The private AI operating system for Scrum ceremonies

Run every Scrum ceremony with intelligence, control, and proof.

CeremonyOS turns standups into structured delivery signal: private voice updates, story-aware facilitation, blocker tracking, minutes, and stakeholder briefs — with local-first AI and deterministic enterprise guardrails.

Local voice by default Governed tool execution Audit-ready workflows
CeremonyOS live session Local AI
Scrum Copilot Listening locally
ListeningTranscribingTool selectedMinutes ready
What did you complete since the last stand-up?
Completed design story. Today I’ll build infrastructure. No blockers.
CompletedDesign story
TodayInfrastructure
BlockersNone confirmed
record_status → update_minutes → resume_listening
50 / 50Golden conversations passing
32Scrum tool contracts
10 usersSimulated standup passing
Local-firstVoice and LLM supported on-prem

How it works

Every meeting step is visible, controllable, and auditable.

01

Run the ceremony

The AI facilitator asks for completed work, planned work, blockers, and clarifications without looping on answered questions.

02

Use delivery tools

The model can request tools for stories, assignments, blockers, actions, risks, decisions, minutes, and stakeholder summaries.

03

Enforce policy

Backend rules validate permissions, scope, idempotency, confidence, and approval requirements before anything is written.

04

Publish outcomes

Teams review minutes, actions, blockers, and stakeholder emails before external communication leaves the system.

Product

A Rally-style workspace for AI-assisted delivery.

Developers see assignments. Scrum Masters see ceremony progress. Admins control providers, routing, integrations, policies, audit, and kill switches.

CeremonyOS workspace screenshot
Workspace, setup wizard, assignments, and delivery metrics.
CeremonyOS meeting room screenshot
Hands-free meeting room with local AI state and tool timeline.

AI control plane

Local by default. Cloud only when policy allows it.

CeremonyOS is designed for teams that need control over models, tools, routing, and data movement.

LM StudioDeveloper and private pilot local runtime.
vLLMRecommended production local inference runtime.
BedrockCloud route for explicitly approved workloads.
Local voiceWhisper/Piper path with raw audio discarded.

Enterprise posture

Built for teams that cannot leak delivery context.

Policy-controlled autonomy

Allowed tools, recipients, cloud routing, working hours, confidence thresholds, and approval modes.

Audit and explainability

Tool calls, model routes, policy decisions, provider metadata, and material actions are recorded.

Private pilot packaging

Docker Compose, MySQL, local model runtime, readiness checks, install guide, security sheet, and pricing draft.

Private pilot

Start with one engineering team. Prove value before rollout.

Validate daily standups, minutes, blocker tracking, story creation, and stakeholder summaries before expanding to enterprise integrations.

10-user pilot One project workspace Local AI setup Daily standups Security documentation Stakeholder-ready minutes

Sales

Bring AI into Scrum without giving up control.

Request a private pilot and test the product with one real engineering team. Pilot requests open directly in email so no website database is required.

Request a private pilot

Email us with your team size, current Scrum process, and whether you want local-only AI or cloud-approved routing.

Email pilot request