AgileOS AI Labs builds delivery-intelligence tools that surface sprint risk, spillover patterns, and team health directly from your Jira data — plus hands-on software engineering, data, and cloud services for enterprise teams.
AgileOS AI Labs was founded on a simple observation: Scrum Masters and Release Train Engineers spend more time chasing status updates and building slides than coaching teams. We've lived that problem from inside enterprise SAFe environments across telecom, semiconductor, and e-commerce delivery — and we built the AI layer we wished we'd had.
Today we design AI-native tools that plug directly into Jira and the Atlassian ecosystem, turning raw sprint data into decisions: where risk is building, which team needs support, and what a Scrum of Scrums actually needs to talk about this week.
That same practitioner discipline now extends well past agile coaching. Our engineering, data, and cloud teams deliver full-stack services tailored to the compliance, scale, and technical demands of each industry we serve — from SLA-bound release trains in telecom to validation-grade reporting in healthcare and audit-ready pipelines in banking.
Our dashboards are designed to read directly from live Jira data, not static mockups.
Designed by certified Scrum Masters and SAFe practitioners, not just engineers.
Native Jira and Atlassian integration — no migration, no rip-and-replace.
Spillover creeps up sprint after sprint and nobody notices the pattern until it's a trend, not an incident.
Scrum Masters and RTEs lose hours a week building the same status slide from the same Jira boards.
By the time a sprint's health shows up in a retro, the window to actually course-correct has usually passed.
Install and authorize with OAuth 2.0 — read-only access to the projects and boards you already have permission to see.
Issues, sprints, boards, and changelogs are pulled live via Jira's REST API — no manual exports, no spreadsheets.
A configurable weighted model scores sprint risk and spillover so you know where to look first — not just a wall of charts.
A Scrum Master dashboard that lives inside Jira, built to surface sprint risk signals from your team's real sprint data.
A set of admin utilities for teams running larger Atlassian estates — aimed at admins, RTEs, and platform owners who need more than the stock tooling.
Reference material on the standards our tools are built on, how we handle your data, and what early access costs. Written for engineers, admins, and anyone evaluating a fit with their stack.
Our tools authenticate against Jira and Confluence Cloud using OAuth 2.0 (3-legged) and Atlassian Connect app frameworks — the same standards Atlassian documents publicly for third-party apps. No credentials are stored outside Atlassian's own token flow.
Dashboards pull from Jira's REST API (issues, sprints, boards, and changelogs) to compute metrics — nothing is entered manually and nothing is synced to a separate database beyond cached aggregates.
Automation rules subscribe to Jira webhook events (issue updated, sprint started/closed) rather than polling, so boards reflect changes within seconds of them happening in Jira.
Access follows each user's existing Jira project permissions — a tool user can only see the projects and boards they're already permitted to see inside Jira itself.
We don't duplicate your Jira instance. Reporting data is computed on read and cached briefly for dashboard performance; raw issue data isn't retained after a session ends.
For the underlying platform APIs our tools build on, Atlassian's own developer documentation is the authoritative reference — we link out to it rather than duplicate it, so it stays current as Atlassian updates their platform.
Time from when work starts on an issue (first "In Progress" transition) to when it's marked done. Reported as a distribution, not just an average, since outliers skew a single number.
Count of issues completed per time window (e.g., per sprint or per week), independent of story points — useful when point estimates vary in size or aren't used consistently.
Issues committed to a sprint that weren't completed by sprint end, carried into the next sprint. Tracked over time to spot planning or scope patterns.
Number of issues actively in a non-done, non-backlog status at a point in time. High WIP relative to team size is one input into a risk score, not a judgment on its own.
Only the Jira/Confluence scopes required for the feature you enable (e.g., read issues, read sprints). We don't request write access unless a specific automation feature calls for it, and each scope is listed at install time.
All traffic between your browser, our services, and Atlassian's APIs runs over TLS. Nothing is transmitted or stored in plain text.
Your Jira data, issue content, and usage information are never sold or shared with third parties for advertising or any other purpose.
Uninstalling the app or emailing us revokes access tokens and deletes any cached aggregates we hold within 30 days.
Early access — contact us
For single teams trying AgileOS AI-SM on one Jira project.
Early access — contact us
For multiple teams and Release Train Engineers running several boards.
Custom — contact us
For large Atlassian estates with compliance, SSO, or custom rollout needs.
We're in early access — final published pricing will go live alongside our Atlassian Marketplace listing.
Our models and playbooks are calibrated against the delivery patterns, compliance demands, and ART structures of each industry we operate in.
Multi-ART release trains coordinating network, OSS/BSS, and customer-facing platforms at carrier scale.
Hardware-software co-development cycles with long lead times and tight tape-out deadlines.
High-velocity squads shipping continuously through peak seasonal demand windows.
Regulated delivery pipelines requiring full auditability and change-control evidence.
Quality-system-bound delivery with validation, traceability, and risk documentation built in.
Connected-product teams bridging embedded firmware, IoT, and enterprise software ARTs.
We pair our products with hands-on delivery, engineering, and data expertise to help enterprise teams modernize end to end.
End-to-end coaching for ARTs adopting SAFe, from PI Planning design to RTE enablement, led by certified practitioners.
Custom Atlassian app development, Jira automation, and data pipelines that connect your tools into one delivery picture.
Custom-trained risk and flow-metric models tailored to your team's historical velocity and delivery patterns.
Embed AgileOS AI-SM into your ceremonies with guided onboarding and a dedicated success engineer.
Certification-track workshops on AI-augmented Scrum Mastery for teams and individuals entering the discipline.
Dedicated implementation partners for large enterprise rollouts across multiple ARTs and business units.
Full-cycle product engineering — architecture, web and mobile development, and API design for enterprise platforms.
Cloud migration, CI/CD pipeline design, infrastructure-as-code, and platform reliability across AWS, Azure, and GCP.
Data pipelines, warehousing, and BI dashboards that turn fragmented enterprise data into a single source of truth.
LLM application development, model fine-tuning, and MLOps for teams building AI features into their own products.
Enterprise-grade design systems, usability research, and interface design for internal tools and customer products.
Application security reviews, access governance, and compliance readiness for regulated industries.
We hire across experience levels — from seasoned RTEs to graduates writing their first production code. Every open role below is live.
Ship the product. AI integrations, Chrome extension architecture, Jira-native tooling.
Turn raw delivery data into signal, and make sure every release meets the bar.
Bring SAFe and Scrum expertise to our customers and our own product roadmap.
Shape what we build next and help customers understand how it fits their delivery process.
From Hyderabad to the Middle East to Europe, our teams sit close to the customers and ARTs we serve.
Engineering & Product HQ
Core product, AI, and platform engineering team.Middle East Delivery Hub
Customer success and enterprise rollout for the GCC region.European Operations
EU customer delivery, compliance, and partnerships.Whether you're evaluating AgileOS AI-SM, exploring PowerKit, or applying to join the team — we'd like to hear from you.
Contact AgileOS AI Labs