AI readiness for an industrial manufacturer
Executive alignment, data maturity review, and a 90‑day roadmap to prioritise predictive maintenance and quality inspection.
Outputs: use-case scoring, architecture options, risk register, delivery plan.
Work
Anonymised examples that show the shape of outcomes and deliverables.
GPU-accelerated analytics for graph workloads
Designed a scalable approach to real-time graph insights, focusing on throughput, cost, and operational reliability.
Outputs: reference architecture, performance benchmarks, deployment guidance.
LLM-enabled service desk assistant
Defined evaluation criteria, guardrails, and a pilot that integrated with knowledge bases and ticket workflows.
Outputs: evaluation report, prompt/policy patterns, operational runbook.
How results are measured
- Value: cost reduction, cycle-time improvement, revenue uplift, risk reduction
- Feasibility: data readiness, integration complexity, change impact
- Reliability: evaluation metrics, monitoring, incident readiness
What clients typically say yes to
A small engagement that creates clarity, then a focused delivery project that proves value.