Category: Amazon Bedrock AgentCore

OTTera, a white-label streaming service powering over 2,000 FAST channels, cut scheduling time by 60% by replacing manual workflows with AI agents built on Amazon Bedrock. In partnership with AI/R Compass UOL, OTTera modernized its core systems and deployed conversational AI that turns proprietary data into real-time scheduling intelligence, with projected Year 1 net profit exceeding $6.3 million*.

Agentic AI succeeds or fails on its data foundation, not the model behind it. Denodo and AWS give AI agents governed, real-time access to distributed data across hybrid, multi-cloud, and sovereign environments, without replication. Paired with Amazon SageMaker, Amazon Bedrock, and Amazon Quick, Denodo’s AI data layer delivers the active context agents need to reason accurately. Learn how a pan-African bank cut integration effort by up to 90%.

As agent estates grow from a handful of pilots to hundreds of agents in production, teams need to decide which agents to stop and which to promote. This post shows how Dataiku Agent Management works with Amazon Bedrock AgentCore and Amazon CloudWatch to discover, monitor, and control agents, using the signals AgentCore already emits.

Banking, financial services, and insurance (BFSI) institutions need AI systems that can act autonomously at market speed, but autonomy without governance is a nonstarter in an industry defined by regulatory intensity and operational risk. In this post, Apexon and AWS present an architecture-first approach to operationalizing agentic AI on AWS, with governance built in from the start across three layers: intelligence, orchestration and execution, and governance, security, and audit. Learn how governed agentic patterns apply to core BFSI workflows like customer onboarding, credit processing, and payments exception handling, enabling autonomy at scale while keeping every action traceable and auditable.

AI agents authenticate, hold permissions, and act on data, yet most organizations manage them as application components rather than governed identities. Learn how Saviynt Zuma works with Amazon Bedrock AgentCore to govern agents as first-class identities, from registration and least-privilege provisioning through runtime authorization, certification, and deprovisioning. Security teams can then answer which agents exist, who owns them, and what they can access.

The race to deploy agentic AI is outpacing the governance needed to put it into production – 74% of companies plan to deploy by 2027, yet only 21% have mature governance models. AWS launched GEAR (Governance Enabling Agentic Readiness) to close that gap, identifying partners whose governance accelerators compress months of setup into weeks and turn AI pilots into production-ready systems with measurable results.

A data migration consulting firm’s growth was limited by dependence on a small group of expert practitioners to execute complex validation workflows, creating bottlenecks that delayed client deliverables and constrained profitability. Mission Cloud and AWS built a production AI agent on Amazon Bedrock AgentCore that guides consultants through structured validation workflows and supports natural language SQL analysis, democratizing expertise across the entire team. New employees are onboarded significantly faster, and validation cycles that previously took weeks now complete in days.

As enterprises deploy AI agents at scale, traditional identity governance designed for human users can’t keep pace. With 80% of organizations reporting unintended agent actions, the need for purpose-built agent identity security has never been greater. Learn how SailPoint’s Agent Identity Security (AIS), built on Amazon Bedrock AgentCore, extends proven governance principles to autonomous AI agents, enabling automatic discovery, least-privilege enforcement, and continuous access reviews without slowing innovation.

You’ve deployed your agents on Amazon Bedrock AgentCore but making them reachable from Claude Desktop, VS Code, Cursor, or GitHub Copilot means building an “experience layer” that handles identity, authorization, discovery, and developer UX. In this post, ASCENDING shares how they turned that recurring integration work into the Jarvis Registry, an open source experience layer that runs inside your AWS environment and connects agents to every IDE and copilot. See how one customer uses it to serve both business users and engineers from the same set of agents, with department-scoped access enforced across every tool.

As enterprises race to ship features faster and reduce technical debt, AI-assisted development has moved from experimental to essential with Gartner predicting 75% of enterprise engineers will use AI code assistants by 2028. OpenAI ChatGPT Codex on Amazon Bedrock brings frontier agentic coding capabilities to AWS customers, enabling developers to offload complex, multistep coding tasks while maintaining the security, governance, and operational controls that enterprise environments demand. Learn how ChatGPT Codex goes beyond simple code completion to reason across entire repositories, generate tests and documentation, and accelerate delivery all through a fully managed, serverless API with zero operator access and pay-per-token pricing.