The funding validates AI‑powered process documentation as a scalable enterprise solution, positioning Fluency to address the growing need for operational insight before AI deployment. It also signals strong investor confidence in tools that replace costly consulting work.
Enterprises worldwide are racing to embed artificial intelligence, yet many lack a clear picture of how work actually flows through their organizations. Without that operational baseline, AI projects often stall or deliver marginal returns. Fluency’s emergence directly tackles this gap by providing an automated, AI‑driven work‑intelligence platform that maps processes, highlights automation opportunities, and creates living documentation—all without the need for complex system integrations.
The startup’s technology distinguishes itself by capturing activity across any workplace application—Salesforce, Excel, or bespoke tools—through passive observation rather than hard‑wired connectors. Using large‑language models, Fluency instantly generates step‑by‑step guides, annotated screenshots, and visual workflow maps, compressing weeks of consulting effort into days. This approach not only cuts costs but also democratizes process knowledge, enabling teams to iterate faster and align AI initiatives with real‑world execution patterns.
The $6 million seed round, anchored by Accel and bolstered by DST Global Partners, underscores investor confidence in the market potential of AI‑enabled process documentation. Valued at $30 million, Fluency is poised to scale its engineering talent and expand globally, targeting sectors where compliance and efficiency are paramount. As competitors focus on niche integrations, Fluency’s no‑integration model and enterprise‑grade client roster—including AON, PVH, and Houghton Mifflin—position it to become a foundational layer for AI adoption across diverse industries.
Melbourne startup Fluency has raised US$6m (A$8.55m) in a Seed round led by US VC Accel, Atlassian’s first external investor
The raise values the business at around $30 m. The cash will help expand the engineering team and support international growth.
Other investors include DST Global Partners (which, along with Accel, was an early Facebook backer), Mixture of Experts, Carya Venture Partners, Archangel Ventures, and NextGen Ventures.
Fluency previously banked a $1.5 m pre‑Seed round in April last year.
Swinburne engineering graduates and self‑taught developers Finnlay Morcombe and Oliver Farnill, both now 25, launched Fluency in 2023. They joined the Swinburne Innovation Studio Pre‑Accelerator, winning the Best Pitch Award, then the People’s Choice Award in the subsequent accelerator, and are part of Startmate’s Summer ’25 cohort.
The work‑intelligence platform captures how work happens across an organisation, using AI to turn it into documentation, alongside outlining automation opportunities and transformation insights.
Morcombe said the platform replaces the work of management consultants who documented processes manually, cost more and took longer, producing things such as step‑by‑step guides with annotated screenshots, standard operating procedures and visual workflow maps in days.
It doesn’t require integrations with existing systems and can capture activity across workplace applications, from Salesforce to Excel, without connecting to them.
The inspiration for Fluency came to Morcombe during an internship at a superannuation fund, where he had to manually document processes to move them from one team to another.
“Fluency was created after we saw a widening gap between AI ambition at the leadership level and what teams were actually able to execute with AI on the ground,” he said.
“Companies are under pressure to adopt AI quickly, but most don’t have a clear picture of how work actually happens. Without the operational baseline, it is very difficult to understand where to deploy AI and know it is delivering real returns.”
The two‑year‑old startup counts insurance provider AON, fashion group PVH Corp, and education publisher Houghton Mifflin Harcourt among its client base.
Accel partner Abhinav Chaturvedi said Fluency stood out because of its focus on operational fundamentals, not experimentation for its own sake.
“AI capability is no longer the limiting factor. The real challenge is understanding where to apply it,” he said.
Comments
Want to join the conversation?
Loading comments...