Solution That Goes
Beyond Simple Automation

Ada calls for ongoing human oversight to manage edge cases. You also need to tune flows and handle escalations as automation scenarios grow more complex. CogniAgent reduces day-to-day supervision. It allows agents to reason through exceptions and complete multi-step tasks, meaning you need only to home in on governance and high-level control.

In Ada, actions in external systems are limited to predefined integrations and often require safeguards or manual approval for anything beyond standard support tasks. CogniAgent is built to trigger actions directly across connected systems, allowing agents to execute approved workflows independently while keeping controls and permissions in place.

You can notice the difference in where each platform fits. Ada is designed mainly for customer-facing interactions, helping you handle support conversations at scale. CogniAgent supports both customer-facing and internal use cases, so you can automate operational work across teams, not just front-line support.

The way you track activity changes depending on the platform. With Ada, you mostly see conversation histories and the actions taken during customer interactions. CogniAgent gives you a wider view, letting you track how agents move through workflows, trigger actions across systems, and make decisions—so you always know what happened and why.

As your workflows become more complex, the effort to keep things up to date starts to differ. With Ada, you typically need to revisit conversation flows, intents, and rules whenever new scenarios appear, which can slow updates over time. With CogniAgent, you can adjust logic and workflows more flexibly, so agents continue working smoothly as your operations change and expand.