Clavis proposes a price and a win chance for every quote line, tests it against your current pricing playbook and learns from every quote you win, lose or let expire. You decide how much it may do on its own.
A solution on Rollo AI OS| Customer | Line | Starting price | Agent proposals, per unit | |
|---|---|---|---|---|
AL Acme LogisticsenterpriseORD-58099 | Gadget× 5 | €116.10 | Price optimizer€134.68+16.0% Current playbook€112.62-3.0% | |
HB Havenport BVenterpriseORD-89905 | Widget× 50 | €17.09 | Price optimizer€19.31+13.0% Current playbook€16.58-3.0% | |
JS Juniper SchoolsORD-67573 | Gadget× 120 | €129.00 | Current playbook€129.000.0% Price optimizer€132.23+2.5% | |
NG Nordwind GmbHenterpriseORD-52457 | Widget× 5 | €17.99 | Price optimizer€20.15+12.0% Current playbook€17.990.0% |
The problem
Nobody knows if a price was the right one.
An account manager with 150 customers cannot remember what each one is willing to pay. So quotes run on gut feel and pricing rules grow by habit. One price slightly off is small; across thousands of quotes it adds up, and nobody sees it, because there is no baseline to compare against.
Rules nobody designed
Price lists, rules and exceptions pile up over the years, with no consistency between them. Nobody can say anymore why a price is what it is.
Prices set on gut feel
Every rep prices in their own way, so similar customers can get very different prices depending on who writes the quote.
No feedback loop
Won, lost or never answered, the outcome rarely flows back into the next price. So nobody learns.
Margin leaks quietly between the starting price and the deal.
Spreadsheets go stale, black-box models get overridden by sales, and enterprise suites are built for much larger companies. They all try to say what the price should be. None of them tell you what that price returned.
The product
Clavis treats every price as a decision.
A decision you can explain, test and improve. Clavis brings your data, the market and your own way of working together, and proposes the best price for each quote line. Your people keep the final say.
Advisors with one job each
Each agent proposes one thing, such as a unit price, and is judged on one goal, such as margin. They work in the background and follow your customers and the market around the clock.
Start simple. Add intelligence step by step.
Agents · sample dataSample data
Acme Logistics · Gadget × 5
Which agent acts, where
A strategy decides which agent handles which quote, and how much room there is to learn.
Proof comes from testing, not from claims.
Strategy · 90% best known price, 10% testLive
Every relevant signal, captured
Clavis follows signals about your customers and their market that no person could keep track of, and builds a picture of each customer from them.
It sees more than your best salesperson can remember.
Signals · what drives this priceSample data
Every quote, followed to the end
Each decided line is followed until the customer answers. That outcome is what Clavis learns from.
A quote that goes unanswered becomes data too.
Tracked quotesLive
For your sales team
Your team wants to sell, not do price analytics.
Your account managers are good at relationships. Clavis does the part no person can: remember every customer, every quote and every outcome, and turn that into a better starting price for the next one.
It remembers every customer
Every order, quote and outcome per customer, brought into the next quote. Your price comes from what you know about the customer, not from who writes the quote.
Your people keep the final say
Clavis starts as an advisor and hands your team a better starting point. It only gets more room when the numbers show it has earned it.
Measured against your own playbook
Every recommendation is compared with how you price today, so the result is something you can check yourself.
Control
Clavis earns its autonomy, step by step.
Clavis starts as an advisor and only gets more room when your team trusts its proposals. Always inside the price limits you set.
What happens to one quote · Shadow mode
- 1
Proposed. Clavis suggests €134.68.
- 2
Compared. Your rep sends their own price.
- 3
Learned. Clavis learns which price would have done better.
What happens to one quote · Approval
- 1
Proposed. Clavis suggests €134.68.
- 2
Reviewed. Your rep approves, edits or rejects it.
- 3
Sent. The approved price goes out.
What happens to one quote · Selective autonomy
- 1
Proposed. Clavis suggests €134.68.
- 2
Checked. It sits inside your price limits.
- 3
Sent. The quote goes out automatically.
What happens to one quote · Full autonomy
- 1
Proposed. Clavis suggests €134.68.
- 2
Sent. It goes out automatically, within limits.
- 3
Reported. Your team reviews the results weekly.
What is at stake
Two ways the next year can go.
Inconsistent prices, rules nobody designed and no feedback loop cost margin every day, and the know-how lives only in people’s heads. Clavis wins that margin back and is built to pay for itself within the first year.
With Clavis
- Margin left on the table today is no longer lost
- Clavis pays for itself within the first year
- Every price decision is tracked and tested
- Prices follow what each customer is willing to pay, not habit
- Your team learns from every quote, won or lost
- An uplift you can show to your board
Without
- Margin keeps leaking, unseen
- Your pricing rules stay untested
- Pricing still depends on who writes the quote
- Every review starts again from gut feel
- No consistency in pricing across your sales team
How it starts
From your data to daily quoting, in three steps.
The first step is the easy one: an analysis of the data you already have, at a fixed fee, with no integration or IT project. From there, Clavis runs next to your team and takes on more as your team gets used to it.
Analyze
You share standard exports of your quotes, orders and price lists. We show you where your margin leaks and how much, and check together whether Clavis fits.
Proof of Value
Clavis works on live quotes next to your team, first in shadow mode, then with approval, measured against your current playbook.
Production
Clavis becomes part of daily quoting at the level of control you choose, with a monthly view of what it returned.
The result: you stop losing margin
Prices that fit each customer, a sales team that trusts them, and margin that stays in your business instead of leaking away. With a tool that is built to pay for itself within the first year.
A good fit
Clavis works best where many people price many products for many customers.
Rollo AI OS
One of the solutions on Rollo AI OS.
Clavis runs on Rollo AI OS, the platform and team that bring AI into the processes that run your business. It is built by the Rollo team that puts AI into production for a retail group and fuel station operators.
Your data stays yours
Clavis runs in your own environment or private cloud, or managed by Rollo on European infrastructure. Your data never trains a model.
How we handle securityOn an open platform
The same open-source, industry-standard platform as every agent on Rollo AI OS, so your IT team can read and run it.
Explore Rollo AI OSMore than pricing
Customer service, document intake, maintenance and back office run on the same platform. Start with pricing, add the next process when you are ready.
See all solutionsFAQ
Questions we hear.
On how you start, who sets the prices and what it costs.
Your question isn’t here? Talk to us
Do we need an IT project to start?
No. The analysis runs on standard exports of your quotes, orders and price lists. Connecting Clavis to your systems only comes up once the analysis shows it is worth it.
Does Clavis set prices on its own?
Only where you decide it may. Clavis starts in shadow mode, then moves to approval, and only gets automatic room for segments you choose, always inside the price limits you set.
How do we know it works?
Your current pricing playbook becomes the baseline agent, and every recommendation is measured against it. Per quote line you see which price was proposed, which was sent and what the customer did.
What does it cost?
The analysis is a fixed fee. After the Proof of Value, Clavis is a subscription, built to pay for itself within the first year.
Find out where your margin leaks.
Tell us how your team quotes today. We’ll show you what an analysis on your own data looks like.