What we do
Advisory that survives contact with operations.
Six integrated practices spanning the full distance from executive strategy to governed, working capability.
Practice 01
AI Strategy & Readiness
Understand your AI maturity and determine where AI can create measurable value across the enterprise.
Discuss this practice- AI maturity assessments
- Enterprise AI strategy
- AI opportunity discovery
- AI investment prioritisation
- AI business cases
- AI roadmaps
- Executive advisory
- Board advisory
- AI portfolio strategy
Practice 02
Agentic Enterprise Transformation
Redesign operations around humans, AI agents and digital workers rather than automating what already exists.
Discuss this practice- Agent opportunity mapping
- Digital worker strategy
- Human-agent operating models
- Process redesign
- Intelligent workflow design
- Autonomous operations strategy
- Agent orchestration architecture
- Human-in-the-loop design
The Agentic Enterprise: an organisation where humans, AI agents, digital workers, enterprise systems and data collaborate continuously to achieve business outcomes.
Practice 03
AI Operating Model & Workforce
Redesign roles, teams and organisational structures for work shared between people and machines.
Discuss this practice- AI workforce strategy
- Role decomposition
- Task intelligence analysis
- Human/AI work allocation
- Workforce augmentation
- Organisational redesign
- AI skills planning
- AI literacy programmes
- Productivity measurement
Practice 04
AI Architecture & Technology Advisory
Make independent, defensible technology decisions. We are technology-aware but advisory-led.
Mibono Intelligence is technology-aware but advisory-led. Our recommendations are independent of any vendor relationship.
Discuss this practice- Enterprise AI architecture
- LLM strategy
- Model selection
- AI platform selection
- Build vs buy analysis
- Cloud AI architecture
- On-premise AI
- Sovereign AI
- Edge AI
- RAG architecture
- Knowledge architecture
- AI integration architecture
- Model routing
- AI infrastructure
- Vendor evaluation
Practice 05
AI Governance, Risk & Responsible AI
Deploy AI safely, accountably and in a way regulators and boards can trust.
Discuss this practice- AI governance frameworks
- AI policy development
- Model risk management
- Agent governance
- Responsible AI
- Privacy
- POPIA considerations
- Data sovereignty
- Explainability
- Human oversight
- AI auditability
- Model registries
- AI assurance
- Regulatory readiness
AI Control Tower
A conceptual governance model
- •AI Systems
- •Models
- •Agents
- •Data
- •Decisions
- •Actions
All governed through
- Policy
- Risk
- Security
- Audit
- Human Oversight
Practice 06
AI Implementation & Transformation
Move from strategy into production. We don't stop at PowerPoint — we help build working capability.
We don't stop at PowerPoint. We help organisations move from strategy to working capability.
Discuss this practice- AI pilots
- Enterprise AI programmes
- Agent implementation
- Workflow transformation
- Enterprise integration
- AI platform implementation
- Change management
- AI adoption
- Value measurement
- Transformation programme management