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

Opportunity intelligence

Track public/private project signals, owners, primes and bid timing.

Bid document organization

Extract scope, alternates, dates and requirements for estimator review.

Daily information consolidation

Convert field/office inputs into summaries and exception lists.

Equipment and production reporting

Prepare management views from operating data where source systems are reliable.

Where humans should remain authoritative

  • Survey/engineering authority
  • Safety decisions
  • Final quantities/pricing without review
  • Contractual acceptance

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.