Receipt and month-end cleanup
Bookkeeping workflow audit for receipts, categorization, and month-end cleanup
Make receipts, statements, client emails, transaction questions, document naming, and month-end follow-up easier to track before cleanup becomes deadline panic.
From CAD 6,500 · fixed before we start · 10 business days · 6 deliverables
How the sprint works →Built by Duncan Anderson, an AI engineer and data scientist who builds practical automation around real operating workflows.
What usually breaks
Where bookkeepers and small accounting teams lose time or revenue
The first audit is deliberately narrow. We identify the repeatable workflow, the owner, the inputs, the status points, and the places where a small automation would actually survive daily use.
- Client documents arrive by email, shared folders, portals, photos, and accounting apps.
- Missing receipt and transaction-context questions are recreated manually each month.
- Staff lose time figuring out what has already been requested.
- Clients receive vague follow-ups instead of concise missing-item lists.
Readiness Sprint
A fixed first step before any larger automation build
Before anyone builds, we map one costly workflow end to end, decide what AI should draft and what people must approve, and write the pilot brief. You keep every document whether or not we build together.
- From CAD 6,500, fixed before we start
- 10 business days
- 50% to start, 50% at readout
- English or French
Six things you keep
Workflow map
Current state end to end: steps, handoffs, systems, volumes and where time goes.
Intake and status schema
The fields and states a system would read and write, agreed with the people who do the work.
Exception taxonomy and decision rights
What goes wrong, how often, and who is allowed to decide each case.
Review-first prototype spec
Exactly what AI drafts, what a person approves, and what is never automated.
Pilot and measurement brief
Scope, baseline, success metric, stop conditions and a fixed-fee build quote.
Executive readout
Findings and a clear build / don't-build recommendation, with one round of revisions.
Offer path
Document Intake and Review Workflow
An intake queue with missing-info checks, summaries, classifications, status, and a human approval step before records change.
First build could be
A small workflow your team can review
Missing document tracker that produces clean client follow-up emails.
Not this
Clear scope boundary
This does not replace bookkeeping judgment; it prepares documents, status, and questions for review.
Workflow map
The audit follows the real work, not a generic AI checklist
This is designed around admin cleanup around bookkeeping, not replacing bookkeeping judgment.
Client intake, document channels, file naming, receipt/statement status, and transaction-question queue.
Rules for what AI can classify, what needs bookkeeper review, and what must be sent back to the client.
Month-end close status by client: received, missing, reviewed, questions sent, answered, ready to close.
Follow-up cadence and reusable client-specific question templates.
Automation candidates
Likely first builds
The right first build is usually small, specific, and close to revenue or deadline pressure.
Missing document tracker that produces clean client follow-up emails.
Receipt/document renaming and routing by client, period, vendor, and account.
Transaction-question drafts grouped by client instead of one-off email threads.
Month-end status dashboard for clients at risk of late close.
Audit output
What you get back
The goal is a decision-ready plan: what to automate first, what to keep manual, and what data or tool connection is needed.
- A client document and month-end cleanup workflow map.
- A missing-info taxonomy for receipts, statements, uncategorized expenses, and transaction questions.
- An automation plan for document routing, status tracking, and client follow-up.
- A first workflow prototype recommendation that keeps human review where it belongs.
Request a fit review
Send the workflow that is costing time, deals, or deadline confidence
Specifics help. Include the tools involved, how the work arrives, who owns it, where status gets lost, and what would count as a useful win.
What happens next
I review every workflow personally and usually reply within two business days. If there is a fit, the next paid step is the AI Readiness Sprint.
From CAD 6,500 · fixed before we start · 10 business days · 6 deliverables
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