Imua Systems connects to your Jira and GitHub, runs an AI-powered diagnostic against your actual delivery data, and gives you the clarity to lead better decisions.
Your delivery copilot. You make the call.
Imua Systems is the infrastructure behind your delivery intelligence. AI agents connected to your existing tools, a scoring engine built on the Clearline framework, and a reporting layer that turns raw data into decisions your team can act on.
Claude-powered agents read your Jira board and GitHub activity in real time, identifying patterns that show up in your data but never in your retrospectives.
Every diagnostic is evaluated against the Clearline framework, six failure modes extracted from enterprise delivery work. Each is scored with evidence from your actual data, not opinion.
Structured reports that combine live board data with context gathered at onboarding, covering what your team currently measures across each failure mode, how formally, and where that data lives, to produce a complete, scored picture of delivery health.
A separate, ranked action list tied to your findings. Each recommendation is specific, scoped, and ordered by expected impact so you know where to focus your energy first.
Velocity goes up. Satisfaction goes down. Business results don't follow. The Clearline framework names six failure modes that explain why, and none of them show up on a burndown chart.
The inflation of perceived progress through velocity metrics that obscures whether value is actually being delivered.
You ship the same amount of work but the velocity chart trends up every quarter.
The inability to identify and defend a single highest priority, resulting in resources spread thin across competing demands rather than concentrated on what matters most.
Sprint reviews consistently explain why the important things moved to next sprint.
The use of directionally correct but operationally ambiguous language that avoids committing to the decisions that would resolve competing priorities.
Roadmaps change frequently but no one can name the decision that caused the change.
The assumption that uniform tools and processes produce uniform outcomes across teams operating in fundamentally different contexts, resulting in compliance without coherence.
Standardized metrics produce numbers that no one trusts enough to act on.
Operating without a direct, continuous line of sight to what customers actually value, resulting in a prioritization system that drifts from the outcomes customers most need.
Leadership asks why a completed project didn't move the metric it was built for.
The gradual degradation of leadership effectiveness when the behaviors that get rewarded diverge from the behaviors that actually create conditions for teams to do their best work.
Every retrospective agrees something needs to change. Nothing changes.
What a Finding Looks Like
Imua surfaces the exact tickets, sprints, and patterns driving your delivery challenges, combining live board data with the context you provide at onboarding to give you a complete picture.
The report below reflects a real diagnostic pattern. Ticket keys and team names are illustrative.
Average story size has grown 2.4x since Q1 with no corresponding increase in features shipped. Sprint velocity appears healthy at 84 points but cycle time per feature has increased 38%. The team is estimating defensively.
Imua integrates with your existing tools and runs the full diagnostic in your environment. You stay in control of every decision it surfaces.
A short data inventory captures what your team currently measures across each failure mode, how formally, and where that data lives. Takes under 15 minutes.
Authorize Imua to read your Jira board and GitHub activity. Setup takes under ten minutes and requires no workflow changes.
Receive a delivery health report with scored findings, named tickets, and a separate prioritized recommendation list. Your copilot surfaces the signal. You make the call.
Admin or project-level read access to the boards you want analyzed.
Read access to the repositories connected to your delivery work.
Imua runs on Claude. You bring your own Anthropic account and API access.
Every report combines live board data with the context your team provides at onboarding, pairing objective measurements with self-reported signals so nothing important gets missed.
A single number capturing the health of your delivery system, with a full breakdown across all six Clearline failure modes weighted by your team's context.
Named tickets, sprints, and patterns. You will know exactly where the friction is and what it is costing your team in time and focus.
A separate ranked list of actions tied directly to your findings, ordered by expected impact. You decide what to act on and when.
The Imua agent can help you act on recommendations directly, updating tickets, restructuring sprints, and surfacing dependencies in your board.
If you are responsible for delivery outcomes, Imua gives you the clarity you have been missing.
CTOs, VPs, and Directors who need to understand why their teams are busy but not delivering for the business.
Practitioners who want a diagnostic that names failure modes precisely, not another framework to layer on top of existing process.
PMs accountable for outcomes who need to understand whether delivery friction is technical, process-driven, or structural.
People accountable for sprint results who need objective data to have honest conversations with teams and stakeholders.
About
Imua Systems was built by someone who has lived the problem, coaching teams, running retrospectives, watching velocity metrics climb while stakeholder confidence eroded.
The Clearline framework is not theoretical. It is a set of failure modes extracted from years of enterprise delivery work, now operationalized into an AI platform that surfaces the real issues and supports better decisions.
Get Started
Complete the onboarding, connect your board, and walk away with a report your team can act on in under an hour.
Request a Demo