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 history retrieval

Assemble equipment, customer and prior-work context before dispatch or review.

Maintenance program follow-up

Identify renewals, overdue actions and customer communication needs.

Proposal preparation support

Organize scope, alternates and customer history.

Project coordination

Summaries, action tracking and document retrieval.

Where humans should remain authoritative

  • Equipment-selection engineering
  • Life-safety decisions
  • Final pricing
  • Warranty or contractual commitments

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.