Incode Launches Workflows for Customer Onboarding on Its Omni Platform

Incode Technologies has launched Incode Workflows, a new orchestration tool designed to inject conditional logic into digital onboarding. For fintech firms, this provides a mechanism to automate risk-based friction, allowing for smoother paths for low-risk users while instantly escalating security checks for suspicious activity to protect revenue and prevent fraud.

What was announced

Incode Workflows is an add-on feature for the company's flagship Incode Omni platform. It introduces rule-based conditional logic to user flows, allowing businesses to customize the onboarding experience based on specific risk levels. The tool is designed to be simple to deploy via no-code capabilities that function across various devices and platforms.

Key functionalities include the ability to optimize flows with business rules, define the specific order of steps in the user experience, and receive real-time risk signals according to those defined rules. The update also includes analytics and reporting capabilities to provide insights into how these flows are performing in live environments.

For organizations that do not require conditional logic, Incode continues to offer its standard "Incode Flows" within the Omni platform. This existing option allows users to select from over 50 modules to build identity verification processes that Incode claims can capture up to 99% of fraud. The Omni platform itself is a fully automated, end-to-end orchestration system utilizing proprietary AI, machine learning, and anti-fraud components for ID verification and authentication. Incode is showcasing these new capabilities at the Money 20/20 exhibition in Las Vegas from October 23-26.

The companies involved

Incode Technologies is a provider of identity solutions, positioning itself as a disruptor in the identity verification and authentication space. Based in San Francisco, the company focuses on creating frictionless, secure digital experiences through its proprietary technology stack. Its core offering, Incode Omni, serves as an end-to-end orchestration platform that integrates various AI and machine learning components to handle digital onboarding and regulatory compliance.

The company operates in a highly competitive market where the balance between user experience and security is paramount. By providing fully automated solutions, Incode aims to reduce the reliance on manual reviews, which often slow down customer acquisition for financial institutions and other digital-first businesses. Incode’s technology is designed to meet high standards of security and regulation while maintaining a high level of user experience, making it a significant player for enterprises looking to scale their digital identity infrastructure globally.

What FF News has reported before

FF News has previously tracked Incode’s expansion and its warnings regarding the evolving threat landscape. The company recently highlighted the rise of sophisticated attacks, noting that Agentic Fraud to Exceed 90% of All Attacks by 2028 as Incode Warns of AI-Driven Surge. This focus on AI-driven threats underscores the necessity for the dynamic orchestration found in their new Workflows product. Additionally, Incode has demonstrated its versatility across sectors, such as when Hudini and Incode Technologies Enter Strategic Partnership to Digitally Transform the Hospitality Experience. This earlier collaboration showed the company’s intent to move beyond pure finance into broader digital transformation roles within the hospitality industry.

What this means

The move toward "no-code" orchestration with conditional logic reflects a broader industry shift where agility is becoming as important as the underlying security technology. Fintechs are under constant pressure to lower abandonment rates without exposing themselves to sophisticated fraud. By allowing firms to pivot their onboarding flows in real-time based on risk signals, Incode is putting pressure on traditional identity verification providers who rely on static, "one-size-fits-all" processes. The real test for the sector will be whether these automated logic engines can keep pace with generative AI threats that mimic legitimate user behavior, potentially bypassing standard conditional rules. This development raises the bar for competitors to offer more granular control over the user journey.