Private AI Scrum Master for engineering teams

Run better standups without sending your team's voice or delivery data to the cloud.

Scrum Master AI facilitates daily Scrum conversations, captures developer updates, detects blockers, creates minutes, and prepares stakeholder summaries from a local-first workspace with policy-controlled model routing.

Request private pilot See how it works

Daily Scrum control center

Hi Asha. What did you complete since the last stand-up?

Finished login validation and started story API testing.

Captured. Any blockers?

CompletedLogin validation

TodayStory API testing

BlockersAwaiting update

Local voiceRaw audio discarded after transcription

Project-awareStories, roles, blockers, actions, minutes

Provider-neutralLM Studio, vLLM, Bedrock, compatible endpoints

On-premise pathDesigned for private customer deployment

Product

A Scrum Master that actually runs the meeting.

Teams do not need another form to fill. They need a facilitator that asks the right follow-up, remembers what was answered, links updates to work, and turns the conversation into useful delivery records.

Conversational standupsHands-free voice flow with local speech-to-text, local LLM reasoning, and local text-to-speech.

Structured updatesExtracts completed work, planned work, blockers, story references, risks, and actions.

Rally-style workspaceProjects, teams, stories, meetings, minutes, actions, and delivery dashboards in one place.

Stakeholder summariesGenerates clear minutes and sends approved summaries to project stakeholders.

AI Gateway

Local by default. Cloud only when policy allows it.

The application now uses a provider-neutral model layer, so teams can start with LM Studio, move production inference to vLLM, or enable Amazon Bedrock for approved workloads without rewriting the Scrum Master agent.

LM StudioDeveloper and small-team local runtime for private pilots.

vLLMRecommended local production runtime for higher throughput.

Amazon BedrockNative Converse API path with IAM, streaming, request metadata, and guardrail support.

OpenAI-compatibleConnect private gateways or compatible enterprise inference endpoints.

Workflow

From meeting to minutes in one flow.

1Create project

Add team members with roles like developer, tester, project manager, product owner, and stakeholder.

2Start standup

The AI facilitator asks for updates, listens locally, and avoids repeating already answered questions.

3Review minutes

Scrum Master reviews captured work, blockers, risks, decisions, and actions before publishing.

4Share summary

Stakeholder email is previewed first and sent only after explicit confirmation.

Security and privacy

Built for teams that cannot casually leak delivery data.

The pilot version is designed for private evaluation. The application runs with MySQL, local AI by default, local voice processing, signed login sessions, role-based permissions, model-route governance, and audited material actions.

Raw audio is deleted immediately after transcription.
Transcript retention jobs are scheduled for 90 days.
Cloud inference is disabled unless an administrator enables explicit route policy.
External summaries require human approval before send.
Admin console shows AI providers, model routes, policies, integrations, outbox, and audit activity.
Enterprise roadmap includes OIDC, Jira, Google Workspace, workers, and HA deployment.

Private pilot

Start with one engineering team.

AI Scrum Master Private Pilot

For teams that want to test local AI facilitation before committing to a full enterprise rollout.

Up to 10 users One project team Local or governed cloud AI Daily standups Minutes and actions Stakeholder summaries

Contact

Request a private pilot.

Use this first website to collect interested teams. Replace the email below with your business email when ready.