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

Service intake and triage support

Classify requests, prepare context and route work while humans control emergency/safety decisions.

Project administration

Summaries, logs, document retrieval and routine coordination.

Estimating support

Organize scope and historical inputs for estimator review.

Customer follow-up

Track proposals, approvals and unresolved questions.

Where humans should remain authoritative

  • Final pricing
  • Code authority
  • Health/safety determinations
  • Binding change orders

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.