Microsoft ISD · 2026
Responsible AI
Social Evaluation
A structured assessment framework that measures your organization's AI readiness across seven social and operational pillars and suggests the Microsoft technology stack for your unique context.
How to use this tool
Four steps to your personalized AI prescription
1
Assessment tab
Score each of the 35 questions on a scale of 1–5. Pillar averages, maturity level, and quadrant position are calculated automatically.
2
Tech Profile tab
Answer 6 Technology Context Profile questions (T1–T6) to capture your licensing baseline, build capacity, primary use case, and regulatory context.
3
Results tab
Your complete technology recommendation is generated automatically — core Microsoft AI stack, governance overlay, recommended entry point, and speed-to-value roadmap.
4
Share with Microsoft
Complete this assessment in advance of the workshop with Microsoft and use the consolidated results to identify areas of organizational alignment and divergence that require discussion, decision, and follow‑up actions.
Assessment Pillars
Seven dimensions of Social Architecture — scored 1 (Nascent) to 5 (Adaptive)
- 1 · Trust ArchitectureAxis A — Autonomy Readiness
- 2 · Governance & AccountabilityAxis A — Autonomy Readiness
- 3 · Workforce ReadinessAxis B — Org Complexity
- 4 · Process IntelligibilityAxis A — Autonomy Readiness
- 5 · Data & Knowledge InfrastructureAxis B — Org Complexity
- 6 · Value & Strategic AlignmentAxis B — Org Complexity
- 7 · Ethical & Regulatory PostureEthical Overlay
Social Architecture Assessment
Score each question 1 (Starting) to 5 (Adaptive) · 0 of 35 answered
⚠ Please answer all 35 questions before continuing to see your full prescription.
Technology Context Profile
Select one answer per question (A–E) to calibrate your prescription
Your Results
Based on your assessment scores and technology profile
Reference
Maturity model and ISD FY26 portfolio.
Please refer to Valeria Vitiello (vvitiello@microsoft.com), Luciano Raso (luraso@microsoft.com), Luca Di Biagio (lucadb@microsoft.com) for information.
Microsoft Agentic AI Adoption Maturity Model
Source:
learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/maturity-model-overview · Integrated into rAIse
| MS Level | Level Name | rAIse Level | Key Characteristics |
|---|---|---|---|
| 100 | Initial | Level 1 — Nascent | Unplanned, experimental, siloed. Capabilities are individual-dependent. |
| 200 | Repeatable | Level 2 — Emerging | Early patterns emerge. Activities are repeatable but informal and uneven. |
| 300 | Defined | Level 3 — Structured | Capabilities formally defined, governed, and aligned to business goals. |
| 400 | Capable | Level 4 — Integrated | Agents embedded in enterprise planning. Cross-team scaling supported. |
| 500 | Efficient | Level 5 — Adaptive | Agent-first enterprise. Continuously optimized, C-suite accountable. |
ISD FY26 Cloud & AI Platforms Portfolio
Five solution plays mapped to enterprise AI adoption phases
Platform Engineering
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Turn data into insights. Build a trusted, modern data platform.
Modernize the enterprise data estate to serve as a foundation for advanced analytics and AI/ML workloads. Deliver production-ready AI/ML solutions directly from the unified platform.
Innovate with AI Apps & Agents
AI Scalability & Governance
Operate AI at scale securely & responsibly
Establish a secure, governed, and operational foundation to manage AI/ML workloads at enterprise scale, ensuring they are monitored, cost-effective, and compliant.
Innovate with AI Apps & Agents
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Drive AI Transformation with AI Apps at Scale
Design and implement AI-powered applications where intelligence enhances the user experience and business workflows.
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Agentic AI Transformation
Let AI run things without users involved
Develop goal-directed, autonomous, or multi-agent AI systems that reason, plan, and act on behalf of users. Agents may coordinate with tools, memory, APIs, and external systems to perform high-level tasks with minimal human input.