Best starting point: choose one repetitive, information-heavy workflow with a measurable construction outcome and clear human ownership. Prove it before expanding authority.

Where AI is strongest

Lead and account research

Prioritize commercial properties, contractors, owners and replacement opportunities.

Estimate preparation support

Organize measurements, scope notes, exclusions and prior-job knowledge for estimator review.

Follow-up

Track proposals, insurance/customer questions and next actions.

Production communication

Prepare status updates and coordinate routine information while people control commitments.

Where humans should remain authoritative

  • Final pricing
  • Code/engineering judgment
  • Warranty commitments
  • Safety or fall-protection decisions

Recommended first implementation course

Map one workflow

Document the current input, handoffs, decisions, delays, errors and desired outcome.

Use AI as assistance first

Start with research, extraction, drafting or summarization before autonomous external action.

Measure the baseline

Track time, delay, rework, missed follow-up, throughput or another business metric before and after the pilot.

Add authority only after evidence

Expand automation after the workflow consistently meets acceptance criteria and the governance layer defines permissions, approvals, receipts and recovery.

How Catha approaches it

Catha separates the AI model from the business governance layer. The model can be changed as capabilities and economics evolve; the company’s authority rules should remain stable and traceable.