Simplify first, then invest where value is clear
Reduce duplication, prioritise high-value AI use cases, strengthen Cloud economics and introduce practical governance without slowing delivery.
AI strategy, readiness and responsible adoption
AI consulting should start with a business problem, not a licence purchase. I help identify useful generative AI opportunities, assess data readiness and compare expected benefit with implementation and ongoing operating costs. The output is a prioritised set of use cases, a practical delivery plan and clear measures of success.
Responsible AI governance covers ownership, access, data handling, human oversight and a way to evaluate results before wider adoption. Microsoft 365 Copilot, Google Gemini and other AI tools should be assessed against the work people actually need to do and the controls your organisation requires.
Agentic AI and workflow automation
Agentic AI automation uses AI agents to support multi-step work. I help assess where agents, conventional workflow automation or a simpler process change are the better option. Planning covers permissions, approval points, integration, exception handling and how to stop or reverse an unsuitable action.
A focused pilot can test an operational, customer-service or internal-support workflow before committing to a wider rollout. The aim is measurable improvement with accountable human ownership, not automation for its own sake.
Cloud cost optimisation and FinOps
Cloud strategy brings architecture and cost management together. I review AWS, Microsoft Azure and Google Cloud options, workload suitability, resilience and the economics of cloud, SaaS and retained infrastructure. FinOps and AI cost governance make spending visible and connect it to the business outcomes being delivered.
Explore cloud migration and legacy modernisation, platform engineering and DevSecOps, or my cloud, data and AI career case study.
Consultancy services
This service is provided by STUARTMCGROGAN LTD, led by Stuart McGrogan.
Registered in England and Wales under company number 17513081. Registered office: 71–75 Shelton Street, Covent Garden, London, WC2H 9JQ, United Kingdom.
Company information and contact details
When this is useful
- Cloud spend is increasing without a clear improvement in service or business value.
- AI pilots need stronger prioritisation, data readiness and a practical route into production.
What you receive
- A prioritised set of opportunities with success measures, costs and assumptions.
- Cloud and workload decisions covering retention, migration, consolidation and SaaS options.
- AI governance, data and security requirements, accountable ownership and a pilot-to-scale plan.
How we start
- Choose a business problem, establish the current cost or performance baseline, and assess the data, platforms and controls needed for a useful first result.