AI in.
Excuses out.
AI beyond pilots and slides.
Enabling your team, building enthusiasm.
Impact, not shelfware.
Why Now?
Every month without adoption burns money — the licences are running, the returns aren’t. And competitors aren’t waiting: the ones moving on adoption now are opening a gap that’s hard to close. The problem isn’t AI. It’s how long you sit on it.
01
Shelfware
You’re already paying for the licences. Copilot, ChatGPT, automation tools — the cheque has gone out. ROI only kicks in when people actually use them. Every month without adoption is money spent for nothing.
02
Wrong Tool, Lost Trust
Pick the wrong tool and you fight on two fronts — the technology, and the scepticism it creates. The real cost isn’t the licence. It’s the trust you don’t get back.
03
The Real Edge: Adoption
Anyone can buy the tool. What competitors can’t copy: a team that uses AI better than they do. Adoption is what turns an expensive licence into a real advantage.
Offering
Adoption has three levers: strategy, skills, culture. wirkt.ai delivers on all three.
Orientation
Which tools fit — and which don’t. Mapping your processes and pinpointing the use cases with the most leverage. No vendor bias, no slide deck that ends up in a drawer.
Enablement
Training and clear policies are the foundation. The wirkt.ai Helpdesk is the differentiator: when someone gets stuck, an AI expert is on the line within one business day.
Culture
Lasting adoption doesn’t come from a one-off training. It happens when leaders use AI visibly, the company keeps talking about it, and the people doing the work pick it up themselves.
Services at a Glance:
Management Workshops
Strategic workshops with your leadership team. Outcome: Top 3–5 levers with a rough cost/benefit assessment.
Training
No shortage of AI training options out there. wirkt.ai helps you pick the right providers and formats — and delivers specific topics in-house when that’s the better call.
Communication
Use-case sharing, ambassador programme, feature updates — AI stays visible in day-to-day work, and stays in the right light.
AI Audit
A clear picture of where your company stands compared to similar organisations. Recommendations for quick wins and mid-term projects.
Guidelines / Compliance
Clear guidance on AI usage policies, the EU AI Act, and data privacy. Compliance shaped to your risk appetite.
Leadership Coaching
1:1 coaching for managers and team leads. So leaders use AI visibly themselves — nothing else moves the room as much.
Tool Selection
A current view of the tools out there — strengths, weaknesses, fit. So you pick the right ones and make them stick.
wirkt.ai Helpdesk
Pay-per-use support for AI questions in daily work. An expert for the exact tool you’re using — within one business day.
Team Workshops
Deep-dive with a department’s team. Outcome: 2–3 concrete use cases — plus the buy-in that comes from being part of the work.
(Fractional) CAIO
Owning AI transformation as your Chief AI Officer. All three levers — orientation, enablement, culture. Sets priorities, drives execution. Until AI is part of how you work.
Where Do You Stand?
Just Getting Started
You see countless AI solutions and wonder which ones actually make sense for your organisation?
Where to start: An orientation workshop or AI audit — top 3–5 levers and quick wins, clearly prioritised.
Not Sure About the Right Tools
Copilot is rolled out, maybe one or two other tools. The real question: are they delivering what they promised — or are you paying for licences nobody actually uses?
Where to start: Tool review and use-case sharpening. Keep what works, replace what doesn’t, add what’s missing.
Right Tools, Low Adoption
Tools are in place, training is done, the strategy is set. But only the usual suspects are using AI. Most people are going through the motions — or staying on the sidelines.
Where to start: Help where the work actually happens — not another training. With the wirkt.ai Helpdesk, employees pull in AI experts on demand when they get stuck. On top: ambassador programme and leadership coaching.
Here’s How We Get Started:
1
Initial Consultation
Together, we see where you are, and work out the right next step. Honest read, no pitch.
2
Orientation & Tools
Management workshop or AI audit: identify levers, clarify the tool landscape, set priorities.
3
Enablement & Adoption
Training, wirkt.ai Helpdesk, ambassador programme, leadership coaching — until AI lands in everyday work and stays there.
Why wirkt.ai?
Most AI consultants know how to plan AI. Richard Seitz knows how to make AI work across an entire organisation — because he has done exactly that.
Founder
Richard Seitz didn’t consult on AI — he was accountable for it. As SVP Data & AI at ProSiebenSat.1, he led a company-wide AI transformation that didn’t end with a strategy, but with adoption at scale. Not as a consultant. As the one accountable for it landing.
Principles
Adoption Starts at the Top
AI transformation doesn’t work from the back seat. If leaders don’t visibly use AI themselves, nothing’s going to stick in the teams. Role-modelling beats any memo.
Employees Are the Solution, Not the Problem
When adoption stalls, the reflex is usually: another training, another policy, another restriction. Adoption actually happens when people get the time, space, and trust to try AI themselves — and when their wins get shared.
Tools Are a Means, Not an End
The most expensive licence is worthless if nobody uses the tool. Tool selection follows the use case, not the vendor’s sales pitch. Three adopted tools beat ten on the shelf.
“AI doesn’t fail on tech. It fails when people don’t come along. The pattern is the same everywhere.”
— Richard Seitz, Founder of wirkt.ai
Interested? Let’s talk.
Free first call. We figure out where adoption is stuck — and which next step has the most leverage.
Book a Call
Book a slot directly with our founder Richard Seitz
Send an Email
Send us an email — we’ll get back to you within 24 hours.
AI only works when everyone commits. Start now.
wirkt.ai Helpdesk — Experts on Demand
When an employee is stuck on a specific AI question, they get an expert for the exact tool they’re working with — within one business day.
Like an IT helpdesk — but with AI experts.
How it works
- Sessions of 30 to 90 minutes — the expert shows, explains, and lets the employee take over
- For particularly tough questions, the expert can put in dedicated research time with your sign-off — but the employee still does the work
- Expert pool by tool: Claude, ChatGPT, Copilot, n8n, Notion AI, and more
- Follow-up sessions available, each booked individually
- We collect what gets escalated and feed it back to you
Typical topics
- Prompts and workflows for specific tasks
- Building custom agents and automations
- Cost optimization — keeping agents and API costs in check
- Tool selection and combination
Pay-per-use
No subscription, no automatic top-ups. You pay for what’s used — nothing more.
What’s not included
No implementation on your behalf, no legal advice, no strategic consulting. When something is too big for a single session, you’ll get a heads-up — with a suggestion for the next step.
Common questions
“We have Microsoft and OpenAI support — isn’t that enough?”
Vendor support solves technical problems: licences, sign-on, bugs. What it doesn’t solve: How do I actually use this in my job? How do I get two tools working together? How do I build a workflow? That’s application coaching — and it’s exactly what’s missing from standard vendor support.
“We have an ambassador programme — do we even need the helpdesk?”
Ambassadors are strong multipliers for reach — they make AI visible, get things moving, help with standard questions. Where they hit their limits: tool depth (custom agents, n8n workflows, cost optimization), being available at the right moment, and their actual day job — which still has to get done. The helpdesk complements the ambassador programme — it doesn’t replace it.
“What does the expert see of our data?”
During a session, the expert sees what the employee shares — like with any IT helpdesk. Experts work technically through controlled guest access in the wirkt.ai infrastructure, not on their own systems. DPA and TOMs become part of the contract; all sub-processors are listed.
“Do we need the helpdesk long-term?”
Pay-per-use makes the question easy: need less, book less. In practice, standard questions taper off over time — while new ones come in (new tools, custom agents, cost optimization). The helpdesk grows and shrinks with demand.