Practical AI implementation, with a return you can see
I put AI where it genuinely pays off. Through training, audits and advisory, I help companies work faster, cleaner and smarter. My bias is towards practical implementation and results you notice immediately — no theorising, no chaos, concrete business value.
Go-to-market and the processes underneath it
This is where I do my best work — and where most AI spending goes to die. Companies point AI at the visible
layer: writing the emails, summarising the calls, generating the content. Underneath, the pipeline stages
mean different things to different people, leads sit in a gap between marketing and sales for four days, the
CRM has three fields for the same thing, and nobody has written down what “qualified” means.
Automating that doesn’t fix it. It scales it. So I work both layers, in order: make the revenue process
legible, then apply AI where it compounds.
Revenue process mapping
The full journey from first touch to closed and renewed. Stage definitions, exit criteria, owners, and every handoff where things currently fall over.
Funnel & pipeline hygiene
Qualification rules that hold, forecast inputs you can trust, CRM fields people actually fill in because they’re worth filling in.
GTM automation
Research, enrichment, routing, follow-up, call notes and reporting. Applied to a process that works, so the gains stick.
Enablement for revenue teams
SDRs, AEs, marketing and CS trained on the workflows for their role, using your data and your deals. Not a generic prompt library.
What you get: a mapped GTM process, a list of the friction points ranked by cost, and a 90-day plan splitting them into “fix the process” and “automate it.”
Two ways this ends
Most engagements start the same way — an audit, a process map, a ranked list of what’s costing you money.
Where they go next depends on what the answer turns out to be.
If the fix is process and configuration, I do it. Automations, CRM architecture, SOPs, dashboards, and
training your team so it runs without me. Weeks, not quarters.
If the fix needs software built, I bring in Yameo — a Dutch–Polish software house that has been
delivering enterprise systems for banking, insurance and healthcare since 2006. Fixed price, fixed date, signed
SLA. I’m an Associate Partner there, and I stay on the engagement as the person who owns whether it actually
solves your problem.
You’re never handed off to strangers, and you’re never sold a build you didn’t need.
I do this myself — DNA4Digital
GTM and revenue process design
Process mapping, SOPs, KPIs
AI readiness audits and roadmaps
Low-code automation (n8n, Zapier, HubSpot)
Training and enablement
Dashboards and reporting (Looker Studio)
I bring in the team — via Yameo
Custom software and platform builds
System integrations and migrations at scale
Regulated-industry work needing compliance sign-off
Anything needing an engineering team for months
Fixed-price, fixed-date, SLA-backed delivery
Long-term embedded development partnership
The rule of thumb: if it can be done with configuration, I do it. If it needs code, engineers and a signed SLA, Yameo builds it and I stay on as the person who owns the outcome.
Training and workshops
I build practical programmes around the roles and processes that exist in your company. We work on your real data and your real tasks, so people can use AI in their actual job the same week. Knowledge plus practice — measurable, and fast.
Marketing & sales
Funnels, content, research, analytics, CRM support: a set of ready-to-run workflows.
Operations & administration
Document standardisation, order in procedures, quality control and automation.
HR & knowledge
Onboarding, knowledge repositories, policies and SOPs. AI in the service of people.
Audits
I analyse your processes and your data to find where AI will pay back first. You get a practical implementation plan that lets you act strategically and hit measurable results — without chaos and without unnecessary complexity.
After the workshop you leave with priorities, a process map and tool recommendations.
Consulting
I implement AI end to end — from quick wins to durable working standards. Automations, AI assistants, knowledge repositories and SOPs, so the technology genuinely supports the business. Practical and strategic in equal measure, so every change earns its keep and every implementation fits how your organisation actually operates.
Quick wins
ROI mapping and the first automations that give your team its time back.
Assistants & automation
Prompt design, policies and integrations. Stable, auditable workflows.
Knowledge repos & SOPs
Standardised documents, policies and checklists — knowledge that’s current and easy to find.