# Enterprise AI Adoption Report 2026 — Implementation Workbook Version: 1.0 Published: 2026-07-27 Last updated: 2026-07-27 Owner: Rusaka Research Review frequency: Every 6 months ## Decision statement What decision must this workbook support? ________________________________________________________________________________ ## Scope and exclusions In scope: ________________________________________________________________________________ Out of scope: ________________________________________________________________________________ ## Baseline evidence register | Evidence item | Source | Date | Owner | Verified by | Status | |---|---|---|---|---|---| | | | | | | | | | | | | | | | | | | | | | ## Assumption register | Assumption | Rationale | Decision affected | Downside case | Test | Owner | Review date | |---|---|---|---|---|---|---| | | | | | | | | | | | | | | | | ## Options and decision criteria | Option | Outcome | Feasibility | Cost | Time | Risk | Reversibility | Recommendation | |---|---:|---:|---:|---:|---:|---:|---| | | | | | | | | | | | | | | | | | | ## Implementation plan | Phase | Entry evidence | Actions | Owner | Control | Exit evidence | Due date | |---|---|---|---|---|---|---| | 1. Operations — Enterprise AI Adoption Report 2026 | | During operations, use Enterprise AI Adoption Report 2026 to understand the market, operating context, and implications for decisions. Start with representative data, process volumes, error rates, human effort, current outcomes, and documented data rights. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a dated evidence pack, methodology, findings, and limitations. | | | 2. Discovery — Enterprise AI Adoption Report 2026 | | During discovery, use Enterprise AI Adoption Report 2026 to understand the market, operating context, and implications for decisions. Start with representative data, process volumes, error rates, human effort, current outcomes, and documented data rights. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a dated evidence pack, methodology, findings, and limitations. | | | 3. Design — Enterprise AI Adoption Report 2026 | | During design, use Enterprise AI Adoption Report 2026 to understand the market, operating context, and implications for decisions. Start with representative data, process volumes, error rates, human effort, current outcomes, and documented data rights. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a dated evidence pack, methodology, findings, and limitations. | | | 4. Pilot — Enterprise AI Adoption Report 2026 | | During pilot, use Enterprise AI Adoption Report 2026 to understand the market, operating context, and implications for decisions. Start with representative data, process volumes, error rates, human effort, current outcomes, and documented data rights. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a dated evidence pack, methodology, findings, and limitations. | | | 5. Scale — Enterprise AI Adoption Report 2026 | | During scale, use Enterprise AI Adoption Report 2026 to understand the market, operating context, and implications for decisions. Start with representative data, process volumes, error rates, human effort, current outcomes, and documented data rights. Name the accountable owner, the evidence reviewer, the decision deadline, and the output that proves this stage is complete. Record exclusions and unresolved questions rather than allowing them to disappear into narrative. The stage closes only when its evidence can be reproduced by someone who did not prepare it. | | | Required output: a dated evidence pack, methodology, findings, and limitations. | | ## Measures and thresholds | Measure | Definition | Source | Baseline | Target | Threshold | Owner | Frequency | |---|---|---|---:|---:|---:|---|---| | | | | | | | | | | | | | | | | | | ## Risk and control register | Risk | Cause | Impact | Preventive control | Detective control | Owner | Residual risk | |---|---|---|---|---|---|---| | | | | | | | | | | | | | | | | ## Review checklist - [ ] 1. Vendor and partner assessment: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 2. Measurement system: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 3. Quality assurance: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 4. Change management: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 5. Documentation: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 6. Scenario analysis: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 7. Security and resilience: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 8. Data governance: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 9. Capability and resourcing: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 10. Scale readiness: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 11. Review and renewal: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 12. Decision boundary: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 13. Stakeholder map: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. - [ ] 14. Current-state baseline: evidence is linked, ownership is named, exceptions are recorded, and the current decision is clear. ## Approval record | Role | Name | Decision | Conditions | Date | |---|---|---|---|---| | Accountable owner | | | | | | Subject-matter reviewer | | | | | | Risk or control reviewer | | | | | ## Authoritative references - https://www.nist.gov/itl/ai-risk-management-framework — Authoritative reference 1 for the evidence and standards relevant to Enterprise AI Evidence and Research. Confirm the current version and applicability before relying on it. - https://oecd.ai/en/ai-principles — Authoritative reference 2 for the evidence and standards relevant to Enterprise AI Evidence and Research. Confirm the current version and applicability before relying on it. - https://www.iso.org/standard/81230.html — Authoritative reference 3 for the evidence and standards relevant to Enterprise AI Evidence and Research. Confirm the current version and applicability before relying on it. ## Related Rusaka resources - https://www.rusaka.com/resources/reports - https://www.rusaka.com/resources/research/enterprise-ai-adoption-research - https://www.rusaka.com/resources/whitepapers/responsible-ai-governance-whitepaper ## Important limitation This educational workbook does not replace legal, investment, tax, accounting, security, clinical, regulatory, or other qualified professional advice. Confirm current requirements and obtain formal organisational approval where applicable.