A proven, repeatable framework for enterprise workflow modernization. Every engagement is structured for rigor, transparency, and executive-level clarity.
Weeks 1–3
Stakeholder interviews across all relevant business units. Process walkthroughs and observation. Documentation review. Current-state workflow mapping. Tool and technology inventory. Initial pain point and bottleneck identification.
Output: Current-state assessment, stakeholder interview summary, preliminary findings.
Weeks 4–5
Capability maturity evaluation across governance, process, technology, data, and people dimensions. Gap analysis against industry benchmarks and organizational requirements. Root cause analysis. Impact vs. effort prioritization. AI augmentation opportunity assessment.
Output: Gap analysis matrix, maturity assessment, prioritization framework, AI opportunity brief.
Integrated into Phase 2 analysis
AI deployments are subject to an increasingly complex regulatory landscape. The HAQM methodology maps every AI architecture against the one consolidating global standard and the three major regional overlays to ensure your SOW is future-proof and globally compliant, regardless of where your data flows.
| Governance Domain | ISO/IEC 42001 Global Baseline |
US Overlay NIST AI RMF |
EU Overlay AI Act |
UK Overlay AI Principles |
|---|---|---|---|---|
| Risk Classification | Context-specific risk assessment | Map & Measure functions | High-Risk vs. Minimal Risk categorization | Safety, Security & Robustness |
| Data & Lineage | Data quality & provenance requirements | Data governance & privacy mapping | GDPR compliance & training data logs | Fairness & bias mitigation |
| Human Oversight | Human-in-the-loop (HITL) mandates | Manage function (human oversight) | Mandatory HITL for High-Risk systems | Contestability & Redress |
| Transparency | System documentation & logging | Explainability & transparency metrics | Conformity assessments & CE marking | Appropriate Transparency & Explainability |
| Accountability | Clear roles & AI management system | Govern function (leadership oversight) | Post-market monitoring & incident reporting | Accountability & Governance |
Weeks 5–6
Future-state workflow design. Governance framework design. Reporting structure and cadence recommendations. Decision authority and stage-gate redesign. Technology requirements identification. Change management approach.
Output: Future-state designs, governance framework, reporting blueprint, change management plan.
Weeks 7–8
Prioritized implementation sequencing. Resource and dependency mapping. Timeline development with 30-60-90 day milestones. ROI estimation for each initiative. Risk and mitigation planning. Executive summary and board presentation.
Output: Transformation roadmap, executive presentation, implementation plan, ROI estimates.
Ongoing (as needed)
Post-engagement advisory support. Implementation progress reviews. Course correction and adjustment recommendations. Capability building and knowledge transfer. Continuous improvement process establishment.
Output: Sustainment plan, progress review cadence, team playbook, ongoing advisory as agreed.