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Notis

Connect Ai ml api to Databricks

When something happens in Ai ml api, Notis takes the next step in Databricks. Describe what you want in plain English, or start from one of the examples below.

When this happens · Trigger

Do this · Action

Examples

Ways Notis can move work from Ai ml api to Databricks

View example

Validate a storage credential before a data refresh

Validate a Unity Catalog storage credential on demand and summarize whether it is ready for its next data refresh.

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Review catalog connections on a schedule

Have Notis periodically retrieve details for specified Unity Catalog connections and summarize their configuration for review.

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Summarize direct catalog grants on request

Request a review of direct Unity Catalog grants for a securable and get a concise summary of the returned assignments.

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Summarize effective Unity Catalog permissions

On a recurring schedule, retrieve effective permissions for a specified securable and summarize direct and inherited access.

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Get a Databricks app deployment brief

Request current details for a named Databricks app and have Notis summarize its configuration and deployment status.

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Track Databricks app update status

Have Notis check the current configuration update status of a Databricks app on a schedule and report the result.

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Review who can access a Databricks app

Request an app's access control list and have Notis summarize users, groups, permission levels, and inherited access returned.

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Keep catalog details in a recurring digest

On a recurring schedule, retrieve details about specified Unity Catalog catalogs and summarize their metadata and configuration.

View example

Get a Unity Catalog metastore brief

Trigger a lookup of the current workspace metastore summary and have Notis turn its configuration overview into a brief.

Supported Triggers and Actions

Notis builds workflows that link Ai ml api to Databricks. A trigger fires from one place; an action lands in another.

Ai ml api triggers

Databricks actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Add Member to Security Group

Adds a user or group to a Databricks security group.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Delete Custom LLM Agent

Irreversibly deletes a custom LLM agent and all its associated data.

ActionInstant

Create Databricks App

Creates a Databricks app in the workspace.

ActionInstant

Delete Databricks App

Deletes a Databricks app and its associated service principal.

ActionInstant

Deploy Databricks App

Deploys an app from workspace source code and provisions its compute resources.

ActionInstant

Get Databricks App Details

Retrieves an app’s configuration, deployment status, resources, and metadata.

ActionInstant

Get Databricks App Permission Levels

Lists the permission levels available for an app.

ActionInstant

Get Databricks App Permissions

Retrieves who can access an app and their permission levels.

ActionInstant
Trigger Types

Four ways to start an automation.

A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.

Integration triggers

Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.

New Notion pageStripe chargeCalendar event

Webhook triggers

A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.

Any HTTP POSTCustom backendIoT event
Works with
ZapierPipedream
Most used

Recurring triggers

Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.

Daily · 8:00HourlyWeekdays only
Coming soon

Database triggers

Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.

Row insertedValue > limitQuery match
Why AI automation

Classic automation breaks. AI adapts.

Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.

Classic automationAI automation
Cost
$ · pay per run
$$ · AI models per run
Reliability
Breaks on schema change
Adapts to format changes
Setup
Click 8 dropdowns
Describe it in English
Handles fuzzy
Hard-coded fields only
Reads intent, summarises
Human in loop
Bolted on
Built in · approval inbox
Maintenance
You own every break
Self-heals · we own it
Ease of use

Describe it. Notis builds it.

Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.

Notis

You · in the Notis Builder

NEW

“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”

Notis built this automation:

TriggerRow added to "Q4 OKRs"
Condition✦Status = "Blocked"
AI step✦Summarise the blocker in plain English
ActionDM the row owner with summary
Timeout✦No reply in 24h → ping you
Observability

Watch every run.

Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.

  • Full run history with inputs, outputs and traces
  • Replay any run with edited inputs
  • Approval inbox, confirm via chat in one tap
  • Audit logs for compliance teams

Automations

Inbox

All12Manager5Telegram1Messages0Whatsapp2Email4Slack8

Migrate background jobs to a durable queue You can cancel it through Stripe

3 days

Notis v3 release update This one’s v3: Notis Manager (desktop app with …

8 days

Add multi-tenant RBAC User initiates a voice call

13 days

Draft pricing v (tiers, limits, overages) and sanity-check margins

2 weeks

Verify analytics events for new features That’s a really interesting automat…

1 month

Everything in the box.

Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.

AI in the middle

Every step can include an LLM call: summarise, classify, extract, rewrite.

Full observability

Every run, every step, every input, all replay-able from Mission Control.

Human in the loop

Pause for approval. Notis pings you in chat with one-tap approve.

Self-healing

When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.

Related pairs

More ways to connect Ai ml api and Databricks

Connect any two apps with Notis in the middle.

Ai ml api and Databricks, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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No card. Works with personal or business Databricks.