Digital Intelligence. Artificial Intelligence that answers to you.

Agentic AI held to production standards: agents that act within your processes, with a person in charge of every decision that commits you.

The problem

The AI hype has a governance problem.

Most organisations are fumbling their way through AI adoption. The symptoms are the same everywhere:

That is not a strategy. It is exposure dressed up as innovation.Digital Intelligence starts from the other end: we analyse a process, redesign it, then put AI to work inside it, with a person in charge and proof in production.

The Digital Intelligence approach

AI drafts. Your people decide.

We put agentic AI to work in your processes: agents that act, not chatbots that only answer. They take the repetitive work and leave every decision that commits you with the person accountable for it. Less retyping, fewer errors, more time for the work that needs judgement.

Where it pays off

Six examples, not a closed list. Wherever work is repetitive and follows rules, AI can take it on while a person keeps the decision.

Where it pays off
Finance

A close that never stops

A Monday before
Bank lines matched by hand, a trial balance that only squares at month-end, forecasts rebuilt in spreadsheets every quarter.
With AI
On structured Peppol data, AI agents reconcile invoices, payments and bank lines as they arrive, keep the books balanced every day, catch duplicate payments and odd entries, and answer "why did margin drop in March?" in plain language, straight from the ledger. Above all, they bring together figures scattered across legacy ERPs, old accounting tools and spreadsheets, without waiting for a migration.
You keep
Your finance team validates the entries, closes the period and owns every forecast.
Procurement

A procurement desk that watches the market for you

A Monday before
Quotes compared in spreadsheets, spend scattered across tools, supplier risks and contract renewals discovered too late.
With AI
Agentic AI manages your supplier base from onboarding to performance follow-up and watches each supplier's financial health, news and sanctions lists. It analyses the bids you receive line by line, prepares your responses to calls for tender, flags spend outside contracts and hands your buyer a negotiation brief built from history and market prices.
You keep
Your buyers choose the supplier, negotiate and sign. AI prepares the ground, people commit.
Customer service

Every customer answered in their own language

A Monday before
Every email read, sorted and answered from scratch, urgent cases buried in the flow, the same questions answered a hundred times.
With AI
AI sorts each request, spots urgency and frustration, and drafts a reply in the customer's language, French, Dutch, English or German, with the right context from your files. It notices which questions your knowledge base cannot answer yet.
You keep
Your agents review, adjust and send. Nothing leaves without them.
Sales

Arrive at every meeting knowing more

A Monday before
Meetings prepared in a rush, public tenders found too late, each proposal rebuilt from old documents.
With AI
Before each meeting, AI assembles a brief on the account: news, history, open topics. It monitors public tender portals, sorts the opportunities that fit and prepares a first response, assembling proposals from your past wins and standard terms.
You keep
Your account managers set the price, the commitments and the final wording.
Operations

Ask your data a question, get an answer

A Monday before
Figures pulled from several tools into a spreadsheet, weekly, by the same person, and problems noticed once they are already incidents.
With AI
Your managers ask in plain language and get the answer, the chart and the source. AI watches your flows for weak signals and anomalies, warns before they become incidents and turns meeting decisions into tracked actions.
You keep
Your managers interpret the figures and decide what to do about them.
IT & support

Standard requests resolved before anyone opens them

A Monday before
Access requests, how-to questions and tickets handled one by one by the same few people, documentation always one change behind.
With AI
AI resolves standard requests end to end, checks every access request against your policy before routing it, and updates the documentation each time something changes, so the next answer is already right.
You keep
Your IT team approves access and handles anything sensitive.
Testing & quality

Every requirement tested before it ships

A Monday before
Test cases written by hand at the end of the project, regression run when there is time, changes that reach production without anyone knowing what was tested.
With AI
Agentic AI reads each requirement and derives the user stories, acceptance criteria and test cases. It generates the automated regression suite, keeps it up to date as the application changes and flags every change that no test covers.
You keep
Your test lead decides what is critical and signs off each release. AI writes and runs the tests, people decide what ships.
Security & third-party risk

Security questionnaires answered, evidence ready

A Monday before
Supplier questionnaires filled in by hand for each client, evidence scattered across drives, audit and pentest reports that take days to turn into an action plan.
With AI
Agentic AI pre-fills security questionnaires from your policies and past answers, maps each piece of evidence to the controls of ISO 27001, NIS2 and CyberFundamentals, and summarises audit and pentest findings into a prioritised action plan.
You keep
Your security officer reviews and signs every answer and every risk decision. AI prepares the file, people take responsibility for it.
HR administration

HR questions answered, paperwork done

A Monday before
The same payroll and absence questions answered by hand every week, onboarding files assembled document by document, certificates typed one at a time.
With AI
Agentic AI answers payroll, leave and absence questions from your HR system and policies, prepares onboarding paperwork and drafts certificates and standard documents in the employee's language. It handles administration only and never evaluates people.
You keep
Your HR team reviews every answer and signs every document. Decisions about people stay entirely with people.

Your process is not on the list? The method stays the same: we start with a diagnostic of the process you choose.

Tell us which process costs you the most time or worries you the most. We start there.

How we work

From one process to production, step by step.

  1. 01

    Process diagnostic

    We map one process with the people who run it: where the time goes, where errors come from, which decisions must stay human. We also look at how the process and the roles around it will change.

    What you receive
    • A map of the process as it runs today
    • The tasks AI can take, and the decisions that stay with your people
    • A pilot scope, with success criteria agreed upfront
Security & governance

What stays under your control

Digital Intelligence works inside your rules. You decide what AI may do, and you can check what it did.

  • Secured access

    Each automation has its own identity and only the access rights it needs, revocable at any time. Secrets are kept in a vault, never in the code, and every automation is security tested before it goes live.

  • Who validates what

    Every action that commits you, paying, signing, sending, deleting, waits for a named person to approve it. AI proposes, people decide.

  • Your data in Europe

    Your data is hosted in European regions and not used to train public models. When an AI model runs outside Europe, it does so under zero data retention; where confidentiality requires it, models run in Europe or on infrastructure you control.

  • Every decision traceable

    Each AI proposal is logged: what it saw, what it suggested, who approved it and when. You can answer an auditor at any time.

  • Compliance from day one

    Before a project starts, we assess it against GDPR and the EU AI Act: risk class, transparency, human oversight and logging. Uses the AI Act treats as high-risk are flagged upfront, with the safeguards they require.

  • Costs you can see

    AI usage is measured per process and per month. You know what each automation costs and what it returns.

Models and tools are chosen case by case, including models hosted in your own environment. None is imposed.

Engineering

The expertise behind it

Digital Intelligence rests on engineering we practise every day in production, on our own business first: agentic AI, where agents act within processes under human control. Here is what that means for you.

Agentic AI and MCP

Agents act inside your systems through the Model Context Protocol, the open standard that connects AI to business tools without a one-off integration each time.

Multi-model orchestration

Several model providers, EU-hosted where required, and open models run in your own environment: each task gets the model that does it best at the lowest cost, and no single vendor holds you hostage.

Models in your environment

Open-weight models run on infrastructure you control whenever the data must stay inside.

Cost under control

Prompt caching and per-call measurement keep the AI bill predictable, process by process.

Document understanding

Scanned PDFs, forms and letters read natively, including documents that carry no text layer at all.

Zero-trust APIs on Azure

API Management, Entra ID, OAuth and app roles: every caller is identified, every access is scoped and can be revoked.

Full observability

OpenTelemetry, Application Insights and Log Analytics: every agent action is logged, measured and alerted on.

AI plus Power Automate

AI models read and propose, Microsoft Power Automate workflows (Power Platform) move the work between systems, with Dataverse and Peppol connecting the agents to the processes your teams already run.

Read how we build it

We don't show mockups. We show what is running. Production grade.

Our own business runs on the same architecture we deliver to clients.

0+

business conversations handled on our platform in the last 12 months

Every AI output is a proposal, not a decision.

Real systems. Not demos.

14 MCP servers and 239 API endpoints sit behind one gateway and one identity. Around 2,000 e-signature operations a month run through it, with no one pressing a button.

~0

actions our AI agents can perform across 14 MCP servers

Live
0+

automation flows built across our environments

0%

of AI outputs that commit us are approved by a person first

AI proposes, a named person decides.

In our own house

Road fines on our company fleet

Fines arrive through the Justice eBox or as a local scan sent by email, and from there nobody has to chase them. AI reads each one and identifies the vehicle and its driver; Microsoft Power Automate runs the follow-up. For a federal fine, the declaration naming the driver is prepared within the 15-day legal window and a person confirms it. For a municipal or other fine, the driver is informed directly.

See how it works
a few cents

AI cost per fine

Business impact

What changes for your business.

Time back for your teams

Time back for your teams

The repetitive work moves to AI. Your people spend their time on the cases that need judgement.

Fewer errors, fewer re-entries

Data is entered once and checked automatically, so mistakes are caught before they cost you.

Growth without the extra workload

Growth without the extra workload

Volumes can rise without manual work rising with them, because your processes absorb the load.

Read how we build it

Let's architect your Digital Intelligence roadmap.

A first 45-minute conversation about your Digital Intelligence maturity. No generic playbook: we look at where automation would actually pay off for you.

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