IBM Unveils Advancements Across Software and Infrastructure to Help Enterprises Operationalize AI
From Agentic Orchestration to Infrastructure Automation, New and Upcoming Capabilities Support Productivity for Developers, Lines of Business and Infrastructure
Generative AI has the potential to add trillions in economic value in the coming years. Yet, many organizations face barriers to adoption – ranging from fragmented hybrid environments to gaps in data quality and AI readiness.
"AI productivity is the new speed of business. These features will help clients remove bottlenecks across their entire technology lifecycle," said
Enhancing Performance for Agentic Orchestration
Core to
Capabilities include AgentOps, a built-in agentic observability and governance layer that provides full lifecycle transparency. With real-time monitoring and policy-based controls, AgentOps help assess agents' reliability.
Consider an HR agent onboarding new employees:
- Without AgentOps: The agent sets up benefits and payroll, but teams lack visibility into whether it's applying policies correctly or how it's handling sensitive data until problems surface.
- With AgentOps: Every action is monitored and governed, allowing anomalies to be flagged and corrected in real-time and helping drive a seamless onboarding experience from start to finish.
Businesses also require products that simplify agent setup and orchestration for both developers and non-technical teams. The following enhancements in watsonx Orchestrate aim to meet these needs:
- Agentic workflows: Developers often rely on brittle scripts that break when scaled. With Agentic workflows, now generally available, they can use standardized, reusable flows that sequence multiple agents and tools consistently.
- Langflow integration: Teams without deep coding expertise can use Langflow's drag-and-drop visual builder to help build an agent in minutes. This integration is currently in tech preview and is expected to be generally available end of October.
Additionally,
Advancing The Foundation That Gives Agents Trusted Context
Following its acquisition of HashiCorp,
For example, when a critical Common Vulnerabilities and Exposures (CVE) is discovered, the standard process is an individual will email dozens of teams across the organization and build a spreadsheet to manually track and ensure all known instances of the vulnerable component have been patched. Through Project infragraph, an organization can have one view of its entire infrastructure estate and security posture, without silos. It provides a live view — rather than manual CSV-based reporting — of what's being managed within HashiCorp Cloud Platform (HCP) and outside of it. The platform also allows users to drill down into any resource clusters in its infrastructure estate (such as any container running in a VPC) to see all components with near real-time data.
Project infragraph is planned to be delivered as a capability within HCP. In the future, Project infragraph plans to extend HCP to connect to
HashiCorp is now accepting applications for the private beta program for Project infragraph, which is expected to open in
Powering Developer Productivity
Project Bob – now in private tech preview – is a new, AI-first integrated development environment (IDE) designed with advanced task generation capabilities for enterprise software development lifecycles (SDLC), including software modernization.
Moving beyond today's AI coding assistants, Project Bob seeks to fundamentally transform SDLC by working alongside developers to write, test, upgrade and help secure software. Project Bob uses and orchestrates between industry-leading LLMs including
Key capabilities include:
- Application modernization at scale: Automated system upgrades and framework migrations and multi-step refactoring with context-awareness across large-scale codebases.
- Intelligent code generation and review: AI assistance that understands enterprise architecture patterns, security requirements, and compliance obligations.
- End-to-end orchestration: From initial development through testing, deployment, and maintenance, orchestrates modernization, testing and remediation tasks seamlessly while maintaining context across sessions.
- Security-first development: Embedding security directly into workflows, enabling "shift-left" vulnerability scans, expedited FedRAMP hardening and facilitating quantum-safe cryptographic migration.
To request access to Project Bob, click here.
Accelerating Enterprise AI Adoption With Choice
A critical barrier preventing businesses from harnessing AI's full potential is the inability to access and deploy these technologies in ways that align with their unique enterprise requirements. Organizations need the flexibility to choose where, how, and with which AI technologies they operate without being locked into a single vendor's platform.
To that end,
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From orchestration to outcomes: New agentic workflows and domain agents in
IBM watsonx Orchestrate - Empowering IBM Z Users with Agentic AI
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