Type it, done.
Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.
Connect Outlook and Chatbotkit — AI-native workflow automation
Build multi-step AI automations that flow through Outlook and Chatbotkit — and chain in 1000+ other apps when the workflow needs them. One instruction, many steps, every API call run by AI. No code, no flowcharts, self-healing.
Outlook and Chatbotkit are two anchors of a much bigger automation. Definable Workflow chains your inbox, your AI layer, and as many other tools as the job needs into a single multi-step flow — built, executed, and verified by AI. Describe the outcome; Workflow plans the steps, runs every API call, branches on conditions, fans out in parallel where useful, retries on failure, and self-heals when an upstream API shifts shape.
What you can automate between Outlook and Chatbotkit
6 ways to automate Outlook + Chatbotkit
- When a new email arrives in Outlook, route the output to the right system in Chatbotkit
- When an email matches a label or filter in Outlook, log the generation in Chatbotkit
- When a model output is generated in Chatbotkit, draft a contextual reply in Outlook
- When a tool call completes in Chatbotkit, route the email to the right owner in Outlook
- When a reply lands in a thread in Outlook, trigger the next step in the chain in Chatbotkit, and log the result in a structured record for team review
- When an attachment is received in Outlook, attach the result to a record in Chatbotkit, then send a notification to the assigned owner with the full context
Most automation tools run code. Workflow runs on AI.
AI builds it AND runs it.
Other platforms use AI to generate brittle code that runs offline. Workflow's entire execution layer is AI — it interprets, decides, and acts step by step.
Self-healing by design.
Every step is monitored by a verification layer. If something fails — a rate limit, an unexpected response, a skipped condition — Workflow detects it, corrects it, and reruns automatically.
Cross-tool orchestration.
Multi-step, event-driven, condition-based flows across Outlook, Chatbotkit, and 1000+ other tools — all from one instruction.
How Definable Workflow automation works — step by step
- 1
Describe your workflow
Type what you want to happen between Outlook and Chatbotkit. No setup wizard.
- 2
Workflow builds it automatically
Definable maps your instruction to the right actions across both tools. You see the plan before it runs.
- 3
AI executes every step
Workflow runs end-to-end. It calls Outlook, processes the data, applies your conditions, and fires the Chatbotkit action.
- 4
The verification layer monitors everything
Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.
Example workflow
Trigger
When accept calendar event invite in Outlook
Condition
If the Outlook event matches your configured filter
Action
Create Task in Chatbotkit
Verified
Workflow verified all steps completed successfully.
Frequently asked questions
What can I automate between Outlook and Chatbotkit?
Anything you can describe. Workflow connects Outlook (your inbox) and Chatbotkit (your AI layer) through a single instruction. Examples: when a new email arrives in Outlook, route the output to the right system in Chatbotkit; when an email matches a label or filter in Outlook, log the generation in Chatbotkit. There's no limit to step count or branching depth.
Do I need to write code to connect Outlook and Chatbotkit?
No. You describe the outcome in plain language and Workflow assembles the steps, authenticates both tools, runs the flow end-to-end, and self-corrects if anything fails.
What happens if Outlook or Chatbotkit returns an unexpected response?
Workflow has a verification layer on every step. If a response is malformed, an API rate-limit hits, or a condition is unmet, Workflow detects it, adjusts, and reruns the step automatically — without breaking the flow.
How is this different from drag-and-drop automation tools?
Most automation tools generate static workflows that run brittle code. Workflow is AI-native: the execution layer interprets each step at runtime, so it adapts when Outlook ships an API change or Chatbotkit returns a new field shape. You don't maintain it.
How long does it take to set up?
Minutes. Authenticate Outlook and Chatbotkit, type what you want to happen, review the plan Workflow generates, and start running.
Your workflows. Built by AI. Run by AI. Fixed by AI.
Stop maintaining automations. Start describing outcomes. Workflow handles everything between Outlook, Chatbotkit, and your entire stack.