Fractalis Work
Catch the risk before it compounds.
Delivery & drift intelligence
Live judgement across GitHub, Jira, Figma, Notion, Slack and Confluence — for ICs, managers, and the C-suite alike.
Part of Fractalis — one platform, built as multiple modules. Work is the operational half: it reads how delivery actually moves, across every tool your team already uses. It stands on its own.
Your status says "on track." Meanwhile the design changed after the build started, a cancelled ticket is still shipping toward production, and the decision that would've stopped it is buried in a Slack thread. Everyone feels something's off. No tool that reads one system at a time can say what.
Work can. It links the tools your team already uses — GitHub, Jira, Figma, Notion, Slack, Confluence — into a single, connected context. That's what lets it see what no single-tool product can.
Nothing slips. Nothing hides. Catch the drift before the damage.
Four layers of insight.
Four layers, each compounding on the last — and all of it deterministic: the same inputs give the same answer every time, every conclusion with its evidence trail and a confidence you can see. Much of it proprietary, computed by no one else. All of it filterable through the operational lenses: Flow, Quality, Drift, Discipline, and Risk.
Direct insights
What one tool holds.
One tool, read for judgment. A critical change merged without a real review. A rework loop nobody named. AI-authored code waved through with barely a look. Quality hiding behind a green board. What one system knows — said plainly.
Cross-tool insights
The trouble between the tools.
Six tools, one timeline. Code merged after the design changed. A cancelled ticket still shipping to prod. A decision that changed mid-build while the code kept going. Loud discussion, motionless work. The drift no single tool sees.
Pattern & composite insights
What time and teams reveal.
The long game. Ownership risk hardening into delivery risk. Knowledge fragmenting on a module only one person still gets. The same problem looping back, “solved” more than once. A slowdown creeping across squads. One read — IC to tribe.
Predictive insights
What's about to break.
Before the chart twitches. Release confidence sliding. Risk signals converging on one thing at once. Shipping faster while quality quietly slips. A mitigation past the date someone promised. The call, the evidence, the move.
Insights, not metrics.
Insights tell you what to do. Metrics tell you where you stand. Work gives you both — actionable intelligence, and the snapshot beneath it. An insight is a deterministic judgment: what it found, the evidence behind it, why it fired, and what to do next. Not a dashboard number you have to interpret, not an AI guess you have to trust — a conclusion you can act on and verify.
The metrics are proprietary too — ones no other tool computes, alongside the standards you already rely on. Review Depth: did a review actually reason about correctness, architecture, and security, or just leave comments? AI-era leverage. Context staleness. Converging risk. But the metrics support the insights; they were never the point.
Like a tireless analyst.
Think of it as a tireless senior analyst who reads every one of your tools all day and finds the story hidden in the connections between them — the read that, done by hand, is a full-time job. Fractalis Work does it continuously.
It doesn't count commits. It reads whether the work made the system stronger — while you can still change the outcome.
Same truth, every altitude.
Work runs for everyone, top to bottom — the same reality, read at your altitude. What changes by role is which insights surface, never whether you have access.
IC
What changed, and what needs you today.
The drift, blockers and risks on your active work — a design that changed, a decision you missed, a review waiting on you — with the next move, across every tool.
Manager
Where the team is blocked or drifting.
Named signals — work stalling, risk piling up, delivery diverging from the plan — each with the evidence and a clear intervention.
Director
Where programs are turning fragile.
Delivery risk and drift converging across teams — which programs are fragile, where pressure's building — aggregate, never surveillance.
Executive
System-level risk, before the surprise.
Where execution is strengthening or stalling, and the risk headed for the board meeting — surfaced early, with confidence and evidence.
It reads the system, never the person.
Work carries nothing personal — no skills, no growth, no scoring of people. That lives in Fractalis Growth. Work reads the system, not the individual: no keystroke tracking, no response-time scoring, no stack-ranking. The refusals live in the architecture, not the marketing — which is exactly why engineers want it turned on instead of routing around it. Read the trust model
No catalogue knows your team on day one.
We've built one of the deepest in the category — hundreds of insights, validated in the field, with more in design. A serious head start. And still not the same as knowing your stack, your history, the risk your org keeps re-learning the hard way.
So in a pilot, we build the ones that are missing — with you. Insights tuned to how your team actually works, on the same deterministic, evidence-backed engine. Nothing bolted on, nothing hand-wavy. You don't adopt a finished product; you shape one — and it leaves the pilot different than it arrived. Better, and yours.