Pillar 02 · AI Commit Layer
AI agents are already raising POs, approving invoices and granting headcount inside enterprise ERP. Clauvis is the synchronous enforcement layer that validates every one of those actions against live contract terms — before execution, not after reporting.
The gap
A procurement agent raises a £2.4M purchase order that violates the quarterly vendor cap. Nothing intercepts it. The breach surfaces weeks later in obligation tracking — long after the transaction cleared.
Contract lifecycle platforms manage contracts brilliantly upstream. AI governance platforms govern models. Neither intercepts a live enterprise transaction at the moment of execution. That interception point is the AI Commit Layer.
Contract value leakage
≈9%
of contract value, per IACCM research
For a £500M enterprise
£45M
eroded annually through unenforced terms
EU AI Act enforcement
€35M / 7%
of global turnover for missing controls
Decision path
User intent
Natural language into the agent
Tool call
CREATE_PO / APPROVE_INVOICE …
Clauvis proxy
Intercepts before the ERP commits
Decision
Approve · Block · Escalate
Execution
Only approved actions proceed
Action is compliant with every active obligation. The transaction proceeds untouched.
Clause violation detected. Execution halted with the exact clause, page reference, financial impact and confidence score cited in natural language.
Confidence below threshold. Routed to a named human reviewer with a 4-hour SLA and full context.
Deterministic, not probabilistic — rules are codified, versioned and human-reviewed
Product modules
Core enforcement engine
Digital contract twin
Immutable audit & compliance
CLM interoperability
EU AI Act
Compliance is a property of the architecture rather than a bolt-on module. Risk management (Art. 9), record-keeping (Art. 12), transparency (Art. 13), human oversight (Art. 14) and quality management (Art. 17) are each satisfied by a component that exists because enforcement requires it.
Art. 9
Risk management
Continuous rule-level risk scoring per action type
Art. 12
Record-keeping
Tamper-evident hash-chain of every decision
Art. 13
Transparency
Clause-level natural language citation on every block
Art. 14
Human oversight
Escalation routing with named reviewer and SLA
Art. 17
Quality management
Versioned rule review queue before rules go live
Next steps
Technical deep-dive on your live agents, an 8–12 week pilot with agreed success metrics, and partnership or investment conversations.