The execution intelligence platform
Fluxa connects to your existing tools and surfaces the execution signals that matter. No surveys, no manual reporting — just real patterns from real work.
Signal Engine
Reads passive metadata across the tools teams already use and measures each signal against that team's own baseline — not a fixed threshold. The result works the same whether you're nine people or nine thousand.
- Relative-change detection from a personal baseline
- Delivery rhythm, WIP and cycle-time signals
- Cross-team handoff and coordination mapping
- Communication flow and response latency
Risk Engine
Aggregates signals into a single execution-health score per initiative. Severity is normalized and capped, dimensions are weighted, and any one severe signal blocks a healthy rating — so a single bad week can never hide.
- Weighted health across four dimensions
- Linear severity capping for explainable scores
- Coverage-gated risk flags, no false alarms
- Trends that separate a blip from a slide
Initiative Insights
Execution health lives at the initiative level, not buried in a project tool. Claude turns each score and its drivers into a plain-language read of what's slipping, where, and why it matters right now.
- One health view per transformation initiative
- Plain-language insight from the model
- Primary risk drivers and supporting signals
- Historical trend at a glance
Works with the tools you already run
Connect a source and Fluxa starts reading the shape of work — no behavior change required. We're expanding coverage one high-signal connector at a time.
Metadata only. Never content.
Fluxa analyzes patterns, not words. It never reads a message, a document, or a line of personal data — it works entirely from timing, frequency, structure, and flow. The signal is in the rhythm.
That's what makes it safe to deploy organization-wide, and why it reads the same across any language or culture.
Ready to see execution clearly?
Request a demo and we'll put a detection layer under your most important transformation.