AI-assisted project controls
AI for the checking. People for the judgement.
Automated schedule quality checks, float erosion alerts and narrative drafting, with a named controls lead accountable for every output.
In plain words
AI-assisted project controls uses automation and language models to do repeatable controls work faster: running schedule quality checks on every update, flagging float erosion and logic changes between periods, and drafting period narratives from the data. A qualified controls professional reviews and signs off every output before it reaches a client.
The problem
Controls teams spend days each period on checks and first drafts that follow the same pattern every month. That time comes out of analysis, which is the part owners actually pay for.
What we do
Scope we take on.
- Automated DCMA-style schedule quality checks on every update
- Period-to-period comparison: logic changes, float erosion, slipped milestones
- Draft period narratives from schedule and cost data
- Report automation into Power BI and client templates
- Human review and sign-off by a named controls lead
Client data is handled under the client's security and AI-use policies. Nothing is sent to an external model without written approval.
Related case studies
Case studies are being cleared with clients for publication. Ask for a confidential briefing on similar work.
FAQ
Questions buyers ask
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