The Real Shift Behind Enterprise Agents

Feb 24, 2026: Anthropic launches even more enterprise agentic capabilities

Today, February 24, 2026, Anthropic announces the launch of even more enterprise agentic capabilities with Claude that will enable highly useful task performance across all knowledge work, especially in Sales, Legal, Finance, and Operations. Blank Metal is pleased to announce our participation in this launch as an implementation partner.

What We Thought Agents Would Be

For two years, the market has talked about AI agents like they were digital employees. Point-and-click builders. Autonomous bots you’d deploy to handle discrete workflows—one for contracts, one for CRM maintenance, one for financial reporting.

The mental model was delegation: identify a task, hand it to a bot, receive the output. Same shape as human delegation, just faster and cheaper.

What we got is so much better.

What Anthropic Built Instead

Anthropic’s enterprise agentic capabilities launch builds on Claude Cowork—but the architecture isn’t “build and deploy discrete bots.” Instead, it deconstructs and reimagines work itself.

The building blocks:

Skills: Discrete capabilities you teach Claude—checking SOWs for margin, applying brand style, researching prospects.

Connectors: Links to your systems via MCP, giving Claude direct access to your enterprise context.

Commands: Workflow shortcuts that bundle common operations.

Subagents: For complex work, Claude delegates to other Claudes with specialized configurations.

These bundle into Plugins—shareable packages that turn Claude into a domain specialist. Here’s what makes this architecture powerful: Anthropic is shipping foundational plugins for domains like Sales, Legal, Finance, and Operations. These aren’t closed systems—they’re starting points. Each plugin establishes a baseline capability that elevates everyone’s Claude immediately. Your Sales team gets sophisticated pipeline analysis and deal coaching out of the gate. Your Finance team gets month-end reconciliation logic and variance analysis built in.

But then each person can extend those foundations with their own skills. Your Head of Sales can add your specific qualification criteria and competitive positioning. Your Controller can layer in your cost allocation rules and reporting templates. The published plugin gives everyone a sophisticated baseline. Your custom additions make it yours.

This is fundamentally different from building agents from scratch or buying point solutions. You’re not starting from zero, and you’re not locked into someone else’s complete vision. You’re building on a foundation that keeps getting better as Anthropic and the community contribute new capabilities.

The key insight: you’re not sharing agents that orchestrate workflows. You’re sharing the underlying skills and recipes that any agent can use.

One universal agent. Continuously uploadable capabilities. Not a workforce of specialized agents, but a single collaborator that keeps getting better at more things.

This requires a completely different relationship with the machine.

The Capabilities Organizations Need to Develop Making this leap means building new organizational muscles:

Capability decomposition. The old paradigm asks “which agent handles this task?” The new paradigm asks “what skills does this task require?” That means breaking work into teachable components—not “handle expense reports” but “verify receipt amounts against submitted totals >> apply company travel policy logic >> flag outliers for review >> format approvals for the finance system.” Many people have never articulated their work at this level.

Taxonomy building. You’re not just teaching Claude one skill. You’re building a structured map of what your organization actually does—the underlying capabilities that combine into the workflows you run every day. This becomes an organizational asset that compounds over time.

Real-time evaluation. With traditional agents, engineering teams could evaluate a shared agent’s outputs against expected outcomes. In the Claude Cowork model, each user runs their own configuration of capabilities. There’s no single “agent” to QA centrally. You become responsible for evaluating your own outputs—or for building skills that do evaluation for you.

Non-linear delegation. When you delegate to a person, you’re renting a bundle of pre-existing capabilities. They know how to write emails, navigate systems, and apply judgment. With Enterprise Agents, you start with shared organizational context and connectors, but then you’re building capability bundles yourself—skill by skill, connector by connector. It’s not “hire someone who knows the job.” It’s “teach a universal intelligence your specific version of the job.”

The good news: Claude Cowork with access to your enterprise context can get you pretty far out of the gate. And these skills compound. Organizations that invest in shared context and capability decomposition now will have skill libraries that grow more valuable every month.

It’s not automation. It’s capability architecture.

Why Blank Metal Is an Implementation Partner

At Blank Metal, we’ve been living this transformation. Over the past year, Claude Code and similar AI coding assistants fundamentally changed how our engineering team works. We stopped thinking “write this code” and started thinking “solve this problem.” We built capability taxonomies, learned to decompose our workflows into teachable skills, and came out the other side thinking differently about what software development even is.

We recognize this pattern. Enterprise Agents is the same shift—now available to everyone, not just developers.

Here’s what we know from experience: technical work isn’t the bottleneck. The hard work is helping teams shift from “automate this task” to “what capabilities does this task require?”

The engagement pattern we’re seeing:

First, connector infrastructure—ensuring MCPs exist for internal systems so agents can access critical company knowledge.

Second, capability mapping—the difficult work of decomposing organizational processes into teachable skills.

Third, adoption enablement—helping people internalize a new mental model for human-AI collaboration.

This isn’t about building something and handing it off. It’s about changing how your organization thinks about work itself.

The Moment of Choice

Anthropics expanded enterprise agentic capabilities for Claude are live. The organizations that recognize this as a paradigm shift will build capability libraries that compound over time. The ones looking for discrete task automation will find plenty of options. They just won’t be the ones defining what enterprise AI looks like in two years.

The architecture is here. The question is whether your organization is ready to think about work differently.

Ready to start mapping your capabilities? Let’s talk.