Give AI agents useful access to your operational data.
To help a team, an agent needs reliable information and clearly defined functions. The connection starts with context, access and the boundaries of the work.
Accessible information. Defined functions and permissions.
A colleague asks for an order's status before calling a customer back. To help, an AI agent needs to identify the right record, consult information that is recent enough and understand what the status means. A plausible answer alone cannot prepare that business conversation.
We therefore approach agents through the data and functions they will need. Boutik can provide a foundation for making information and selected operations accessible to different tools. What an assistant can use depends on your systems, available interfaces and users' responsibilities.
Start with a question your team already asks.
We choose a concrete request before opening up a set of data: finding an order, preparing a check or explaining a document discrepancy. We need to understand the person asking, the account context and the evidence required for a useful answer.
That request makes the expected result more precise. Looking up a status, preparing a proposal and changing an order involve different functions. A first workflow can focus on finding information and presenting its context, then expand once its usefulness has been validated.
Prepare the data and preserve its meaning.
A prepared copy of information can support queries without directly asking the ERP to answer every request. Synchronizing that copy still uses the source system. We need to select the relevant data, its identifiers and an update frequency suited to the intended use.
The agent also needs context that makes the data understandable. Available quantity, a partial receipt and a confirmed delivery describe different situations. When freshness or a matching reference is uncertain, the workflow should make that limitation visible rather than turn missing information into certainty.
Expose functions with a clear purpose.
An API provides an interface through which software can request information or call certain functions. We have an API for exchanges; that does not mean every operation is already available to every assistant. We examine which functions are relevant to the chosen workflow.
For each one, we define required inputs, the returned result and the checks applied. How does the system report an unknown reference? How does it prevent a repeated request from causing a duplicate action? These decisions connect the technical interface to the way your team expects work to proceed.
Understand where MCP can fit.
MCP, the Model Context Protocol, is an open protocol organizing exchanges between an AI application and external systems. Its architecture distinguishes the host application, its clients and servers that expose resources or tools. It offers a common framework for discovering and using capabilities.
An MCP server can use a business API to perform an operation. The exposed tools, the assistant's supported capabilities and the applicable authorization still need definition. In a Boutik project, the available MCP scope must be confirmed for the intended environment; full compatibility with every assistant should not be assumed.
Enforce access where the operation is authorized.
A representative and someone in accounting do not necessarily have access to the same accounts or documents. Functions used by an agent need to respect those responsibilities. Access checks belong in the systems providing the information and authorizing the operations.
Instructions given to the model complement that framework without replacing those checks. The team also needs to decide which actions require confirmation and what evidence a person needs to make that decision. Technical permission alone does not establish that a business commitment has been approved.
Useful access, from a request to a decision
01RequestA defined task, user and business context.
02Authorized functionExplicit inputs, information and scope.
03Verifiable resultAn answer, its limits and useful supporting records.
04Appropriate next stepRead, propose or ask for confirmation.
Design outline, independent of a particular assistant. Integrations and permissions need validation for each project.
Try a first workflow with the people involved.
We can prepare a prototype using representative cases and review its responses with users. Missing information, denied access and outdated data are as instructive as a typical successful request. A test database can help explore the workflow without engaging live operations.
This stage helps decide what needs connecting and how to validate the next step. An agent that finds the right evidence to prepare a decision can already address a specific need. Expanding its functions then depends on available access, practical trials and the rules your team chooses to apply.
Define a useful first connection
✓ A real question and the role of the person asking it.
✓ The source, meaning and required freshness of the information.
✓ Necessary functions and their permissions.
✓ Required confirmations before a consequential action.
✓ Typical cases and exceptions for validating the workflow.
