Oversight, Analytics, Adjustments, and Testing work together to keep AI agents reliable in production: we continuously monitor interactions and surface the conversations that need attention, analyze conversation volumes to pinpoint where performance and user experience can be improved, and enable business teams to safely refine agent behavior and manage what data the agent can access, without waiting on engineering for every change. Every update is validated through testing to prevent regressions and ensure changes don't break other workflows, channels, or use cases.
AI agents are increasingly customer-facing and mission-critical, but once deployed, organizations often struggle to maintain reliability, safety, and consistency as usage grows, knowledge changes, and new versions roll out. Our solution helps you understand, validate, and govern AI agent behavior in production by giving both technical teams and business owners clear visibility and practical control over how agents perform.
At the core are four modules that support the full operational lifecycle of production agents:
Oversight continuously monitors agent interactions and automatically surfaces the conversations that matter most, such as high-risk, low-quality, or high-impact cases, so teams can focus attention where it's needed instead of manually reviewing everything.
Analytics turns large-scale conversation data into actionable insights. It highlights trends, recurring failure modes, topic-level performance gaps, and user friction points, making it clear which areas to improve first and how those improvements affect outcomes over time.
Adjustments empower business stakeholders to manage the agent day-to-day. Business teams can refine behavior, policies, tone, and decision boundaries, and safely control what knowledge and data the agent can access, without requiring engineering involvement for every change. Guardrails and workflows help ensure updates are made in a controlled, auditable, and reliable way.
Testing ensures that changes are safe to release. Every update, whether it's a behavior tweak, a knowledge adjustment, or a new version, is validated to prevent regressions and confirm that improvements in one area don't break other flows, channels, or use cases.
Together, these capabilities shift control to the teams who understand what 'good' looks like, your business units, while maintaining the governance, safety, and quality standards required for production AI.
Highlights
Production AI agent oversight and governance: continuously monitor customer-facing agent conversations, flag high-risk or low-quality interactions, and keep teams in control as the agent evolves.
Actionable analytics at scale: identify the topics, journeys, and failure patterns that most impact customers, so you know exactly what to improve next.
Business-owned control with safe change management: empower business teams to adjust agent behavior and knowledge access with guardrails and testing that prevent regressions.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one contract option: the Starter Package, sold in units. It covers a conversation analysis module for up to 3 AI agents and up to 150,000 conversations per month. Your usage limits are set by two ceilings under this single package: the number of agents and the monthly conversation volume. Pricing does not tier up through separate plans here; you commit to this defined scope. If your agent count or conversation volume grows beyond these limits, contact the vendor to discuss options.
Top-of-mind questions for buyers
What counts as one conversation for the 150,000 monthly limit?
A conversation is a single customer interaction that the platform reads and analyzes. This applies to both voice and chat agents, regardless of which vendor or model built them. The platform monitors each interaction and surfaces only those flagging issues like policy violations, hallucinations, or missing disclaimers.
What happens if I exceed 3 agents or 150,000 conversations in a month?
The Starter Package sets two ceilings: up to 3 agents and up to 150,000 conversations monthly. The package does not tier up automatically. If your agent count or conversation volume grows beyond these limits, contact the vendor to discuss options for your scope.
Does the conversation analysis module require changes to my existing agent infrastructure?
No. The platform sits above your agents as an independent layer with no modifications to your infrastructure. It works with agents built in-house or by any vendor, on voice or chat. You can deploy it on-premises, in private cloud, or hybrid, so your data stays inside your environment.
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