The AI agency for autonomous business processes

Your processes.
Autonomous. Intelligent.
Measurable.

AgentKraft builds AI agents that work for your business around the clock – operating your apps, researching the web and automating complex workflows. No breaks. No mistakes. With results that pay off.

73%
of companies report noticeable time savings with AI agents
10x
cheaper web research with agent-oriented APIs
24/7
autonomously run processes without human intervention

The shift to the autonomous organization

AI agents are no longer a thing of the future – they are production-ready today. Three technological foundations make the decisive difference, and AgentKraft brings them into your business.

🤖

Apps controlled by AI

Through interfaces like AppFunctions, AI agents operate your existing apps directly – without manual interaction. Your software becomes the executing tool of the AI.

📁

Scalable agent infrastructure

Modern frameworks run agents reliably in isolated sandboxes – with durable execution, approval flows and built-in evaluations. We build on top of them, production-ready.

🌐

Autonomous web research

Agent-optimized search APIs deliver top-tier research at a fraction of previous costs. Your AI agent becomes the fastest researcher on the team.

What we build on

We rely on the most advanced agent technologies in the industry – so your solution won't be outdated tomorrow, but grows with the market.

App Control

AI agents operate your apps

Through AppFunctions, apps expose their functions directly to AI agents. The agent understands natural language and acts autonomously: finding data, creating appointments, placing orders – without manual interaction. The operating system becomes an intelligence system.

What this means for you Your internal apps and ERP systems are operated by AI agents – your team only sets the goal.
Agent Infrastructure

Scalable, fault-tolerant agents

Modern open-source frameworks build, run and scale AI agents as modular building blocks. Built in: durable execution, sandbox computing, approval flows and automated evaluations – the foundation for production-grade agents.

What this means for you Any existing codebase can become an autonomous agent – without a full rebuild.
Autonomous Research

AI agents research the web

Agent-oriented search APIs deliver top-tier web research at a fraction of the cost of classic models. Your agents scan thousands of sources, extract what's relevant and return structured results – in seconds instead of hours.

What this means for you Market analysis, competitive intelligence and information research run fully automated and cost-efficiently.

What AgentKraft does for you

We implement, test and scale AI agents for your business – from strategy to production operation.

🔍

AI Agent Audit

We analyze your existing processes and identify the top 3 use cases that can benefit from AI agents immediately. Including an ROI forecast.

⚙️

Agent Development

Tailor-made AI agents integrated into your existing software landscape – using AppFunctions, modern agent frameworks or your own stack.

🧠

Autonomous Research Agents

We build market-analysis and competitive-intelligence agents that scan the web daily for relevant information and deliver structured reports.

📊

Agent Monitoring & Optimization

Ongoing care for your AI agents: performance monitoring, troubleshooting, and optimization of prompts and workflows for maximum efficiency.

🎓

AI Agent Training & Workshops

We empower your team to understand and use AI agents themselves. Hands-on workshops for CTOs, executives and developers.

🚀

Go-Live & Scale

From development to production: we support your rollout and scale your agent infrastructure as you grow.

How a mid-sized company freed up 4 FTEs with AI agents

Case Study

Automated competitive-intelligence agent at a B2B software company

A Karlsruhe-based software company (150 employees) spent 12 hours a day on manual market monitoring, competitive analysis and prioritizing customer inquiries – across 4 full-time roles.

AgentKraft implemented a three-stage agent stack: a research agent scanned 300+ sources daily. An app-control agent integrated the insights directly into the CRM. A reporting agent automatically produced weekly executive summaries.

Result: Live within 6 weeks – fully integrated with the existing software.

-87%
Manual research time
From 12h to 1.5h per day
4 FTE
Capacity freed up
For strategic work
6 wks
Time-to-Live
Full integration
312%
ROI in 12 months
Incl. implementation cost

What would this mean for your business?

Calculate your individual savings potential with AI agents – in under 60 seconds.

Your personal AI agent ROI

Enter your key figures to get a realistic estimate.

Annual savings
ROI in 12 months
Payback period

Non-binding model calculation. We'll discuss your actual results in the intro call.

AI agents from A to Z

The most important terms around AI agents – explained clearly for decision-makers.

AI Agent
An autonomous AI system that pursues goals, makes decisions and takes actions – without constant human input. Unlike chatbots, agents act independently.
AppFunctions
Technology that lets apps expose their functions directly to AI agents. This allows an agent to operate an app without "seeing" the screen.
Autonomous Execution
An AI agent's ability to complete multi-step tasks on its own – even when the user is not actively involved. A core property of modern agent frameworks.
Agentic AI
AI systems that don't just answer questions but actively get things done: searching the web, writing code, sending emails, calling APIs – fully autonomously.
RAG (Retrieval Augmented Generation)
A technique where AI agents first retrieve relevant information and then use it for more precise answers. Combines web research with language models.
Durable Execution
An agent's ability to run long-running tasks reliably – even through connection drops or restarts. A core feature of modern agent frameworks.
Multi-Agent System
Several specialized AI agents work together to achieve complex goals. Each agent has a clear role (research, analysis, communication, execution).
Sandbox Computing
AI agents run in isolated environments to minimize security risks. Prevents an error in the agent from affecting the entire system.
Context Window
The maximum amount of information an AI model can process at once. Modern models offer up to 1 million tokens of context – enough to grasp entire codebases or document archives at once.
Technologies we work with

Ready for your first AI agent?

Book your free 30-minute strategy call now. We'll analyze your processes and show you which AI agents deliver the biggest impact.

No spam. No sales pressure. Just an honest conversation about your options.

✓ Thank you! Your request has reached us. We'll get back to you within 24 hours.