Pielen & Partner Contact

Expertise · Artificial Intelligence

Artificial intelligence that has proven itself in everyday life. And it makes economic sense.

We identify and realize AI applications where they create real value – with measurable benefits, transparent costs, and clear accountability. From initial evaluation to productive operation.

Credentials

Partnership

Celonis Certified Partner

Process Mining & Intelligence.

Experience

30+ years, 250+ projects

In complex programs, industry and finance.

What it's about

The demonstration works. Not the operation.

AI costs are increasingly becoming a significant cost driver. With each additional application, model, token, infrastructure, and operating costs increase, and these costs eat up part of the savings that were hoped for. Therefore, more AI applications do not automatically mean more efficiency.

If AI costs more than it saves, it is not an increase in efficiency.

What matters is the actual net economic benefit, not the number of AI solutions implemented. That’s why we calculate every use case before it is built and measure it further during its operation.

The figures confirm the pattern: in 2025, 42 percent of companies abandoned the majority of their AI projects; a year earlier, it was 17 percent. A second survey of 300 deployments found that 95 percent of organizations saw no measurable contribution to the bottom line from generative AI.

Sources: S&P Global Market Intelligence, Voice of the Enterprise 2025, reported by CIO Dive; MIT Project NANDA, The GenAI Divide, State of AI in Business 2025. Both figures are estimates, not a measurement of actual performance. The 95 percent refers to measurable output contribution, not to operational productivity.

Focus areas

Six places where we Create an effect.

Individually or as a cohesive program. You decide where to start.

We evaluate potential use cases based on their benefits, costs, feasibility, and return on investment, and present them in a clear order. The result is an economically sound AI roadmap: what is worth doing first, what can be delayed, and what is not worth the effort.
Not the indiscriminate introduction of new AI applications, but targeted automation where measurable savings can actually be made: evaluations, preliminary checks, initial responses, in the tools that your teams already use anyway. Decisions with consequences remain in the hands of a human.
Data architecture, governance, and quality assurance. Without this foundation, any forecast is just an opinion with decimal points.
Process Mining shows, using real process data, where time and money are actually being wasted. Based on this, we determine which automation is economically worthwhile and which is not before investing. As a certified Celonis partner, we provide support from analysis to implementation.
A directory of your AI applications, a risk classification for each use case, and the documentation required by the EU AI Regulation and the GDPR. Additionally, ongoing cost and benefit monitoring for each application to ensure that creeping increases in operating costs become visible early on.
Training and change management that makes teams curious enough to take action. This is, in our experience, the part where onboarding actually fails.

Our Approach

Five phases. Only what makes sense is scaled up.

After the pilot phase, a binding decision on go/no go will be made based on measured savings and costs. Only economically viable solutions will be implemented in the rollout.

  1. 01

    Assessment & Prioritization

    Analyzing processes, identifying AI potential, and economically evaluating application cases.

  2. 02

    Business Case & Solution Design

    Calculate ROI, define the architecture and suitable technologies.

  3. 03

    Pilotage & Validation

    Test the solution, measure actual savings and costs, and make a go-or-no-go decision.

  4. Go/No-Go Decision

  5. 04

    Implementation & Rollout

    Integration into existing processes and systems, scaling up, and empowering employees.

  6. 05

    Performance & Cost Tracking

    Ongoing monitoring of costs, benefits, and quality. Transferring the monitoring to you for independent control.

Figure: Process in five phases with a go/no-go decision after piloting and continuous cost and benefit control.

Business Value & Cost Control

Throughout all five phases, we compare costs and benefits. The assumptions from the assessment and business case are tested in the pilot and continued in operation.

How we work ourselves

We use that, What we recommend.

AI is not a product issue for us; it is part of our daily work. That is the reason why we can talk about operations and not just about demonstrations.

01

Our models run in European data centers using an inference profile specific to Europe. Global routing is not possible; we assess the target regions for each project individually.

02

Input and responses are not used for training the models and are not passed on to the model provider. This is contractually agreed upon, not just a house opinion.

03

Logging is turned on by default. When we turn it on, it writes only to our own account and the same region. For each model, we first check what storage the operator requires.

04

We work in short sprints with a deliverable at the end of each round, instead of specifying it over half a year. What doesn’t work is finished after one round, not after a year.

05

Time savings are achieved in places that no one likes to do: evaluations, summaries, preliminary checks, documentation. The assessment remains with the consultant, and that takes time.

The information regarding processing region, training usage, and logging applies to our own environment and is bound to its configuration. Your settings apply to projects in your environment; we will review them together.

Delivery model

A contact person, a contract, a responsibility.

We are open about this: we obtain the necessary development depth from specialized technology partners. Control, quality, and responsibility remain with us.

01

Pielen & Partner leads the way. We define the use case, manage the program, maintain customer relationships, and ensure quality. Thirty years of experience in complex programs is the reason why AI work at our organization comes to life and does not end in a presentation.

02

Certified partnership. For Process Mining and Process Intelligence, we provide certified Celonis partners with everything from the initial analysis to the actions that follow.

03

Development and operation. Agent development, model integration, and operation come from a specialized development partner that works within our delivery model under our project management and quality standards. Those who are in this situation individually are listed in the offer.

Industries

Where mistakes occur They are expensive.

Your Contact

Let's find the application case, one that is worth your time.

Thirty minutes, no slides. Bring a process that takes more hours than it should. We will openly tell you whether AI is the right answer for this.

Arrange a meeting info@pielen.com