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Frontier analyst agent that never sleeps.

Your product generates millions of signals. Your team can't watch them all. Flowgrid's AI Agents can find anomalies, investigating why they happened, and surfacing what deserves your attention.

The roster

Four agents, one set of numbers.

They are not four products with four logins. Each one reads the same event stream your dashboards run on, so the anomaly the scout flags is the same session the analyst quotes and the same release the reporter writes up.

Scout

Anomaly finder

Ask what changed and it sweeps every metric for you — returning the one that drifted, the cohort it hit, the replay of it happening, and the release it started after. The regression gets named while it is still costing you, not months later.

Analyst

On-demand analyst

Ask in plain English and get a chart, a cohort and a paragraph that actually answers it — with the numbers it used shown underneath. Anyone on the team can ask; nobody has to learn a query language or wait on the data team.

Experimenter

Experiment proposer

Reads where the funnel leaks, proposes the tests worth running against it, drafts the variant and writes the tracking to measure it. You set the flag live and decide what ships — it just removes the week of setup before you can find out.

Reporter

The write-up

A document, not a dashboard link: what moved, which deploy it followed, what it cost or earned, and the next thing worth fixing. Ask for it when you need it, then share it with a link or hand it over as a deck.

Duty log · one incidentRan at 06:00 · read at 08:41
06:00Every KPI recomputes itself for the day just finished.Nobody pressed refresh
〜〜〜2h 41m later · you open the dashboard
DetectExplainPropose
+0s·+4s·+8s·+12s

+2s

Drift flagged

Checkout conversion scores as an anomalous day against its own series

+6s

Cohort named

1,240 of those sessions are mobile Safari — every one of them on the promo field

+10s

Change proposed →

The branch, the diff and the files it touches. Nothing has run yet

08:44You authorize it. Nothing had shipped until you did.

One incident · one pass · one event stream

Ten seconds to explain it. One decision, and it was yours.

The 06:00 pass recomputes every KPI with nobody watching. Opening the dashboard runs the analysis over it — the anomalous day, the cohort underneath it, and a change proposed with the files it touches. Then it stops and waits. It can raise the change; only you can merge it.

What teams see

autopilot for your product intuition.

24/7 fully Autonomous

The scout watches every metric between one look and the next

Plain English Queries

No query language, no ticket to the data team

You approve changes

The agent opens the pull request. A person merges it

Autonomous agents

You ask what changed. It answers, writes the fix, and opens the pull request — before anyone has to go looking for it.

Try shipping with it
Ask anything

You ask. It just answers.

Type it. Say it. Watch the answer stream back — the chart and cohort attached, no query language required.

  • Which step of onboarding loses the most people?
  • Why did organic traffic fall but conversions hold?
  • What are people doing right before they abandon checkout?
  • Which accounts are researching us right now?
Also built in

Two more things the agents already do.

Not on the roster above because they are not agents of their own — they are what the roster is built on top of.

AI-native reporting

Reports are written from the same event stream your dashboards run on — a narrative with the numbers behind every claim, not a slide deck built by hand. Share it as a link, or export it as a deck.

Org memory

The agent remembers what you have already told it — a decision made, a definition agreed on — so you are not re-explaining the same context every time you open a new conversation.