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Pack 07 · Contract Obligations Register

Convert contract clauses into owners, deadlines, evidence and actions.

Make contract obligations operational.

app.built-ai.io / packs / contract-obligations-register

Contract Obligations Register

  • Workflow
  • Templates
  • Evidence
  • Approvals
  • Audit log
07 · liveDrafting

Make contract obligations operational

  • Clause extraction workflowdrafting
  • Obligations registerdrafting
  • Notice deadlines trackerdrafting
  • Compliance evidence logdrafting
  • Escalation ladderdrafting

30-second walk-through

Watch Contract Obligations Register run on a real engagement.

Recorded inside the BuiltAI app against a redacted client dataset. Same QA gates, same evidence pattern, same approval rhythm you'll get on day one.

What gets installed

Productised workflow components

Each item below is delivered as a templated, governed workflow piece - not a bespoke build. Same QA gates apply regardless of which pack you start with.

Clause extraction workflow
Obligations register
Notice deadlines tracker
Compliance evidence log
Escalation ladder

What we need from you

To run a useful audit and deploy this pack

We don't need everything up-front - but the more of the below we can see early, the sharper the diagnostic and the faster the workflow lands.

  • Sample contracts (1–3) - fully executed (Amber-classified)
  • Current obligations / compliance tracker if any
  • Notice register (or evidence of how notices are tracked today)
  • Named contract owner + commercial sponsor
  • Access to relevant client correspondence for the last 6 months

The pattern

What this pack solves and how it lands

Problem

Teams often know the issue exists, but lack a repeatable workflow, ownership model and reporting structure to control it.

Commercial impact

Unclear ownership and inconsistent evidence create rework, delay, margin pressure and governance risk.

Success criteria

Clear owners, consistent templates, visible status, QA checks and a repeatable reporting rhythm.

Governance controls

Evidence index, assumptions register, QA gates, client approval and professional boundary wording where required.

Outcomes

What "done" tends to look like

Every figure below carries a disclosure label per BuiltAI's governance approach. Actual findings depend on contract value, data quality and commercial-process maturity.

Target outcome

100%

Of material clauses with named owners + deadlines

Target outcome

0

Notice failures missed once register is live

Typical

3wks

Indicative time from review to register live

Sits alongside

BuiltAI runs alongside the systems your team already uses - it does not replace them. This pack is built to fit:

  • Microsoft 365 (Word, SharePoint)
  • Google Workspace
  • Procore / Aconex
  • DocuSign / Adobe Sign

A BuiltAI output, in five seconds

What this pack actually returns.

Every BuiltAI output is scoped to a pack and traced to a source. That's what makes it a governed output, not just an LLM call.

Contract clause review

Newly-executed FM agreement, 187 pages. Need to extract reporting obligations, liquidated damages triggers, and any KPI-linked service credits.

BuiltAI output

32 obligations extracted and indexed. Reporting cadence: 14 monthly, 6 quarterly, 3 annual. LD trigger: PPM completion below 95% in any month - £4,200/percentage point, capped at 5% of monthly fee. Each row carries clause cite + page anchor + first-due-date. Calendar feed armed for service-credit windows.

Governed by: Contract Obligations Register v1 - clause extraction gates

Cited from: Executed FM agreement schedules 3-7 + KPI annexe

Illustrative output - editorial example, not live AI. Every BuiltAI deliverable carries the same governance + citation pair.
Every obligation now has a named owner, an evidence requirement and a notice trigger. We stopped finding clauses three months after they should have been raised.
Senior Commercial Manager, infrastructure frameworkIllustrative

Common questions

Buyer FAQs about Contract Obligations Register

  • How does AI extract clauses from contracts safely?

    Every AI-extracted clause carries a competent-reviewer sign-off before it's treated as live. AI assists extraction; humans confirm ownership, evidence pointer and notice trigger. No clause becomes 'live obligation' without the human gate.

  • What contracts is this designed for?

    JCT, NEC, FIDIC, PFI / PF2, public-sector frameworks and bespoke main / sub-contracts. We map your clause structure during the discovery call - the register adapts to whatever clauses live in your contract suite, not a fixed template.

  • How does the notice-trigger calendar work in practice?

    Each clause carries an evidence-requirement tag and a notice-trigger date or condition. The weekly review surfaces upcoming triggers; the quarterly review sweeps owners and evidence freshness. Missed-notice exposure becomes visible weekly rather than discovered late.

How it works

Where this pack sits in the engagement model

01

Step 1 - Discovery

Operational Intelligence Audit™ - fixed-scope, four-week engagement with QA2 sign-off.

02

Step 2 - Deploy

Controlled workflow deployment - AI-assisted, QA-gated, client-approved before issue.

03

Step 3 - Embed

Ongoing governance rhythm - monthly board reports, RAG reviews, continuous improvement.

Deployed in Step 2 - typically following an obligations review.

Long-form on this topic

Read deeper into contract obligations.

Frameworks and checklists from the audit playbook - same discipline that the Contract Obligations Register workflow installs.

Browse the contract obligations category

Engagement modes

Contract Obligations Register sits inside one of three engagement modes.

Indicative ranges - confirmed in the SOW after the discovery call. Full pricing breakdown.

  • Discovery audit

    From a four-figure fixed fee

    2 weeks · audit-only

  • Most common

    Pilot pack

    From low five figures

    6–10 weeks · Contract Obligations Register

  • Governance retainer

    From a four-figure monthly fee

    Rolling · 3-month minimum

Ready to scope this pack against your real data?

Book a readiness call. We'll confirm whether this pack, an audit, or a different starting point fits your operation.