Why Numeri
How we compare
There are four realistic ways to get AI into an accounting practice. Each is right in different circumstances.
The situation
You cannot hire your way out of this.
300,000+1
accountants left the profession, 2019 to 2022
75%2
of licensed CPAs within 15 years of retirement (AICPA)
43%3
decline in CPA exam candidates over the past decade
Salaries are rising faster than realization, and the open seats stay open.
Inside the firm this looks like partners reviewing work they should never see in draft form, managers doing preparation because there is no one to delegate to, and staff leaving because the job they were hired for is buried under document intake and tie-outs.
The hours are not going to the work clients pay for. They are going to the preparation underneath it. That is the layer we automate.
Sources
- 1AICPA and NASBA Trends Report, on accountants leaving the profession and the CPA pipeline.
- 2AICPA estimate of licensed CPAs within fifteen years of retirement.
- 3AICPA Trends Report on CPA exam candidates over the past decade. Openings per year: U.S. Bureau of Labor Statistics. Firm AI adoption: CPA.com and Blue J survey.
| Option | Best when | Limitation |
|---|---|---|
| Enterprise AI platforms | You want standardized capability and your workflows are close to industry standard | Built to the average of many firms. Firm-specific methodology is out of scope by design |
| General consultancies | You need strategy and change management | They advise and specify. Implementation is handed to someone else |
| Building internally | You have engineering capacity and the workflow is core to your edge | Hiring and retaining engineers against technology-sector competition, plus permanent maintenance |
| Numeri | You have specific workflows worth automating and no engineering team | We are small and take a limited number of firms per quarter. We are not the answer for standardized needs a platform already serves well |
When we point firms elsewhere
If your requirement is standard and a platform covers it well, buy the platform. It will be cheaper and better supported than anything we would build for the same job, and we say so in the assessment. Where we are the right answer: your methodology, your templates, integration between systems never designed to connect, and workflows too firm-specific for any vendor to build for one customer.
Why Numeri
Generated is not the same as verified.
Generic chatbots
Reads and drafts from a public model. No verification stage. Confident when wrong.
Point automation tools
Automates a single step. No independent check, no source trace back to the file.
Numeri
A harness per workflow
Each workflow runs its own purpose-built harness. One generic prompt is never asked to do everything.
Deterministic computation
Arithmetic runs in verified code. Models read, classify, and explain. They never calculate.
Source-level traceability
Every figure opens to its origin in one click: the document page, the ledger row, the bank line.
What is different in practice
Engineers, not licenses.
People building against your process, not a subscription and a help center.
Verification as architecture.
Every output independently checked and source-linked before it reaches a reviewer.
You keep what we build.
Delivered systems and documentation are yours. Nothing is contingent on continued payment.
Fixed scope, agreed outcome.
One measurable result defined before work begins, reported against plainly.