in, results in week one.

Your FAO sits at the intersection of  ·  CTO  ·  CISO  ·  CFO  ·  Engineering Leadership
The Framework

Every Phase. Every Risk.
One Governance Layer.

Upcore AI Engineering Governance - 19 integrated capabilities across 5 layers, covering every phase of your AI development lifecycle.

Spec & Goals Engine. Requirement validation vs. what AI actually builds.
Context Engineering. CLAUDE.md, AGENT.md, project rules - what the AI knows about your codebase.
Agent Memory Design. Memory patterns, context-window strategy, session continuity.
Optimal Model Selection. Right model per task. Cost-vs-capability matrix. Avoid overkill.
Prompt Engineering. Prompt quality scoring, pattern library, anti-pattern alerts.
Harnessing Engine. Directing raw AI output through structure, constraints & quality gates.
Workflow Orchestration. Multi-agent chains, human checkpoints, iterative refinement.
Code Review Automation. Logic inversion, hallucinated API, auth-bypass detection on every PR.
AI-Aware Security Scanner. SAST/DAST rebuilt for AI patterns - XSS, credential sprawl, SQL injection per commit.
Supply Chain Guardian. Package-hallucination detection. Slopsquatting defense. SBOM generation.
IaC Governance. Terraform/K8s/CloudFormation scanning. Flags insecure defaults before apply.
Red Teaming Layer. Continuous adversarial testing of AI-generated code for attack vectors.
Compliance Framework Mapping. SOC 2, HIPAA, GDPR, PCI-DSS, EU AI Act — your FAO identifies what applies and builds the audit trail at code review time.
Versioning & Audit Trail. Prompt-to-deploy traceability. Every AI decision logged for regulators and board.
CI/CD Quality Gates. Zero-new-issues policy. AI-aware SAST enforced at pipeline. No bypass.
Token Intelligence. Per-developer spend, burn-rate alerts, prompt-efficiency scoring, budget forecasting.
Risk & Observability. CTO/CISO live dashboard. AI code % by team. Tech-debt exposure in $.
Evaluation & Metrics. AI-vs-human PR quality delta, bug rate by code origin, cycle time.
Production Monitor. Prompt-to-incident linkage. AI runtime tagging. Incident runbooks.
AI Spend by Team — Q3 Budget Attribution
Frontend
$12.4k 43% ↓ -8%
Backend API
$8.1k 28% → flat
Data Pipeline
$5.6k 19% ↑ +3%
Mobile
$2.9k 10% ↓ -2%
Forge · SDLC Agent

Forge works alongside governance - it ships AI-assisted software while your FAO ensures every commit is reviewed, governed, and attributed. Deploy together or start with governance alone.

Explore Forge →
FAQ

Questions Leaders Ask.

An AI governance specialist embedded directly in your engineering organisation, accountable for the risk created by AI-generated code. Unlike a generalist consultant, a Fractional AI Officer is a specialist across prompt engineering, code security, regulatory compliance, and AI cost management. They attend standups, review PRs, author policies, and own outcomes - Done-For-You or Done-With-You - without the cost or timeline of a full-time hire.

72 hours. No recruitment cycle, no ramp period. Connect your repository and your FAO is embedded and governing within three days. No sprint allocated, no infrastructure change, no vendor lock-in. Results in week one.

For startups and growth-stage companies, governance is active within 72 hours of the first call. For regulated enterprise — public companies, healthcare systems, financial institutions — internal procurement, legal review, and MSA/DPA execution typically add 4–8 weeks before contract execution. Your governance is active within 72 hours of signing. We walk you through what to prepare during discovery.

By Day 30 your FAO delivers your first AI risk report - your actual AI risk, quantified and mapped. By Day 60 all integrations are live (IDE, Git, CI/CD, production monitoring) in observe mode with a baseline established. By Day 90 policy gates are live, AI code is risk-scored and reviewed on every commit, and you receive a full ROI model. If the Day 30 findings do not justify continuing, you walk away.

A full-time hire costs $250K+ per year plus 6 months to recruit and 12 months to ramp. A Big-4 engagement costs $500K+ per project, delivers a report, and then leaves with no ongoing accountability. A Fractional AI Officer embeds in 72 hours, specialises in AI engineering governance, stays embedded in your context, and owns outcomes - not just deliverables.

Done-For-You: you provide repository access, CI/CD, your AI tool list, and compliance obligations, and your FAO handles everything else - independent audit, governance architecture, installation, baseline data, and weekly reports. Done-With-You: your team leads while your FAO guides, trains, and strategises - joint discovery, co-designed policy, guided implementation, and full knowledge transfer so your team owns it long term.

Forge is how you build software with AI. AI Engineering Governance is how you govern the AI-generated code that Forge - and any AI coding tool your team uses - produces. They're complementary: Forge ships features, your Fractional AI Officer makes sure everything shipped is secure, compliant, and cost-controlled.

The Business Case

The Role Your Org Is Missing -
Without the Cost or the Timeline.

A specialist Fractional AI Officer owns your AI engineering governance - strategy to compliance - without the cost or timeline of a full-time hire or a Big-4 engagement.

Fractional. Not Expensive.
Full-Time AI Governance Leader $20,000+/mo
Part-Time / Contractor $10,000+/mo

Same accountability. Same expertise. 80–90% less spend.

Full-Time Hire
$250K+
Time to Value
6 months to recruit · 12 months to ramp
Accountability
One org, one context only
Longevity
Benefits, equity & onboarding overhead
AI Certification
Rare on the market · hard to vet
Big-4 Consulting
$500K+
Time to Value
Report delivered, then they leave
Accountability
Resets with every engagement
Longevity
Governance dies when the contract ends
AI Certification
Generalist advisory, not engineering-native

Most teams find FAO engagement costs 80–90% less than the equivalent full-time role, with results visible at Day 30 - not month 12.

Your FAO owns: AI Policy & Standards · Code Governance · Security Enforcement · Compliance Reporting · Spend Control.

CLIENT OUTCOMES

What Governance Looks Like in Practice

Three anonymized scenarios from current engagements. Client identities withheld at their request.

Series B Fintech, US SOX + AI Code Risk

“Copilot-generated code had been shipping to production for six months with no review process. SOX audit was eight weeks away.”

Day 30
  • 47 AI-generated commits reviewed and remediated
  • 3 hallucinated npm packages removed before production
  • SOX gap documentation started — two weeks ahead of audit
Day 90
  • Zero AI-attributed findings in SOX audit
  • CI/CD governance gates active across all repos
  • FAO engagement extended to ongoing monthly
Enterprise SaaS, UK EU AI Act Readiness

“EU AI Act enforcement started. We had four AI-powered features and zero documentation of what they did or what data they touched.”

Day 30
  • 12 AI features inventoried and risk-classified
  • 2 flagged as high-risk under Article 6 — conformity assessment initiated
  • Technical documentation framework drafted
Day 90
  • EU AI Act technical documentation complete
  • Article 9 risk management system live
  • Legal sign-off received — no enforcement exposure
Healthtech Platform, US HIPAA + AI

“Our LLM was processing patient-adjacent data across three workflows. No BAA with the model provider. The HIPAA officer had flagged it six weeks earlier — nothing had moved.”

Day 30
  • 3 workflows classified for PHI exposure
  • BAA executed with LLM provider
  • PHI boundary documentation reviewed by Privacy Officer
Day 90
  • HITRUST gap assessment complete
  • AI policy addendum authored for HIPAA compliance package
  • Zero PHI findings in follow-up audit

All scenarios are anonymized composites based on real engagement patterns. Client identities withheld.

Engagement Model

Two Ways to Engage.
Your FAO Leads From Day One.

Same six stages. Choose how hands-on your team is - your Fractional AI Officer is accountable in both.

Who
A person. Not software.
A senior AI governance specialist embedded in your engineering team — attends standups, reviews PRs, authors policies, owns outcomes.
Background
AI Engineering & Compliance
8+ years in software engineering with deep AI/ML and compliance expertise. Certified in prompt engineering, code security, and regulatory AI frameworks.
Time commitment
8–12 hrs / week, dedicated
Enough to attend your sprint cycles, review AI-generated PRs, and produce weekly governance reports. Not a consultant who disappears between calls.
Selection
Named before you sign
You meet your FAO in the discovery call — before any commitment. If the match isn't right, we find a better fit. No surprise assignments.
Done With You

Your Team Leads

Your FAO guides, trains & strategizes while your team builds internal capability.

Define scope, stakeholders & success metrics together.
Joint discovery - audit AI usage and map your risk surface as a team.
Co-design governance rules for your compliance context.
Guided implementation - your team builds, your FAO guides every step.
Calibrate together in observe mode; remove false positives.
Enforce & advise - gates live, your team owns it, FAO as strategic advisor.
The 90-Day Journey

A Proof of Concept Your Board,
Auditor, and CTO Can Stand Behind.

Six stages. Two models. One FAO. AI development you can defend to anyone who asks.

30 DAYS

Align & Discover

Stakeholders aligned, AI tools audited, risk surface mapped across your org.
Compliance obligations identified - policy requirements defined for your context.
First AI risk report delivered - your actual AI risk, quantified and mapped.
60 DAYS

Implement & Calibrate

All integrations live - IDE, Git, CI/CD, and production monitoring connected.
Governance in observe mode - baseline established, policies tuned, no blocking yet.
First real catches - hallucinated packages blocked, high-risk commits flagged.
90 DAYS

Enforce & Operate

Policy gates live - AI code risk-scored and reviewed on every PR, every commit.
Incidents attributed - prompt-to-incident linkage in production.
Full ROI model - incidents avoided, compliance posture, time saved. You have the data.

After Day 90, your FAO continues embedded on a monthly basis - shifting from implementation to oversight. New AI tool approvals, quarterly compliance reports, incident attribution, and board-ready AI governance summaries. Most teams renew. You decide with data in hand.

Book a Governance Review →

We respond within 24 hours. No commitment required.

The Ask

The Window to Govern AI Code
Is Closing Fast.

90-day engagement with a Day-30 walk-away checkpoint. Your dedicated Fractional AI Officer embeds, audits your full AI risk surface, and delivers a governance blueprint with a board-ready ROI model. At Day 30 you get your first AI risk report — if it doesn't justify continuing, you walk away. If it does, the engagement continues month-to-month, no lock-in.

We respond within 24 hours. One call. No commitment required.

One person. Four hours of onboarding. No infrastructure changes. No lock-in during the pilot.