AI for your cost controlling.
From planning to explanation.
Everio brings AI agents to your cost planning. Connect material cost forecasting, scenario analysis and month-end variance analysis to prepare your next decisions.
Material costs
Costs in focus. Everio by your side.
EUR 8.4m actuals vs EUR 8.0m forecast.
+EUR 0.4m · +5.0%75% price effect. 25% volume effect.
Checked against source data01 / Forecast agent
Your next forecast starts with what you know.
Everio combines historical prices and volumes with market data and your plans. AI prepares price and volume forecasts at material or category level and highlights assumptions that need review.
Fixed contracts stay in place. Review the proposed prices, volumes and ranges before they become the basis for your next plan.
Illustrative workflow: Everio checks historical prices and volumes, maps sources and preserves fixed contracts. It derives material requirements from the sales plan and bill of materials. A draft price forecast with a range is prepared for review; a supplier surcharge requires confirmation.
02 / Scenario agent
Ask the question.
Everio works through the numbers.
Describe what you want to explore. Everio turns your question into specific changes and shows which assumptions change and which stay the same.
After your review, the cost model calculates the financial impact. Combine your own assumptions with AI suggestions in the same scenario.
Example scenario: the controller asks about a twelve percent increase in material prices. Everio proposes the change, keeps volumes and selling prices fixed and shows a confirmation before calculating. Planning data for part of the portfolio feeds into a cost model. Material costs increase by 12 percent. Annual contribution margin falls from EUR 12 million to EUR 10.56 million. Volumes and selling prices stay unchanged.
03 / Analysis agent
Variance identified.
Investigation prepared.
At month-end, Everio compares actual costs with the forecast. The variance analysis agent investigates price, volume and usage effects and traces them back to the underlying data.
You receive an explanation supported by evidence and a proposed next step. Review assumptions, compare a scenario or adjust the plan: the decision stays with you.
Illustrative June close: EUR 8.4 million actuals against EUR 8.0 million forecast. The agent calculates a price effect of EUR 0.3 million and a volume effect of EUR 0.1 million. The volume effect uses planned prices; the price effect uses actual volumes. Price changes explain 75 percent of the variance. The agent references purchase and consumption data and proposes reviewing price assumptions. Changing the forecast requires the controller's approval.
What would you like
to plan better?
Let's discuss how Everio can support your cost controlling.
Frequently asked questions
Who is Everio for?
Everio is designed for controlling and finance teams in industrial companies that want to plan material costs, compare cost scenarios and explain month-end variances.
What do the AI agents do?
The agents prepare price and volume forecasts, turn questions into cost scenarios and investigate variances between forecast and actual costs. You review assumptions and proposals before they feed into your plans.
What data is needed?
Depending on the use case, relevant inputs include historical prices and volumes, planned and actual figures, bills of materials and contract information. We work with you to establish which data your specific use case needs.
Why I’m building Everio.
At Bosch, I worked in controlling and product management. I experienced the challenges of cost controlling firsthand: when business conditions change, planning needs to keep up.
Later, in investment banking, I saw the same pattern from a different perspective. Companies repeatedly cited volatile markets as a major headwind and described how difficult it was to adapt. With Everio, I want to help controlling teams make sense of changes earlier and prepare their next decisions on a sound basis.
I’m supported by the Head of Data & Analytics at a DAX 40 company, who brings the technical perspective.