VFF - The signal in the noise
News

Intuit Automates Disaster Recovery Decisions with Bedrock AI Agent

Read original
Share
Intuit Automates Disaster Recovery Decisions with Bedrock AI Agent

Intuit built EWOK Agent, an AI-powered disaster recovery assistant using Amazon Bedrock, to automate decision-making in failover scenarios across its microservices infrastructure. The agent encodes failover knowledge as skills and uses foundation models to determine recovery workflows, while EWOK handles deterministic execution. Teams at Intuit have used it for eight months to reduce recovery coordination from hours to about 20 minutes for supported workloads.

  • Intuit deployed EWOK Agent, an agentic system built on Amazon Bedrock, to automate disaster recovery decisions across thousands of microservices
  • The agent handles decision-making (which recovery workflow to use, policy compliance) while EWOK executes the underlying infrastructure actions
  • Recovery times for supported workloads dropped from several hours to approximately 20 minutes
  • The system has been in production use across Intuit teams for eight months and is delivered as a plugin for the Engineering portal and IDEs

Disaster recovery at scale requires both fast execution and correct decision-making under pressure. Intuit's approach separates these concerns, using AI to handle the knowledge-intensive decision layer (which recovery workflow applies, policy exceptions, emergency overrides) while keeping deterministic infrastructure orchestration separate. This pattern shows how agentic AI can augment operational systems without replacing their core logic.

For companies operating mission-critical financial systems across multiple regions, failover speed and accuracy directly impact revenue and customer trust. Automating the decision layer reduces mean time to recovery and removes dependency on tribal knowledge held by senior engineers, improving operational resilience and team scalability.

  • Agentic AI is moving beyond chatbots into production operational systems where decisions must be policy-aligned and auditable
  • The separation of AI decision-making from deterministic execution is a viable pattern for high-stakes infrastructure operations
  • Amazon Bedrock's multi-model access and managed infrastructure enabled Intuit to add reasoning without building custom ML infrastructure

Monitor whether Intuit expands EWOK Agent to additional failure scenarios or whether other enterprises adopt similar patterns for operational decision-making. Watch for how guardrails and audit trails evolve as agentic systems handle more critical business processes, and whether the model-execution separation pattern becomes standard practice in enterprise infrastructure automation.

OneUpAI
OneUp Your Business. Get More Done. OneUp Your Business. Get More Done. OneUp Your Business. Get More Done.
Learn More
Share

Subscribe to the newsletter

The latest stories and analysis, delivered to your inbox.

Free. No spam. Unsubscribe any time.

Related stories

OpenAI Launches Decision Model to Challenge Jev
TrendingModel Release

OpenAI Launches Decision Model to Challenge Jev

OpenAI has launched its decision model to broad availability, entering direct competition with Jev in the decision model market. The move marks OpenAI's entry into a category that Jev currently leads. The competitive landscape for decision models is intensifying as multiple players vie for market share.

by Tim Fernholz· TechCrunch AI
1Password Lets AI Agents Log In Without Seeing Your Password

1Password Lets AI Agents Log In Without Seeing Your Password

1Password has launched a feature that enables AI agents to log into user accounts on their behalf while keeping passwords hidden from the agents themselves. The capability allows automated systems to access and manage accounts without exposing sensitive credentials. This addresses a core security challenge in AI agent deployment, where delegation of tasks typically requires sharing login information.

by Lucas Ropek· TechCrunch AI
Datadog Bids $4B for Cloud Security Startup Upwind

Datadog Bids $4B for Cloud Security Startup Upwind

Datadog has offered approximately $4 billion to acquire Israeli cloud security startup Upwind Security, according to sources with direct knowledge of the talks. Upwind is finalizing a $300 million funding round at a $3.8 billion valuation, meaning Datadog's offer carries minimal premium. The startup provides software to monitor cloud-based applications, including AI agents, and detect and automatically respond to potential security breaches. Upwind has received multiple takeover bids but has not accepted any offers.

by Valida Pau· The Information
Spotify Bets on AI Agents as Next Distribution Channel

Spotify Bets on AI Agents as Next Distribution Channel

Spotify co-CEO Gustav Söderström has outlined the company's strategy to position itself as the music service of choice for AI agents. As autonomous AI systems become more prevalent, Spotify is betting that agents will need to integrate music functionality, creating a new distribution channel for the platform. The move reflects how Spotify is adapting its business model to capitalize on the emerging AI agent ecosystem rather than viewing it as a threat.

by Lauren Forristal· TechCrunch AI