Kiteworks is a cybersecurity company that enables organizations to securely share sensitive content in compliance with global data privacy regulations. At a $1B+ valuation, the company serves over 100M end users and more than 3,650 global enterprises and government agencies across industries.
New Entities and Fragmented Systems Slowed Treasury Operations
After raising its largest private equity investment to date, Kiteworks entered a period of hypergrowth, making six acquisitions and scaling to a total of 10 legal entities across the U.S. and EMEA. For Kristine Radhakrishnan, VP, Global Controller, maintaining an accurate view of Kiteworks’ financial position amid these shifts became a top priority. To achieve that goal, however, she realized the company’s tech stack needed to evolve.
At the time, the company’s accounting and finance operations were highly fragmented. Rapid growth had left the finance team managing seven currencies, 66 accounts, and over 20 bank relationships. Transaction data from those entities was siloed across multiple systems supporting payroll, equity management, and expenses.
To produce an accurate cash position, 20 accountants pulled data from each source, then manually matched, classified, and reconciled transactions in NetSuite following entity-specific rules. This manual model consumed substantial time and effort, making it unscalable against the complexity of Kiteworks’ global operations.
“We were spending significant time navigating different currencies and reporting practices just to get numbers we could trust,” shares Kristine. Without a standardized process, the team found it increasingly difficult to maintain records with clear audit trails and provide a timely view of available cash. That limited visibility made it harder to monitor business health and manage near-term spending and payment priorities.
Manual cash operations also slowed granular cash flow forecasting. As a result, leadership had to wait longer to sequence growth initiatives and report the company’s financial outlook to its board and sponsor.
With a goal of bringing acquired entities into Kiteworks’ financial standards within nine months, scaling through manual processes wasn’t an option. Hiring more people would only add cost while preserving the same fragmented workflows. And while general-purpose AI tools could help automate discrete tasks, a DIY approach risked creating even more inconsistent, person-dependent processes.
Kristine began looking for a standardized, scalable finance platform that would autonomously manage finance workflows and unlock visibility across fragmented systems. Because protecting sensitive data is core to Kiteworks’ business, any tool also had to pass rigorous security and penetration testing.
Soon, she discovered Maximor. After being vetted by Kiteworks’ security and IT teams, Maximor’s security posture and ERP-agnostic financial AI made it the trusted choice to safely modernize Kiteworks’ finance operations and support its next growth stage.
“Our treasury and cash management was managed by over 20 people working through nonstandard processes across different countries. It took significant effort to produce our cash position day-to-day. Maximor brought all of that together into one standardized finance operation.”
AI Agents That Streamline Treasury Operations and Deliver Cash Visibility
Onboarding Maximor was seamless. Kiteworks connected the platform to NetSuite, payroll platforms, expense tools, email, and spreadsheets, without the need for complex data migration. With direct access to these systems, Maximor’s AI agents began analyzing Kiteworks’ historical bank activity, transaction records, and operating model to understand the reasoning behind every financial decision.
The Maximor team worked closely with Kristine’s team throughout this process, configuring workflows and answering questions. With this hands-on partnership, the platform created a unified finance context layer in less than four weeks.
“I was beyond impressed with the speed of implementation given the complexity of our environment.”
Today, Maximor’s AI agents leverage this layer to consistently apply the right policies and reconciliation approach for every entity and financial situation. Transactions are automatically matched and posted into NetSuite, while new or unusual scenarios are flagged for manager-level oversight. Kristine and her team use natural language to explain these edge cases, creating a “continuous learning loop” that improves agent performance over time.
Across Kiteworks’ legal entities, Maximor serves as the operating system for treasury and cash operations. The platform standardizes workflows across entities, regions, and data sources. Its agents then consolidate financial data, translate currencies, and eliminate intercompany transactions, creating a trusted view of company-wide performance.
With this foundation, communicating Kiteworks’ cash position is no longer a manual, point-in-time exercise. Maximor’s agents ingest, match, classify, and reconcile transactions as they come in. Using this continuously updated data, Maximor generates automated daily cash views by currency, legal entity, and region, providing an accurate snapshot for the CEO and leadership.
Because the platform handles this process end-to-end, Kiteworks reduced the number of accountants required to manage cash globally from 20 to five. Kristine’s team spends more time identifying liquidity risks and advising on major business commitments, while leadership can manage near-term obligations and operating priorities with greater confidence.
The impact extends beyond cash management. By making Maximor the primary system to post cash entries, transactions remain accurate at all times. And with just a click, the team now generates balance sheet reconciliations in seconds, with full audit traceability across entities and accounts, strengthening tight financial controls.
As Kiteworks grows, the team trusts Maximor to support more strategic financial planning. Maximor’s agents continuously learn from past cash activity and apply company rule sets across ERP data, sales pipeline reports, and internal databases. With this intelligence, the team fine-tunes cash forecasts, helping leadership sequence investments with greater speed and precision while strengthening investor trust.
“We’re very impressed with Maximor’s ability to produce accurate financial results and standardize complex finance processes. By learning from our transaction history and operating within our policies, the agents automate work while maintaining the oversight and controls our team requires.”
Kiteworks Creates Audit-Ready Reconciliations in Seconds with Maximor
By partnering with Maximor, Kiteworks streamlined fragmented treasury and cash management processes with autonomous finance. As a result, the company can bring newly acquired entities onto standardized financial processes faster and more consistently. The team now monitors Kiteworks’ cash position with minimal effort, giving leadership timely visibility and more precise forecasts to support continued growth.
What’s next?
Looking ahead, Kristine plans to extend Maximor’s AI agents into Kiteworks’ end-to-end close and reporting. With that shift, her team will spend even more time on the strategic work that drives the business forward.
“One of the biggest shifts in our work since implementing Maximor is that we are no longer looking to add more resources. Instead, we’re finding new ways to increase the capacity of our existing team, scale our operations more efficiently, and dedicate more time to strategic work.”
