The AI reads the prices, code does the sums.
A language model can get a number wrong. So in the systems I build, the model only reads the amounts, and code adds them up.
InkDraft is a SaaS product I founded and operate. It takes a deal from the sales call through proposal and contract to signature and payment. It is live on paid self-serve plans.
Service businesses agree a deal in conversation and then have to turn that call into a proposal, a contract and a payment request. Each time the deal moves from one tool to the next, a price or a term can end up different from what was said.
Subscription plans in Swiss francs, plus a fee on each contract payment processed through Stripe Connect.
The same rules apply to any system where a business commits to what the AI produces: compute figures in code, require evidence for every extracted fact, check for contradictions, and keep customer data out of provider training.
Service businesses that agree a deal in a call and then have to produce the proposal, the contract and the payment request.
The model only reads the amounts from the call. Code adds them up and checks that the fees and the payment schedule equal the total, and every price line needs a quote from the call.
AI requests go to providers configured for zero data retention, and no provider trains on customer content.
Yes. The same rules carry over to any system where a business commits to what the AI produces: figures computed in code, evidence for every extracted fact and a check for contradictions.
A language model can get a number wrong. So in the systems I build, the model only reads the amounts, and code adds them up.
Every AI request sends your data to a provider. In the systems I build, each request tells the provider not to store the data and not to train on it.
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