Find where AI can reduce admin, increase capacity and protect margin.

What it does

A four-week diagnostic with decision-ready outputs.

The audit reviews your workflows, documents, systems, reporting, data quality and operational pain points. It identifies where time, margin and control are being lost, then ranks AI opportunities against six explicit criteria.

• Commercial value
• Speed to benefit
• Data readiness
• Operational risk
• Implementation complexity
• Governance requirement

The aim is simple: find the right place to start, prove the use case and scale what works.

Controlled Demonstration Prototype

See one use case with your own data.

As part of the audit, Built AI can create a Controlled Demonstration Prototype using your own information. This is not a full software build or system integration. It is a practical demonstration of how one workflow could operate using your real tender, RAMS or reporting data.

• Track A — Tender Intelligence Prototype

  Input

  Real tender pack

  Output

  Requirement extraction, scope structuring, clarifications, assumptions and bid risk outputs.

• Track B — RAMS Automation Prototype

  Input

  Real job type

  Output

  Task-based RAMS structuring, hazard / control mapping and compliance output.

• Track C — Operational Margin Snapshot Prototype

  Input

  Exported contract / job / finance data

  Output

  Margin snapshots, leakage indicators and invoice readiness opportunities.

The prototype gives leadership a clearer view of what Phase 1 implementation could look like before committing to wider rollout.

Timeline

A focused four-week process.

1. Week 1

   Mobilisation and discovery

   Confirm stakeholders, data pack, prototype track and interview schedule.

2. Week 2

   Process and commercial analysis

   Review workflows, documentation, pain points, commercial processes and data quality.

3. Week 3

   Use-case prioritisation and prototype build

   Score opportunities, define priority use cases and build the controlled prototype.

4. Week 4

   Findings, roadmap and implementation plan

   Present findings, prototype, roadmap, governance framework and Phase 1 proposal.

KPI framework

The audit is designed around measurable outcomes.

The audit identifies current baseline and future improvement opportunities across five areas — giving leadership a clear way to measure whether implementation is working.

• Bid and Tender Efficiency

  Tender hours, time to first structured draft, bid throughput, scope rework and clarification quality.

• Compliance and Documentation

  RAMS production time, approval cycle time, rework frequency and evidence completeness.

• Commercial Control and Margin Protection

  Change events logged, notices issued, variation recovery trend, time to submission and margin variance.

• Operational and Cashflow Discipline

  Aged WIP, completed-not-invoiced work, invoice readiness time, blocker categories and reporting effort.

• SLA and Service Performance

  SLA compliance, deductions trend, first-time classification accuracy, repeat callout rate and evidence completeness.

Commercial model

Fixed scope. Clear outputs. Practical next steps.

The Operational Intelligence Audit™ is delivered as a fixed-scope engagement. Typical pricing depends on business size, complexity, data readiness and scope, but the audit is designed to be a clear gateway into practical implementation rather than an open-ended advisory exercise.

Where Phase 1 implementation is commissioned following the audit, part of the audit fee can be credited against the implementation programme. This creates a clear route from diagnostic to delivery.

Example outputs

View example audit outputs

See the kind of structured, decision-ready content the audit can produce.

• AI maturity scorecard
• Workflow opportunity map
• Tender capacity assessment
• RAMS workflow assessment
• Margin leakage analysis
• Prototype output
• Prioritised roadmap
• KPI framework
• Phase 1 implementation plan

Examples are redacted and provided to demonstrate structure, format and quality. Final audit outputs are tailored to each client's workflows, data, systems and commercial priorities. Built AI helps produce structured, detailed and review-ready outputs. Final review, validation, approval and reliance remain with the client's competent people.