From a simple request to a completed task.
MCP Fabric can turn a request into an actual process: Ask → Understand → Retrieve → Decide → Execute → Approve → Done. AI can retrieve the right business knowledge, make a decision, call the appropriate tools, wait for human approval when needed and continue the automated process.
- Starting point
- Agent
- Knowledge
- Decision
- Tool
- Approval
- Result
From request to action
From a simple request to a completed task.
“Find the overdue invoices, identify the responsible managers and notify them.” That sounds simple, but completing it requires several decisions: finding the right records, understanding them, choosing the next action, using the appropriate business system and, when necessary, asking a person for approval. MCP Fabric turns that work into clear steps, so the result is not just a written answer but a completed business task.
What happens between the request and the result
You design the process once. The platform runs it, can pause for a person, and continues after the decision.
The process is the behavior
Triggers, agents, knowledge search, decisions, tools, loops and approvals are explicit steps — not hidden shortcuts.
A run that can wait
A run keeps state. On approval it pauses; after a decision it continues. You can follow the path from request to done.
Real entry points
A run can start from admin, a schedule, a form, email, Teams, WhatsApp, website chat, an MCP tool — or from another automated process.
Control and governance before the action
Before a tool or channel action runs, the platform can evaluate organization, identity, role, license, policy and capacity.
Explore more
Automated processes
Turn decisions into repeatable processes instead of long, expensive agent loops. Visual automated processes connect people, AI, tools and systems — and you only pay for the steps that actually run.
Agents
Give AI a job, not just a request. Create specialized agents with clear responsibilities, instructions, knowledge and capabilities.
MCP
Connect the AI clients your team already uses. Compatible clients can work with the same tools, automated processes and business context.
Control and governance
Let AI act — within clear boundaries, including cost. Identity, roles, licensing, policies, capacity and approvals are part of execution, so you keep full control over what runs and what it costs.
Process diagram
An automated process defines what happens, in what order, under which conditions and when a person should step in. What you draw is what runs.
Ready to move beyond the chatbot?
Build AI that understands your business, works with your knowledge, follows your processes and can actually finish the job. You decide which actions are allowed, when a person must step in and how much AI usage your organization can consume.