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Case study · Construction & aviation

Auditable AI for contract compliance and overbilling recovery

Product strategy for AI that reads supplier contracts and matches payments to invoices, designed so AI extracts and fixed business rules decide.

4-steprepeatable AI rollout method
Client
Enterprise AI product venture
Sector
Construction & aviation
Service
Enterprise AI Embedding

The challenge

Large supplier contracts contain commitments, such as rates, caps, rebates and service levels, that are rarely checked against what is actually invoiced. Enterprises wanted AI to help, but they could not accept outcomes that depended on a model’s judgement and could not be audited.

Where AI sits in the decision

AI decides

  • Outcome depends on model judgement
  • Hard to explain to auditors
  • Inconsistent from run to run

AI reads, rules decide

  • AI extracts each contract once
  • Documented rules make decisions
  • Consistent, explainable, auditable

Our approach

  • Separated reading from deciding. AI reads each contract once and extracts the commitments. Fixed, transparent business rules then make the decisions, so results are consistent and auditable.
  • Defined a four-step client rollout: extract the commitments, agree where the tracking data lives, connect it, then flag breaches and advise on recovery.
  • Tested the approach against major construction and aviation contract standards.
  • Refocused the product on the highest-value outcome: recovering overbilling.
The four-step client rollout
  1. 01ExtractAI reads commitments from contracts
  2. 02AgreeWhere the tracking data lives
  3. 03ConnectLink contract terms to invoices
  4. 04Flag & adviseBreaches and recovery
  • System / automated
  • People decision
  • Control point

The outcome

  • An auditable AI pattern (“AI reads, rules decide”) now central to how we embed AI in finance
  • A repeatable four-step rollout method for enterprise clients
  • A clear, measurable value case built around recovered cash

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  1. PrioritiseFind the high-volume, document-heavy work where AI adds most value: contracts, invoices, receipts, controls and compliance.
  2. GuardrailAgree architecture, security, data protection and governance with IT, Risk and Legal.
  3. EmbedDeploy a forward-deployed pod into the business team to build, integrate and iterate on live data, with your people in the pod.
  4. IndustrialiseStand up the AI Centre of Excellence, operating model and skills to scale what works.

Keep reading

More results, measured.

100%of the division's payments approved and released in the ERP

Supplier payments brought end-to-end into the ERP

A once-weekly payment cycle run through spreadsheets, email chains and bank-portal approvals was redesigned around in-ERP workflow, automated reporting and direct bank transmission.

Global construction and consultancy group · Finance Process Automation40%+straight-through processing reached on the selected platform

From AP discovery to an automation platform, without a preferred product

Structured discovery of the invoice-to-pay process led to a seven-part improvement agenda, an options analysis and a weighted RFP that selected a specialist AP automation platform.

Global construction and consultancy group · Technology & Partner Selection£6Mrecovered to the P&L

£6M recovered from a goods-received-not-invoiced balance

In-depth analysis of a goods-received-not-invoiced balance traced it to process and system root causes. Fixing them returned around £6M to the P&L.

Global construction and consultancy group · Process Mapping & Lean Re-engineering

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