Govern AI usage, cost, value, and execution from one control layer.
A control-plane architecture for regulated enterprises moving from AI pilots to measurable, governed, and optimizable AI execution.
Verify in 5 minutes: Run sourcea-boot eval → BOOT_REPORT.json on disk · Public GitHub repo
Problem
AI governance needs to become operational, not decorative.
Regulated enterprises cannot rely on static policy documents while AI systems, agents, and internal platforms begin executing work. Governance must be embedded into telemetry, workflows, approval paths, and controls.
Policy is not enough
A policy document does not show which model acted, what it cost, which workflow used it, or what value it produced.
Controls must execute
The next enterprise layer is a policy-aware control plane that governs AI usage before and during execution.
Value must be evidenced
AI programs need cost-to-value evidence, not only adoption stories or vendor dashboards.
Architecture
Enterprise AI Control Plane
A UK-scoped control-plane engagement — telemetry binding, pre-execution policy enforcement, and audit evidence for institutional AI portfolios. Not a duplicated cost-sprint template.
Regulatory
UK regulatory hooks
Designed for institutional teams operating under UK privacy, financial conduct, and emerging AI governance expectations — without implying FCA authorization or certification.
Privacy & accountability
UK GDPR / ICO — lawful basis, DPIA triggers, and automated decision transparency for AI systems.
Accountability principle — demonstrable controls, not policy documents alone.
Financial services & cross-border
FCA / PRA — model risk, third-party AI, and operational resilience for AI-driven workflows.
EU AI Act (UK ops) — high-risk system logging, human oversight, and monitoring patterns for cross-border entities.
Components
Control-plane components
Built to support institutional teams that need traceability, accountability, optimization, and governance integrity.
Telemetry Layer
Usage events from models, agents, tools, prompts, workflows, and platform interactions.
Attribution Layer
Cost and activity mapped to business units, workflows, use cases, and outcomes.
Policy Layer
Rules for approval, restricted use, escalation, optimization, and exception handling.
Evidence Layer
Receipts, decision records, value evidence, audit-ready traces, and operating reports.
Optimization Layer
Leakage detection, inefficient routing, retry analysis, context growth, and model-choice recommendations.
Leadership Layer
Dashboard views for technology, data, risk, finance, operations, and executive committees.
Evidence
Proof on disk
UK control-plane SKU uses distinct regulatory language and a six-layer component model — not the Canada cost-sprint skeleton.
| Telemetry | Model · agent · workflow events bound to accountable owners |
|---|---|
| Policy gate | Pre-execution approval · restricted use · escalation routing |
| Receipts | SMCR-aligned accountability records · audit-ready traces |
| Optimization | Leakage detection · retry analysis · model-route recommendations |
| Canonical route | sourcea.uk/enterprise-ai-control-plane · contract@sourcea.uk |
Illustrative — institution-specific topology produced during Discovery Brief.
Procurement pack — ISO 42001 mapping, data handling, reference pilot structure (educational maps · not certification).
Preview
Read-only control-plane preview
Illustrative dashboard layout with sample metrics only — not client data. Live telemetry wired during Control-Plane Sprint.
Engagement
Engagement path
Start small: one workflow family, one AI portfolio, one spend surface, or one governance gap.
Discovery Brief
Private review of the AI value-governance problem and target workflows.
Control-Plane Sprint
Architecture and prototype spec for telemetry, attribution, controls, and reporting.
Internal Enablement
Support internal teams with product requirements, operating model, and governance-control design.
Request a private control-plane briefing
For institutional teams evaluating AI spend visibility, value governance, policy-as-code controls, or enterprise AI execution infrastructure.
Suggested path: sourcea.uk/enterprise-ai-control-plane. This page describes an independent capability offer. It does not imply endorsement by, partnership with, or client status with any named financial institution unless separately stated in a signed agreement.
Institutional buyers: briefing CTA above and below — primary action is always visible.
Book an Enterprise AI Control Plane Briefing