Diagnose the workflow before automating more of it.

Problems this engagement is built for

• Automations work in the happy path but fail around exceptions.
• A workflow has grown across too many tools and nobody owns the whole chain.
• An AI or automation idea is technically possible but commercially unproven.
• Duplicate actions, silent failures or weak observability create operational risk.
• The team is unsure whether to repair, replace or simplify an existing workflow.

What happens first

The first engagement maps the real workflow and identifies where automation helps, where human control is required, and which failure modes must be observable before expansion.

What the engagement can produce

• Workflow and dependency map.
• Business-outcome and exception analysis.
• Failure, duplicate-action and recovery review.
• Human-versus-automation boundary.
• Observability requirements.
• Prioritized implementation or repair plan.

When Sazvara fits

This is a fit when automation has become difficult to trust, difficult to extend or difficult to evaluate in business terms.

The scope and price are agreed before implementation begins.