Customer inquiry in. Proposal draft out.
Your AI system pulls together product data, current prices, and matching templates — your sales team reviews, adjusts, and sends. What takes 3–5 days today will take hours tomorrow.
Today's Reality
Product data in the ERP, price lists in Excel, templates on the file server — every proposal requires the same manual search across three different sources.
How prices are calculated, which discounts apply to which customers, which phrases work — 2–3 experienced salespeople know this. New employees need months.
For technically complex inquiries, the proposal goes out after 3–5 days. The competition responds faster — and wins the order.
Errors in prices or specifications are only noticed by the customer — not when creating the proposal.
How It Works Instead.
Capture
Customer inquiry comes in — by email, form, or directly from the CRM. The system recognizes the product, quantity, special requests, and customer history.
Assemble
Product data from the ERP, current prices, applicable discount rules, matching templates from past proposals — all pulled together automatically. No manual searching across three systems.
Create
A complete proposal draft — technically correct, calculated, in your format. Your sales team reviews, adjusts where needed, and sends. Minutes instead of days.
Learn
Every corrected proposal makes the system better. The pricing logic, the phrasing, the exceptions — the system gradually adopts them.
Especially relevant if:
- Your sales team creates 20+ proposals per month — with technical specifications and variable pricing logic.
- Proposal creation depends on 2–3 experienced people — and new employees need months before they can work independently.
- You're losing orders because you respond too slowly — or because errors in the proposal cost you trust.
Under the Hood
Infrastructure
On-premise or EU cloud — in both cases under your control. Price lists, customer conditions, calculation logic: no US provider, no Cloud Act risk, GDPR-compliant by design.
Integration
Connection to ERP, CRM, and product databases — the system works with the data that's already there. No double maintenance, no new system your team has to learn.
Models
Trained on your product world, your pricing logic, and your proposal structure. Not a generic tool that writes general proposals — one that knows your sales team. You can switch or take over the model at any time.
How It Works
Design Sprint
2 WeeksWe analyze your proposal process with real inquiries and real proposals from your operations — not demo data. You get: technical solution architecture, business case with ROI numbers, identified risks, and a clear go/no-go recommendation. Fixed price. If the project doesn't pay off, we say so here — before you invest big.
Implementation & Go-Live
4–10 WeeksWe build the system on your product data, your pricing logic, and your proposal templates. Your sales team is involved from the start — not as test audience, but as co-creators. When the system goes live, we train the team directly on real inquiries. Clear scope, clear price.
Operations
OngoingNew products, changed pricing logic, new customer groups — the system grows with you. Either as a managed service by us — or we hand over to your IT with full documentation. No vendor lock-in.
“Omniance has made our internal administration significantly faster and simpler — with excellent return on investment.”
INOS GmbH & Co. KG
Industrial On-Site Solutions
Built by a team with 16 AI patents and 14 years of applied AI development — at Philips Research, Heidelberg University Hospital, and CERN. Our standard: systems must work 10 out of 10 times. Not 9.
Meet the teamHow many orders are you losing right now due to long response times?
No pitch. We look at your proposal process together — and honestly tell you whether automation makes sense for you. If not, we'll say so.