Frontier AI agents that never sleep.
Your product generates millions of signals. Your team can't watch them all. Flowgrid's agents find what changed, work out why, and bring you only what deserves your attention.
Autonomous by design
The watch checks your metrics between one look and the next
Plain Language Query
No query language, no ticket to the data team
You approve changes
The agent opens the pull request. A person merges it
Four agents,one set of numbers for every team.
Growth asks the data agent why signups moved. Leadership reads the report agent's weekly write-up. Engineering reviews the coding agent's pull request, and the watch flags a shift before anyone goes looking. All four read the same events, so teams argue about what to do, never about whose figure is right. Roles decide who sees what and who approves, and nothing ships without that approval.
Which step of onboarding loses the most people?
- Read the onboarding funnel
- Watched 14 replays at the drop
- Matched the people to your CRM
Email verification loses 31% of signups
More than every other step combined, over the last 30 days.
- Account created1,240
- Email verified856−31%
- First board790−8%
The data agent
Ask in plain words and it reads your numbers, replays and customers before it answers, then shows what it checked. It also drafts boards, flags and CRM follow-ups for you to approve.
Weekly report
20 to 26 October, for the growth team
- 01What movedSignups down 12%
- 02Why it movedEmail verification
- 03What it cost41 signups
- 04Next steps2 to approve
The report agent
A document, not a dashboard link: what moved, why, what it cost or earned, and what to do next. Share it with a link, export it as a deck, or schedule it.
38export function PlanFilter({ onChange }: PlanFilterProps) {39 const select = (plan: string) => {40 onChange(plan)41+ fg.capture('plan_filter_applied', { plan })42 }43 return <Select onValueChange={select} />44}
The coding agent
Works in the GitHub or GitLab repository you connect. It reads before it edits, shows you the change, and opens the pull request only after you approve.
Signups, unusually lownow
Down 38% on Tuesday against your usual
Ask the agent whyThe watch
Checks your metrics on a schedule and flags only the shifts that are large and unusual for your website. The check is plain code, so no model writes the figure.
Detect +2s
Drift flagged
Checkout conversion scores as an anomalous day against its own series
Explain +6s
Cohort named
1,240 of those sessions are mobile Safari — every one of them on the promo field
Propose +10s
Change proposed
The branch, the diff and the files it touches. Nothing has run yet
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.
You ask what changed. It finds the cause, writes the fix, and opens the pull request.
Bringing you the work, even when you’re away
Your agents don’t clock off.
The work is done when you’re back.
Schedule the report, set the watch, connect the CRM. Flowgrid runs them on time, with fresh data, and brings you the result.
Pick a report and a schedule. Each period the agent builds it again from that period’s data, a fresh run rather than last month’s slides with new numbers, and emails the team a link to it.
Every figure is checked against your data before it goes out, and the report shows how it was built: what the agent looked at and how long it took.
Ask, and it reads.Ask it to act, and it drafts.
Reading your data needs no permission. Anything that changes your setup, your CRM or your code arrives as a card, and nothing happens until someone clicks Approve.
Why did signups drop last week, and what should we change?
Pull request: fix the card-expiry check in PaymentForm.tsx. Evidence attached.
Read, draft, approve