Ask for an up-to-date overview
Which customers need attention? What is the order status? The connector retrieves current system data for the AI tool to summarize and explain.
Work with business systems from your AI tools
Look up a customer, find an invoice or prepare an action without leaving the conversation. We build connectors for existing business systems, based on their interfaces and your access permissions.
The connector links the tools. Your system remains the source.
MCP lets AI clients call defined tools. A connector translates a tool call into a request to a business system and returns the result to the conversation. Each integration depends on the APIs, data and operations that system supports.
- A request in plain language
For example: which invoices are still open?
- A defined tool and appropriate access
The connector calls the system within its configured permissions.
- A result you can work with
System data, or an action governed by the agreed execution and approval rules.
How did AI conversations become system integrations?
Software has connected through APIs for years. In November 2024, Anthropic introduced MCP, Model Context Protocol, as an open standard for connecting AI tools to data sources and tools. It provides a common interface: a server describes available capabilities in an agreed format, rather than inventing a new connection method for every AI environment.
The standard defines communication between an AI client and a connector. Integration with your business system, permissions and workflow still needs to be developed and tested.
The original Anthropic announcementKeep working in the chat your team already knows
Claude, Gemini, Grok and other AI tools can provide access to business systems. Instead of switching screens, your team asks for information from a connected system or requests an enabled action. We adapt the integration to your chosen tools and their available capabilities.
For example: “What is this customer’s CRM status?” followed by “Create a follow-up task for next week.” The connector retrieves data or calls the appropriate tool within the user’s permissions and agreed approval rules.
Compatibility depends on the product, subscription and organization settings. Some environments support a direct MCP connection; others need additional integration. We assess these options at the start.
What can a connector do?
Bring information together
Combine customer details from CRM, files from a document store and payment information from finance, where each source is connected and accessible within the agreed permissions.
Prepare and perform actions
Create a task, update a record or prepare a quote. Define which operations are permitted and which require approval before changing the source system.
Which systems can it connect to?
CRM and ERP, accounting systems, databases, document stores, email and calendars, e-commerce, service and operations platforms, and media creation tools. Connections can reach cloud services or internal business systems.
The starting point is an available interface: an API, authorized database access or another supported integration method. We also check whether your chosen AI environment supports the connection. Without a suitable interface, alternatives need to be assessed before development can be estimated.
From core business systems to creative tools
These examples describe projects we have developed. Connecting another system or organization requires an assessment of interfaces, permissions and workflow.
Finance and ERPSAP Business One
Retrieve open invoices, account entries, payments and aging reports across multiple company databases.
This connector is read-only and does not modify source records.
Customers, leads and tasksHybiz CRM
Find customers, check orders and payment status, and manage tasks and records through dedicated CRM tools.
Available operations depend on the user’s API access.
Operations from a conversationRental operations
Search customers, rentals, documents and correspondence, and prepare quotes and operational actions.
In this connector, charges, supplier orders and outgoing emails require a separate approval step.
Research and developmentClaude · Gemini · Grok · Codex
Connectors for coding tasks, research, document analysis and second opinions from AI tools.
The working environment and access scope are configured during implementation.
Media, voice and documentsKie · HeyGen · ElevenLabs · Suno
Call image, video and voice services, alongside transcription and document analysis tools, and track task results.
External services are subject to provider availability, quotas and pricing.
Business communicationsTwilio
Tools for phone numbers, messages and calls, with status checks from the working environment.
Operations use the provider account, its permissions and its billing.
How long does connector development take?
Typically a few weeks, and sometimes less. A focused connection to one system with a documented API and ready permissions can progress quickly. Multiple systems, complex business logic or special approval requirements take longer.
- Define the first task
Choose a useful workflow, assess interfaces and data access, and agree on scope and timing.
- Build and test
Develop the required tools and test accuracy, permissions, failures and changes to source data.
- Try it and expand
Connect the AI environment, trial the workflow with users and add capabilities as needed.
Timing is estimated after a short review of the system and requirements. Access, documentation and a test environment affect delivery; an initial demonstration is not necessarily ready for everyday operations.
Your server. Your rules for access.
The connector can run on your organization’s server or in a cloud environment you control, connected to your existing systems. The integration component and access settings sit in an environment you manage. Security is designed around your data, users and required operations.
Identified, limited access
Define authentication and only the permissions each user needs. System credentials are managed on the server rather than entered in the conversation.
Protected connections and action controls
Plan transport encryption, separate read and write tools, and approval for sensitive actions. Validate configuration and behavior before use.
Control what reaches the conversation
Define which information the AI tool can receive and exclude unnecessary fields. Provider selection and account settings are part of the integration design.
Hosting the connector on your server does not keep every piece of information there: when using a cloud AI tool, results returned to the conversation may be sent to and processed by its provider. We therefore also align the shared data and privacy settings with your organization’s requirements.
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A conversation about one work process
The first conversation describes the process, where the information lives and what needs to change. From there it is clear whether to start with training, automation or a system.