8flow Secures $10M to Map Enterprise Data and Workflows for AI Automation

8flow wants to map your enterprise data and workflows for use in AI -- and it's raised $10M to help

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If your business is still figuring out how best to use AI -- and aren't all of ours? -- one important consideration to start is data. What of your company's data will be useful for AI, where is it stored, how secure is it, who has access, and how can it be properly organized and formatted for secure use in AI applications? And also, importantly, how does it move around inside and outside of your organization? What processes is your business even undertaking that could potentially benefit from AI automation? Answering these questions is no easy feat, especially when the average business globally uses around 112 (!) different enterprise software tools and applications (according to Statista research dated 2023). Enter 8flow, a startup founded in 2022 by former ServiceNow vets, which today is announcing $10 million in a strategic investment round to accelerate its mission of helping businesses automate complex workflows through AI. "Each enterprise has its own set of business applications -- hundreds or thousands," said Boaz Hecht, co-founder and CEO of 8Flow, in a video call interview with VentureBeat recently. "Something needs to map it all and give the AI the context so it can run workflows across them." The round is led by Caffeinated Capital, with participation from ServiceNow Ventures, Okta, HNVR, and strategic angel investors. Evolving businesses to get their datasets ready for use in AI apps 8Flow provides enterprise customers with infrastructure for mapping and analyzing internal workflows. The company's technology creates a structured foundation that enables AI agents to automate tasks traditionally managed by human operators, with a strong emphasis on support and back-office operations. The investment signals growing interest in agentic AI applications -- intelligent systems capable of performing tasks autonomously -- especially in large-scale, fragmented enterprise environments. Hecht said that agentic AI as a natural evolution of today's automation tools -- but one that still needs a crucial missing piece: enterprise context. "The way agentic AI is going to happen is the technology will evolve and get better. But once it's able to run workflows by itself -- meaning, reasoning as it runs -- something will need to give it the context of a specific enterprise." Hecht also explained that 8Flow is focused not on replacing AI action providers like OpenAI or AWS, but on powering their effectiveness inside enterprise systems. "We're not trying to build the AI actions themselves. The big players -- OpenAI, AWS, etc. -- will do that. We're building the intelligence behind it that tells the AI what to do and why." Bridging the gap between AI potential and business readiness 8Flow's platform captures and processes real-world data to guide AI agents through existing business processes. By observing, analyzing, and optimizing human behaviors, the company enables enterprises to train and deploy AI agents more effectively and with minimal disruption. This approach addresses a key challenge in enterprise automation: making workflows intelligible and actionable for AI. Raymond Tonsing, managing partner at lead investor Caffeinated Capital, noted in a press release that while many enterprises are eager to adopt AI, they face a fundamental problem -- preparing their operations for automation. He emphasized that companies need support to redesign workflows in a way that sets up AI agents for success, and describes 8Flow as well-positioned to help accomplish this. A map of your workflows and data The company draws a comparison to Waze, the GPS app that revolutionized driving by capturing driver behavior and routing data. Similarly, 8Flow's platform aims to audit, organize, and optimize enterprise workflow data to support intelligent automation. Hecht reinforces the analogy by comparing 8Flow's role to the kind of contextual mapping required in autonomous driving. "Think of it like Tesla building self-driving cars. If it didn't have Waze, it wouldn't know where to drive. It needs context -- where to start, where to finish, how to handle points of interest. Enterprises need the same." 8Flow sets itself apart by focusing on applied AI tailored to specific enterprise functions, rather than generic automation approaches. The platform has tracked over 600 million workflow events to date and is nearing the one billion mark. Through this large dataset, the company is able to deliver actionable insights for tasks ranging from password resets to managing end-to-end customer support operations. According to Hecht, the company's product philosophy is to give AI tools actionable insights without aiming to reinvent what others are already building. "The assumption is that cloud providers will offer the action capabilities. What we're providing is the mapping -- the reasoning behind actions at scale in an enterprise." Real-world industry usage Customers are already seeing value. Sam Collier, CIO at OP360, highlights the benefit of gaining real-time visibility into agent workflows -- an area that previously relied on time-consuming, manual analysis. Collier believes the partnership with 8Flow will unlock new ways to improve efficiency and redefine intelligent automation. With integrations into systems like ServiceNow and Salesforce, 8Flow's platform allows companies to maintain visibility into both human and AI activity across their support and operational environments. The backing from enterprise technology leaders ServiceNow and Okta further strengthens 8Flow's position as a foundational player in the shift toward AI-native business infrastructure. As enterprises increasingly turn to autonomous agents to manage internal workflows and customer interactions, the strategic support for 8Flow suggests rising demand for intelligent, data-driven automation tools that fit the real-world complexity of enterprise systems.

8Flow Secures $10m Series A with Strategic Investment from ServiceNow Ventures and Okta to Accelerate Enterprise Workflow Automation

PALO ALTO, Calif., April 10, 2025 (Newswire.com) - 8Flow, a pioneering enterprise workflow mapping company, today announced that it has secured a Series A investment of $10 million. The round was led by Caffeinated Capital and includes strategic investments from ServiceNow Ventures and Okta as well as participation from HNVR, Liquid2, FirsthandVC and strategic angels. The investment underscores 8Flow's innovative approach to agentic enterprise workflows. By preparing enterprise data for AI-driven workflow automation, 8Flow provides organizations with a comprehensive blueprint for adopting and scaling autonomous agents across complex and fragmented system environments. With its focus on support and back-office workflows, 8Flow is able to help organizations to identify, map and optimize human behaviors enabling the training and guiding of AI agents 'on the job' to automate at scale, and improve human productivity. With strategic backing from ServiceNow and Okta, 8Flow is leveraging its advanced platform to address challenges in organizing enterprise data and automating intricate workflows. "It's no secret that enterprises want to take advantage of recent advancements in AI." said Raymond Tonsing, Managing Partner of Caffeinated Capital. "The secret is that somebody must do the grunt work of observing, analyzing, and eventually re-engineering enterprise processes to best set up AI agents for success. 8Flow is uniquely positioned to help these companies accomplish this." "8Flow shares our vision to accelerate adoption of agentic AI in enterprises," said Philip Kirk, Senior Vice President of Corporate Business Development at ServiceNow. "We're excited to partner with 8Flow and empower businesses across industries to automate and drive productivity at scale." 8Flow's technology allows enterprises to map, understand, and optimize existing workflows, creating a foundation for more intelligent and autonomous business processes. Much as Waze provided the means to crowdsource mapping by learning driver data in the real world to organise and optimise it to enable driverless cars to navigate different routes according to specific requirements, 8Flow's mission is to do the same for the enterprise workflow environment. Boaz Hecht, 8Flow's Co-founder & CEO, commented, "Enterprises want to leverage the potential of automation, while agentic AI firms want to accelerate the roll out of their technology in the enterprise. The missing piece is the real-world workflow data agents need to learn. 8Flow fills that gap by observing, mapping, optimising and ultimately automating otherwise complex and time-consuming manual processes. 8Flow's approach focuses on applied AI by modeling and optimizing unique workflows, moving beyond generic automation. In an era dominated by investments in large language models trained on open web data, 8Flow differentiates itself by delivering targeted insights for specific tasks - from password resets to full-scale customer support operations. "8Flow's AI-driven workflow intelligence gives us insight at scale into agent operations - something previously only possible through slow, manual time-and-motion studies," said Sam Collier, CIO at OP360. "By capturing and analyzing real-time workflows, we can not only improve efficiency but also help our customers optimize their processes in entirely new ways. We're excited to partner with 8Flow to redefine intelligent automation." With over 600 million events tracked and approaching 1 Billion, 8Flow's proprietary platform enables measurable productivity improvements. This strategic investment from two of the most renowned enterprise technology platforms signals a growing market reliance on specialized, autonomous agent solutions to enhance customer interactions and operational outcomes. 8Flow.ai provides the foundational infrastructure for enterprises to deploy AI-driven agentic workflows. By automatically mapping and analyzing existing processes across systems like ServiceNow and Salesforce, the platform enables organizations to identify automation opportunities while maintaining full visibility into human and AI agent activities. Founded in 2022 by ServiceNow veterans, 8Flow.ai serves global enterprises seeking to optimize support operations and prepare for next-generation workflow automation.

ServiceNow Partner 8Flow Bags $10M For AI Agent Workflow Mapping

And then there's the actual automations with Amazon Nova Act or Claude Computer or browser-based, any of the web automation tools that exist. We see ourselves, and always have, as the brains that tell you what it needs to do. We are not the ones who are going to do it. So we've been waiting for those automation tools to come out, which is why we're announcing now, because in the last three or four months, Operator came out from OpenAI, Nova Act from AWS, Claude Computer, all the web automations have now reached a point where they actually work. And so if I'm an enterprise and want to adopt them, I need to know what I need to actually automate. How do we then build the prompts to be able to generate the automations according to the right infrastructure. Does 8Flow target specific use cases? Are they customized for particular workloads, or do you produce this type of flow for general workflows? Think of it as case management, which primarily is customer and IT support, but that spans quite a bit of back office asynchronous tasks. So historically, you would have contact centers where somebody calls in and you have to resolve the case. A lot of that is moving to asynchronous, some in chats. You get the message, you can send back or email or whatever, and then you basically have a team of people who are resolving cases but not doing it while on the phone with the customer. There may be no way of actually understanding what happened because there are no logs like, 'Hey, I'm now updating your thing.' There's no way of understanding how it was done. We give that visibility, the observability of who does what, how they do it, how, say, a refund request gets resolved. Maybe the average is 10 minutes to handle this, but my top NPS score person takes eight minutes while my bottom one takes 14 minutes. Which part of that flow expands most on the slow ones? Why? What happens? Is it a knowledge base article? Is it some agent that wasn't trained? We basically analyze live agents. We've seen the more veteran agents don't go look up the case. They know how to do it. And so if a knowledge base is wrong, it actually only affects the new agents because they're reading the knowledge base to resolve it, and they're being misinformed. Whereas the veteran agents don't actually read it, so they do it correctly. The loss of time comes from agents being misinformed. It's very nuanced. And in every company's case, their knowledge bases are always out of date. Their SOPs (standard operating procedures) are out of date. Which ones are out of date? How do you know? All of that stuff is very important when you move from existing non-automation to automation. So in the example that you gave about refund processing, do you do this on a case-by-case basis? In other words, each company's refund processing may be different. If you're an enterprise, you may have built 15 different business applications that are custom, that are homegrown, that have evolved over the last 10 years. Your refund request goes from Service Cloud to four different internal systems that you've built over the last 10 years. Each company is different. Your industry is different. Let's say you're in hospitality. You might be using the same two systems, but they're so customized, they're so different. Whatever the scenario is, it's very much kind of nuanced to the customer. IT is a lot more uniform. Everyone has their ServiceNow. Everyone has Okta and their other SSOs (single sign-ons). Those are much more uniform. But the process is still different because you have compliance, different geographies, different support methods. The main part of AI migration is really moving from a human resolving a case start to finish, which is sequential, whereas AI can do it in parallel. Think of doing a password reset. My first step is to look at the ticket in ServiceNow. I then go to Workday and look up your profile and see that you are still active before I'm allowed to reset your password, because that's a compliance thing. Then I go to Okta and reset your password. And then I go to ServiceNow to tell you I've reset your password. That's four different systems, four steps. The second step today needs to be done by you as a human, but it doesn't need to be. It could be done by an LLM that looks you up on Workday, does the screenshot of the page, and dumps it into a directory, while another LLM reads all the screenshots that were done today for all the reset passwords. And so when I as an agent go to resolve the password reset because I need to manually do it because that's the compliance requirement, I already have a green check that an LLM has checked that that employee is still active on Workday. And so now you resolve part of it asynchronously, but you're basically rethinking the process. It's like the routes that you take when driving What sales channels do you use? We do direct. We just started partnering with some of the very large systems integrators, which basically allows them to do time and motion studies. This is almost like AI-driven time and motion studies on steroids. You can do a scaled backlog of what needs to be automated. And so those are really our future partners, which is what we're starting now. Is 8Flow close to profitable yet? No. We're an early-stage startup. We're starting to have revenue, but we're not close to profitable. Anything else we need to know about 8Flow? We're hiring, like everyone else. The founding team has been together for 11 years. We worked together in my last startup and in ServiceNow. It's cool to do it together with ServiceNow and partners that we've worked with before. It's a cool group of people, and we like what we do.