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

GC and project research

Identify likely buyers, active projects and relationship context.

Bid and proposal administration

Organize invitations, deadlines, scope notes and follow-up.

Project administration

Prepare logs, summaries and routine correspondence.

Relationship continuity

Maintain commitments and follow-up across many GCs without replacing the human relationship owner.

Where humans should remain authoritative

  • Final commercial commitments
  • Safety-critical decisions
  • Licensed design judgment
  • Unreviewed authoritative records

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.