# Fluency

> Enterprise Work Intelligence Platform. The baseline that stays true.

Fluency builds a living map of how your enterprise actually works, so you can deploy AI that actually fits. Fluency observes work at the point of execution, continuous and unbiased, without integrations or screen recording. The result is a current picture of how decisions move, where time is spent, and what changed after a deployment.

## What Fluency Does

Fluency answers three questions every enterprise asks about AI:

- **Where should we deploy AI?** Fluency surfaces repetitive work across teams and systems, then ranks it by projected hours saved and confidence.
- **How do we optimize during rollout?** Fluency tracks adoption in real time and surfaces where automation is and isn't taking hold.
- **How do we prove ROI?** Fluency measures actual hours, errors, and cycle-time changes against a continuously-updated baseline, not adoption dashboards.

## The Work Ontology

The work ontology is the foundation everything else is built on: https://usefluency.com/ontology

A work ontology is a living, continuously updating graph of how an enterprise actually operates, built by observing work at the point of execution. Its nodes are the actors, activities, and artifacts of work, and its edges are the handoffs between them, with intent inferred for every action. It does not log what someone clicked, it infers why they were doing it. That correlation to business outcomes is what separates a work ontology from process mining or task mining.

## Platform Features

- Platform Overview (https://usefluency.com/features/overview). How the pieces fit together, from observation through to deployed automation.
- Work Explorer (https://usefluency.com/features/explorer). See how work actually happens across your enterprise. Every workflow, every system, every handoff, mapped automatically. Everything Explorer captures becomes part of your work ontology.
- Opportunities (https://usefluency.com/features/opportunities). Surface the highest-impact processes for AI deployment, ranked by projected hours saved and confidence. The golden path and the highest-leverage automations are read directly from the ontology.
- Automations (https://usefluency.com/features/automations). Deploy committed opportunities as autonomous agents that build and run automations end to end. Agents traverse the live ontology as they work, so they adapt when the business changes.
- Assistant (https://usefluency.com/features/assistant). Ask anything about your enterprise's work. Fluency answers with grounded context from the live work ontology.

## Industries

- Financial Services (https://usefluency.com/industries/financial-services). Compliance, risk, and back-office automation.
- Retail (https://usefluency.com/industries/retail). Supply chain and customer experience optimization.
- Healthcare (https://usefluency.com/industries/healthcare). Clinical workflows and administrative efficiency.
- Manufacturing (https://usefluency.com/industries/manufacturing). Production processes and quality control.

## Glossary

Fluency publishes definitions for the terms that decide whether an enterprise AI program compounds or stalls: https://usefluency.com/glossary

- Work Ontology (https://usefluency.com/glossary/work-ontology). A work ontology is a living, continuously updating graph of how an enterprise actually operates, built by observing work at the point of execution.
- Work Intelligence (https://usefluency.com/glossary/work-intelligence). Work intelligence is the operational layer that provides a current, evidence-based picture of how work actually moves through an enterprise.
- Work Intelligence Platform (https://usefluency.com/glossary/work-intelligence-platform). A work intelligence platform shows large enterprises where AI will have the biggest impact by finding the best work to automate first.
- Enterprise AI (https://usefluency.com/glossary/enterprise-ai). Enterprise AI is AI deployed inside large organizations under three constraints absent from consumer AI: integration into existing systems of record, governance against company and regulatory policy, and verification of outcomes against a hard-dollar baseline.
- Adoption Metrics (https://usefluency.com/glossary/adoption-metrics). Adoption metrics measure whether an AI tool is being used: seat counts, logins, prompts per user, satisfaction scores.
- Agent Grounding (https://usefluency.com/glossary/agent-grounding). Agent grounding is connecting an AI agent to a current model of the work it is acting on, so it decides from what is true now rather than from rules written when it was built.
- AI Readiness (https://usefluency.com/glossary/ai-readiness). AI readiness is whether the underlying work is in a state where automating it will help.
- AI Rework (https://usefluency.com/glossary/ai-rework). AI rework is the correction, verification, and redoing of AI output that happens after the AI interaction ends.
- AI Transformation ROI (https://usefluency.com/glossary/ai-transformation-roi). AI transformation ROI is the hard-dollar return from deployed AI, measured against a verified baseline.
- Application Rationalization (https://usefluency.com/glossary/application-rationalization). Application rationalization is the exercise of deciding which of an enterprise’s software applications to keep, consolidate, or retire.
- Automatic Process Discovery (https://usefluency.com/glossary/automatic-process-discovery). Automatic process discovery maps how work runs by observing it, rather than by interviewing the people who do it or reconstructing it from system logs.
- Baseline (https://usefluency.com/glossary/baseline). A baseline is the measured record of how a process ran before anything was changed, used as the reference point for whether a deployment improved it.
- Context Graph (https://usefluency.com/glossary/context-graph). A context graph captures how work happened and why decisions were made along the way, rather than only the outcome a system recorded.
- Execution Data (https://usefluency.com/glossary/execution-data). Execution data is the record of how work actually moves through an organization: the layer between the inputs a business captures and the outputs it reports.
- Execution Intelligence (https://usefluency.com/glossary/execution-intelligence). Execution intelligence is real-time visibility into how work is actually executed across every tool, team, and system, rather than how it is documented, planned, or reported after the fact.
- Golden Path (https://usefluency.com/glossary/golden-path). The golden path is the variant of a process associated with the best outcomes, read from the distribution of how that process actually runs rather than from how it was designed.
- Incrementality (https://usefluency.com/glossary/incrementality). Incrementality is the measure of whether outcomes actually improved against a true baseline, as distinct from whether a tool was used.
- Intent Inference (https://usefluency.com/glossary/intent-inference). Intent inference is determining why an action was taken rather than recording what was clicked.
- Process Drift (https://usefluency.com/glossary/process-drift). Process drift is the gradual divergence between how a process is documented and how it is actually performed.
- Process Mining (https://usefluency.com/glossary/process-mining). Process mining reconstructs how a process ran from the event logs that systems recorded.
- Real-Time Process Assurance (https://usefluency.com/glossary/real-time-process-assurance). Real-time process assurance is oversight built into execution rather than run as a separate layer of periodic audits.
- Task Mining (https://usefluency.com/glossary/task-mining). Task mining records how individuals perform work at the desktop, capturing the steps that system logs miss.
- Unstructured Work (https://usefluency.com/glossary/unstructured-work). Unstructured work is the execution that happens outside the systems that log it: ad-hoc work in spreadsheets and email, project work that is not a linear process, exceptions handled manually, and legacy applications with no modern logs.

## Who Fluency Is For

Primary buyers are COOs and transformation leaders, CFOs and finance leaders, CIOs and IT leaders, and Chiefs of AI. COOs use Fluency to prioritize where AI goes first. CFOs use it to measure and defend the return. CIOs use it to deploy and govern change without friction.

## Key Facts

- Founded: 2023
- Headquarters: 1475 Folsom St, San Francisco, CA, USA
- Australia office: Melbourne, VIC
- Funding: $6M seed led by Accel. Additional investors: DST Global Partners, Carya, Mixture of Experts, Archangel Ventures, NextGen Ventures.
- Deployment time: about five minutes. No system integrations required.
- Certifications: SOC 2 Type II
- Privacy-first by design. Fluency observes work output, not personal activity. It is not employee monitoring.

## Customers

Fortune 500 enterprises and global firms including Aon, PVH Corp, HMH, Johns Lyng Group, BoardRoom Australia, KordaMentha, and Specsavers.

Verified outcomes:

- Johns Lyng Group: Fluency is foundational in how we understand where to focus, where we get the best impact, and where AI will actually create value.
- BoardRoom Australia: clear visibility, increased productivity, and measurable improvements across the business after Fluency rollout.

## Pages

- Homepage: https://usefluency.com
- The Work Ontology: https://usefluency.com/ontology
- Platform Overview: https://usefluency.com/features/overview
- Glossary: https://usefluency.com/glossary
- About: https://usefluency.com/about
- Blog: https://usefluency.com/blog
- Changelog: https://usefluency.com/changelog
- News: https://usefluency.com/news
- Contact: https://usefluency.com/contact-us
- Request a demo: https://usefluency.com/demo
- Security: https://usefluency.com/security
- FAQ: https://usefluency.com/faq
- Brand assets: https://usefluency.com/brand-assets

## Frequently Asked Questions

Q: What is Fluency?
A: Fluency is an enterprise work intelligence platform that builds a living map of how work actually happens across your organization. It observes work at the point of execution, then uses that picture to identify where AI can deploy, optimize rollouts in real time, and prove ROI against a continuously-updated baseline.

Q: What is a work ontology?
A: A work ontology is a living, continuously updating graph of how an enterprise actually operates, built by observing work at the point of execution. Its nodes are the actors, activities, and artifacts of work, and its edges are the handoffs between them, with intent inferred for every action. Full explanation at https://usefluency.com/ontology.

Q: How does Fluency capture work without integrations?
A: Fluency observes work at the point it happens. It does not require API integrations into every system, screen recording, or process mining of historical logs. Deployment takes about five minutes.

Q: Is Fluency a process mining tool?
A: No. Process mining reconstructs how work happened from system logs after the fact, which produces a delayed and partial picture. Fluency observes work as it happens, continuously and unbiased, so the baseline stays current.

Q: How is Fluency different from Celonis?
A: Celonis is process mining. It shows what system logs recorded. Fluency observes work at the point of execution, so it captures decisions, handoffs, and context that never reach a system log.

Q: How is Fluency different from task mining tools like Mimica?
A: Task mining records work for a fixed window and then stops. The baseline goes stale. Fluency runs continuously, so the picture stays current as work changes.

Q: How does Fluency measure AI ROI?
A: Fluency measures actual hours saved, error rates, and cycle-time changes against the live baseline before and after a deployment. The output is hard-dollar impact, not adoption dashboards.

Q: What does Fluency cost?
A: Custom enterprise pricing. Contact sales@usefluency.com or request a demo at https://usefluency.com/demo.

Q: Is Fluency secure and privacy-first?
A: Yes. Fluency is SOC 2 Type II certified. Fluency observes work output, not personal activity. It is designed for enterprise governance and is not employee monitoring. Security details are at https://usefluency.com/security.

Q: Who uses Fluency?
A: Fortune 500 enterprises and global firms including Aon, PVH Corp, HMH, Johns Lyng Group, and BoardRoom Australia. Primary buyers are COOs, CIOs, CFOs, and Chiefs of AI or Transformation.

Q: Where is Fluency based?
A: Fluency is headquartered at 1475 Folsom St, San Francisco, California, with an office in Melbourne, Australia.

Q: What integrations does Fluency need?
A: None. Fluency observes work at the point of execution without requiring system-by-system API integrations. Deployment is roughly five minutes.

## Company

- Founded: 2023
- Headquarters: 1475 Folsom St, San Francisco, CA, USA
- Australia office: Melbourne, VIC, Australia
- Website: https://usefluency.com
- LinkedIn: https://www.linkedin.com/company/getfluency
- X / Twitter: https://twitter.com/usefluency
- YouTube: https://www.youtube.com/@usefluency