AWS Partner Network (APN) Blog
Automating compliance testing with Fisent, Launchpad.io, and Amazon Bedrock
By: Ujwal Bukka, Senior Partner Solutions Architect – AWS
By: Brent Baiotto, COO – Fisent Technologies
By: Calvin Mickael, AWS Alliance Director, Launchpad.io – Pegasystems
Regulation E compliance testing is becoming harder for financial institutions and fintechs to scale, as regulators expect consumer dispute investigations to be handled consistently, accurately, and in line with error-resolution requirements. In this post, you learn how Kaufman Rossin used Fisent BizAI, Launchpad.io by Pegasystems, and AWS to automate that testing. For advisory firms that help these organizations assess compliance performance, the challenge is not only regulatory expertise—it is scale.
Each dispute review may depend on evidence scattered across case files, emails, chats, call recordings, scanned documents, correspondence, and other unstructured materials. If your team performs compliance testing, organizing and interpreting that evidence can require significant manual effort before your experts can even begin their analysis.
Kaufman Rossin, a risk advisory firm, set out to scale its Regulation E risk intelligence offering while preserving the controls, auditability, and expert oversight required by regulated financial-services customers. To achieve that goal, Kaufman Rossin worked with Fisent Technologies, Launchpad.io by Pegasystems, and AWS to develop RegE|RI, an Outcomes-as-a-Service platform for Regulation E compliance testing and monitoring.
RegE|RI combines deterministic workflow automation, applied generative AI, content intelligence, and AWS cloud infrastructure. With it, fintechs and financial institutions can automate and manage critical dispute monitoring workflows at scale.
Scaling Regulation E risk intelligence
Regulation E dispute testing requires consistent, evidence-based review of consumer error-resolution processes, often across account records, correspondence, case notes, third-party data, and call recordings. Before, Kaufman Rossin’s process was fully manual and time consuming, particularly when evidence arrived unlabeled or in unstructured formats.
RegE|RI turns this expertise-heavy service into a software-enabled Outcomes-as-a-Service model. Launchpad.io by Pegasystems provides deterministic workflow control; Fisent BizAI structures unstructured evidence and produces AI-assisted observations; and AWS provides the cloud-native foundation. Together, document storage, guided workflows, real-time reporting, call transcription, and human review let organizations scale testing and monitoring. Throughout, teams keep the accuracy, transparency, and audit trails they need to make defensible decisions.
This approach expands testing capacity while keeping compliance professionals focused on exceptions, final determinations, and higher-value advisory work.
The power of collaboration: Kaufman Rossin, Fisent, Launchpad.io by Pegasystems, and AWS
Figure 1 – RegE|RI solution architecture overview
The preceding figure shows the RegE|RI solution architecture overview; the components are described in the following list:
Kaufman Rossin brought deep Regulation E risk advisory expertise, practical knowledge of dispute testing, and the customer-facing Outcomes-as-a-Service model.
Launchpad.io by Pegasystems provided the workflow automation layer used to structure deterministic, rule-based processes. These workflows help guide case progression, support exception routing, and enable consistent operational execution.
Fisent Technologies provided BizAI, its applied GenAI and content intelligence platform. BizAI automates the ingestion, interpretation, extraction, and structuring of unstructured compliance evidence so that downstream workflows can act on reliable, normalized data.
AWS provided the secure, scalable cloud foundation on which RegE|RI runs. The solution was built to support scale, data security, and cloud-native architecture.
Together, the four organizations helped Kaufman Rossin bring a software-enabled compliance testing offering to market, while preserving the controls and human review paths required for regulated financial-services use cases.
How RegE|RI works
RegE|RI moves organizations from manual dispute testing to a structured, automated compliance monitoring model. Figure 2 shows the service delivery model.
Figure 2 – RegE|RI high-level service delivery model
Figure 3 shows the high-level process flow.
Figure 3 – RegE|RI high-level process flow
At a high level, the platform supports the following flow:
- Evidence intake
Dispute-related materials are collected from financial institutions, fintech partners, or internal teams. These materials may include structured documents, unstructured files, correspondence, chats, emails, scanned PDFs, call recordings, or other compliance evidence. - Content understanding and extraction
Fisent BizAI processes the incoming materials, detects file types, converts content when required, extracts relevant information, and structures that information for downstream workflow use. - Confidence scoring and exception handling
BizAI applies confidence scoring and efficacy measurement to support automation decisions. High-confidence outputs can move through the workflow more quickly, while lower-confidence or incomplete items can be routed to human reviewers. - Workflow orchestration
Launchpad.io by Pegasystems guides the deterministic workflows used to manage case progression, business rules, routing, review steps, and reporting. - Compliance analysis and reporting
RegE|RI supports ongoing tracking, real-time reporting, and AI-assisted observations that help teams identify potential compliance issues for review. - Human review where needed
Compliance professionals remain in the loop for exceptions, escalations, and final determinations where expert judgment is required.
This design helps Kaufman Rossin and its customers combine automation speed with the oversight needed for regulated financial-services operations.
Architecture on AWS
BizAI runs on a secure, cloud-native foundation on AWS that connects enterprise workflow systems, content intake channels, and model-host options. Amazon API Gateway enables secure integration with upstream workflow applications such as Launchpad.io by Pegasystems, Amazon Cognito handles authentication and authorization, and Amazon Simple Email Service (Amazon SES) supports email-based content intake. BizAI orchestrates the processing that turns unstructured inputs into structured, use-case-specific outputs, and applies its GenAI Efficacy Framework (GEF) so you can gauge output confidence and decide where to automate versus apply human review.
For AI model execution, Amazon Bedrock provides scalable, approved model hosting alongside bring-your-own-model options, while BizAI maintains orchestration, routing, governance, and confidence-assessment logic. Together these AWS services give BizAI a secure, observable, and scalable foundation for processing across regulated enterprise workflows.
Customer impact and results
With RegE|RI, Kaufman Rossin designed, developed, tested, and deployed a B2B SaaS platform for sophisticated enterprise clients. Fintechs and financial institutions can now automate and manage critical dispute monitoring workflows within RegE|RI.
“RegE|RI allowed us to transform a manual, expertise-driven compliance testing process into a scalable Outcomes-as-a-Service platform. By combining Kaufman Rossin’s Regulation E expertise with Fisent BizAI, Launchpad.io by Pegasystems, and AWS, we can help clients monitor dispute compliance faster, more consistently, and with the transparency required in regulated financial services.”
– Jason Chorlins, Principal, Risk Advisory Services – Kaufman Rossin
According to Kaufman Rossin platform data, RegE|RI deployments scaled over a two-year period to support more than 30 fintechs that require regulatory testing as part of their compliance posture. Since launch, more than 100,000 dispute cases have been tested and monitored through the service.
The following table summarizes the business results, as measured by Kaufman Rossin by comparing RegE|RI-assisted testing against its prior manual testing process:
| Outcome | Result |
| Fintech deployments | More than 30 fintechs supported over two years |
| Dispute cases tested and monitored | More than 100,000 cases since launch |
| Testing speed | 70% faster on average |
| Human intervention | 50% fewer hours required to test a typical dispute case |
| Deployment timeline | Typically less than one month to onboard and configure RegE|RI |
These results show how an Outcomes-as-a-Service model can help transform a manual compliance testing process into a repeatable, scalable, and software-enabled offering.
Conclusion
Kaufman Rossin’s RegE|RI platform demonstrates how advisory expertise, workflow automation, applied GenAI, and AWS cloud infrastructure can come together to create an Outcomes-as-a-Service model for regulated industries.
Kaufman Rossin transformed a manual Regulation E testing process into a scalable compliance monitoring platform by working with Fisent Technologies, Launchpad.io by Pegasystems, and AWS. Customers now spend less time on manual work and can expand testing capacity—without giving up the oversight that regulated financial-services operations demand.
As financial institutions and fintechs continue to modernize compliance operations, solutions like RegE|RI show how organizations can move from manual review to measurable outcomes—without sacrificing control, transparency, or expert judgment.
Call to action
If you are looking to modernize compliance testing, automate document-heavy workflows, or scale regulated operations, you can learn more about Fisent BizAI, Launchpad.io by Pegasystems, and AWS-based solutions for financial-services automation.
Read how Fisent Technologies is automating the last mile of enterprise automation
Discover how Launchpad.io by Pegasystems and AWS create Outcomes as a Service
Start a Free Trial of Launchpad.io by Pegasystems on the AWS Marketplace
Fisent Technologies – AWS Partner Spotlight
Fisent Technologies, AWS Select Tier Partner, transforms unstructured enterprise content into automated outcomes. With BizAI, organizations can automate document-heavy and knowledge-dependent processes within complex enterprise workflows across regulated industries, including banking, insurance, healthcare, lending, and wealth management.
BizAI combines content intelligence, applied GenAI, confidence scoring, model routing, and workflow integration. These capabilities support enterprise automation use cases where accuracy, auditability, and transparency are required.
Pegasystems / Launchpad.io – Partner Spotlight
Pegasystems is an AWS Advanced Tier Partner with AWS AI Competency that delivers AI-powered decisioning and workflow automation to major global enterprises. With Launchpad.io by Pegasystems, organizations can design and deploy rule-based, deterministic workflows for enterprise processes. In the RegE|RI platform, Launchpad.io by Pegasystems supports the structured workflow layer used to manage case progression, routing, review, and operational execution.