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The problem

Off-the-shelf AI sends your clients' tax documents to a third party.

Most "AI for accountants" tools are wrappers around public foundation models. Every document, every return, every client conversation goes through OpenAI, Anthropic, or whoever — outside your control, outside your engagement letter's confidentiality terms, and outside the GDPR / state-level privacy frameworks your international and multistate clients rely on.

Confidentiality risk

Client tax data flowing through public AI APIs creates exposure your engagement letter never anticipated.

Vendor lock-in

Your firm's workflows become dependent on a SaaS that can change pricing, terms, or get acquired without notice.

No audit trail

When the AI gets something wrong, you can't inspect why. Not acceptable for work that goes on a return.

Use cases

Three places we typically start.

Every engagement begins with a conversation about your specific bottleneck — but these are the patterns we see most often in accounting firms. Each is a fixed-scope, fixed-fee engagement, typically 4-8 weeks.

Use case 1

Tax preparation automation

AI agent that pre-fills returns from prior-year data and current-year documents, flags inconsistencies, and produces a reviewer-ready package. Reduces filing time by ~40%; saves the firm in our pilot ~$20K annually in senior-staff hours.

Use case 2

Bookkeeping copilot

Reads bank feeds, categorizes transactions per client's chart of accounts, drafts month-end journal entries. Saves ~15 hours/week per bookkeeper while improving consistency of client reporting.

Use case 3

Audit workflow automation

Sample-selection, working-paper drafting, exception detection. Increased throughput in our reference engagement by ~30% without adding staff.

How it works

From first call to deployed system in 4-8 weeks.

Step 1

Bottleneck conversation

30-minute call to understand the specific workflow you want to automate. We tell you whether AI is the right answer — sometimes it isn't, and we say so.

Step 2

Fixed-scope engagement letter

Engagement letter with fixed scope, fixed fee, fixed timeline. No hourly billing, no scope creep, no surprises. Typical range $15K–$35K depending on complexity.

Step 3

Deploy in your environment

System runs in your infrastructure, on your data, behind your access controls. We hand off documentation, training, and a runbook for your team to maintain it.

Curious whether your bottleneck fits?

30-minute call, no pitch. We'll tell you honestly whether what you're describing is a good fit for a fixed-scope AI engagement — or whether you're better off with a different solution entirely.