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For organisations ready to move past the pilot

ReadyforwhatcomesaftertheAIpilot?Working agents inside your processes, embedded in your stack, AI Act-ready. Built on twenty years of best practice in transformation.

The technology is here. Every business case looks better than the last. Every vendor wants to walk you through another platform demo. What you actually need is a partner who takes your organisation into the next phase. One where people and agents do the work together, supported by the strategy, the operating model, the build and the governance that hold it all in place.

For manufacturers, professional services, healthcare and retail organisations of 100 to 2,000 people

First agent in production within 60 days

What we see every week

Five patterns you almost certainly recognise

Whether you are growing, restructuring or have just decided to do something with AI, your organisation already has plenty on its plate. What we see every week comes down to the same five questions.

You have to grow without scaling headcount at the same rate

The board expects volume growth. Roles have been open for months. Margins are under pressure. Capacity has to come from somewhere else, because simply hiring more people is no longer an option.

AI-equipped competitors are moving faster than ever

What used to take months, a competitor now does with agents in days. Cycles shorten, customer expectations shift with them, and margins tighten. Wait for the market to prove it and you are already behind.

Your pilot is stuck between IT and the business

Microsoft Copilot is on the shelf. The ChatGPT experiments are not paying off. No one feels accountable for getting it into production, and the momentum leaks away another month at a time.

The EU AI Act deadline of 2 August 2026 is closer than you think

Annex III systems in HR hiring, credit scoring and critical business processes have to be compliant. Conformity assessments, technical documentation and human oversight take months to put in place, not weeks.

Everyone is selling you technology, no one is helping you implement it

Another platform pitch every week. Microsoft Copilot, Google Gemini, OpenAI, a startup with an AI agent. The technology is not the problem. The problem is how you embed it in your organisation: operating model, governance, ownership. That is the part you are left to figure out on your own.

How we work together

One programme. Three capabilities. Two teams that work side by side.

Transformation only works when advice, build and ownership stay together, and when your own people carry it forward. We bring three capabilities you rarely find in one partner. You bring the organisation where they have to take root.

Strategy

Advice we are able to deliver ourselves

Roadmaps that start with your products and processes, not with a template. Because we build every day, the realities of execution are already baked into the plan. A route we can start together, and one you can finish without us.

Build

Working solutions that stay in production

We built Volentis because the only way to know how agents behave under pressure is to run the runtime yourself. You feel that craftsmanship when we build for you, on Microsoft, Google, AWS, Volentis or on a private LLM inside your own datacentre. Your process owners work alongside us. No demos. Production.

Ownership

Until your people run it themselves

Twenty years across HR, finance and operations taught us what makes a transformation actually stick: technology is a third of the answer. We work with you until your own people carry it, and it runs without us. Only then is it done.

What comes next

When people and agents work together, your organisation changes

AI in production is not the finish line. It is the starting point. The moment agents do real work in your organisation, the way work gets divided starts to shift. Three shifts the organisations getting it right are already seeing today.

Work

Routine work shifts to agents

What now takes hours of looking up, summarising, preparing and handing over, an agent does in seconds. People get the space for the work they were actually hired to do: judgement, contact, design and decisions.

Roles

People become designers and supervisors

Your people do not disappear, they change roles. They design the work the agents do, they check the output, they step in when things get complicated. That asks for a different way of organising.

Capacity

Capacity decouples from headcount

You grow in volume without scaling headcount in lockstep. Busy Mondays? Agents absorb them. Peaks? Agents absorb them. Absences? Agents absorb them. Your organisation gets more resilient without getting more expensive.

This is what we design, build and embed. Starting with your products and processes, on your stack, at your pace.

Four building blocks

Four building blocks for AI that takes root

A working AI agent does not just run on its own. Let alone several agents linked together doing autonomous work. That asks for four building blocks at once: a realistic roadmap, an operating model that holds up, governance that is in place, and people who actually build it. We deliver all four. Separately, or as a single connected programme.

The working solution itself

Working agents in production within 60 days

AI-Agent Build & Run

Agents for HR, Finance, Legal, IT and Compliance. Or for your work preparation, case handling, registration or content cycle. Built on Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, the EU-sovereign Volentis platform, or a private LLM environment on your own hardware. First agent in production within 60 days, or the build phase is not invoiced.

For manufacturing directors watching lead times climb, professional services partners watching utilisation drop, healthcare executives buried under registration work, and e-commerce managers who cannot keep up with their content cycle.

Build your first agent

A credible route to execution

AI Strategy & Roadmap

We start with your products, processes and people. In four to eight weeks you know where you stand, where AI helps your organisation most, and which use cases come first. A roadmap that is actually finishable, because the realities of execution are already in the plan.

For boards and executive teams still looking for direction.

Start the roadmap

Where the new division of work gets designed

Operating Model Redesign

Which tasks do agents take on, which stay with people, and how do they work together? This is where we design the new division of work for HR, finance, shared service centres or customer contact. Twenty years of transformation experience, combined with the AI layer that changes the whole model.

For CFOs, COOs and HR directors rethinking how their function is organised.

Redesign your model

Annex III-ready by 2 August 2026

EU AI Act Compliance & Governance

Conformity assessment, technical documentation and human oversight in a format your teams can actually use. A set-up that holds up when the Dutch Data Protection Authority comes through the door, not just on paper.

For compliance officers, risk officers and AI leads with high-risk systems.

Book the portfolio scan
Building on your stack

Your stack is the starting point

The best practice for your AI follows from where your data already lives, which compliance requirements apply to you and which talent you already have. Not from a vendor’s sales agenda.

Twenty years in Microsoft 365? We build on that. Google Workspace? Same. EU sovereignty as a hard requirement? Then Volentis is the obvious choice. What stays true in every case: the solution has to take root in people, processes and governance.

Microsoft

Copilot Studio · Azure AI Foundry · Dataverse

Google

Vertex AI Agent Builder · Gemini Enterprise

AWS

Bedrock · Strands · custom orchestration

Volentis

EU-sovereign agent runtime · our own

Plus integrations with your existing systems

SAP, Microsoft Dynamics, AFAS, Personio, ServiceNow, Salesforce, Solid Edge PDM and most other enterprise and industrial systems.

Three deployment models

Three ways we deliver AI

The choice follows from your constraints: time-to-value, data sovereignty, IP control, or how you want to keep inference costs predictable. Not from what a vendor happens to be selling.

Microsoft · Google · AWS

On your hyperscaler

We build on the stack you already have, with the operations team that already knows it. The fastest route to working agents.

Volentis · EU data residency

On our sovereign cloud

Volentis is our EU-sovereign AI platform. We host and run it for you, with EU data residency and no Cloud Act exposure. For when sovereignty is a hard requirement, but running your own infrastructure is not the point.

Private AI · Dedicated LLM in your datacentre

On your own hardware

A dedicated LLM environment on hardware inside your own datacentre, closed loop. Recently delivered this way for a Dutch machine builder where engineering IP cannot leave the building, and where the inference volume would have turned per-token billing into an unpredictable cost line. With dedicated hardware, costs are fixed and data stays within your own walls.

More on Private AI
Work in production

What it looks like when a pilot is actually in production

At Dutch organisations in industry, industrial automation and professional services. No pilots, no demos. Production.

Manufacturing

Machine builder · 600 staff · three sites

Work-preparation agent that pushes engineering revisions through to bills of materials, routings and work instructions. Connected to SAP and Solid Edge PDM.

Result

Order-line lead time down from 11 to 6 days. First-time-right from 82% to 91%. Work preparation saves 1.5 FTE.

What this means for you

For you: your shop floor no longer waits on the previous order being marked complete, and your planner can hit the delivery dates you promised.

Industrial automation

Machine builder in food and pharma · 700 staff · installations in 25+ countries

Knowledge agent on the Volentis platform that opens up machine documentation, service manuals and engineering specs for field engineers and sales engineers worldwide. Connected to SharePoint and PDM, with source citation on every answer.

Result

Response time for field engineers drops from hours of waiting across time zones to seconds. New engineers performing at senior level from month one. Knowledge of departing seniors captured.

What this means for you

For you: your service team raises its capacity without adding people, and the retirement cliff stops being a continuity risk.

Professional services

Business services firm · 800 staff

HR agent connected to AFAS and Personio. First-line questions, leave requests, onboarding and offboarding flows after a collective agreement change.

Result

50 to 70% of tickets handled. ROI within 9 months through hours saved and faster response to employees.

What this means for you

For you: your team leads get back the time that now disappears into administration and HR questions, and your people get answers 24/7.

Client names available on request, in line with our NDAs.

67

Days to

2 August 2026

EU AI Act

High-risk AI has to be compliant

From 2 August 2026 onwards, Annex III systems require conformity assessment, technical documentation and human oversight. Our portfolio scan takes two to four weeks.

Does this apply to you? Annex III covers AI in:

HR hiring & CV screeningCredit scoringCritical business processesEducation & assessmentHealthcare decisionsPublic services
The next step for your organisation

Ready to
take the step?

An exploratory call that starts with your products, your processes, your people. Together we map out where AI helps your organisation most, and what a credible route into the next phase looks like.

An hour with one of the partners, where we get to know your organisation and you get to know us. No obligation, no sales pitch.