Every organization runs on work.Yet no one can actually see it.
CRMs store customers. ERPs store transactions. EHRs store records. None of them understand how work actually moves. Fluidly does.
Organizations do not have a software problem.
They have a process intelligence problem.
Work fragments across systems, people, policies, agents, documents, and decisions. Each tool sees a piece. No one sees the whole.
Visible state. Explicit decisions. Executable policy. Traceable outcomes.
Imagine Activity Monitor.
For your entire organization.
Every Work Item is alive. Every decision has a reason. Every policy can execute. Every outcome becomes institutional memory.
Route to provider review
Recommended because the last renal function test is older than the configured safety threshold.
The operating model of work.
Each layer does one job. Stacked, they turn a process you can only describe into one the organization can run, reason about, and improve.
Define how work is allowed to flow.
Model Work Items, states, transitions, actions, permissions, and decision points as an explicit execution contract.
- Dynamic workflows
- State-aware actions
- Human and machine actors
Simulation before execution.
Change a policy, threshold, workflow, capacity rule, or agent behavior, and see the downstream consequences before production.
Every decision leaves a trace.
A decision trace is the immutable, timestamped record Fluidly writes for every consequential decision: the event that triggered it, the context and evidence considered, the policy applied, the confidence score, and the resulting outcome, linked together in one continuous, auditable sequence.
Refill request received
Patient submitted a request through the portal.
Clinical state resolved
Medication history, latest labs, provider relationship, and safety policy loaded.
Provider review required
The renal function test is outside the configured renewal window. Confidence: 94%.
Renewal completed safely
Provider approved the refill and a future lab Work Item was created.
Proven where work is fragmented, regulated, and high stakes.
Fluidly connects clinical context, administrative workflows, policies, decisions, and outcomes, reducing friction without sacrificing control.
Diabetes follow-up
A1C overdue · Refill requested
One context, coordinated decisions
Policy, labs, medication, capacity, and care gaps evaluated together.
One interaction, three actions
Refill routed · Lab ordered · Care gap scheduled
It clicks with every stakeholder.
See and improve work in motion.
Reduce coordination, delays, rework, and operational variance.
Connect process change to outcomes.
Understand cost, risk, SLA, capacity, and customer impact.
Build on a reusable process foundation.
Stop reimplementing logic and integrations inside every app.
Make execution auditable by default.
Trace every action back to evidence, actor, policy, and rationale.
Compose products, not silos.
Create role-specific applications over shared intelligence.
Experience coordinated work.
Get faster answers, fewer handoffs, and context-aware service.
What people ask first.
What is a Process Intelligence Operating System?
A Process Intelligence Operating System is a software layer that models organizational work itself, not just the data about work, as a set of primitives: Actor, WorkItem, Artifact, Event, ContextSnapshot, Policy, Decision, Action, and Outcome. It sits beneath the applications an organization already runs and makes work visible, explainable, executable, and continuously improvable.
How is Fluidly different from a CRM or ERP?
A CRM stores customer records and an ERP stores transactions, but neither understands how work actually moves between people, policies, and systems. Fluidly is not another application competing with your CRM or ERP. It is an operating system layer underneath them, so every app can share one live model of work instead of each one reimplementing its own process logic.
What is a decision trace?
A decision trace is the immutable, timestamped record Fluidly writes for every consequential decision: the event that triggered it, the context and evidence considered, the policy applied, the confidence score, and the resulting outcome, linked together in one continuous, auditable sequence.
What is Fluidly's flagship use case?
Fluidly's first production use case is US outpatient medication-refill operations. A patient's SMS or voice request becomes a WorkItem, is evaluated against clinical context and safety policy, produces an AI-assisted decision with a confidence score, triggers an action, and logs an auditable outcome.
Does a human stay in control of AI decisions?
Yes. Agents in Fluidly observe state, query the digital twin, and recommend or make decisions inside policy guardrails, with human-in-the-loop review for consequential actions. Every agent action is logged with its rationale.
Build the operating model yourself.
Add primitives to the process and watch Fluidly turn them into an execution-aware model.
Add a Work Item to begin.
Start with one high-value process. Expand into a living enterprise model.
Pick the process that costs you the most in delays and rework. We will make it visible, then work outward from there.