Six entry points — depending on where it hurts.

Every engagement starts with a clear analysis and ends with a concrete result. No framework contract, no upselling — you commission what you need.

01

Firefighting & Root-Cause Analysis

When your systems are down and your team is stuck. Pattern-recognition from decades of mission-critical systems — I isolate, resolve, and hand over.

  • Rapid triage and incident containment
  • Cross-domain root-cause analysis
  • Post-incident debrief and hardening
Details →
02

Invisible to AI?

ChatGPT, Perplexity and Google AI Overviews are becoming how people find services. Most business websites are invisible to them — blocked by bot protection, missing structured data, or simply unreadable by AI. You lose deals you never knew existed.

  • AI crawler audit: who can see you, who can't
  • Structured data, schema and content optimisation
  • Monitoring: track your AI visibility over time
Details →
03

Systems Architecture

Current-state mapping, target architecture and migration roadmap. From tool sprawl to a system that fits.

  • As-is mapping and dependency chart
  • Target architecture and technology selection
  • Migration path with risk assessment
Details →
04

Local AI — Kim

Document analysis, knowledge extraction and decision support — local, without cloud dependency.

  • Runs on your infrastructure
  • Pilot workflow in weeks, not months
  • No software sales — implementation and customisation
More about Kim →
05

Security That Survives Audit

Risk analysis, protection measures, backup validation and recovery planning. Not hope — a plan that holds under scrutiny.

  • Vulnerability analysis and risk assessment
  • Backup tests and recovery drills
  • Prioritised action plan
Details →
06

AI That Survives Production

Most AI projects fail because they try to replace processes instead of strengthening them. Useful AI is embedded in deterministic workflows — it handles the fuzzy parts (classification, extraction, summarisation), while structured code handles validation, routing and storage.

  • Process analysis: where does AI add real value?
  • Pilot design: AI components in existing workflows
  • Guardrails built in — not hallucination, but reliable output
Details →

Typical Starter Packages

Package Result Timeframe
Incident Response Triage, root-cause analysis, resolution, debrief 1 – 5 days
AI Visibility Audit Crawler access report, structured data gaps, action plan 2 – 4 days
Architecture Review As-is analysis, target architecture, migration path 5 – 10 days
Kim Feasibility Feasibility analysis, pilot design, resource planning 3 – 8 days
Security Check Risk assessment, quick wins, 30/60/90-day plan 3 – 7 days
AI Process Fit Process map, AI candidate identification, pilot spec 3 – 7 days

Book an introductory call

Free 20-minute conversation — phone or video. No sales pitch.
Short engagements (2–10 days) or defined support packages.

Book an introductory call