AI implementation consulting for companies

AI that works in production — not just in a demo

I bring AI into companies where integration with real systems, data security, and stable maintenance matter. 18 years in backend engineering, systems integration, and high availability — now applied to AI.

years of backend and integration experience
18+
implementation levels — from audit to agents
6
minutes of a free diagnostic call
30

Not another demo that never reaches production

The competition is often prompt engineers and software houses building quick demos. My edge: 18 years of systems integration, high-SLA operations, monitoring, and infrastructure security — exactly what it takes for an AI implementation to survive its first week in production. On top of that, my Engineering Manager background means I can also talk through the organizational change, not just the technology.

From diagnosis to full process automation

Six levels of engagement — from a free diagnosis to end-to-end agentic implementations. We start wherever it makes sense for your company.

  1. 0. AI Readiness AuditA diagnosis of processes, data, systems, and team skills — no implementation yet. An entry point that fits any industry.
  2. 1. Point quick-wins2-4 weeks, low risk. A concrete, narrowly-scoped implementation with a measurable effect.
  3. 2. Communication vs. system-state analysisAutomatically comparing communication content (emails, orders) against ERP/CRM/WMS system state and flagging discrepancies.
  4. 3. Integration with internal systemsRAG and LLM integrations connected directly to CRM/ERP/ticketing and team collaboration tools.
  5. 4. Agentic implementations / end-to-end automationAn agent handling the entire process — from ticket triage to escalating to a human when needed.
  6. 5. AI strategy and building dedicated systemsA full audit, transformation roadmap, building a dedicated platform or agents, and retainer maintenance.
See the full implementation matrix

A clear offer, matched to your stage

Audit, pilot, implementation with maintenance, or strategic advisory — a concrete scope and pricing model for each stage of the engagement.

AI Audit

1-2 weeks

Fixed fee

A diagnosis of processes, data, and systems, ending in a report with recommendations and a prioritized list of quick wins.

Companies that want to know where AI actually pays off before investing in a specific implementation.

Pilot / PoC

2-4 weeks

Fixed fee

One concrete implementation from Level 1-2 of the matrix, with a measurable effect, built to be extended further.

Companies that want proof of value before deciding on a bigger implementation.

Implementation + maintenance

Depends on scope

Retainer or time & materials

Level 3-4 implementations from the matrix — internal system integrations, agentic automation — together with monitoring, SLA, and security.

Companies ready for an implementation that actually runs in production, not just in a demo.

Fractional AI Advisor

Monthly retainer

Fixed monthly retainer, low hourly commitment

Strategic advisory and team mentoring for AI adoption, without a full-time commitment.

Companies that want an experienced person on call for AI decisions, without hiring full-time.

See the packages

Let's talk about your process

30 minutes, no strings attached. Describe the problem and get a candid assessment of whether — and where — AI will actually help, and what it takes for the implementation to survive contact with production.

Book a free diagnostic call