# Fluency > Enterprise Work Intelligence Platform Fluency is an enterprise work intelligence platform that builds a living map of how work actually happens across an organization. It captures execution patterns across all tools and systems in real time, without integrations, so C-suite executives and Heads of AI can deploy AI with confidence, optimize rollouts continuously, and prove ROI against a verified baseline. ## Product Description Fluency sits between an organization's existing systems and its AI program. A lightweight agent observes how work moves across email, CRM, ERP, spreadsheets, and collaboration tools. It converts that signal into a continuously-updated picture of how every workflow actually runs today, which processes are best suited for automation, and what each deployed AI initiative is worth in hard dollars against the pre-deployment baseline. Three questions drive the platform: Where should we deploy AI next? Is the AI we already deployed working? What is it worth? Fluency answers all three from the same evidence base. ## Platform Features - Work Explorer: https://usefluency.com/features/explorer Real-time map of how work actually moves through the enterprise. Captures execution across all tools and surfaces the workflows, handoffs, and variation patterns that process maps miss. - Opportunities: https://usefluency.com/features/overview Ranked list of AI and automation candidates, scored by projected hours saved, execution frequency, and pattern confidence. Replaces intuition-driven prioritization with evidence. - Initiatives: https://usefluency.com/features/initiatives Tracks each deployed AI initiative against the baseline that existed before deployment. Surfaces whether the automation is delivering, stalling, or regressing in real time. - Objective Tracking: https://usefluency.com/features/objective-tracking Connects workflow-level outcomes to strategic KPIs. Shows which AI investments are moving the metrics that matter to the board. - Process Discovery: https://usefluency.com/features/process-discovery Automatically maps workflows by observing how work actually happens. No workshops, no manual mapping, no stale Visio diagrams. - Work Visibility: https://usefluency.com/features/work-visibility Continuous visibility into how every team executes work. Detects process drift, exception spikes, and handoff failures before they compound. - AI Assistant: https://usefluency.com/features/assistant Natural-language interface to the work intelligence layer. Ask questions about how work is running and get answers grounded in live execution data. ## Solutions - For COOs and Transformation Leaders: https://usefluency.com/solutions/coo-transformation-leader Operational visibility and AI targeting for leaders responsible for enterprise-wide transformation programs. Replaces guesswork with a continuously-updated picture of where AI will compound. - For CFOs and Finance Leaders: https://usefluency.com/solutions/cfo-finance Hard-dollar ROI measurement for AI investments. Connects workflow compression and capacity gains to P&L impact so finance leaders can defend every line of the AI budget. - For CIOs and IT Leaders: https://usefluency.com/solutions/cio-it Deployment governance and post-launch verification for AI initiatives. Shows which integrations are being used, which workflows have changed, and which investments are not delivering. ## Glossary - AI Transformation ROI: https://usefluency.com/glossary/ai-transformation-roi The hard-dollar return from deployed AI, measured against a verified baseline. Includes hours saved, cycle-time compression, exception rate reduction, and error reduction, denominated in operating dollars rather than adoption metrics. - Enterprise AI: https://usefluency.com/glossary/enterprise-ai AI deployed inside large organizations under integration, governance, and verification constraints absent from consumer AI. The deployment surface, governance burden, and verification expectation are fundamentally different from a chat interface. - Work Intelligence: https://usefluency.com/glossary/work-intelligence The operational layer that provides a current, evidence-based picture of how work actually moves through an enterprise. Used to target AI deployment, verify outcomes, and continuously update the baseline as the business changes. ## Use Cases by Industry - Financial Services: https://usefluency.com/use-case/financial-services - Healthcare: https://usefluency.com/use-case/healthcare - Manufacturing: https://usefluency.com/use-case/manufacturing - Retail: https://usefluency.com/use-case/retail ## Customers Fluency works with Fortune 500 enterprises across financial services, insurance, professional services, and manufacturing. - BoardRoom Australia (Mark Saliba, COO): Post-implementation impact was instantaneous. Clear visibility into everyday operations, increased productivity, and measurable improvements across the business. - PVH (Jeff Champion, VP Accounting Americas): Mapped 125 processes in 2 months using Fluency, for less than 0.1% of the consultant quote. Enabled seamless knowledge transfer to an India shared service center, saving over $300K. - MISUMI (Jacqueline Ong, Customer Service): Fluency cut the time it takes to map processes by 95% compared to previous tools. - Prime Financial Group (Samuel Sheridan, Corporate M&A Analyst): Fluency saves over 5 hours per process compared to doing it manually, with significantly higher consistency. - Compass (Client): Enterprise application rationalization. Mapped invoice workflows across 4,000 applications, identified which systems drove real value, and built a $10M+ cost reduction business case in 6 weeks. ## Key Facts - Founded: 2023 - Headquarters: San Francisco, USA (primary); Melbourne, Australia - Certifications: SOC 2 Type II - Contact (sales): sales@usefluency.com - Contact (support): support@usefluency.com - Trust center: trust.getfluency.com.au - LinkedIn: https://www.linkedin.com/company/getfluency - YouTube: https://www.youtube.com/@usefluency - Twitter/X: https://twitter.com/usefluency ## Funding - Pre-seed: A$1.5M (2025, led by Bradley Tabone and Archangel Ventures) - Seed: $6M (2026, led by Accel) ## Blog (most recent posts) - We just raised $6M (2026-02-09): https://usefluency.com/blog/fluency-raises-6m-seed-accel Two first-time founders, a $6M seed round led by Accel, and a mission to make enterprise AI actually measurable. - Fluency vs Consultants vs Celonis vs Mimica vs Worktrace (2026-02-05): https://usefluency.com/blog/fluency-vs-competitors Enterprises are deploying AI blindly. Success comes down to three questions: where to deploy, how to optimize, and how to prove ROI. - Trending: What Context Graphs Mean For Enterprise (2026-01-05): https://usefluency.com/blog/context-graphs Context graphs are being called AI's trillion-dollar opportunity. What are they, and what does this mean for transformation leaders? - The Agent-Native Enterprise: Visibility, Workflows, and the Path Forward (2026-01-06): https://usefluency.com/blog/visibility-for-agents AI agents will transform enterprise operations but can't work in the dark. Here's the infrastructure layer enterprises are building now. - Why AI on Broken Workflows Makes Things Worse (2025-12-29): https://usefluency.com/blog/ai-transformation-failure Most AI transformations fail because enterprises automate broken workflows. How to become truly AI-ready. - How to Actually Measure AI ROI Across Multiple Systems (2025-12-26): https://usefluency.com/blog/how-to-measure-roi-across-systems System-level integration for ROI measurement is fundamentally broken. Here's why system-agnostic work intelligence is the only way to prove AI ROI. - Why AI ROI Remains Invisible (2025-12-21): https://usefluency.com/blog/why-roi-remains-invisible Companies measure AI adoption, not AI impact. Without execution baselines, ROI stays invisible. - The Three Types of Work Data (And Why You Only Have Two) (2025-12-19): https://usefluency.com/blog/three-types-of-work-data Enterprises track inputs and outputs but miss the 95% in between: execution data. Without it, you can't tell if AI is working. - The Hidden Cost of AI: Rework No One Is Measuring (2025-12-18): https://usefluency.com/blog/the-cost-of-ai-rework AI dashboards track usage, not productivity. The hidden cost is rework that erases the gains you think you are getting. - AI Doesn't Have a Capability Problem. It Has an Incrementality Problem. (2025-12-17): https://usefluency.com/blog/ai-incrementality-problem Enterprise AI is scaling fast, but usage metrics hide the real question: did outcomes improve versus a true baseline? - Insurance and the Drive to AI (2025-12-02): https://usefluency.com/blog/ai-in-insurance Insurance carriers are racing toward AI transformation. Most stall between pilot and scale. - Why AI Transformation Projects Stay Stuck in Pilot (2025-12-02): https://usefluency.com/blog/why-transformation-projects-stay-stuck The problem is not technology or adoption. It is a decision problem rooted in missing visibility. - Case Study: How an $11B Manufacturer Cut $10M in App Costs (2025-12-23): https://usefluency.com/blog/enterprise-application-rationalization-case-study Mapped invoice workflows across 4,000 applications and built a $10M+ cost reduction business case in 6 weeks. - Why AI Pilots Should Measure Impact, Not Adoption (2025-11-26): https://usefluency.com/blog/why-AI-pilots-should-measure-for-impact AI pilots fail when enterprises measure adoption rates instead of workflow change. - Why AI Use Case Discovery Should Start with Visibility (2025-11-26): https://usefluency.com/blog/ai-use-case-starts-with-visibility Without visibility into how work actually happens, even the best AI strategy is built on incomplete data. - Adaptive Work Intelligence: The New Data Layer for Enterprise Execution (2025-11-11): https://usefluency.com/blog/the-new-control-layer For the first time, enterprises can see how work actually happens in real time. - How Operations Leaders Identify Process Inefficiencies (2025-11-04): https://usefluency.com/blog/how-leaders-identify-process Work intelligence reveals where processes break down and how to fix them systematically. - Why Work Is the Missing Data Layer in Enterprise AI (2025-11-02): https://usefluency.com/blog/why-work-is-the-missing-layer Enterprises have customer, financial, and product data. The richest operational dataset, work itself, has never been captured at scale. Until now. - The 30-Day Executive Playbook to Prove AI Transformation ROI (2025-10-03): https://usefluency.com/blog/30-day-roi-playbook A systematic 30-day playbook to baseline, deploy, and prove ROI on GenAI, automation, and any enterprise initiative. - Automatic Process Discovery and Optimization (2025-10-06): https://usefluency.com/blog/automatic-process-discovery Manual process mapping is slow and instantly outdated. Automatic discovery continuously observes work and maps workflows in real time. ## Pricing Custom enterprise pricing. Contact sales at sales@usefluency.com or visit https://usefluency.com/pricing. Fluency is SOC 2 Type II certified. Custom MSAs available on the Enterprise tier. ## FAQ Q: What is Fluency? A: Fluency is a work intelligence platform that shows C-suite executives and Heads of AI exactly how work gets done across the enterprise, so they know where AI will drive real impact. It automatically captures execution across all teams, tools, and systems in real time without integrations, identifies high-ROI AI opportunities, and measures the ROI of each deployment to scale only what is working. Q: How does Fluency work? A: A lightweight agent aggregates how teams execute work across all applications: CRM, ERP, Excel, email, Slack, everything. It automatically maps all workflows and ad-hoc tasks to give intelligence on where and how AI is best brought in. No integrations, no IT projects, no manual process mapping. Q: How does Fluency measure AI transformation ROI? A: Fluency captures a baseline of how each targeted process ran before deployment, then compares post-deployment outcomes against that baseline continuously. ROI is reported in hard dollars: hours saved, cycle-time compression, exception rate changes, and error reduction. Adoption metrics like seat counts and prompt volumes are not used as ROI inputs. Q: How is Fluency different from process mining tools like Celonis? A: Process mining reconstructs how work ran from system event logs. Fluency captures the work that happened around and between the systems, including the parts the event logs missed. Most automation opportunity lives in those gaps. Fluency also covers agentic AI targeting and post-deployment verification, which process mining tools do not. Q: Does Fluency spy on employees? A: No. Fluency does not show individual productivity scoring, time spent off-task, or idle time. All data generated by an employee is visible to that employee. Fluency filters out non-work activity and requires double opt-in consent at all times. Q: What security certifications does Fluency have? A: Fluency is SOC 2 Type II certified. All data is encrypted in transit and at rest. Visit trust.getfluency.com.au for the full trust center. Q: Does Fluency require integrations or IT projects? A: No. Fluency captures work natively across all existing applications without any integration work. For organizations with advanced needs, API integrations and flexible export options are available, but immediate insights work out of the box. Q: Who uses Fluency? A: COOs and transformation leaders use it to prioritize AI initiatives. CFOs use it to measure and defend ROI. CIOs use it to deploy and govern change without friction. Heads of AI use it to identify the highest-value automation candidates and verify that deployed AI is working. It is built for Fortune 500 complexity. Q: Where is Fluency based? A: Headquarters in San Francisco, USA, with an office in Melbourne, Australia. Q: What is the difference between Fluency and a productivity tool like Microsoft Copilot? A: Copilot and similar tools measure their own usage. Fluency measures whether that usage changed how work actually gets executed. It is the verification and targeting layer that sits above any individual AI tool, showing which ones are compounding value and which are not. Q: How long does it take to see value from Fluency? A: Because there are no integrations, initial workflow maps can be generated within days of deployment. Hard-dollar ROI figures against a baseline are typically available within one quarter of a first AI initiative going live.