Industry: Accounting and bookkeeping practices
AI for accounting, bookkeeping, and CPA practices.
We work with solo CPAs, small accounting practices, and bookkeepers across the Portland metro area and Southwest Washington. The work is concrete: setting up AI tools that respect client financial confidentiality, automating the routine parts of client intake and document workflows, and freeing up partner time on recurring deliverables.
We are not accountants and we don't give tax advice. We're the people who configure the tools, document what's allowed in writing, and stay on call as the underlying AI capabilities change. We take no commissions from any AI vendor or accounting software vendor, so what we recommend is based on what fits your firm, not on what pays us.
Where the hours go.
These are the recurring time sinks we hear about most from accounting and bookkeeping practices in our service area.
- Client intake and engagement letter drafting eats partner and senior time.
- Year-end and quarterly deliverables involve heavy data assembly before the analysis can start.
- Document collection from clients is slow, manual, and prone to back-and-forth.
- Recurring client communications (status updates, missing-info nudges) get skipped when capacity is tight.
- Marketing and content sit at the bottom of the priority list permanently.
Where AI actually fits.
The specific implementations we run for accounting and bookkeeping practices. Each is scoped, quoted in writing, and capped at a not-to-exceed price.
Client intake and engagement letter drafting
AI-assisted drafts of engagement letters, scope summaries, and intake questionnaires tailored to the client situation. Partner reviews before anything sends.
Document collection workflows
Automated client document request workflows that adapt to the engagement type, with AI-assisted reminder cadence and intake categorization. Connects to whatever portal your firm uses.
Recurring deliverable prep
AI prep work on recurring reports and analyses (monthly bookkeeping summaries, quarterly client reviews, year-end packages) so the accountant time goes to interpretation rather than assembly.
Confidentiality-safe AI setup
Enterprise-tier accounts configured so client financial data is not used to train public models. Written documentation of what's allowed and what isn't.
Team training
Live, recorded sessions on the firm's actual tools and engagement types. Your team learns by doing on real workflows, with us in the room.
What this isn't for.
Where AI isn't the right answer in this industry. Knowing this up front saves everyone time.
- Tax advice or audit conclusions. Those are always the accountant's call, reviewed and signed.
- Sending client financial data to consumer-grade AI accounts without proper enterprise controls in place.
- Replacing professional skepticism on numbers that don't tie.
Where we serve accounting and bookkeeping practices.
We meet clients across the Portland metro area and Southwest Washington. The cities where we have the most active work:
FAQ
Questions from accounting and bookkeeping practices.
- Is it safe to use AI on client financial data?
- It can be, with the right setup. Vendors including OpenAI, Anthropic, Microsoft, and Google offer enterprise tiers with data-handling controls that meet professional-services confidentiality requirements. We configure those tiers for any AI work that touches client financial information and we document the policy in writing. We never connect client books, tax returns, or financials to consumer-grade ChatGPT or Claude accounts.
- Which AI tools fit a small accounting practice best?
- Depends on your stack. Most small Portland-area firms benefit more from getting AI working well inside their existing tools (QuickBooks Online's built-in AI features, Microsoft 365 Copilot, Google Workspace AI) than from buying a separate AI product. Standalone tools like Claude for Work and ChatGPT Enterprise come into play for client communication drafting and engagement letters. We'll recommend based on what your firm actually runs.
- What does AI cost for a small accounting firm?
- Most accounting firm engagements with us start with the $375 written audit, then run one to three small implementation projects in the $500 to $1,500 range. A solo CPA or small partnership typically sees ten to thirty hours per month of staff time freed up from a focused implementation. Ongoing advisory is available but most firms don't need it after the initial setup is in place.
Other industries we work with.
See all industries or browse cities we serve.