Meet Sasha. The AI agent every software delivery team needs.
The meeting ends.The work is already moving.
Sasha listens. Understands. Acts.
Sasha turns scattered Product and Engineering conversations into a real time execution intelligence and context layer, capturing decisions, driving actions, surfacing blockers and risks, and showing what needs attention before work falls behind.
Trusted by software teams at
- Opsway
- PlugScale
- Opolis
- NinjaHire
10 integrations · Slack optional
See it work
What happened.What matters.What's next.
For teams and individuals
One layer across every tool the team already runs
Sasha works across standups, planning, Slack, Jira and GitHub, so nobody spends their week reconstructing what happened or who owns what.
See the six workflowsWhere the week goes now
- Prepping status for the next meeting
- Updating Jira by hand
- Chasing down who owns what
- Re-deciding what was already decided
What Sasha absorbs
- Standups roll up on their own
- Tickets created and kept current
- Owners captured as work is assigned
- Decisions searchable weeks later
For product development teams
Product decides. Design refines. Engineering ships. Sasha keeps them in sync.
Decisions, requirements, blockers and scope changes happen across meetings, Slack, Jira and GitHub. Sasha captures the context as work changes and carries it into the tools your team already uses.
Product & program
Turn conversations into ready work
- PRD updated
- Epic → Story → Task
- Acceptance criteria
- Decision history
- 2–4 hrs
- saved after a planning session
- 28.7 hrs/mo
- illustrative reporting admin saved
- 8 hrs/mo
- illustrative blocker delay avoided
- ~$5.3K/mo
- illustrative coordination cost recovered
One conversation. The right context for every role.
You run 5–15 client engagements at once. You get paid for delivery you can't prove.
Across every client's tracker, repo and Slack — and now across mixed teams of people and agents. The gap shows up in three places: disputed invoices, unbilled change requests, and work you absorbed without ever charging for it.
Time & materials
30–80%
over estimate
Engagements run long and every invoice becomes a negotiation you have no record to argue from.
Invoice-defense records
Fixed price
72%
overrun the budget
Projects land 30–150% over, and unbilled change requests are the single biggest contributor.
Change-order drafts
Retainer
78%
rarely bill out-of-scope work
Everything outside the agreement gets absorbed quietly — 20–30% over-delivery, month after month.
Weekly delivery reports
Proof, not recollection
Every commitment made in a call or a thread is checked against merges, ticket state and deploys — shipped, in progress, stale, or contradicted — with evidence links, and attributed to the person or the agent that did the work.
8–12hrs/week
per account, spent rebuilding status by hand. None of it billable.
Reclaim your team's timeContext for your AI tools
Better engineering
memory for
AI-assisted
development
AI coding tools are only as good as the context they get — and the reasoning behind the code lives in planning calls, standups and customer conversations, not in the repo. Sasha turns those into repo-ready memory for Claude, Cursor, and everyone on the team.
AI-assisted development needs better engineering memory,
not just better prompts.
Context lives in
conversations
- Planning calls
- Daily standups
- Product refinements
- Architecture discussions
- Customer conversations
Sasha
Listens. Understands. Turns conversations into engineering memory.
Engineering memory
for your AI tools
- CLAUDE.mdRequirements & decisions
- Cursor rulesContext for code generation
- Architecture notesDesign & technical decisions
- Decision logRationale & trade-offs
- Engineering notesImplementation context
What gets lost without Sasha
Decisions, edge cases, workarounds, implementation changes and trade-offs disappear the moment the conversation ends.
Integrations
One context layer. Across your delivery stack.
Sasha connects the conversations where decisions happen to the tools where your team plans, builds and delivers.
Meetings
- Google Meet
- Microsoft Teams
Workflow
- Slack
- Jira
- GitHub
- Confluence
Scheduling
- Google Calendar
- Outlook
AI tools
- Claude
- Cursor
Before you ask
Questions buyers ask first
Is Scrummer just a meeting recorder?
No. It can summarize meetings, but the product exists to turn conversations into work — Jira tickets, PRDs, backlog hierarchy, blockers, reports, and reusable context.
Will this replace Jira?
No. Scrummer makes Jira more accurate, by capturing updates, decisions, blockers, and scope details from the places where work is actually discussed.
Will this create more noise?
The goal is the opposite. Scrummer surfaces concrete, actionable signals — blockers, drift, missing context, stale work, and decisions that need follow-up.
What does the team need to change?
Very little. Connect the tools you already use, let Sasha join meetings or run async check-ins, and outputs come back to your existing channels and boards.
What's the fastest way to see value?
Run Scrummer on one planning meeting and one week of standups. Compare the manual PRD and ticket effort, blocker visibility, and reporting effort before and after.
Run it on one planning meeting and one week of standups
That's the fastest way to see what Sasha actually changes. Connect Jira and your chat tool to start.