Adrian Murray, Author at Fisent Technologies Inc. https://fisent.com/author/adrian/ Fisent uses GenAI to automate key business processes, allowing you to spend your time where it matters Mon, 23 Mar 2026 17:04:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://fisent.com/wp-content/uploads/2024/04/cropped-Fisent-icon-1-32x32.png Adrian Murray, Author at Fisent Technologies Inc. https://fisent.com/author/adrian/ 32 32 Top Worktech News From the Week of March 20th: Updates from Nintex, BMC, Kore.ai, and More https://solutionsreview.com/enterprise-resource-planning/top-worktech-news-from-the-week-of-march-20th/#new_tab Mon, 23 Mar 2026 14:35:01 +0000 https://fisent.com/?p=19880 Fisent Technologies, the leader in Applied GenAI Process Automation, reported exceptional progress in 2025 establishing itself as the enterprise standard for turning unstructured enterprise content into automated outcomes.

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]]> Fisent Technologies Realizes Over 365% Growth in Recurring Revenue in 2025 as Adoption of Applied GenAI Process Automation Accelerates https://fisent.com/2025-year-in-review/ Thu, 22 Jan 2026 09:00:50 +0000 https://fisent.com/?p=17589 The post Fisent Technologies Realizes Over 365% Growth in Recurring Revenue in 2025 as Adoption of Applied GenAI Process Automation Accelerates appeared first on Fisent Technologies Inc..

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Customers Standardize on Fisent BizAI to Automate Unstructured Content Processing Across the Enterprise

TORONTO (January 22, 2026) – Fisent Technologies, the leader in Applied GenAI Process Automation, reported exceptional progress in 2025 establishing itself as the enterprise standard for turning unstructured enterprise content into automated outcomes.

The company generated 206% year-over-year total revenue growth and 365% growth in licensing revenue. This expansion was underpinned by the deployment of Fisent BizAI with new and existing customers for additional use cases throughout the enterprise. On average, Fisent customers are currently running more than three implementations of Fisent BizAI, all with plans for more deployments in the year ahead. Customer enthusiasm for the Fisent solution is evidenced by a Net Revenue Retention (NRR) of 173% in 2025 and zero customer churn over the past three years.

Fisent’s performance in 2025 demonstrated a powerful combination of growth at scale, market traction, and operational efficiency, with the company close to doubling its global team. The company continued its product leadership in the category with the release of Fisent’s agentic “Actions Framework,” the addition of self-serve configuration through the BizAI Studio, and deepened content-processing capabilities. This was supported by the successful completion of $2 million in seed funding from industry leaders such as Pegasystems and Cloudberry Ventures.

“2025 was the year Applied GenAI Process Automation became an imperative,” explains Adrian Murray, Founder and CEO of Fisent. “As compared to the challenges with testing and trialing AI agents today, our customers are in production with Fisent BizAI implementations operating at scale across many use cases. Unlike AI applications that simply process data, we are transforming unstructured enterprise content to eradicate bottlenecks and unlock valuable enterprise outcomes. And we’re just getting started.”

Additional milestones achieved by Fisent in 2025 include:

Customer Deployments Across the Enterprise

  • Serving customers across banking, lending, wealth management, and insurance industries that generate over $30 billion in annual revenue
  • On average, customers have at least 3 Fisent BizAI use cases in production
  • 90% of customers brought at least 1 new use case into production in 2025
  • All existing customers have identified additional use cases to be delivered in 2026
  • Deployments automate outcomes across enterprise functions such as operations, finance, customer service, sales, legal and compliance

Product Innovation and Security

  • Launched the new Fisent BizAI Studio, providing Fisent BizAI customers with a self-service environment and real-time visibility into use case performance.
  • Introduced BizAI Actions, a suite of specialized capabilities that work in concert to transform unstructured data into automated outcomes.
  • Built a confidence rating capability that uses multiple techniques to determine predictive confidence, allowing organizations to automate repetitive expert decision-making with the same rigor and auditability as human-led processes.
  • Enhanced its GenAI Efficacy Framework (GEF) to augment the testing and analysis of our customers’ use cases pre-and post-production.
  • Completed comprehensive penetration testing and a 2025 SOC 2 Type 2 audit with an expanded scope, ensuring Fisent BizAI meets the highest security and compliance standards for regulated industries.
  • Deepened content processing and model evaluation capabilities strengthened the scalability and reliability of the platform.

Notable Customer Successes in 2025

  • Maintained momentum in financial services as AEGIS London, CMG Financial, one of the world’s largest wealth management firms, and multiple prominent banks selected Fisent BizAI to automate complex, human-dependent tasks.
  • In manufacturing, Westinghouse Electric implemented Fisent BizAI in 2025 to streamline parts and equipment fulfillment for nuclear plants.

Industry Leadership and Recognition

In 2026, Fisent will continue to expand its footprint through the conversion of its healthy pipeline of Fortune 500 companies, of which many will be leveraging Fisent BizAI as an enterprise solution. For many of these organizations, unstructured content processing represents the last mile of automation, leading to tens of millions of dollars in value unlock. By delivering high-precision results and seamless integration with legacy infrastructure, Fisent ensures companies can continue moving beyond AI experimentation and into full-scale production to unlock meaningful business outcomes.

About Fisent

Fisent turns unstructured enterprise content into automated outcomes. Fisent BizAI is a zero-retention agentic software solution that reliably understands and processes any content within complex enterprise workflows. By leveraging the power of GenAI models, Fisent’s Applied GenAI Process Automation solution enables process automation of time-consuming repetitive tasks. It is production-proven with Fortune 500 customers including those in highly regulated industries such as banking, insurance, and wealth management.  For more information, please visit: www.fisent.com.

Media Contact

Mark Tordik
Broadpath (PR for Fisent)
215-644-6502
mtordik@broadpathpr.com

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]]> Press Release2 Adrian Murray on Applied GenAI & Automating Complex Workflows https://www.youtube.com/watch?v=L8PKEBvwFLk#new_tab Mon, 24 Nov 2025 16:17:34 +0000 https://fisent.com/?p=17045 Adrian Murray on Applied GenAI & Automating Complex Workflows

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]]> ITC Briefing: Fisent Targets Automation Gaps with AI That Understands Content https://iireporter.com/itc-briefing-fisent-targets-automation-gaps-with-ai-that-understands-content/#new_tab Thu, 20 Nov 2025 15:44:28 +0000 https://fisent.com/?p=17034 Fisent’s approach uses multiple techniques to assess generative AI output confidence, prioritized for customer use cases

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]]> AEGIS London Achieves 98% Accuracy with GenAI-Enabled Endorsement Processing Facilitated by Fisent BizAI https://fisent.com/aegis-london-achieves-98-percent-accuracy/ Wed, 22 Oct 2025 16:44:07 +0000 https://fisent.com/?p=16777 How a leading UK property and casualty insurer, AEGIS London, with an annual turnover of more than $1 billion, achieved transformative efficiency and underwriting insight by leveraging Fisent BizAI, the industry-leading Applied GenAI Process Automation solution.

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How a leading UK property and casualty insurer, AEGIS London, with an annual turnover of more than $1 billion, achieved transformative efficiency and underwriting insight by leveraging Fisent BizAI, the industry-leading Applied GenAI Process Automation solution.

The Challenges

Across enterprises, manual, human-dependent tasks are creating significant inefficiencies. These tasks, often involving diverse information, interrupt workflows and divert skilled personnel from core responsibilities and more valuable work. This is a universal problem for information-reliant organizations, where data variations make manual processing cumbersome and prone to error. AI holds a compelling solution to this challenge.

According to Roger Misra, Change Leader at AEGIS London, the rapid advancement of AI prompted the company to seek new capabilities. “We were getting lots of requests from our leadership team to try to add new AI capabilities within our key underlying processes,” he stated.

Like many in the property and casualty insurance industry, AEGIS London faced a critical bottleneck in its policy endorsement process. Processing endorsements, which are mid-year policy changes, previously required significant manual effort from brokers and underwriters. They had to interpret information, determine additional premiums, secure agreement on changes, and manually capture data for downstream systems. The core challenge was the sheer volume, tens of thousands of annual inquiries, which came from insureds and insurance agents, arriving in various formats with inconsistent details, making the workflow laborious and inefficient.

Experienced underwriters must manually analyze inbound inquiries to extract critical information. They then compare these details against existing policies to determine the necessary adjustments, summarizing the required policy amendments. This can involve adding, deleting, modifying, or excluding coverage to address the unique circumstances surrounding each policyholder’s change. This manual workflow was time-consuming, with each endorsement taking an average of five minutes.

AEGIS London correctly expected a GenAI solution should be able to automate a significant portion of endorsement processing. It needed a partner that could not only deliver a solution but also integrate seamlessly with its existing Pega platform and provide a clear path for future efficiency in a highly regulated environment. To address this challenge, the company took on a complex vendor selection process. The company’s comprehensive RFP revealed a wide range of options, from legacy market stalwarts with rigid, pre-trained models to consultants offering generic, platform-based solutions.

Finding Fisent BizAI

After a thorough evaluation, AEGIS London selected Fisent as its partner, viewing the company as the ideal fit. While AEGIS London considered a competitive solution focused solely on the London market, the company believed Fisent would be the better long-term choice due to its demonstrated ability to solve a wide range of complex problems. Roger Misra explained the choice, stating that Fisent is “a highly agile operation with knowledgeable people and proven ability to navigate the corporate governance we require.” The partnership began with an accelerator sprint, a hackathon-like workshop where key AEGIS London stakeholders, including underwriters, developers, and analysts, collaborated to prove the concept.

The team ultimately chose to tackle the policy adjustment endorsement process as the first at-scale manual process to automate. In only six weeks, Fisent BizAI was configured to automate rule application, understand the full rule set underwriters use to categorize endorsements (e.g., early, material, read-only), infer context, and capture the key data points from endorsement documents. The implementation was highly iterative, beginning with just six rules and ultimately expanding to a robust 55 rules. A critical element of the project’s success was a swift feedback loop, which allowed the administrative team to provide direct input on performance, leading to continuous refinement and improvement, and improving accuracy.

Business Outcomes

The implementation of Fisent BizAI yielded significant benefits for AEGIS London, transforming its endorsement process and setting the stage for future innovation.

  • Increased Accuracy: Fisent BizAI’s accuracy in categorizing endorsements and extracting data fields improved from around 70% to 98% after just three iterative cycles of refinement.
  • Dramatic Time Savings: The time to process a single endorsement was reduced from an average of five minutes to an average of about two minutes. An upcoming API integration is expected to further reduce the average processing time to between 15 and 20 seconds per endorsement. This integration is projected to automate more than 90% of all endorsements.
  • Enhanced Underwriter Efficiency: AEGIS London is now able to achieve a quicker and more consistent turnaround time, allowing underwriters to focus on more high-value tasks.
  • Improved Transparency: Fisent BizAI transforms unstructured or semi-structured data from documents into a structured format, which provides a better view for reporting and improves market knowledge

Uncovering an Unknown Risk

A critical, unexpected outcome of implementing Fisent BizAI was the discovery that a quarter of all endorsements were going unprocessed. These documents were simply sitting untouched in underwriter mailboxes, creating a lack of transparency and a substantial risk to business continuity.

While the immediate benefit was a reduction in exposure through automated routing, the long-term impact on AEGIS London’s risk posture is even greater. Fisent BizAI is now providing a rationale for all of its analyses. This new, data-driven insight helps the company better understand and manage its exposures, creating a more robust and transparent process than was previously possible. 

More Human-Dependent Tasks to Automate

Fisent’s agentic solution can be applied to a multitude of at-scale manual tasks. Most organizations typically find two to three dozen of these automation gaps within their operations.

For AEGIS London, the success of the policy adjustment endorsement automation effort has led to the implementation of Fisent BizAI throughout its operation, including document ingestion for new insurance quotes and the creation of risk summaries. AEGIS London views its relationship with Fisent as a long-term partnership, with the goal of implementing three to four new use cases per year.

According to Roger Misra, the return on investment for Fisent BizAI was evident, as it not only improved a single process but also provided a robust solution for ongoing digital transformation. He further noted that there were numerous potential applications for Fisent BizAI cases.

Key Takeaways

AEGIS London provides a clear example of how a major insurer, through its adoption of Fisent’s BizAI solution, transformed a cumbersome manual process into a highly efficient and accurate automated workflow. Key takeaways include:

  • Fisent BizAI achieved a 98% accuracy rate in data extraction and categorization, ensuring a high level of reliability.
  • Endorsement processing time was dramatically reduced, from an average of 5 minutes to about two minutes, with the aim of driving that number down to 15-20 seconds per endorsement.
  • Underwriters are freed from repetitive tasks, allowing them to focus on more high-value work.
  • The Fisent BizAI implementation identified that 25% of all endorsements were going unprocessed, eliminating a significant risk.

Ultimately, the success of Fisent BizAI proves the power of Applied GenAI Process Automation to drive transformative business outcomes and provides AEGIS London with a scalable solution for future digital transformation.

 Risk Elimination

Fisent identified that 25% of all endorsements were previously unprocessed in underwriter inboxes.

Fisent BizAI is able to ensure 100% of all endorsements are processed timely and accurately.

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]]> case-study-orcocorp CMG Financial partners with Fisent for AI-powered mortgage lending automation https://www.fintechfutures.com/personal-lending-mortgages/cmg-financial-partners-fisent#new_tab Wed, 08 Oct 2025 15:56:24 +0000 https://fisent.com/?p=16578 Fisent’s approach uses multiple techniques to assess generative AI output confidence, prioritized for customer use cases

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]]> CMG Financial Selects Fisent BizAI to Streamline Mortgage Loan Processing with Applied GenAI Process Automation https://globalfintechseries.com/finance/cmg-financial-selects-fisent-bizai-to-streamline-mortgage-loan-processing-with-applied-genai-process-automation/#new_tab Wed, 08 Oct 2025 15:37:56 +0000 https://fisent.com/?p=16581 Fisent Technologies, a pioneer in Applied GenAI Process Automation, announced that CMG Financial, a nationally recognized mortgage lender that specializes in home purchase and refinance needs, selected Fisent BizAI to automate its critical underwriting and processing workflows. Key mortgage origination processes will be streamlined and accelerated by Fisent’s solution, resulting in significant operational improvements for CMG Financial.

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]]> CMG Financial selects Fisent BizAI to streamline mortgage loan processing https://www.finextra.com/pressarticle/107400/cmg-financial-selects-fisent-bizai-to-streamline-mortgage-loan-processing#new_tab Tue, 07 Oct 2025 16:01:22 +0000 https://fisent.com/?p=16579 Fisent’s approach uses multiple techniques to assess generative AI output confidence, prioritized for customer use cases

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]]> CMG Financial streamlines critical workflows with generative AI process automation https://www.processexcellencenetwork.com/ai/news/cmg-financial-streamlines-critical-workflows-with-generative-ai-process-automation#new_tab Tue, 07 Oct 2025 15:48:26 +0000 https://fisent.com/?p=16580 Fisent’s approach uses multiple techniques to assess generative AI output confidence, prioritized for customer use cases

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]]> CMG Financial Selects Fisent BizAI to Streamline Mortgage Loan Processing with Applied GenAI Process Automation https://fisent.com/cmg-financial-selects-fisent-bizai-to-streamline-mortgage-loan-processing-with-applied-genai-process-automation/ Tue, 07 Oct 2025 13:43:41 +0000 https://fisent.com/?p=16512 The post CMG Financial Selects Fisent BizAI to Streamline Mortgage Loan Processing with Applied GenAI Process Automation appeared first on Fisent Technologies Inc..

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Leading Mortgage Lender to Automate Key Underwriting and Processing Workflows, Speeding Efficiency and Enhancing Borrower Experience

TORONTO (October 7, 2025) – Fisent Technologies, a pioneer in Applied GenAI Process Automation, announced that CMG Financial, a nationally recognized mortgage lender that specializes in home purchase and refinance needs, selected Fisent BizAI to automate its critical underwriting and processing workflows. Key mortgage origination processes will be streamlined and accelerated by Fisent’s solution, resulting in significant operational improvements for CMG Financial.

For most in the mortgage sector, a high volume of unstructured data creates significant challenges to business efficiency. The complexity of intricate loan agreements, coupled with manual processing, produces bottlenecks that can delay approvals. It also requires highly skilled underwriters to dedicate considerable time to routine data extraction, limiting their ability to focus on more valuable loan approval processes and client relationships.

“We sought a solution that could seamlessly interpret and transform the vast array of documents we handle daily,” explained Mark Hansen, SVP, Product at CMG Financial. “Fisent’s BizAI platform has proven its ability to rapidly understand and process diverse document formats, immediately delivering actionable data back to us. This automation empowers CMG Financial to enhance efficiency and make better, data-driven decisions with unprecedented speed.”

“Fisent BizAI is being applied to transform all types of business processes including those associated with mortgage origination,” said Adrian Murray, Founder and CEO of Fisent. “Proven by these use cases, our BizAI platform empowers lenders like CMG Financial to automate manual processes, improve accuracy, and gain a significant competitive advantage. Our work with CMG Financial showcases the benefits of harnessing LLMs to eliminate manual steps in the mortgage industry, and we continue to explore where we can similarly advance other areas of their operations.”

The decision to select Fisent reflects CMG Financial’s proactive approach to testing leading-edge, GenAI-powered technology. “At CMG Financial, we are committed to applying technologies that create competitive advantage and enhance client and employee experiences,” said Paul Akinmade, Chief Strategy Officer at CMG Financial. “Fisent is helping us establish efficiencies in mortgage processing workflows that drive down our cost to produce.”

CMG Financial is a well-capitalized mortgage lender founded in 1993 that makes its products and services available to the market through three distinct origination channels: retail lending, wholesale lending, and correspondent lending. The company is consistently recognized as a top-producing lender and top mortgage employer, and it prides itself on helping clients achieve the dream of homeownership through product innovation and streamlined servicing.

About Fisent

Fisent Technologies is revolutionizing how business is performed by utilizing GenAI to power intelligent actions that enable the automation of common enterprise business processes. By creating a bridge between the enterprise application layer and the rapidly evolving ecosystem of Large Language Models, Fisent’s Applied GenAI Process Automation solution, BizAI, enables process automation of time-consuming repetitive tasks such as complex contract analysis, new customer onboarding, customer request resolution, and purchase order fulfillment. By combining the power of new technologies and its industry expertise, Fisent creates solutions that are fast, efficient, and cost-effective for customers of all sizes, helping them to achieve their desired business outcomes. For more information, please visit: www.fisent.com.

Media Contact

Mark Tordik
Broadpath (PR for Fisent)
215-644-6502
mtordik@broadpathpr.com

The post CMG Financial Selects Fisent BizAI to Streamline Mortgage Loan Processing with Applied GenAI Process Automation appeared first on Fisent Technologies Inc..

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