Connect once and reuse
Make approved business capabilities available to compatible agents, assistants and automated workflows without rebuilding each connection from scratch.
ChatFox AI Control Layer
One managed connection between your business systems and the AI applications authorised to use them. ChatFox builds the integrations, defines permissions and supports the layer as your needs change.
Discuss your systemsWhat it gives you
Make approved business capabilities available to compatible agents, assistants and automated workflows without rebuilding each connection from scratch.
Set which tools and information an authorised assistant can access, with permissions and business rules appropriate to the task.
Bring configuration, monitoring and audit records together so the use of connected tools can be controlled and reviewed.
Separate business tools from individual AI interfaces, reducing reliance on one provider and making room for compatible assistants as needs change.
The architecture
Requests and results move in both directions through one stable, managed interface.
Existing and new systems connect when required.
AI integration & control
Managed by ChatFox
Approved tools and information move through one managed connection, with access defined for each AI application.
Controlled access for every approved application, workflow and interface.
A website or portal can be an authorised AI interface, while its underlying systems and APIs remain controlled data sources.
Why a shared layer matters
The Control Layer replaces a growing collection of separate integrations with one managed route to approved business capabilities.
Every new AI solution needs its own connections and controls.
Approved capabilities are connected once and reused safely.
Avoid rebuilding every underlying system integration.
Manage common rules, permissions and review points.
Authorise compatible assistants and workflows as needs develop.
Bring configuration, activity and audit requirements together.
Control in practice
A connection makes approved capabilities available; it does not give every assistant or workflow unrestricted access.
Every user, assistant and workflow receives only the tools, information and actions authorised for its purpose.
Illustrative uses
The ChatFox AI Control Layer allows approved business information and capabilities to be used by different assistants, applications and automations. Each receives only the access and actions authorised for its purpose.
A construction group planning a large project can ask its own authorised AI assistant for the merchant information it needs, while the merchant retains control of access.
“Find suitable insulation for 4,000 m², show our agreed price, branch availability, delivery times and specification documents.”
Answers come from approved live systems rather than copied catalogues.
Pricing and availability can reflect the authenticated account.
Routine project enquiries need fewer calls and emails.
Only agreed information and actions are exposed.
Illustrative example - not a client case study. Compatibility depends on the customer’s AI environment, authentication and agreed configuration.
The same repairs systems can support several AI experiences without giving every user or workflow the same information or authority.
“The boiler in my flat has stopped working. Can you report it and tell me when someone could attend?”
Routine requests can move directly into the repairs process.
Every client sees only what it needs for its role.
The three experiences share the same managed connections.
Sensitive, costly or unusual cases can require review.
Illustrative example - not a client case study.
When a shipment is delayed, an approved workflow can gather the facts, assess the impact and complete routine actions, while commercial decisions remain with people.
“Shipment 2847 will miss its scheduled connection and is likely to arrive one day late.”
Information is assembled as soon as the event occurs.
Automation receives only the tools required for the process.
Judgement and commercial authority remain with employees.
Requests, decisions and approved actions can be recorded.
Illustrative example - not a client case study.
A construction group planning a large project can ask its own authorised AI assistant for the merchant information it needs, while the merchant retains control of access.
“Find suitable insulation for 4,000 m², show our agreed price, branch availability, delivery times and specification documents.”
Answers come from approved live systems rather than copied catalogues.
Pricing and availability can reflect the authenticated account.
Routine project enquiries need fewer calls and emails.
Only agreed information and actions are exposed.
Illustrative example - not a client case study. Compatibility depends on the customer’s AI environment, authentication and agreed configuration.
The same repairs systems can support several AI experiences without giving every user or workflow the same information or authority.
“The boiler in my flat has stopped working. Can you report it and tell me when someone could attend?”
Routine requests can move directly into the repairs process.
Every client sees only what it needs for its role.
The three experiences share the same managed connections.
Sensitive, costly or unusual cases can require review.
Illustrative example - not a client case study.
When a shipment is delayed, an approved workflow can gather the facts, assess the impact and complete routine actions, while commercial decisions remain with people.
“Shipment 2847 will miss its scheduled connection and is likely to arrive one day late.”
Information is assembled as soon as the event occurs.
Automation receives only the tools required for the process.
Judgement and commercial authority remain with employees.
Requests, decisions and approved actions can be recorded.
Illustrative example - not a client case study.
Managed by ChatFox
ChatFox designs, builds and manages the Control Layer for your business. We connect the agreed systems, define the available tools, configure authentication and permissions, establish approval points, test real scenarios and support the solution as your requirements change.
A managed Model Context Protocol (MCP) server exposes approved business capabilities as tools to authorised, compatible AI clients. ChatFox configures authentication, scoped permissions, tool definitions, validation, monitoring and audit records. Compatibility and access controls are implemented and tested for each integration.
Start a conversation
You do not need a technical specification. Bring an outline of the systems, users and actions involved, and we will help define a safe, practical starting point.
Discuss your systems