This sample shows the kind of artifact and working first version an audit can produce. It uses a fictional client-prep workflow so the structure is visible without exposing private client material.
A small advisory team prepares recurring client review packets. Each packet uses intake notes, prior decisions, and service history. It also uses open issues and a meeting agenda.
A lead gathers notes and asks for missing context. Then the lead drafts the packet, waits for review, and sends a final version to the client owner.
Inputs arrive in different places. Prior decisions are hard to find. Reviewers spend time checking whether the packet used the right source material.
The team needs one source-backed prep packet that shows what was used, what is missing, and what needs human review.
Client intake form, current account notes, prior meeting recap, and open issue list. The workflow also uses the service agreement and approved agenda template.
Some action items have no owner. Some decisions are in email threads instead of the shared notes. The packet needs a visible missing-information section.
A review packet with context summary, open items, proposed agenda, and source list. It also needs missing facts and final reviewer notes.
AI can prepare the first packet draft from trusted source material. A person still owns the client commitment, final recommendations, and any claim that needs judgment.
Summarize source notes, group open items, and draft agenda options. Flag missing facts and prepare a source list.
Any recommendation, timeline, client promise, or risk call. Any price point or unsupported claim needs review too.
Save which sources were used and which facts were missing. Record who reviewed the packet and what changed before sending.
The first version is a source-backed prep workflow. It collects approved inputs and drafts the packet. Then it marks missing facts and waits for owner review before client use.
A shared source folder or database stores intake notes, prior decisions, service history, and open issues. Approved templates stay there too.
The workflow tells AI which sources to use and which packet sections to draft. It also names what to flag and which claims need review.
The owner sees source use, missing facts, changed sections, and the final approval decision before the packet moves forward.
The reviewer checks the packet against the source list and marks missing context before the packet moves forward.
Unsupported commitments, unclear ownership, stale notes, and sensitive details are held for human decision. Conflicts between sources are held too.
The packet is ready when the owner has checked the claims and resolved missing facts. The owner also accepts the final agenda.
Build a small prep workflow for one client-review packet. The first version should collect source links and produce a draft packet. It should flag missing facts and require owner review before use.
Run a short build scope using three recent packets, the approved agenda template, and one owner-review checklist.
Do not add client messaging, broad automation, or multi-client routing until the first packet workflow proves useful.
