01 OF 07
Data foundations
Get customer, product, and operating data to agree across your systems.
Source-system assessment and data architectureMaster data, product hierarchies, and entity matchingData pipelines and application integrationQuality checks, ownership, and source traceability
DELIVERABLES
Cleaned and mapped data for the selected use cases, monitored connections, and a list of issues still to resolve.
EXPLORE THE FOUNDATIONS →02 OF 07
AI strategy and investment planning
Rank AI projects by value and feasibility, then decide what to build first.
Opportunity assessment across business functionsBusiness cases and financial reviewTechnical feasibility and data-readiness checksProject priorities, intake, and approval criteria
DELIVERABLES
A ranked project list, a business case for each priority, and a plan showing who does what and what must happen first.
03 OF 07
AI and application delivery
Put forecasts, document processing, and AI assistance into the tools your team uses every day.
Forecasting, prediction, and optimizationDocument processing, search, and knowledge assistantsAI-assisted workflows with defined limits on automated actionsApplication integration, production testing, and performance measurement
DELIVERABLES
Tested applications in production, with monitoring, support instructions, and performance measures.
04 OF 07
Platform engineering and AI operations
Give engineers shared tools for testing, releasing, and supporting applications.
Cloud and data-platform architectureAutomated testing, deployment, and release controlsReusable pipelines and engineering templatesApplication and model monitoring, maintenance, and cost controls
DELIVERABLES
Reusable infrastructure and release tooling, with instructions for the engineers who will maintain them.
05 OF 07
AI governance and risk controls
Decide what AI can do, who approves it, and what happens when it gets something wrong.
AI-use policies and accountable ownersUse-case assessment and approval requirementsData access, privacy, and model-risk controlsRelease evidence, review records, and ongoing oversight
DELIVERABLES
Rules teams can apply during delivery, named approvers, and records of the checks behind each release.
06 OF 07
Operational knowledge systems
Capture the reasoning behind the job, including the exceptions experienced people know to look for.
Expert interviews and observation of workDecision rules, exceptions, and operating contextSearchable case libraries and knowledge systemsGuided workflows and expert assistants
DELIVERABLES
A searchable library of reviewed cases and guidance, with an owner responsible for updates.
07 OF 07
Operating model and handover
Prepare your team to run and maintain the system after handover.
Team structure, roles, and capability planningIntake, prioritization, and delivery standardsTraining, adoption, and knowledge transferOperating procedures and handover readiness
DELIVERABLES
A team prepared to run the system, with assigned responsibilities, training, and a handover plan.