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

Account intelligence

Prepare company, project and relationship context for sales teams.

Quote preparation support

Organize requirements, alternatives and prior pricing inputs for human approval.

Customer communication

Prepare routine status and follow-up while humans handle exceptions and commitments.

Market intelligence

Identify geographic, project and customer signals from public and internal data.

Where humans should remain authoritative

  • Unapproved pricing
  • Credit decisions without policy control
  • Contractual commitments
  • Safety/technical claims beyond source evidence

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.