readiness.score(dimensions=["data", "tech", "org", "governance", "leadership", "horizon"]) overall: 61% stage: 3 of 4 next_move: "run a data inventory" readiness.score(dimensions=["data", "tech", "org"])

Azure OpenAI · Copilot Studio · Azure AI Search · Microsoft Fabric · Purview · Entra · Power Automate · SharePoint Premium · Dataverse · Azure ML · Azure OpenAI · Copilot Studio · Azure AI Search

System: You are an operations assistant. Answer only from the approved knowledge base. If the answer is not in the retrieved documents, say so and route the question to a human reviewer. Cite every source. System: You are

data_inventory.csv (owners assigned: 3 of 11) single_source_of_truth: false crm_export_FINAL_v3.xlsx duplicate_records: 18% last_cleanup: unknown api_access: partial data_inventory.csv (owners assigned

AI usage policy · acceptable use · sensitive data classification · least-privilege access · human-in-the-loop · model risk review · retention · audit logging · NIST AI RMF · ISO 42001 · AI usage policy

q12: "Who would own an AI initiative internally?" answer: "no clear owner" champion: unassigned exec_sponsor: CEO training_budget: pending q12: "Who would own an AI initiative internally?" answer:

embeddings = client.embeddings.create(model="text-embedding-3-large", input=chunks) index.upsert(vectors) retriever.k = 8 eval.groundedness: 0.94 answer_relevance: 0.90 embeddings = client.embeddings

pilot → measured use case → governed rollout → trained champions → production (90-day entry plan) pilot → measured use case → governed rollout → trained champions → production (90-day

meeting notes: "everyone is trying ChatGPT on their own" shadow_ai_tools: 7 licenses_purchased: 120 licenses_active: 34 success_metric: TBD meeting notes: "everyone is trying ChatGPT on their own"

copilot_readiness_check --tenant contoso oversharing_sites: 23 sensitivity_labels: partial mfa: enforced conditional_access: on copilot_readiness_check --tenant contoso oversharing_sites: 23 sensitivity

use_case_backlog: 41 prioritized: 0 high_value_candidates: ["invoice matching", "RFP drafting", "field service knowledge bot", "quote generation"] use_case_backlog: 41 prioritized: 0 high_value

strategic_horizon: 18 months competitors_using_ai: "some" board_asks_about_ai: quarterly budget_line: proposed roadmap: draft v2 strategic_horizon: 18 months competitors_using_ai: "some" board_asks

SELECT customer_segment, AVG(margin) FROM orders GROUP BY customer_segment; -- 3 days to answer by hand dashboards automated: 2 of 9 SELECT customer_segment, AVG(margin) FROM orders GROUP BY

curious explorer → foundation builder → emerging operator → strategic operator (six dimensions, 32 questions, about 10 minutes) curious explorer → foundation builder → emerging operator

response = agent.run("summarize open service tickets by site") tokens: 2,431 latency_p95: 910ms guardrails: PASS pii_redaction: on response = agent.run("summarize open service tickets by site") tokens:

readiness.score(dimensions=["data", "tech", "org", "governance", "leadership", "horizon"]) overall: 61% stage: 3 of 4 next_move: "run a data inventory" readiness.score(dimensions=["data", "tech", "org"])

Azure OpenAI · Copilot Studio · Azure AI Search · Microsoft Fabric · Purview · Entra · Power Automate · SharePoint Premium · Dataverse · Azure ML · Azure OpenAI · Copilot Studio · Azure AI Search

System: You are an operations assistant. Answer only from the approved knowledge base. If the answer is not in the retrieved documents, say so and route the question to a human reviewer. Cite every source. System: You are

data_inventory.csv (owners assigned: 3 of 11) single_source_of_truth: false crm_export_FINAL_v3.xlsx duplicate_records: 18% last_cleanup: unknown api_access: partial data_inventory.csv (owners assigned

AI usage policy · acceptable use · sensitive data classification · least-privilege access · human-in-the-loop · model risk review · retention · audit logging · NIST AI RMF · ISO 42001 · AI usage policy

q12: "Who would own an AI initiative internally?" answer: "no clear owner" champion: unassigned exec_sponsor: CEO training_budget: pending q12: "Who would own an AI initiative internally?" answer:

embeddings = client.embeddings.create(model="text-embedding-3-large", input=chunks) index.upsert(vectors) retriever.k = 8 eval.groundedness: 0.94 answer_relevance: 0.90 embeddings = client.embeddings

pilot → measured use case → governed rollout → trained champions → production (90-day entry plan) pilot → measured use case → governed rollout → trained champions → production (90-day

meeting notes: "everyone is trying ChatGPT on their own" shadow_ai_tools: 7 licenses_purchased: 120 licenses_active: 34 success_metric: TBD meeting notes: "everyone is trying ChatGPT on their own"

copilot_readiness_check --tenant contoso oversharing_sites: 23 sensitivity_labels: partial mfa: enforced conditional_access: on copilot_readiness_check --tenant contoso oversharing_sites: 23 sensitivity

use_case_backlog: 41 prioritized: 0 high_value_candidates: ["invoice matching", "RFP drafting", "field service knowledge bot", "quote generation"] use_case_backlog: 41 prioritized: 0 high_value

strategic_horizon: 18 months competitors_using_ai: "some" board_asks_about_ai: quarterly budget_line: proposed roadmap: draft v2 strategic_horizon: 18 months competitors_using_ai: "some" board_asks

SELECT customer_segment, AVG(margin) FROM orders GROUP BY customer_segment; -- 3 days to answer by hand dashboards automated: 2 of 9 SELECT customer_segment, AVG(margin) FROM orders GROUP BY

curious explorer → foundation builder → emerging operator → strategic operator (six dimensions, 32 questions, about 10 minutes) curious explorer → foundation builder → emerging operator

response = agent.run("summarize open service tickets by site") tokens: 2,431 latency_p95: 910ms guardrails: PASS pii_redaction: on response = agent.run("summarize open service tickets by site") tokens: