How much does an in-house document AI engine really cost over 3 years?

In short.
How much does it really cost to develop, in-house, an AI tool that analyses files and prepares the company’s answers? Far more than the demo suggests: market analyses put a serious project at between $1.4 million and $2.2 million over three years, against $120,000 to $360,000 for a specialised solution over the same period. The gap does not come from the initial technology, which is almost free, but from everything else: people, security, evaluation, operations and opportunity cost.

The lines of an honest budget

The team: 4 to 8 engineers for three years, in a market where these profiles are scarce and expensive; by far the largest item. Usage: either calls to external models billed on consumption, whose cost grows with the tool’s success; or dedicated computing infrastructure, with its investment and running costs. Security and compliance: segregation of access rights, hardening against manipulation through documents, audits. Evaluation: test sets annotated by experts, non-regression benches, iterations to cross the threshold of useful reliability. Operations and support: monitoring, incidents, training, version upgrades.

The two costs spreadsheets forget

Time: 6 to 12 months before any real value, during which teams keep working the old way and equipped competitors move ahead. Opportunity: what those same engineers would have built on your product, the one your customers buy. Against this, a subscription to a market solution has one virtue: predictability. Provided you keep an eye on it, because some usage-based pricing lets unpredictability back in through the window; the question to ask remains “does my cost depend on my volume of use?”.

The Optivalue.ai approach

Optivalue.ai is subscribed on a flat-rate plan, with no billing per token or per credit: a predictable cost that the finance department records on a single line, whatever the volume of files processed.

Why is the cost gap so large?
Because the vendor spreads the cost of industrialisation across all its customers; a build pays for it alone.

‍Opportunity cost, in concrete terms?
The product features your best engineers did not deliver for three years.