Now shipping — Scrum Agent v2

Your sprints,
run by agents that
actually give a damn.

Storypoint drops a team of AI scrum masters into your existing board. They watch capacity, chase blockers, spot the drag, and nudge the right humans — so your engineers write code instead of status updates.

Book a demo See the agents in action

✓ Works with Jira, Linear, GitHub ✓ Read-only by default ✓ SOC 2 Type II

// Agents at work

Not a dashboard. A coworker.

Watch the Scrum Agent catch the stuff your team forgets to flag — stuck tickets, reopened bugs, hidden blockers — and actually do something about it.

storypoint · sprint 24 · board

Live sprint

To Do 3

SP-256

Wire new chart tokens to Design System v3

FrontendP2

SP-259

Export CSV from Insights view

BackendP3

SP-262

Empty-state illustrations for dashboard

Design

In Progress 2

SP-241 IDLE 6D

Real-time filters on Analytics Dashboard

FrontendP1

SP-248

Onboarding tour refresh

Frontend

In Review 2

SP-198 REOPENED ×1

Session drops on long-running cohort queries

BackendP1

SP-234

Share saved views with team

Frontend

Done 7

SP-231

Graph background contrast fix

Design

SP-228

Index cohort_events.user_id

Backend

SP-224

Audit dashboard a11y

Frontend

Scrum Agent

ping · SP-241

Scrum Agent

escalate · SP-198

// What the agents do

Every standup ritual — minus the ritual.

Capacity, honest

Agents read closed-door PTO, meeting load, and WIP to flag when a sprint is over-committed — before commit day, not after.

Blockers, surfaced

Dependency graphs get re-drawn every hour. When something red touches your critical path, the right humans hear about it.

Follow-ups that actually follow up

Not another Slackbot. Agents remember context, read the thread, and DM the right person at the right hour in their timezone.

@maya · SP-241 · 4h

@jun · review PR #3412 · 2h

@priya · copy sign-off · EOD

Find the drag in your system

Cycle time spiking on backend reviews? Scope creep on "small" tickets? Agents spot the patterns your retros miss, and show you exactly where the friction lives.

Standups you skip with pride

A sharp written summary every morning: what moved, what's stuck, who needs what. Keep the meeting if you want — most teams drop it by month two.

// Ask anything

The PM you'd clone, if ethics allowed.

Every comment, PR, standup, and Slack thread — read, cross-referenced, and ready to answer in plain English.

storypoint · ask

Scrum Agentreading · sprint 24 · dashboard v2

Ask about any story, sprint, or blocker…

// Beyond the agents

And when the problem is bigger than a sprint.

Our consulting practice works with leadership teams to find the parts of your business where AI actually moves the needle — and the parts where it's just a shiny distraction. We build, we advise, we don't do decks.

AI opportunity audit

A two-week deep-dive across your stack and workflows. You get a ranked map of where AI pays back in 90 days, 6 months, and never.

Bespoke agent builds

We design, ship, and babysit the agent. Built on your data, wired into your tools, handed over with runbooks.

Fractional AI leadership

A senior operator embedded with your team one day a week, translating strategy into shipped work. No decks.

Engagement · wk 3 / 12

● live

Map the workflow

interviews · time-motion · data inventory

Rank the opportunities

ROI model · risk · build vs buy

Build the first agent

scoped · measurable · shipping

Wire into production

monitoring · guardrails · runbooks

Hand off

your team owns it · we stay on call

// Measured, not promised

What teams see in the first 90 days.

Aggregated across 40+ engineering teams running Storypoint on an active sprint.

Velocity

+34%

↗ story pts / sprint

Cycle time

−41%

↘ p50 days · open → merged

Unplanned pickup

−58%

↘ mid-sprint scope creep

Standup time

−6h/wk

↘ per engineer, avg.

// FAQ

The questions eng leads ask us first.

Does it actually touch my board, or just watch?

Your call. Start in read-only — agents post summaries and suggestions only. Flip write-access on per-agent, per-action (comment, tag, move, re-estimate). Every write is logged and revertable.

What tools do you integrate with today?

Jira, Linear, GitHub, GitLab, Slack, Notion out of the box. Custom adapters typically ship in two weeks for anything with a half-decent API.

Where does our data sit?

Your cloud, your region — AWS, GCP, or Azure. We deploy per-tenant. No model training on your data, ever. SOC 2 Type II, GDPR, and BAAs available on request.

Will my team hate it?

Probably for a week. Agents stay polite, tagged, and easy to mute. By week three, most teams ask us to make them louder. If not, we refund — no lock-in.

Is this just GPT wrapping my standups?

No. Each agent has a planner, a memory of your team and repo, and tool access that's scoped per action. LLMs do the language part; the interesting part is everything around them.

How does consulting work with the product?

You can buy either or both. Consulting engagements often ship a custom agent on top of Storypoint's platform — you get faster time-to-value, we get a reference build.

Your sprints,
run by agents that
actually give a damn.

Not a dashboard. A coworker.