A working system, not a roadmap
By the end of the engagement, something is running in production — owned by a person on your team, observable, and documented end to end.
Currently accepting new projects
Your AI Partner for the decisions that move the business.
I design and ship operational AI — workflow automation, copilots and BUY / WAIT / AVOID decision frameworks — that run inside your business from day one. No decks. No indefinite pilots.
What I deliver
- Workflow automation (n8n, APIs)
- Domain-specific AI copilots
- BUY / WAIT / AVOID decision frameworks
- Internal AI operations dashboards
The Gap
Most companies don't fail at AI. They fail at operationalizing it.
Tools, licenses and proofs of concept don't change how the business decides or operates. The missing layer is a working system: wired into the workflow, owned by a person, observable in production.
The Approach
Working systems, deployed and owned.
Every engagement ends with a system running on Monday morning, with documentation, observability and a clear owner — not a slide deck.
See the process Typical problems I solve
If one of these sounds familiar, we should probably talk.
- Teams drowning in repetitive email, classification or data entry that should never reach a human.
- The same recurring decision — vendor, partner, candidate, market — relitigated every week with no shared logic.
- Knowledge trapped in PDFs, drives and inboxes that nobody can search when it matters.
- AI pilots that demoed well, then quietly stalled before reaching production.
- Tools and licenses bought, but no working system anyone uses on Monday morning.
What changes when we work together
Concrete shifts — not promises.
Decisions get faster and more consistent
The recurring judgment calls — what to buy, who to engage, what to flag — move from tacit knowledge to a transparent system with a clear audit trail.
Hours come back to your team
Repetitive triage, classification, drafting and data movement get handed off to automations and copilots, so people focus on work that needs them.
AI stops being a sandbox
It becomes part of how the business actually operates — wired into your tools, governed by your rules, used every day.
Before / After
What the workflow looks like — before and after.
Before
After
Recurring decisions debated from scratch every week.
A clear recommendation with rationale and confidence, every time.
Manual triage of inbound email, contracts or requests.
Classified, enriched and routed automatically — humans only on exceptions.
Knowledge scattered across PDFs, drives and chats.
A private copilot that answers with citations from your own context.
AI pilots stuck in demos and slides.
Operational systems running in production with an internal owner.
Vendor lock-in and opaque tooling.
Open architecture, swappable models, full source and runbooks handed over.
Core Services
Three practices. One outcome: AI that runs in production.
Workflow Automation
Production-grade automations with n8n and APIs that replace recurring manual work.
AI Copilots
Domain-specific assistants grounded in your data, your rules and your tone.
Decision Systems
BUY / WAIT / AVOID frameworks that turn recurring judgments into clear recommendations.
Selected Use Cases
Real workflows. Tangible outcomes.
Legal & Compliance
Contract triage copilot
Procurement
BUY / WAIT / AVOID engine for vendors
Executive
Weekly decision brief
Why clients work with me
A small number of engagements. Direct accountability for each one.
Senior-led, end to end
You work with me directly — from diagnosis to deployment to handover. No junior layer learning on your project.
Operational, not theoretical
25+ years inside operating models, partnerships and transformations. The systems I design reflect how the work actually happens.
Honest scoping
If AI isn't the right answer for your bottleneck, I'll say so. The first conversation is meant to clarify the problem, not to sell.
Owned by your team
Architecture, runbooks and source code are handed over. Your people can run, audit and evolve the system without depending on me.
Authority
25+ years turning ideas into executable systems.
International project management, strategic partnerships, operations and digital transformation. That background shapes the systems I design — pragmatic, observable, owned by the people who use them.
About me Start a Project
Tell me what's broken. I'll tell you honestly if I can help.
A short brief. A personal reply within 48 hours from me — not a sales sequence, not a chatbot. If it's a fit, the next step is a 30-minute call. If it isn't, you'll get a useful pointer.