Find what is worth building before you build anything.

The audit follows repeated work from trigger to outcome across the parts of the business worth examining: sales handling, leadership reporting, customer or employee onboarding, support, content operations, and internal requests. We document the current path before suggesting a new one.

That detail matters because most failures sit between tools and teams. A form creates work but not an owner. A spreadsheet becomes the real source of truth. A Slack alert fires, yet nobody owns the exception. The audit records those timing, data, and ownership gaps in plain language.

AI belongs where the input is messy and judgment has a repeatable shape. Reading an open-ended request, summarizing customer or account context, classifying an issue, or drafting a response can qualify. Permissions, pricing approval, policy, and destructive writes usually need deterministic rules or a human decision.

We use the same principle described in the NIST AI Risk Management Framework: map the use case, measure the risk, assign responsibility, and keep governance active after launch. The output names each automated decision and the person who owns it.

You receive a current-state workflow map, a ranked leak list, the data and integration risks, a baseline metric, and a build-ready pilot scope. The scope names the systems involved, the success event, failure paths, approval steps, logging requirements, and the evidence needed to decide whether to expand.

The audit also calls out work we would not automate yet. Sometimes the right first move is a clearer policy, one required field, a better-configured tool, or an owner the process has never had. If that solves the problem, we stop there. You can also start with the free Workflow Opportunity Score before booking the deeper review.

The best fit is a B2B SaaS founder, COO, or Ops or RevOps leader who can point to repeated work and name the consequence. Slow response, manual reporting, onboarding follow-up, invisible internal requests, duplicated records, and unclear ownership are strong starting points.

The audit is a poor fit when nobody can own the workflow, there is no accessible source of truth, or leadership only wants a broad AI roadmap. In those cases we recommend prerequisite process work first. When the opportunity is clear, the next step is usually the Custom Build.

The audit usually needs access to a process owner, recent examples, current rules or checklists, and read-only views of the systems involved. We do not need broad production access to understand the event order and identify the first measurable pilot.

A useful result leaves the internal team more capable even when Zyphh does not build the next step. The map, metric definition, risk list, and pilot scope can support an internal implementation, a platform configuration project, or a later vendor comparison.

The final review is a working session, not a presentation handoff. We walk the event path, challenge the assumptions, assign open decisions, and make sure the team can explain why the proposed pilot is first.