Project & data

Value that slips away today - and what changes

Project managers and engineers are rarely hired to cut and paste between datasheets and spreadsheets - but that is often where the day ends up. In data-intensive projects, it eats more of the time than anyone likes to admit. Four places where agents do something different from traditional PLM, ERP and document tools:

Components sourced and structured while the project manager sleeps

A complex facility can consist of thousands of components, and for each one someone needs to find the datasheet, read the specifications, check price and availability, and punch it in. Agents pull this from supplier pages and PDFs and structure it into the project's component register automatically when something is added to a spec. The engineer gets structured alternatives instead of empty cells.

Thousands of items categorized in hours

A unique catalog, product base or bill of materials per customer often requires someone to sort thousands of items from inconsistent sources into categories that did not exist in any system beforehand. The agent reads names, properties and use cases, and suggests a consistent categorization based on the customer's own taxonomy - including duplicates and inconsistencies humans overlook. What used to take weeks is finished in days, and more consistent than manual work ever was.

Specifications cross-checked against the project's requirements

When a project has thousands of components, it also has thousands of opportunities for a specification to fall outside the requirements - technical, regulatory or contractual. The agent reads each datasheet against the project's full set of requirements and flags deviations before anything is sent to engineering. Deviations that would have cost a revision round are caught before they reach the drawing board.

Documents generated directly from validated data

When the project is ready for delivery, someone has to assemble component lists, certificates, declarations of conformity and customer-specific documentation - days of cross-referencing between systems. When agents have already structured the data throughout the project, a catalog, BOM, quote or delivery package can be generated on request in the customer's format. Documentation becomes a by-product of clean data, free from a separate hump of work before handover.

None of this is small-margin value. The biggest opportunity lies in giving engineers back the time they lose to punching, indexing and assembling data.

Why an agentic platform

All of the above assumes the agents have somewhere to live. The platform is that layer. What matters is whether it is built so the value stays with you over time.

The platform should be the easiest thing to replace in the whole setup. The value should live in your logic and your data, decoupled from a vendor roadmap or pricing model. Four properties determine in practice whether you actually own what you build.

Your logic, governed by you

Each business specifies, categorizes and validates in its own way. The agentic part is that this way of working can be expressed as it actually is, free from the limits of a standard field or a built-in PLM template. The company's own taxonomy, naming conventions and quality requirements determine what the agent does.

Data you do not have to force into a schema

Most component knowledge sits outside PLM or ERP fields: datasheets as PDFs, supplier pages, spreadsheets, emails with spec changes, old project archives. Agents use it as it is. You do not need to build dashboards or bridge integrations in systems that were never meant for it - or wait for a vendor to prioritize exactly your data source.

The platform is the easiest thing to replace

We prefer open source that you can run yourselves. What matters most is that the logic and data live with you - in your own account, your own infrastructure. If you replace PLM, ERP or the agent platform itself in three years, the work should move with you. The plug should always be possible to pull.

The cost follows the infrastructure you use

Per-action and per-document pricing starts to hurt at scale precisely when you begin to succeed - and projects carry volume in components spread across many documents. Open infrastructure lets cost follow actual resource usage - based on the infrastructure you already have. That makes it realistic to let agents take over work at real volume, far beyond pilot size.

Questions worth sitting with

None of them has a single right answer - but they make it easier to see where the value actually sits.

1. What share of a project engineer's week goes to fetching, reading and punching datasheets - and how much goes to actual engineering?
2. How many different places does the same component information live today - and how often do they agree?
3. When a catalog or delivery package has to go out, how much of the work is assembly that only exists because the data lacked cleanliness from the start?
4. How much of the component knowledge and quality logic lives in a setup you own yourselves - and how much in a vendor account?

Built once - together with you

The building blocks extend beyond project work. The same agentic layer also powers marketing, sales, service, transport and logistics, and production - with different agents on top. The capability is built once and used in many places.

We are the ones who build them with you - a build team that takes the agents from first version into operations, and keeps developing them when you find the next place they should take over work, on an open foundation you own yourselves.

This becomes easier to understand if you stop thinking of it as tools.

"The future's capacity is built with agentic workflows."