conjureflow

See how work actually flows.

conjureflow turns repeatable work into a living graph. Model your Process as connected Steps, run it with your team, and let real execution data — not anecdote — show you the bottleneck.

See how it works ↓

An improvement loop, built in

Model the work, measure what happens, find what's holding it back, change it, and keep watching.

  1. 1

    Define

    Draw the Process as a graph of Steps with typed Ports.

  2. 2

    Measure

    Run it — durations, wait times, and outcomes are recorded per Step.

  3. 3

    Analyze

    See bottlenecks, variation, and Root Cause Candidates from real Runs.

  4. 4

    Improve

    Change the Process and compare against a Baseline — evidence, not memory.

  5. 5

    Control

    Control Rules watch your Critical Metrics so improvements don't drift away.

Why teams pick conjureflow

A canvas that measures reality

conjureflow isn't a static diagram. Every execution of a Process becomes a Run, so the graph accumulates evidence — durations, wait times, outcomes — as real work happens.

Bottlenecks found, not guessed

Bottleneck candidates come from Run history: wait states, variation, rework, and Process Exceptions — not just sorting Steps by average duration.

Measure one slice first

Select just the Steps you care about as a Measurement Selection. Start learning from one painful handoff without modeling the whole organization on day one.

Typed contracts between Steps

Steps connect through typed Ports, so the graph shows what data moves between them. Incompatible connections and missing inputs are visible before a Run starts.

Reusable process architecture

Sub-processes, Process Templates, Stages, and Notes let teams build a library of operating patterns instead of redrawing the same structure from scratch.

Connects to your tools

Model native tasks, manual approvals, webhooks, REST calls, Jira, Slack, and more — Connections are scoped to your Organization, without migrating off your systems of record.

Evidence you can trust

Process measurement has to be trustworthy before it can be actionable.

Draft vs. Production Runs

Experiment freely without polluting the data you make decisions from.

Run replay & pinned test data

Debug from a past execution and keep test inputs stable while you iterate.

Credential permissions & redaction

Using a Connection is separate from seeing its secrets, and sensitive outputs can be redacted.

Real-time collaboration

Workers and process owners share one live canvas — the people doing the work shape the model.

Stop guessing where work gets stuck.

Open a Process, see which Step is the bottleneck from the last N Runs, change it, and know whether the change actually helped.