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KKODETRA

Service

AI Agents & Workflows

Kodetra builds agentic AI — autonomous agents and multi-step workflows that reason, call tools via MCP and APIs, and execute real tasks end-to-end, with humans in the loop where it matters.

What you get

Agents that take action, not just chat
Tool-calling wired to your apps via MCP & APIs
Deterministic orchestration you can trust

What we can do for you

Concrete things we'll handle for your ai agents & workflows project — in plain English, no jargon.

Build AI agents that take action — not just chat
Agents that plan multi-step tasks and use your tools to finish them
Connect AI to your apps via custom tools, APIs, and MCP servers
Automate complex workflows that need judgment, not just fixed rules
Keep a human in the loop to approve the important steps
Reliable, predictable orchestration you can trust
Custom MCP servers so AI assistants can safely use your systems
Monitoring and guardrails so agents stay on track

Who it's for

Businesses with multi-step processes too nuanced for simple automation
Teams wanting AI to actually do tasks across several tools
Products that need an agent operating inside them
Anyone exploring agentic AI but wanting it done reliably

Deliverables

AI agent & tool-calling design
Custom MCP servers for your apps
Orchestration + state management
Human-in-the-loop checkpoints

How it works

  1. 1
    Pick the right task
    We find a workflow where an agent adds real value — and design where humans approve.
  2. 2
    Design tools & guardrails
    We define the actions the agent can take and the limits that keep it safe.
  3. 3
    Build & orchestrate
    We wire the agent to your systems (APIs, MCP) with deterministic orchestration.
  4. 4
    Launch with oversight
    It runs with monitoring and human checkpoints; we refine as it proves out.

FAQ

What's the difference between a chatbot and an AI agent?

A chatbot answers questions. An agent takes action — it can plan a multi-step task and use tools (your apps and APIs) to actually complete it, with humans approving where it matters.

What is MCP?

Model Context Protocol — an open standard that lets AI assistants securely use your apps and data as tools. We build custom MCP servers so agents can work with your systems.

Is it safe to let an agent take actions?

We design clear limits on what an agent can do, add human-in-the-loop checkpoints for important steps, and monitor it — so it's controlled, not a free-for-all.

Is this overkill for my business?

Sometimes. If simple automation solves it, we'll tell you and build that instead — agents are for genuinely multi-step work that needs judgment.

Can agents work with my existing tools?

Yes. We connect them to your apps through APIs and custom MCP servers, so they operate inside the systems you already use.

Timeline

A focused agent or workflow is typically prototyped in a couple of weeks, then hardened.

Pricing

Fixed quote after a scoping call. Usage and model costs are transparent; optional plans cover monitoring and changes.

Tell us what you need — we'll reply with a plan, timeline, and fixed price.

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