AI Integration & Knowledge Management
Make AI investments that deliver real business value
Generative AI creates real productivity gains, but only when implemented with structure and accountability. Unreflective adoption creates new risks: hallucinations presented as facts, institutional knowledge locked in black-box tools, and compliance exposure in regulated environments.
I help organisations identify where AI genuinely fits, evaluate feasibility and compliance implications, and build production-ready solutions. My approach is deliberate: I use AI tools extensively in my own work and have a practitioner’s understanding of where they accelerate and where they fail.
Knowledge management is one of the most concrete and high-value AI use cases for organisations with complex, fragmented information landscapes, making internal documentation searchable, building assistants that draw on actual company knowledge, and structuring information so it can be found and used when needed.
| Package | Scope | Deliverable |
|---|---|---|
| AI Readiness Assessment | 5–10 days | Written assessment with concrete recommendations |
| Knowledge Management with AI | RAG systems, semantic search, internal assistants | Production-ready solution on your infrastructure |
| AI Integration Projects | Generative AI features in existing systems | Full integration including governance and monitoring |
What I don’t do: Not every problem needs AI. I will tell you when a traditional solution is the better fit, and I won’t recommend lock-in to proprietary platforms without clear justification. Full accountability for what I build, no “the algorithm decided” stance.
For whom
- Leaders evaluating where AI actually fits in their organisation
- Companies with fragmented internal knowledge
- Regulated environments needing AI governance and accountability
- Teams replacing brittle automation with deliberate LLM use
What you get
- AI readiness assessment with concrete recommendations
- RAG-based knowledge management systems
- Production-ready AI features with governance and monitoring
- Decision frameworks for "AI or not?"
How we work
- Use-case discoveryWhere AI fits, and where it doesn't
- Feasibility & complianceTechnical viability and regulatory implications
- PrototypeSmall, measurable, throwaway-OK
- Production hardeningGovernance, evals, monitoring
- OperateContinuous evaluation and drift monitoring
Engagement format
Readiness assessment (1–2 weeks) → prototype (2–4 weeks) → production · phased commitment
Ready to discuss your project?
Book a 30-minute intro call. No obligation, no sales pitch.