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Reference architectures, planning guides and review worksheets for AI, data platforms and software modernization. Use them to align your team before implementation.
Find your resource ↓A practical working session
01
Map the workflow, sources and constraints.
02
Compare the architecture and operating choices.
03
Use the worksheet to capture evidence, owners and open questions.
Guide + review worksheet
Enterprise AI succeeds when the model is connected to a useful workflow, trusted data, measurable evaluation, controlled access, human ownership, and production operations. The implementation challenge is the system around the model.
Take away: A workflow brief, evaluation gate and operating ownership map.
Guide + review worksheet
Enterprise retrieval-augmented generation depends on much more than connecting an LLM to a vector database. Reliable systems need controlled ingestion, retrieval, permissions, context assembly, citations, evaluation, observability, and clear ownership across the full pipeline.
Take away: A source-to-answer design with separate retrieval and response evaluation.
Guide + review worksheet
Production LLM evaluation needs repeatable datasets, task-specific criteria, human review, automated checks, regression testing, and monitoring. A model that produces convincing answers is not automatically producing correct or useful ones.
Take away: A representative evaluation set, scoring rubric and release comparison process.
Guide + review worksheet
A modern data platform connects ingestion, storage, transformation, orchestration, governance, observability, analytical models, and serving layers into a system that can support reporting, applications, analytics, and AI.
Take away: A layered platform design with data ownership, quality contracts and serving requirements.
Guide + review worksheet
A warehouse migration is not simply moving tables between platforms. Models, transformations, reports, pipelines, permissions, schedules, dependencies, and business definitions all need to survive the transition.
Take away: A migration inventory, validation plan and staged cutover decision.
Guide + review worksheet
Legacy modernisation should begin with application value, risk, dependencies, operational pain, and future requirements. Rehosting, replatforming, refactoring, rebuilding, replacing, and retiring are different tools for different systems.
Take away: A workload decision record and a dependency-aware modernization sequence.
Bring your completed worksheet, architecture questions or unresolved constraints. We can discuss the work needed to move from a planning decision to an implementation.
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