Business observability.
Pre-built AI agents. Chat interface.
Five AI agents come pre-built: change detection, journey mapping, forecasting, root cause analysis, and strategy. They watch your tools around the clock and send each recommendation to the right person. A human reviews every one before it becomes an action. You can chat with any source or query the full lake, on any LLM you choose, with no lock-in.
Detect. Diagnose. Recommend. Then watch the number move.
Here is the whole pipeline on one surface. The agents read what real visitors do, find the weak spot, and put a fix in front of a human. Approve it and the results show up in the same view.
Agents detect, diagnose, and recommend. You decide.
Agents run around the clock. When something changes, the pipeline kicks in, and a human reviews each recommendation before anything ships.
Detect
Watches every connected tool for changes, from a revenue drop to a sudden shift in ad spend. Anomalies surface in under 5 minutes.
Diagnose
Checks your data lake to separate causation from correlation. Every finding gets a confidence score. The models adapt as your data changes.
Recommend
Turns every finding into a ranked action list. Each action goes to the right person, tagged URGENT, HIGH, or FYI. A human reviews before anything happens.
What “a human decides” looks like in practice.
The gate is a text with one decision in it: what changed, what it is costing, what the fix would be.
The three repliesShow less
DETAILS if you want the reasoning first, YES if you do not. Nothing is touched before that reply, and UNDO keeps working after it.
An illustration of the product, rebuilt in HTML for this page. The clinic, the domain, the phone number and every figure in it are invented. Every yes becomes a row in your activity log with a one-click undo. Nothing changes on your site without your yes, and every change can be undone.
Then it becomes a row you can reverse.
Every approval is written down with the exact words that authorised it and kept for twelve months. You can go back and read who said yes to what, and undo it from the same row.
An illustration of the product, rebuilt in HTML for this page. The clinic, the domain, the phone number and every figure in it are invented. Nothing changes on your site without your yes, and every change can be undone.
Chat interface in action.
Ask a question against one source or the full lake. The answer comes back sourced, and you can save it as an action item or pin it to your dashboard.
↑ insights become actions and dashboards
Turn insights into action items or live dashboard widgets, assign tasks to your team, and share findings across departments. No BI tool needed.
Self-healing agents send alerts to the right person.
Set up departments and roles. Agents route each alert to the person who handles it. When your team changes, routing updates on its own. No noise.
Departments
Create departments like Marketing, Ops, Finance, and Executive. Each one sees only the data it needs. Agents learn each department's context over time.
User Roles
Assign roles and permissions per department: coordinators can see insights and save notes, directors can act on them, and admins control the setup.
Action Routing
Actions go to the person who handles them, tagged URGENT, HIGH, or FYI. The human reviews and decides.
Insights that route themselves to the right person.
Agents send each finding to whoever handles it. Save an answer as a note, share it across departments, and it becomes part of the company's shared knowledge. No dashboard digging.
A glass box, end to end.
askotter logs every step of its reasoning: what the AI found, what a human decided, and what shipped. You can audit the whole chain.
Every run, on every account, with what triggered it.
This is the screen that makes the rest of it checkable. If the platform did something, it is in the log with its trigger and its duration.
The agency activity log in the askotter portal. Example workspace, invented data.
Every tool is a queryable silo. Combined, they're a data lake.
Connect via OAuth, upload files, or point us at APIs. Already have Redshift, Snowflake, or BigQuery? We layer on top. No migration needed. Query one source or the full lake. Agents work across all of it.
Schema Normalization
Different tools use different names for the same thing. askotter maps them all to one format so queries work everywhere.
Entity Resolution
One customer shows up in multiple tools under different IDs. askotter links them into a single profile.
Event Deduplication
A purchase appears in Shopify, Stripe, and GA4. askotter counts it once. No double-counted revenue.
One platform for every vertical.
askotter works in any industry. Each business unit gets its own monitoring layer. Agents learn how you operate and adapt as things change.
Connect your tools and start chatting.
Setup takes under an hour, and the agents are running the same day. You stay in control.
Self-managed is $99/mo and scales with the compute you use. Our team runs it from $600/mo.