Business-system interfaces
Connect agreed business systems through APIs and purpose-built adapters. Where appropriate, Model Context Protocol (MCP) servers expose defined tools and data to AI clients.
Secure System Connections
Secure system connections let AI use business software through defined interfaces. We build APIs and connectors with scoped access, clear identities and controls around changes.
Connect Only What the Work Requires
The connection determines what information an agent can see and which actions it can propose or perform.
Identity and permissions
Define which person or agent is acting and which records or functions they can access. Keep separate client and workflow boundaries where required.
Controlled changes
Distinguish lookups from writes. Add validation, previews and approval requirements for changes, with a useful record of the action and its result.
Example Workflow
A Connection With a Boundary
An illustrative record-update path, with the source system retaining ownership of its data.
Identify
Confirm the requesting person or agent.
Check scope
Allow only the relevant records and functions.
Prepare and approve
Validate the proposed change and request review where required.
Apply and record
Use the source interface and capture the returned result.
Scope Every Connection
We agree read and change permissions separately. Credentials, data handling and failure behaviour are part of the design. A system without suitable access may need a different workflow or a narrower scope.
Systems and demonstrations
Explore the workflow, the controls and the decisions people retain.
Security engineering
Agent Tool and Skill Security
Permissions and tool boundaries constrain what untrusted input can cause. The engineering covers declared access, controlled skill versions, connection gates and confirmation around sensitive actions.
Declare and enforce
Tools declare their required permissions, which are checked before execution. Undeclared connections are blocked.
Control changes
Approved skill versions are signed and locked so changes can be detected. Pipeline checks apply the agreed release gates.
Review sensitive actions
Dry runs or confirmation support review before sensitive execution, with an audit record available to the team.
Controls and responsibility
The boundary limits what a tool can do with input. A text safety check cannot grant permission to execute an undeclared action. Deployment and on-premise review arrangements are scoped with the customer.
Demonstration
AI Control Plane
A shared control layer runs insurance, mortgage and finance workflows through one engine. It routes tasks to model tiers, holds sensitive actions for a person and records the workflow’s decisions and results.
Receive and route
Intake identifies the workflow and routes the task to an appropriate model tier through a shared entry point.
Check and approve
Policy checks and a named human gate govern a proposed high-risk action before it can proceed.
Record and compare
The demonstration records reason codes and compares measured tokens, elapsed time and cost for the same task across model tiers.
Controls and responsibility
Policy failures are recorded too. Checks cover authority and excluded or masked information. The self-hosted comparison is labelled as a benchmark; it is not a general savings promise.
Questions About the Service
Can every system be connected?
No. We assess the available API, permissions, data model and operating constraints. Where a connection is unsuitable, we explain the limitation and scope an alternative.
Can the AI update records automatically?
Only where the agreed workflow permits it. Other changes can remain drafts or require approval, with the source system’s own permissions still enforced.
Do we have to replace our existing software?
The starting point is the software you already use. Replacement is not assumed; we first assess whether the required workflow can be supported through its interfaces.
Tell Us What You Want to Build
Bring a workflow, a requirement or a problem your team wants to solve.