Give AI adoption a clear operating framework.
Practical controls for AI access, data connections, evaluation and organisational oversight.
Discuss your project
A foundation for
your next opportunity.
As AI moves into daily work, organisations need to understand which systems are in use and how they affect people, data and decisions. DeX0S develops the tooling and workflows that support this oversight. Maintain an inventory of use cases, connect approved data sources and define access and review responsibilities. Evaluation records, usage visibility and change approvals give teams a shared operating picture. The approach can include model-context integrations and controlled tool access, with technical controls aligned to policies approved by the organisation’s responsible business and governance teams.
Use-case inventory
Record AI applications, owners, purposes, dependencies and review status.
Data connections
Connect approved sources with appropriate identity, permission and freshness controls.
Tool-access boundaries
Define which systems an assistant can read or act upon, and under what conditions.
Evaluation records
Maintain test results, review outcomes and known limitations for important use cases.
Usage and spend
Make activity, provider usage and cost patterns visible to authorised teams.
Change governance
Organise approvals for model, prompt, data and integration changes.
Designed around
the way you operate.
Understand the landscape
Map current and planned AI use cases, data sources and decision owners.
Define the framework
Agree access principles, evaluation criteria and review responsibilities.
Implement the tooling
Build inventories, connectors, records and oversight dashboards.
Review continuously
Use incidents, feedback and system changes to update controls and priorities.
Your questions.
Clear answers.
Can this include Model Context Protocol integrations?
Yes. MCP-based connections can be considered where appropriate, with explicit tool scopes, authentication and approval boundaries.
Does governance prevent teams from experimenting?
A useful framework distinguishes low-risk exploration from consequential deployment. Clear boundaries can make responsible experimentation easier to organise.
Is governance only a technical concern?
No. Business owners, legal advisers, security teams and the people affected by AI should inform the operating framework. Technology supports those responsibilities.
Connected capabilities.
AI Agents & Chatbots
Business-aware assistants for customer support, internal knowledge and carefully controlled workflows.
Explore solution IntelligenceLLM Applications
Purpose-built applications for search, document understanding, content workflows and decision support.
Explore solution IntelligenceAutomation & Intelligence
Automate repeatable processes and bring operational information into decision-ready views.
Explore solutionAmbition deserves
exceptional infrastructure.
Bring us the opportunity. Let’s shape the technology that moves it forward.
Digital assets. Intelligent systems. Your vision.