FloSenseGet Early Access

Stop chasing status. Start shipping with clarity.

GitHub
3 OPEN PRs
feat(payments): add 3DS retry flow#2341
fix: race condition in webhook handler#2338
chore: bump deps to fix CVE-2026-1184#2336
Jira
SPRINT 47
Onboarding redesign — at riskPROJ-1452
Refactor billing service — in reviewPROJ-1481
Q2 Roadmap epic — on trackPROJ-1390
Jenkins
CI / CD
deploy-staging — failed (timeout)#1287
e2e-suite — flaky (3 retries)#1286
build-main — passed in 4m12s#1285
Fireflies
3 RECENT MEETINGS
Sprint planning — 32 min12 talkpts
1:1 with Maya — scope concerns22 min
Customer call — Acme Corp45 min
#eng-flow
FLOSENSE
Sprint at riskSprint 47 is trending 3 days behind. 2 PRs are blocked by Jenkins deploy-staging failures, and Maya flagged scope creep on PROJ-1452 in the 1:1.
Re-run pipeline
Reassign PR #2338
Schedule scope sync
#payments-alerts
FLOSENSE
Reliability riskWebhook handler error rate up 4.2× since the last merge. Linked to PR #2338 and a flaky e2e-suite run — on-call already paged twice tonight.
Roll back PR #2338
Page reviewer
FloSense
AI agents for
Engineering execution
Your engineering stack — GitHub, Jira, Jenkins, Fireflies — emits signals all day.FloSense sits inside that stack and listens to every signal in real time.It correlates code, tickets, builds and conversations to find what's slowing delivery.Then it nudges the right channels in Slack — with the next action ready to take.

If Slack scrolled past you

AI agents for Engineering execution

Reclaim engineering bandwidth hidden in your workflows.

FloSense reads every signal across Jira, GitHub, Slack, CI/CD, and your standups — synthesizes them into a coherent picture — and acts before problems become post-mortems.

No spam. Early access only.

See how it works →
app.flosense.dev / signals
FFloSense
Overview
Live Signals
Risks
Actions
Teams
Reports
Live Signals
This week · 17 active signals
Synced live
Delivery risk
0▲ 12 pts
PR cycle time
0d▲ 0.6d
On-time rate
0%▼ 4%
Delivery risk · 14 days▲ 28%
Active signals

Sprint deadline risk increasing

Jira·Payments squad · 4 days to release·2m
High

PR review queue slowing velocity

GitHub·14 PRs open > 48h · auth-service·9m
Medium

CI failures linked to recent merge

Jenkins·Jenkins main pipeline · last 24h·14m
High

Backend team capacity overload next week

Linear·Platform team at 122% allocation·1h
Medium

Suggested action ready for approval

Reassign 3 PRs to unblock review queue · est. -1.5d

Integrations

Works with the tools your team already uses.

GitHub
Jira
Slack
GitLab
Linear
Jenkins
PagerDuty
Notion
Datadog
Asana
The problem

Why delivery feels harder than it should.

Too many disconnected tools

Critical signals live across Jira, GitHub, Slack, dashboards, and spreadsheets.

Hidden blockers surface late

By the time risks become visible, timelines are already affected.

Managers spend time chasing updates

Leaders often become coordinators instead of focusing on strategy.

Growth adds complexity

As teams scale, execution visibility becomes harder — not easier.

What FloSense does

The system of AI agents for engineering execution.

Spot blockers and delivery risks early.

FloSense continuously watches sprint health, PR throughput, CI signals, and team capacity to surface risks long before deadlines are at stake.

  • Sprint risk scoring
  • Velocity anomaly detection
  • On-call & incident pressure
PreviewLive
Payments squad — sprint risk78%
Platform — capacity load64%
Growth — review latency42%
3 risks detected this morning.
FAQ

Questions, answered.

Built for teams that need to move fast without losing control.

Join early access and help shape the future of engineering execution.

No spam. Early access only.