IYABOKO Science & Technology
Evidence-Governed Technology Infrastructure
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Solutions
Enterprise
Evidence & Programmes
Use governed AI to research, organise evidence and develop technology projects.
The AI Research & Innovation Workspace is IYABOKO’s human-facing AI environment for questions, research, analysis, evidence organisation and project development. It provides a simple entry point while stronger computation, engineering, assurance and authority controls are introduced only when the work requires them.
Start with practical project activity instead of navigating the whole architecture first.
The workspace supports preparation and analysis while keeping consequential claims and actions subject to appropriate evidence and review.
Ideas & Questions
Frame problems, investigate possibilities, compare approaches and identify what evidence may be needed next.
Research & Analysis
Support literature work, structured analysis, data interpretation and technically grounded project preparation.
Evidence Organisation
Structure sources, claims, assumptions, uncertainty and project evidence for later review and assurance.
Project Development
Prepare requirements, options, technical pathways, reports and evidence packages for deeper IYABOKO workflows.
Keep early exploration simple. Increase controls as stakes increase.
The AI environment can remain lightweight during exploration and connect projects to stronger evidence, engineering and assurance controls when progression becomes consequential.
Low-Friction Exploration
Brainstorm, scope and investigate without presenting every advanced governance control at the start.
Structured Project Work
Introduce provenance, requirements, uncertainty, permissions and maturity controls as evidence accumulates.
Assurance & Authority
Connect to Sentinel, validation and accountable Human Authority before higher-consequence progression.
AI Workspace and the 8 Professional AI Workers remain separate by design.
They may support the same project, but they serve different operational roles and should not be presented as one registry, one workforce or one authority layer.
AI Research & Innovation Workspace
The interactive environment where authorised users research, analyse, organise evidence, develop materials and work directly with available AI capability.
8 Professional AI Workers
A separate group of specialised AI workers intended to support defined functions under governed permissions, evidence requirements and Human Authority boundaries.
The Workspace is the user-facing working environment. The Professional AI Workers are a separate specialised workforce capability. Neither automatically receives consequential authority.
Use AI Workspace as an entry environment into the larger governed technology stack.
When work needs more than general research or preparation, the project can progress into the platform capability suited to that need.
Computation
Move into formal computation, modelling and bounded decision pathways.
Project Intelligence
Relate evidence, requirements, options, dependencies and decision context across the project.
Assurance
Challenge whether evidence, risk and readiness justify progression.
Continuity Authority
Apply continuation proof and bounded authority re-entry where recovery-sensitive systems require it.
Engineering
Progress supported work into simulation, prototype, HIL, manufacturing and physical-validation pathways.
Identity & State
Maintain project, membership, permission, provenance and lifecycle controls beneath the experience.
AI output is preparation and decision support—not automatic authority.
Outputs should be reviewed against sources, project requirements and applicable professional, institutional or regulatory obligations.
Verify Claims
Check sources, assumptions, methods, uncertainty and evidence quality before consequential use.
Use Authorised Data
Place customer, organisational or personal information only into environments authorised for that use.
Keep Humans Accountable
Professional judgement, certification, regulatory approval and operational authority remain outside automatic AI control.
Public product page and authorised AI runtime stay separate.
The existing membership-aware AI Workspace remains the runtime access layer. This public page explains the capability without exposing restricted AI environments to unauthorised users.
Product & Capability Overview
Explain what the AI Research & Innovation Workspace does, how it connects to the platform and where its authority boundary sits.
Membership-Aware Runtime
The existing AI Workspace runtime can continue to render authorised environments according to membership and account permissions.
Keep AI capability claims tied to the runtime that is actually available.
Different AI environments, workers and integrations should be described according to their implemented access, testing and governance state.
| Capability class | Posture | Boundary |
|---|---|---|
| Public/member research and project-assistance workspace | Operational access pathway | Availability can depend on account, membership, plugin/runtime status and permissions. |
| Professional AI Workers | Separate governed capability | Must remain distinct from the Workspace and operate within assigned permissions. |
| Project-specific AI integrations and higher-consequence workflows | Scope-dependent | Require appropriate data controls, validation, evidence and assurance. |
| Professional, statutory, safety-critical or autonomous consequential authority | Human / external authority required | Not automatically granted to AI output, the Workspace or Professional AI Workers. |
Start with research or project preparation, then deepen the pathway when the work justifies it.
Use the authorised AI Workspace for governed access, or bring a larger programme to IYABOKO for computation, engineering, assurance and enterprise scope.