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Claude agents: understand, deploy,
and govern agentic AI in the enterprise.

A Claude agent is an AI system that uses an Anthropic Claude model to pursue a goal: it reasons, uses tools and acts on your systems through the MCP protocol, under human supervision. Koneetiv, a pure-play Anthropic partner, designs and deploys these agents in production.

Deploy my first Claude agentsSee the definition →
MCP
the open protocol connecting Claude to your systems
16
deployable Claude agent modules
LOOP™
human-in-the-loop governance in production
Pure play
100% specialised in Claude / Anthropic
MCPthe open protocol connecting Claude to your systems
16deployable Claude agent modules
LOOP™human-in-the-loop governance in production
Pure play100% specialised in Claude / Anthropic
MCPthe open protocol connecting Claude to your systems
16deployable Claude agent modules
LOOP™human-in-the-loop governance in production
Pure play100% specialised in Claude / Anthropic
Definition

A Claude agent
is not a chatbot.

A chatbot answers. An agent acts. A Claude agent takes a goal, breaks it into steps, calls the right tools, checks its own work and delivers an outcome — not just a reply. Four properties set it apart from a plain conversational assistant.

Goal
Goal-driven autonomy
You hand the agent a goal, not a list of instructions. It plans the steps, executes them and self-corrects until it reaches the expected result.
Tools
Action through MCP
Through the Model Context Protocol, the agent calls tools and connects to your systems — CRM, ERP, document stores, APIs — to act, not just answer.
Memory
Context and knowledge
The agent keeps the state of a long task, draws on your documents and business data, and holds the thread across multiple steps.
Control
Human supervision
Approval gates, traceability, trust zones: humans stay in control. That is the role of Koneetiv's LOOP™ methodology.
Anatomy

The 5 building blocks of a
production Claude agent.

A reliable enterprise Claude agent is more than a prompt. It is a stack of five layers — from model to oversight — that Koneetiv industrialises.

1The Claude modelBlock 01

The reasoning engine: Anthropic's Claude (Opus, Sonnet, Haiku). It understands the goal, plans and decides. Not a wrapper around a third-party model — native Claude.

2Tools & MCPBlock 02

The MCP protocol links the agent to your systems and data. This is what turns a conversation into real action on your stack.

3Context & knowledgeBlock 03

Documents, knowledge bases and enterprise data injected at the right moment to ground answers in your business reality.

4OrchestrationBlock 04

Step sequencing, coordination of several agents and error handling. The move from a duct-taped POC to an industrial agent.

5LOOP™ governanceBlock 05

Continuous oversight, traceability, trust zones and ISO 42001 / EU AI Act compliance. The layer that makes the agent production-ready — and auditable.

Block 01
The Claude model
The reasoning engine: Anthropic's Claude (Opus, Sonnet, Haiku). It understands the goal, plans and decides. Not a wrapper around a third-party model — native Claude.
Opus · Sonnet · Haiku · extended reasoning · vision
Block 02
Tools & MCP
The MCP protocol links the agent to your systems and data. This is what turns a conversation into real action on your stack.
MCP connectors · business APIs · CRM / ERP · search · code execution
Block 03
Context & knowledge
Documents, knowledge bases and enterprise data injected at the right moment to ground answers in your business reality.
RAG · document stores · task memory · real-time data
Block 04
Orchestration
Step sequencing, coordination of several agents and error handling. The move from a duct-taped POC to an industrial agent.
Workflows · multi-agent · error recovery · guardrails
Block 05
LOOP™ governance
Continuous oversight, traceability, trust zones and ISO 42001 / EU AI Act compliance. The layer that makes the agent production-ready — and auditable.
Observability · human approval · audit trail · AI Act compliance
Use cases

What a Claude agent
actually does in the enterprise.

Beyond the definition: the families of use cases where Claude agents create measurable value, from the back office to the core business.

Customer relations
Customer service agents
Qualify, route and resolve requests using your knowledge bases — with handover to a human on sensitive cases.
Back office
Process automation
Document processing, compliance checks, reconciliations: high-volume repetitive tasks handed to supervised agents.
Expert functions
Domain copilots
Contract review, financial analysis, HR support: the agent assists the expert on high-value tasks without replacing them.
Engineering
Claude Code at scale
Code generation, review and maintenance by agents — the developer block, detailed on our Claude Code for enterprise page.
Frequently asked questions

Everything about Claude agents.

What is a Claude agent?
A Claude agent is an AI system built on an Anthropic Claude model that can pursue a goal autonomously: it reasons, uses tools through the MCP protocol and acts on enterprise systems, under human supervision. Unlike a chatbot, it carries out tasks end to end rather than just answering.
What is the difference between a Claude agent and a chatbot?
A chatbot answers questions in a conversation. A Claude agent acts: it breaks a goal into steps, calls tools, manipulates data and delivers a concrete outcome. The chatbot is an interface; the agent is an autonomous executor supervised by humans.
Is Claude Code a Claude agent?
Yes. Claude Code is a Claude agent specialised in software development: it reads a codebase, plans changes, writes and tests code autonomously. It is one of the most mature agentic uses of Claude — detailed on our dedicated Claude Code for enterprise page.
How do you deploy Claude agents in the enterprise?
Deployment rests on five building blocks — Claude model, MCP tools, business context, orchestration and governance — then on scoping, a pilot and scaling. Koneetiv, a pure-play Anthropic partner, structures this with the Claude Ignite methodology and LOOP™ governance.
Are Claude agents safe and compliant for the enterprise?
Yes, with the right governance. Claude agents run with traceability, human approval and trust zones aligned with ISO 42001 and the EU AI Act. Koneetiv's LOOP™ methodology provides this continuous oversight in production.
Why choose a pure-play Anthropic partner for your Claude agents?
A pure-play Anthropic partner is a firm 100% specialised in Claude and its ecosystem (MCP, Claude Code, agents), with no multi-model dispersion. Koneetiv designs, deploys and governs Claude agents in production for large European enterprises, end to end.
Go further

From concept
to an agent in production.

You know what a Claude agent is. Here is where to go to deploy one.

Expertise
Claude expert France
Why a pure-play Anthropic partner for your agents.
Engineering
Claude Code for enterprise
The Claude agent built for code, securely.
Methodology
Claude Ignite
From scoping to deploying your agents.
Governance
LOOP™ governance
Supervising your Claude agents in production.

Ready to deploy
your first Claude agents?

We identify your best use case, scope the pilot and map the path to production — with governance from day one.

Talk to a Claude expert