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

Preconstruction research

Research owners, project pipelines, bid invitations, subcontractor coverage and historical context.

Project administration support

Summarize meetings, prepare logs, classify documents, draft routine communication and surface overdue actions.

Business development

Research targets, prepare account context, maintain follow-up and identify relationship signals.

Management intelligence

Combine information from scattered systems into decision-ready summaries and exception reports.

Where humans should remain authoritative

  • Final bid/pricing commitments
  • Safety-critical decisions
  • Contractual commitments
  • Authoritative project-record changes without approval

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.