01
Information lookup
Define tools for finding relevant records, documents, or product information in authorized systems.
ChatGPT integrations
Bring your tools into the conversation.
Help people use business information and workflows from ChatGPT. Start with a useful task, then design the tools, permissions, and interface around it.
Discuss your project Concept illustration
Where we help
Connect ChatGPT to your business tools.
A custom ChatGPT integration connects ChatGPT with a business system or workflow. The proposed work can include MCP tools, skills, and an optional interface. It is different from adding an OpenAI-powered chatbot to your own website.
02
Guided actions
Prepare updates or other business actions with clear inputs, validation, and confirmation where needed.
03
Workflow plugins
Package instructions and tools around a repeatable task so the user has a clear starting point.
04
Purposeful interfaces
Use a compact interface when a list, comparison, or structured input is easier to use than a long conversation.
Engineering decisions
Design the integration around access and intent.
Choose the right surface
We distinguish an API-powered application from a workflow inside ChatGPT before deciding what to build.
Define the tool contract
Each tool needs a clear purpose, constrained inputs, useful results, and predictable behavior when something fails.
Plan authentication and review
We scope account access, read and write permissions, confirmation steps, testing, and deployment for the intended workspace or distribution route.
Relevant experience
Start with one workflow worth improving.
A focused proof of concept gives your team something concrete to review: a working connection, defined permissions, and examples of the task completed. We agree on those acceptance criteria before expanding the integration.
Explore our AI engineering approachUseful answers
Before we start.
What is MCP?
Model Context Protocol is a standard for exposing tools and resources to AI applications. An MCP server can provide the connection between ChatGPT and your business systems.
Do we always need a visual interface?
No. Some tasks work well with tools and text responses. We would add an interface only when it makes the workflow easier to understand or complete.
Can you guarantee public distribution?
No. Public distribution depends on the platform’s current requirements and review process. We distinguish building and testing an integration from obtaining distribution approval.
What should we bring to the first conversation?
One workflow, the systems it touches, the people who need access, and the actions the integration should be allowed to take. That is enough to start shaping a proof of concept.
Start with the context
Tell us what needs to work better.
A goal, an existing product, or a difficult workflow is enough to start a useful conversation.
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