1. Scope & acceptance criteria
Define what ‘good’ looks like, including measurable KPIs and constraints.
Pilot‑to‑Production Build
Deliver one high-value AI use case end-to-end, with production design from day one.
⏱️ 6–12 weeks (depending on scope and data readiness) 🎯 Best for: teams ready to ship a real AI solution
Outcomes
- A working solution that proves value using your data
- Evaluation results you can trust (metrics, baselines, acceptance criteria)
- A production-ready architecture path (security, monitoring, lifecycle)
- Clear scale plan: cost, performance, and organisational ownership
What you get
- Solution blueprint (data → model → integration → ops)
- Prototype / pilot implementation with documented codebase
- Model and/or LLM evaluation report (incl. guardrails where relevant)
- MLOps/LLMOps plan: monitoring, drift, retraining, incident response
- Handover pack: runbooks, decision logs, and next iteration backlog
How it works
Clear phases, short cycles, and documentation that your team can keep using after the engagement.
Available in workshop-led, hybrid, or async-first formats depending on leadership availability.
Delivery steps
2. Data & pipeline
Build or refine pipelines, quality checks, and training/serving datasets.
3. Build the solution
Model/LLM selection, training/inference, and integration into workflows.
4. Evaluate & harden
Testing, evaluation, security review, and performance/cost analysis.
5. Operate
Monitoring, alerts, governance hooks, and a handover to internal owners.
6. Scale plan
Roadmap to broaden coverage, automation, and organisational adoption.
FAQ
Do you work with LLMs and agentic systems?
Yes—where appropriate. The approach is always use-case first: value, safety, cost, and maintainability drive the choice.
What tech stack do you use?
Vendor-neutral. I can work with your existing stack (cloud/on‑prem) and recommend pragmatic tooling choices.
Can my team be involved?
Strongly encouraged. Delivery is structured for knowledge transfer and reusability.
Next step
If this looks like the right fit, let's discuss your context and desired outcomes.