Current-state assessment · Target data/AI architecture · Prioritized use-case portfolio

A focused engagement to align your executives, data leaders, and builders on a practical, investable plan for AI. We assess where you are today, design the target data+AI foundation you need, and produce a prioritized portfolio of AI use cases with an executable roadmap.

• Organizations starting or rebooting AI initiatives
• Teams with fragmented data platforms or unclear AI ownership
• Leaders who need a crisp plan and buy-in across business, data, and IT

• Single source plan that aligns business value with technical reality
• Target data/AI reference architecture (cloud-agnostic, tooling-aware)
• Governance & risk model (privacy, security, responsible AI) baked in
• Prioritized use-case portfolio with 3–5 lighthouse candidates
• 90-day quick wins and 12–18 month roadmap with dependencies
• Executive narrative to socialize and fund the plan

1. Current-State Report
   
   • Data landscape map (sources, pipelines, platforms, ownership)
   • Maturity assessment across data management, MLOps/LLMOps, governance
   • Pain points & constraints (quality, access, latency, skills, cost)

1. Target Data/AI Architecture
   
   • Logical & physical reference architecture (ingest, storage, processing, semantic layer, feature store, model serving, observability)
   • Build vs. buy guidance per layer (incl. LLM/Vector, MLOps/LLMOps)
   • Security, compliance, and privacy controls (incl. RAI guardrails)

1. Use-Case Portfolio & Business Alignment
   
   • Long-list sourced from stakeholders and data opportunity scans
   • Prioritization matrix (value, feasibility, data readiness, risk)
   • 3–5 lighthouse use cases with value hypothesis & success KPIs

1. Execution Roadmap
   
   • 90-day quick wins (enablers + pilot use cases)
   • 12–18 month program plan (workstreams, milestones, dependencies)
   • RACI, operating model, and change-management plan

1. Executive Pack
   
   • Vision, investment thesis, risk posture, and decision asks
   • Visual summaries for Board/C-suite and working-team playbooks

Week 1–2: Discover & Diagnose
Interviews/workshops with business and tech leaders; environment & data scans; governance and risk review; baseline maturity scoring.

Week 3–4: Design & Validate
Draft the target architecture; compile the use-case long-list; score/prioritize; define lighthouse candidates; confirm governance model.

Week 5–6: Roadmap & Mobilize
Finalize portfolio and architecture; build the 90-day plan and 12–18 month roadmap; prepare the executive narrative and delivery plan.

(Timelines can compress/expand based on scope and stakeholder availability.)

• Access to key stakeholders (business, data, security, legal)
• Read-only visibility into current data platforms and pipelines
• Existing strategy docs, architectural diagrams, and policy standards

• Agreed target architecture and operating model signed off by data, security, and business owners
• Prioritized portfolio with quantified value hypotheses and readiness scores
• Approved 90-day plan with owners, budget categories, and KPIs

• Value drift: tie each use case to measurable business KPIs
• Data gaps: include quality uplift and data product backlogs in the plan
• Model/LLM risk: apply RAI guardrails, evaluation, and monitoring from day one
• Tool sprawl: rationalize platforms with explicit build/buy decisions

• Lighthouse pilot delivery (from plan to working demo)
• Data quality uplift sprint & semantic layer/feature store setup
• Vendor/tool selection & contracting support
• Responsible AI policy, evaluation harness, and red-team playbooks
• Skills enablement for product, data, and engineering teams

We combine executive-level strategy with hands-on delivery DNA. You’ll get a clear, actionable plan—not a shelf-ware deck—and a path to demonstrable value in the first 90 days.

Reply with your goals and current stack (cloud, data tools, security constraints) and we’ll schedule a 30-minute scoping session to tailor the blueprint to your organization.