AI Solutions & Enablement Lead
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- Discover and frame: understand AI, find the right use cases and build the value case
- Prototype and integrate: build grounded, connected pilots and prove they work
- Deploy and scale: secure, measure and operate AI so adoption lasts
Benchmark: Enterprise AI solutions and enablement roles (current Oct 2026): translate enterprise AI opportunities into secure, usable solutions; enable stakeholders and measure realized business value. Market refresh: AI/LLM fundamentals; use-case discovery and process mapping; stakeholder interviews and value hypotheses; data readiness and responsible AI; RAG, agent workflows, MCP and API integration; Microsoft Copilot Studio; solution demos, pilot design and evaluation datasets; identity and access, prompt-injection defense and governance; observability, LLM evaluation and cost/latency; operating models and change management.
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Enrichment
Discover and frame: understand AI, find the right use cases and build the value case
AI/LLM fundamentals, data readiness + responsible AI
Coverage: AI Fundamentals / Data Readiness / Responsible AI
Use-case discovery, process mapping, stakeholder interviews + value hypotheses
Coverage: AI Use-Case Discovery / Process Mapping / Business Value
Prototype and integrate: build grounded, connected pilots and prove they work
RAG, agent workflows + evaluation datasets
Coverage: RAG / AI Agents / Solution Demos
MCP, API integration, Copilot Studio + pilot design
Coverage: MCP / APIs / Microsoft Copilot Studio / Pilots
Deploy and scale: secure, measure and operate AI so adoption lasts
Identity and access, prompt-injection defense + governance
Coverage: AI Security / Identity / Governance
LLM evaluation, observability, operating model + change management
Coverage: AI Evals / Observability / Operating Models / Change Management
Role-Readiness Proof / Capstone
Select an enterprise workflow, document its baseline and ROI case, and design a reference architecture. Build a secure RAG or agent pilot, run quality and security evaluations, deliver training and an adoption playbook, measure results against the baseline, and present executive recommendations.
Proof Rubric
- Show realized business value, not a demo: an opportunity assessment with a documented baseline and value hypothesis
- a solution architecture with clear data, identity and integration boundaries
- a working prototype
- an evaluation report covering quality, failure cases, cost and latency
- a security checklist including prompt-injection defenses
- an enablement plan and training
- an adoption dashboard
- and an executive ROI readout that states what worked, what didn't and the recommended next step