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. They send each recommendation to the right person. A human reviews every one before it becomes an action. Chat with any source, query the full lake, and pick any LLM. 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. Recommend. You decide.
Agents run around the clock. When something changes, the pipeline kicks in. AI recommends. Humans decide.
Detect
Watches every connected tool for changes. Revenue drops. Traffic spikes. Ad spend shifts. Anomalies surface in under 5 minutes.
Diagnose
Checks your data lake to find the real cause. Not correlation, causation. 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.
Chat interface in action.
Ask a question. Pick one source or the full lake. Get a sourced answer. 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. Save notes. 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 see insights and save notes. Directors take action. 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. Teams that upskill themselves.
Agents send findings to the right person. Save answers as notes. Share them across departments. Build shared knowledge. No dashboard digging.
A glass box, not a black box.
Most AI tools hide their reasoning. askotter logs every step: what the AI found, what a human decided, and what shipped. You can audit the whole chain.
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. 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. Train your agents. Start chatting.
Set up in under an hour. Agents running the same day. You stay in control.
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