Sample

What a finished audit looks like.

Redacted structure from a real delivery. Client identity, systems, and figures are replaced with placeholders — we do not publish a client's stack or their costs.

Section 1

Direct answers to the goals you named

Each workflow you asked about gets its own recommendation. Example shape:

Your stated goalRecommendationWhy
Handle more inbound callsDo it differently, not with an AI receptionistYour booking system already collects requests and requires human confirmation. Adding a second booking path creates conflicts. Automate the follow-up message instead.
Reduce time on patient repliesDo it — narrow and fencedTemplate drafting for non-sensitive messages is worth it. Anything identifying a customer stays out of a general AI workspace.
Get better at schedulingDo not do it yetScheduling is owned by an existing system with a live calendar. Until we know which one and who confirms, a new tool adds a second source of truth.

Note the shape: two of three are "yes, like this" rather than refusals. That was the main failure of an earlier version of this audit.

Section 2

Keep / cut / defer, with your numbers

SystemMonthlyOwnerRenewalDecision
General assistant (seat 1)$20OwnerMonthlyKEEP — narrow non-sensitive drafting lane
General assistant (seat 2, unowned)$20unknownunknownCUT — no owner, no defined weekly job
Meeting recorder$18unknownunknownCUT — not used on sensitive calls, unused for the stated workflow
Specialist documentation toolunknownDEFER — only if the ranked bottleneck is documentation

Where a field was left blank it stays "unknown". We do not fill in a plausible figure to make the table look complete.

Section 3

The ranked bottleneck, worked in depth

Options compared on fit, cost, effort, and risk, ending in a single recommendation and the tradeoff you are accepting. Not a list of possibilities.

Sections 4-5

Monday actions and a 30-day sequence

Every finding carries a specific next action with a named owner. The sequence covers weeks 1-4 and ends with a cancel rule so the stack does not drift back.

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Ratings are editorial product assessments, not lab benchmarks. How we score.