Service

Custom AI Solutions

From automation to full product: scoped, designed, and shipped. Built to integrate with your existing workflows, not replace them.

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Who this is for

Businesses and organizations with a specific problem that generic off-the-shelf tools haven't been able to solve.

Problem

Off-the-shelf tools rarely fit the real workflow, data shape, or delivery requirements of the business.

Deliverables

  • Working AI-powered system
  • Scalable architecture and implementation design
  • Deployment and handover

How the engagement works

  1. Frame the problem and define constraints
  2. Design the architecture and implementation path
  3. Build, deploy, and hand over the working system

Methodology

Every engagement begins with a problem framing session — not a requirements gathering exercise, but a structured attempt to find the smallest version of the problem worth solving. The goal is to avoid building the wrong thing at scale.

From the framing, we define the architecture: what the system takes as input, what it produces, how it connects to existing tools, and what happens when it fails. This is documented before a single line of code is written.

Build phases are short and iterative — typically two to three week sprints with working software at the end of each. Nothing is built in isolation. Every component is tested against real operational data from your environment, not synthetic test cases.

Deployment and handover are built into the project scope, not treated as afterthoughts. The aim is that someone on your team can extend or maintain the system without calling a consultant to do it.

Case example — Energy utilities

Challenge

A field operations team was spending 40% of their weekly coordination time manually routing maintenance requests across regions based on skills, availability, and geographic proximity — all managed in spreadsheets.

Outcome

A routing system built in six weeks reduced manual coordination time by 65%. The system handled edge cases — specialist unavailability, emergency overrides — that would have taken months to scope in a traditional procurement cycle.

Pricing

Project-based, starting from EUR 3,000

Timeline

4–10 weeks depending on scope

FAQ

Do we need to replace our current tools?

Not necessarily. Many projects work best as integrations around existing systems rather than full replacements.

What happens after delivery?

You get a working system, architecture clarity, and a handover path so your team can operate or extend the solution confidently.

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European Commission
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Custom AI Solutions | Belghitis