Discover.
A focused two-week discovery. We sit with your operations, technology, finance, and risk leads. We read the existing policies, the open audit findings, and the last four board packs. We leave with the inputs, not the answers.
LiveAI Governance · SaaS
Govscape
An AI governance platform for regulated enterprises — built around one idea: AI governance requires data governance, and weak data governance creates measurable financial exposure.
Govscape — AI-QEF console, 2026Product · governance & financial exposure
Challenge01
Enterprises are adopting AI faster than they can govern it — and treating governance as a compliance checkbox rather than a financial exposure problem.
Mid-to-large organisations are deploying AI tools without the data foundations to back them up. Compliance teams assess AI governance in isolation from data quality, system fragmentation, and operational risk — so the link between weak governance and real revenue leakage stays invisible until it surfaces as a fine, an audit finding, or a failed rollout. The tools they have produce static reports. None of them tell the board what poor governance is actually costing the business.
Solution02
A consultant-led governance platform that quantifies the financial exposure of AI and data governance gaps in pounds, not RAG ratings.
Six structured assessment modules — strategic AI positioning, data governance, AI risk & compliance, data quality, operational efficiency, and ongoing monitoring — feed an AI Governance Cost Engine that translates every gap into a defensible financial range. Discovery, remediation, and managed governance all run from one platform, with AI-generated executive narrative on top of every score.
Stack03
Frontend
- Next.js
- React
- Tailwind
Backend
- Supabase
- Edge Functions
Database
- Postgres
- Row-level security
AI Layer
- Claude Sonnet 4
- OpenAI
Infrastructure
- Vercel
- Supabase Cloud
Process04
01Strategic positioning
Locked the core thesis — AI governance requires data governance — and built every module around the link between governance maturity and financial outcomes.
02Six-module framework
Designed structured assessments across AI strategy, data governance, AI risk, data quality, operational efficiency, and ongoing monitoring. Each module produces concrete scores, heatmaps, and remediation effort estimates rather than narrative.
03AI Governance Cost Engine
Built the four-pillar financial exposure model — operational inefficiency, technology waste, revenue leakage, risk exposure — with every coefficient living in a configurable benchmarks table. Tweaking a number is a 30-second admin task, not a release.
04AI insight layer
Wired Claude Sonnet 4 and OpenAI to generate executive-language insights, prioritised actions, and narrative summaries — every figure ships with explainable drill-down on inputs, benchmarks, and assumptions.
05Three-phase commercial model
Productised the journey from Discovery to Remediation to Managed Governance — so a consulting engagement converts naturally into recurring subscription revenue, without a separate sales motion.
Result05
Govscape now translates AI and data governance gaps into board-ready financial exposure for regulated mid-market and enterprise buyers.
The product replaces qualitative RAG ratings with defensible financial ranges, executive narrative, and explainable drill-downs on every number. Discovery engagements are running, remediation programmes are in motion, and managed governance subscriptions create the recurring revenue base the strategy depends on.
6
Assessment modules
4
Cost engine pillars
$7bn
Addressable market
Live
Production status
Commercials06
Quantify.
Two weeks of modelling. Every line is calculated from a published method. Every figure carries a sourced range and a stated confidence. The output is a working paper your board can read on a Sunday night.
Remediate.
Optional. Where you want help closing the gaps the assessment surfaced, we scope a fixed-price remediation against the working paper. We do not sell the assessment to sell the remediation. The first stands on its own.
Govscape runs a three-phase commercial model. A discovery engagement quantifies financial exposure, a remediation programme closes the gaps, and a managed governance subscription monitors them continuously. Consulting margins on the way in, recurring software revenue on the way out — and a deliberate transition from services to platform that improves both scalability and valuation.
Commercial breakdown
- Model
- Three-phase: Discovery → Remediation → Managed
- Status
- Live
- Revenue
- £15K–£35K discovery · £20K–£100K remediation · £1K–£5K/mo managed
- Ownership
- Founder · partnered with IDS
Every governance tool we looked at produced a report. Govscape produced a number — and that's what got the board moving.
Risk Director · Mid-market enterprise customer