Automate the decisions your team makes by hand.

When the agreed workflow needs a pipeline or dashboard to run, it is included in the fixed scope.

• Manufacturing

  Purchase orders typed into the ERP

  Orders arrive as PDFs, scans and emails. AI reads each one and creates the order in the ERP. A person checks only the ambiguous ones.

• Food & ingredients

  Supplier onboarding files

  Each new supplier sends a stack of documents. AI checks them against the required list and the regulation, and fills in the file for the quality team.

• Waste & recycling

  Field photos checked automatically

  Photos come back from every collection round. AI spots the anomalies and writes a standard report with the evidence attached.

• Retail & e-commerce

  Product descriptions from product data

  Descriptions written and translated from the data already in the ERP, in the brand’s tone. The merchandising lead approves before anything goes live.

• Engineering services

  Market watch and prospect lists

  An agent follows publications and projects in the company’s field, qualifies the ones that match its expertise and adds them to a lead list for sales.

• Print & packaging

  Ask your project system a question

  Thousands of projects, versions and proofs in a bespoke tool. Staff ask in plain language and get the right record, version or history back.

1. 01

   Call & proposal

   Free call · proposal in 24 hours

   You tell us the decision you want automated and what data you have; we tell you whether it is feasible. The next day you get a written proposal: the data we need, the success criteria in plain numbers, the timeline and a fixed price. You sign off before anything is built.

2. 02

   Build

   2–6 weeks · fixed price

   We connect to your data, build the model and deliver the results where your team works: an API your systems call or a dashboard your people open. The build ends with a results presentation against the success criteria and a handover of everything we made.

3. 03

   Maintain

   Monthly · optional · cancel anytime

   We host, monitor and keep the system accurate: drift checks, retraining with new data, fixes and new features as your business changes. Or your team runs it; the choice is yours.

Is my problem a fit?

Good fit: a decision or a number your team produces repeatedly today (fraud / not fraud, how much to order, which category this document belongs to) and a few months of history where you can see what happened. If you have both, book the call. Not sure? Email a redacted sample and the decision you want to improve to hello@xval.ai and we will tell you whether a call is worth your time.

What data do you need?

Exports from the systems you already use: your database, your platform, spreadsheets, CSV files. Nothing has to be clean. Part of every project is a data audit where we tell you what is usable and what is missing. As a rule of thumb, a few thousand past cases with the outcome is enough to start.

What do I get at the end?

A results presentation with the numbers against the success criteria we agreed (for example: forecast error, share of cases classified correctly), and the working system: model, code, tests and documentation, delivered where your team works. Then you decide whether we maintain it or your team takes it over.

Who owns what you build?

You do. Code, models, tests and documentation are delivered to you. If you decide to run it yourself, or with another team, you can.

Where does it run, and who maintains it?

Either on your servers or on our cloud; we recommend once we know the data volume and where it lives. Maintenance, monitoring and retraining are available as a monthly service, cancel anytime. You can also take it in-house at any point.

How do you protect our data?

Before any data is transferred we agree in writing where it is stored, who can access it, which subprocessors (including AI model providers) are used, how long it is kept and how it is deleted. We sign a data processing agreement where required, and we can work entirely inside your environment so data never leaves it.

What happens if the agreed result is not achieved?

The acceptance test is written into the proposal before the build starts. If the delivered system does not meet it on the agreed evaluation data, we keep working at our cost or you do not pay the final milestone. Your obligations (data access, a named contact, evaluation data) are written into the same proposal.

How do you deliver quickly without cutting corners?

A named engineer owns the specification, architecture, review and acceptance test. We use AI-assisted coding to speed up implementation; every change is reviewed by that engineer and tested against your data before release. Price is set by scope and acceptance criteria, not hours or team size. We agree before starting which tools may see your data or code.