What you already have
Ingest Jira for the dev teams, and use the built in deterministic engine (Gantt, critical path) for the buildout, compliance and infrastructure work that never lived in Jira.
ProjectMetrix
ProjectMetrix
AI-assisted Strategy Execution Management · for enterprise IT PMOs
ProjectMetrix uses AI to read across your schedules, Jira, risks and notes, ties every project to the strategy it serves, and drafts evidence-based status for your PMs to review, so your teams spend their time steering the work, not reporting on it.
One evidence-based view for the PMO, teams and leadership, grounded in a real scheduling engine and AI that reads the work you already do.
Illustrative, sample data
Most goal tools float above the work, a slider someone remembers to drag. ProjectMetrix is anchored to a real scheduling engine, your Jira, and the risks and notes underneath, so the picture reflects what is actually happening, and everyone sees the same one.
See which objectives have real work behind them, which are still unresourced, and where effort is drifting off strategy, early enough to realign rather than after a miss.
The AI reads schedules, Jira, risks and notes and surfaces the few things that genuinely need attention, with the evidence attached, so PMs respond early instead of firefighting late.
From a goal down to the Gantt, risks and notes that serve it, and from any status back to the evidence behind it. Board ready and defensible, so you can stand behind every number.
Strategy flows down into the work; outcomes flow back up and show whether the strategy is being served. Wrapped around every stage is the Project Intelligence engine, reading and reasoning continuously, so each pass produces evidence for the next, and every change to the plan still passes through a human.
Strategy to Programs to Projects to Measure to Trace, and back to Strategy. The loop closes when lessons flow back in.
Ingest Jira for the dev teams, and use the built in deterministic engine (Gantt, critical path) for the buildout, compliance and infrastructure work that never lived in Jira.
Map projects to the objectives they serve, with AI suggestions, so every initiative traces to a goal, and every goal shows its real work.
The AI offers an early heads-up when the schedule, Jira, risks and notes drift from the plan, and flags blind spots (stale data) rather than guessing.
Leadership sees how each objective is progressing: coverage gaps, emerging risks, where to focus, confidential by design, the same facts for everyone.
Project Intelligence is a tireless assistant for your PMs. It reads the Jira updates, parses the meeting notes, and tracks schedule drift to draft an evidence backed status, so Thursday afternoon starts with a draft to review rather than a blank box and two hours of chasing.
The AI finds the few risks that threaten a goal, drafts the weekly status from real evidence, and points out goals with no active work, early, with the sources attached. The PM reviews, adds their judgment, and approves.
It does the tireless reading. The person makes the call.
You added: "Escalated to facilities; power review booked Monday."
AI can only give genuine insight if the project data is trustworthy. That is why the scheduling engine came first: it turns a task list into something the AI can reason about, simulate against, and be held to. The screenshots below are the live product.
Plans of a thousand tasks and more, with an editable grid beside an interactive Gantt. Durations, dates, predecessors, constraints and resources are all editable inline; the engine recomputes the entire network on every edit and the chart redraws immediately.
Filter to the critical path and the plan collapses to the chain that actually drives your finish date. These are the tasks where a day lost is a day lost on the project.
Any change you are weighing can be simulated first. The what-if tool shows which tasks move, which milestones slip, and what it does to the finish date before anything is written, so you confirm or you don't. And the assistant answers "how are we doing?" in plain language, grounded in your projects and documents, citing exactly what it read.
Every status color comes with the reasons behind it: how far the finish date has slipped, how delivery compares with the plan, which risks are live, and what is overdue. Baselines make plan-versus-actual visible instead of anecdotal.
Objectives and key results, with the projects linked to the results they are meant to move. Each key result shows two numbers side by side: the business outcome, and the delivery progress rolled up from the schedule.
When delivery reads 100% and the outcome reads 40%, that is the conversation worth having. We shipped it, and it did not move the needle.
Keep them all. ProjectMetrix is the strategy execution layer that connects them into one evidence based view.
| You already have… | It tells you | ProjectMetrix adds |
|---|---|---|
| Jira / ticket trackers | What is being worked on. | Whether that work is enough to deliver the strategy, on the current plan. |
| OKR / goal tools | A tidy tree of goals and key results. | The real work, schedule and risks behind each goal, with an early heads-up when a goal is under resourced. |
| Dashboards & BI | Slices of data, self reported. | A deterministic schedule spine with explainable AI on top. Insight, not just charts. |
| PPM / SPM suites (Jira Align, Planview, Clarity) | Power, after nine months and a Big Four implementation. | A strategy execution view in weeks, mapped to your reality, no consultants, no rigid framework. |
The scheduling and data foundation came first on purpose: an AI that reasons about delivery is only as good as the schedule underneath it. What is here today is honest, and so is what isn't. ProjectMetrix is pre-launch, so there is no customer delivery history yet for Project Intelligence to learn from.
One account per customer, deployed to your instance. No cross customer data, and your data never trains public models.
Real Jira is imperfect. ProjectMetrix does not guess. If hygiene is poor or dependencies are missing, it flags the blind spot and tells you exactly what to fix.
No productivity scores, no individual monitoring. It evaluates projects, plans and objectives, and every suggestion is explainable and overridable.
The same evidence based picture for the PMO, the teams, and leadership, so the conversation starts from shared facts, and ends with the team being supported.
ProjectMetrix is built and delivered as a tailored deployment for each customer rather than a self-serve signup. If you run a PMO and the problems above sound familiar, or you would like a walkthrough of the product, I would like to hear from you.