Preparation hours per return by complexity
Time a sample of similar returns before and after to see real capacity gains.
During busy season, a surprising share of staff time goes into moving numbers from one place to another: W-2 boxes into the tax package, brokerage 1099 composites into Schedule D detail, K-1 lines into the return, bank and credit card statements into a bookkeeping file. It is careful work, but it is mostly retyping.
Document processing uses extraction tools, including some built into UltraTax CS, CCH Axcess, Drake and Lacerte workflows, plus AI-assisted reading for less standard documents, to pull values into a review screen. Staff check each figure against the source and approve it. The aim is to move time from keying to reviewing, which is where a CPA's judgment adds value.
Clients upload to the portal with a request checklist, and files are named and stored by client and tax year so extraction can find them reliably.
Turn on the source document scanning and import features in your tax software, and download 1099 data directly from brokerages where your software supports it.
For K-1s, statements and non-standard forms, an extraction step proposes values with links to the page they came from, for a preparer to accept or correct.
Extracted documents are compared to last year's list. If a 1099 from a prior-year brokerage is absent, the client gets an automatic request before preparation starts.
How we deliver this: AI automation for small business or fractional CTO leadership, scoped in writing and run over 90 days. See pricing or the sample scope.
Time a sample of similar returns before and after to see real capacity gains.
Shows where automation is reliable and where manual entry is still faster.
If transcription errors drop, reviewers can focus on technical issues.
Measures whether early missing-item checks shorten the queue.
For example, a firm with many clients holding partnership interests receives 300 K-1s between March and September. Instead of a senior keying each one, an extraction step reads the PDF, maps boxes to the return input and shows the result beside the source page. The senior confirms each line, handles state and footnote items personally, and moves on. This illustrative scenario shows the pattern; real time savings would be measured during a pilot.
In the first 30 days we would time preparation on a sample of returns by complexity, inventory which document types consume the most keying time, and test your existing software's import features alongside one extraction tool on real, prior-year documents.
Built-in tools may cover common forms like W-2s and 1099s well. If they do, use them. Gaps tend to be in K-1s, statements, non-standard forms and bookkeeping documents. We would assess what your current software handles before suggesting another tool.
Less accurate than on clean PDFs. Blurry, angled or cropped images reduce reliability, which is why every value is reviewed. Improving the client upload instructions, or asking for the original PDF from the issuer, often helps as much as changing the extraction tool.
It should not reduce it. Reviewers still review. What changes is that fewer review notes are about transcription mistakes, leaving more time for technical and planning questions. Firms should keep their quality control process as it is.
Illustrative defaults for an accounting firm. Replace them with your numbers.
a month in staff time, before any lost sales
Illustration only, not a forecast or guarantee. Recovered staff time becomes a cash saving only if spending actually declines or the time goes into paid work. Tool costs are an assumption; we replace every number here with yours before recommending a scope.
Document intake and data extraction: full guide
In 30 minutes we look at one recurring workflow, what it costs you today and whether there is a credible case to improve it. If there is not, we will say so.
30 minutes with Phil or Martin. No technical brief, no pitch deck. Phil or Martin replies personally, usually within one business day.