Status quo · late 2026
What has changed — and why it matters now
How we approach it
Our method for AI Transformation Blueprint
01Ambition & baselineWhere AI-first means for you; maturity baseline from the readiness assessment.
02Target Operating ModelRoles, decision rights, funding, CoE vs federated, vendor strategy.
03Enterprise AI architectureReference architecture: data layer, model access, agent platform, gateway, evaluation, observability, security.
04Governance layersAIMS (ISO 42001), risk tiers, human oversight, policy enforcement points.
05Roadmap & business caseWaves, dependencies, cost model, benefits tracking.
In depth
Blueprint layers
Experience
Copilots, chat, embedded AI, agent UIs.
Agents & orchestration
Single agents, multi-agent systems, workflow engines, memory.
Model access
AI gateway, routing across Anthropic / OpenAI / Google / open-weight, caching, cost control.
Knowledge & data
Lakehouse, vector and graph stores, data products, access control propagated to retrieval.
Trust
Evaluation, red teaming, guardrails, observability, audit.
What you get
Deliverables
AI Target Operating ModelMaturity baselineEnterprise AI architectureSkills planGovernance layersRollout roadmap
Technology-agnostic
Platforms we work across
We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.
Microsoft Azure AI Foundry & Copilot StudioAWS Bedrock AgentsGoogle Vertex AI Agent BuilderAnthropicOpenAIGoogle GeminiLangGraphSemantic Kernel
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