NEW Workflow v2 · the multi-agent verification layer is live

Microsoft Teams + Kibana · Workflow automation

Connect Microsoft Teams and Kibana with AI-native workflow automation

Type an outcome. Definable Workflow reads Microsoft Teams data, applies your rules, and writes to Kibana — end to end, in one multi-agent run. Builder plans every step, Executor calls each API, Verifier retries failures. Chain 1,000+ other apps in the same flow. Zero code, zero flowcharts, self-healing. Free on the Starter plan.

Updated · Hosted IN · US · EU

6 use cases Self-healing 1,000+ apps team chat
Definable connects Microsoft Teams and Kibana through a three-agent AI loop — Builder plans, Executor runs, Verifier self-heals. One plain-English prompt replaces every Zap, scenario, and cron. Setup takes under two minutes.

Microsoft Teams and Kibana are two anchors of a much bigger automation. Definable Workflow chains your team chat, your analytics, 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.

6 ways to automate

What you can automate between Microsoft Teams and Kibana

  • When a new message is posted in Microsoft Teams, post the summary in Kibana
  • When a channel mention happens in Microsoft Teams, log the metric snapshot in Kibana
  • When a metric crosses a threshold in Kibana, send a formatted message in Microsoft Teams
  • When a daily roll-up completes in Kibana, open a thread with context in Microsoft Teams
  • When a thread reply lands in Microsoft Teams, pivot into the right dashboard in Kibana, and log the result in a structured record for team review
  • When a user reacts with a specific emoji in Microsoft Teams, alert on the anomaly in Kibana, then send a notification to the assigned owner with the full context

Why Workflow

Most automation tools run code. Workflow runs on AI.

Type it, done.

Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.

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 Microsoft Teams, Kibana, and 1,000+ other tools — all from one instruction.

How it works

Four steps from prompt to running workflow

  1. 01

    Describe your workflow

    Type what you want to happen between Microsoft Teams and Kibana. No setup wizard.

  2. 02

    Workflow builds it automatically

    Definable maps the instruction to the right actions across both tools. Review the plan before it runs.

  3. 03

    AI executes every step

    Workflow runs end-to-end. Calls Microsoft Teams, processes the data, applies conditions, and fires the Kibana action.

  4. 04

    Verification layer monitors everything

    Every step verified. If something fails, Workflow catches it, adjusts, and retries — without any manual intervention.

Example workflow

TriggerConditionAction

Trigger

When add chat member in Microsoft Teams

Condition

If the Microsoft Teams event matches your configured filter

Action

Delete Alerting Rule in Kibana

Verified

Workflow verified every step completed successfully.

Definable vs Zapier · Make · n8n

Why teams pick Definable for Microsoft Teams + Kibana

Zapier, Make, and n8n require you to build every automation node by node — and break the moment an API drifts. Definable builds the workflow from plain English and self-heals failed steps automatically.
Capability Definable Zapier / Make / n8n
Plain-English setup Yes No — build nodes
Self-heals API drift Yes No — flow breaks
50+ AI models built-in Yes Bring your own key
Multi-step, cross-tool Yes Yes — manual
Verification layer Yes No
Free tier 5,000 credits/mo Task-limited

Where this runs

Hosted where your data is compliant

Definable runs Microsoft Teams + Kibana workflows from Mumbai (IN), N. Virginia (US), and Frankfurt (EU). Tenant-isolated storage, no cross-region transfer, DPDP + GDPR + SOC 2 Type II + ISO 27001 compliant.

IN · Mumbai

DPDP compliant. Data resident. INR pricing from ₹399/mo.

US · N. Virginia

SOC 2 Type II. HIPAA-ready. USD pricing from $0.

EU · Frankfurt

GDPR compliant. ISO 27001. Data resident. EUR pricing available.

FAQ

Common questions about Microsoft Teams + Kibana

What can I automate between Microsoft Teams and Kibana?

Anything you can describe. Workflow connects Microsoft Teams (your team chat) and Kibana (your analytics) through a single instruction. Examples: when a new message is posted in Microsoft Teams, post the summary in Kibana; when a channel mention happens in Microsoft Teams, log the metric snapshot in Kibana. There's no limit to step count or branching depth.

Do I need to write code to connect Microsoft Teams and Kibana?

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 Microsoft Teams or Kibana 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 Microsoft Teams ships an API change or Kibana returns a new field shape. You don't maintain it.

How long does it take to set up?

Minutes. Authenticate Microsoft Teams and Kibana, type what you want to happen, review the plan Workflow generates, and start running.

Workflows built, run, and fixed by AI.

Stop maintaining automations. Workflow handles everything between Microsoft Teams, Kibana, and the rest of the stack.