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AI workflow examples

How AI-assisted workflows could work in practice

These AI workflow examples are illustrative demonstrations that show our thinking and approach for construction and professional services teams. They are not client case studies.

Illustrative examples. Each example is built on sample documents to show how a workflow could operate. 

Illustrative

Contract review and obligation tracking

How an AI-assisted review of NEC4 and JCT contract documents could surface obligations, notice periods and amended clauses for the project team to validate.

Contracts

AI extraction

Review

Register

Reminders

More AI workflow examples

Project reporting

Knowledge retrieval

Drafting monthly project report commentary from programme, cost and risk data, ready for a project lead to review and edit.

Finding answers across project archives, standards and lessons learned, with a link back to the source document every time.

How we would measure a pilot

01

Baseline

Record how the workflow performs before anything changes.

02

Measures

Agree measures such as time per task, rework and items missed.

03

Review

Test with the people who do the work and capture their feedback.

04

Report

Report what changed, what improved and any limitations or areas of further refinement.

Each pilot is measured against an agreed baseline, so the results can be judged on evidence.

Start with a conversation

Tell us about a workflow that takes too long or carries too much risk. We will talk it through and suggest a sensible first step.

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