cpdeol
Toolkit

Tools & methods

From LLM integration and solution architecture to stakeholder workshops and board-ready reporting — the full toolkit, mapped to every phase of delivery.

The tools we choose are secondary to the intent they serve — every artefact must earn its place in the delivery arc.

Guiding principle behind the toolkit

Strategic phases

Discover

Stakeholder interviews, process mapping, and problem framing before any solution is agreed — including supply chain and fulfilment discovery (warehouse-to-dispatch workflows, inventory truth gaps, and logistics partner handoffs) when programmes depend on physical operations.

BPMNUser story mappingProcess mappingStakeholder mappingRequirements workshopsGap analysisSupply Chain Visibility & FulfilmentMiroFigmaLLM-assisted research
Define

Translating discovery into structured requirements, business cases, and acceptance criteria.

MoSCoW prioritisationBusiness requirements (BRD)User storiesAcceptance criteriaBusiness case writingConfluenceJiraPower BI
Design

Architecture, data models, API contracts, and integration specs — with AI capability designed in from the start.

Solution architectureAPI designData modellingIntegration specsTypeScriptReact / Next.jsNode.jsPostgreSQLAWSDockerFigmaOpenAI APIClaude APILangChain

Execution phases

Deliver

Agile execution, backlog ownership, UAT, and AI agent workflows that accelerate the delivery loop.

Agile / ScrumPRINCE2Backlog managementUATDefect triageAI agent workflowsLLM orchestrationVercelGitHub ActionsCypressPlaywright
Adopt

Training, communications, and change management that turn deployed capability into used capability.

ADKARProsciTraining designCommunication planningStakeholder engagementServiceNowSalesforceRollout planning
Value

KPIs tracked, outcomes evidenced, and the platform positioned for the next investment decision.

KPI definitionValue architectureOKR alignmentAdoption metricsPower BIExecutive reportingBusiness case retrospective

Need a clean engagement plan?

The right artifacts at the right phase — from problem framing and AI-native architecture through to adoption and value reporting.