Build, discover, and monetize AI agents.

Oracle adds a pro-code builder for Fusion Agentic Applications

What changed: Oracle announced an AI-native builder experience that lets pro-code developers and coding agents create and run Fusion Agentic Applications inside Oracle AI Agent Studio (published July 14, 2026).

Why it matters: If you run or sell into Oracle Fusion customers, this widens who can build agentic workflows — not just business users in low-code tools but developers using VS Code, CLIs and Git — while keeping those agents inside the same Fusion governance and telemetry. That makes it faster to turn ERP/HCM/SCM processes into outcome-driven agents without stitching separate orchestration systems.

Try/watch: If you manage Fusion implementations, evaluate a small pro-code agent that automates a repeatable back-office task (e.g., invoice reconciliation) to test integration, monitoring, and how the Fusion governance surfaces agent decisions.

Entrust launches an “Agentic AI Trust Accelerator” for identity-first agents

What changed: Entrust introduced the Agentic AI Trust Accelerator, a co-development program focused on identity, authorization and cryptographic controls to help enterprises move autonomous agents from pilots into production (reported July 14, 2026).

Why it matters: Identity and continuous verification are becoming core for agents that act on behalf of users or systems; this program signals vendors and customers must treat agent identity, delegation and auditability as first-class problems rather than afterthoughts. For operators, that means planning for agent credentials, scoped permissions, and sustained verification across the agent lifecycle.

Try/watch: If you’re piloting agents, build an identity-first test (short-lived keys, scoped roles, and an auditable action log) and look to Entrust’s program for early patterns or reference implementations to speed safe production rollouts.

Frigade’s “Skills” puts no-code action-taking assistants inside products

What changed: Frigade launched Skills, which lets product teams add an assistant that performs actions inside their product (no code), plus self-learning behavior and options for self-hosting and enterprise controls (published July 14, 2026).

Why it matters: Product managers can turn conversational help into real product actions (schedule changes, generate reports, patch settings) without building and maintaining custom integrations — a quick path to reduce support load and improve in-product task completion. For buyers, the self-hosted option and SOC 2 claims matter for data residency and compliance.

Try/watch: Pilot Skills on a non-critical workflow that regularly drives tickets (e.g., user onboarding steps) and measure task completion vs. support deflection; watch for how action-level approvals, auditing, and rollback are exposed.

Alation launches AIOS — an operating-system approach to data + agents

What changed: Alation announced AIOS, a governed “intelligence operating system” that links data, dynamic context and agents so that decisions by agents carry lineage, freshness checks and continuous governance (press release July 14, 2026).

Why it matters: The common failure mode for agents is acting confidently on stale or incorrect context. A platform that ties agent decisions back to cataloged data, lineage and contextual rules reduces silent failures and gives compliance teams a place to validate why an agent made a choice — important for buyers who need explainability and audit trails.

Try/watch: Evaluate AIOS or similar stack pieces around one decision-heavy use case (pricing, product recommendations, or claims adjudication). Focus acceptance tests on data freshness, provenance, and the system’s ability to surface the exact inputs that produced an agent action.