MIP — Mibono Intelligence Platform
One view of your entire intelligence estate.
MIP is an independent enterprise intelligence management platform. It works across the AI you already run — from any vendor — and Mibono products where you use them.
Questions MIP answers
The questions nobody can answer today.
- 01
What AI applications, agents, models, providers and workloads do we have?
- 02
Who owns them?
- 03
What are they costing us?
- 04
What business value are they producing?
- 05
Are they performing reliably?
- 06
Where are the risks and policy exceptions?
- 07
Where are workloads running?
- 08
What should we improve next?
Vendor-neutral by design
Useful from day one, whatever you already use.
MIP is not a dashboard over Mibono products. It is designed for organisations already using a mix of vendors and internal systems, for example:
- Microsoft
- AWS
- OpenAI
- Anthropic
- Internal AI applications
- Other agent platforms
- Other model gateways
- Third-party infrastructure
Named vendors indicate the kinds of estates MIP is designed for. They do not imply partnerships, endorsements or verified connectors. Available integrations are confirmed per deployment.
Example 1 — mixed third-party estate
5
Assets
5
Sources
1
Open exceptions
| Asset | Source | Owner | Monthly | Status | Integration |
|---|---|---|---|---|---|
Claims triage assistant AI application | Hyperscaler AI service | Operations | R 84,200 | Healthy | |
Contract review agent Agent | Third-party agent platform | Legal | R 41,900 | Exception | |
General chat workspace Productivity AI | Office suite copilot | IT | R 212,000 | Review | |
Frontier LLM API Model provider | External model API | Architecture | R 136,500 | Healthy | |
In-house forecasting model Internal model | Internal ML platform | Finance | R 27,400 | Healthy |
Adoption
Three ways to adopt MIP.
Start with visibility. Add control and optimisation when you are ready.
MIP Visibility
Discover, inventory, observe and measure.
- — Asset discovery and inventory
- — Ownership mapping
- — Usage, cost and performance observation
- — Common metrics across sources
MIP Control
Add ownership, policies, approvals and risk oversight.
- — Policy definition and exception tracking
- — Approval workflows
- — Risk register linked to assets
- — Audit evidence
MIP Optimisation
Identify improvements, recommend actions and execute authorised changes where supported.
- — Cost and quality improvement recommendations
- — Consolidation opportunities
- — Authorised changes where integrations permit
- — Value tracking over time
Integration depth
We tell you exactly what MIP can do with each source.
A third-party platform might allow MIP to observe it without allowing MIP to change it. MIP shows integration capability and coverage per source and asset type. We do not claim universal control.
| Level | Capability |
|---|---|
| 1Discover | Identify assets and ownership |
| 2Observe | Read available usage, cost, quality and performance data |
| 3Govern | Connect approvals or policy controls where supported |
| 4Control | Execute authorised changes where the integration permits and testing confirms it |
Example 2 — mixed estate with Mibono products
Deeper native integration, never a prerequisite.
Where you use Mibono platforms, MIP can typically go further — up to authorised control. Third-party sources sit alongside them at whatever depth their integrations support.
8
Assets
8
Sources
1
Open exceptions
| Asset | Source | Owner | Monthly | Status | Integration |
|---|---|---|---|---|---|
Claims triage assistant AI application | Hyperscaler AI service | Operations | R 84,200 | Healthy | |
Contract review agent Agent | Third-party agent platform | Legal | R 41,900 | Exception | |
General chat workspace Productivity AI | Office suite copilot | IT | R 212,000 | Review | |
Frontier LLM API Model provider | External model API | Architecture | R 136,500 | Healthy | |
Customer service digital worker Digital worker | OneCortex• | Customer | R 58,300 | Healthy | |
Model routing policy — retail Routing policy | ModelMesh• | Architecture | R 12,100 | Healthy | |
Inference cluster — Johannesburg Compute | MeshAI• | Infrastructure | R 310,000 | Review | |
In-house forecasting model Internal model | Internal ML platform | Finance | R 27,400 | Healthy |
Not sure what your estate looks like?
The MIP Estate Discovery and Control Blueprint inventories your AI estate, assesses integrations and designs a phased deployment.