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AI Agent Studio

Reliable AI agents for real workflows.

Tavon is an AI agent studio. We discover, design, build, and operate agentic workflows for teams ready to move from AI experiments to production systems.

Talk to us Case Studies
The shift

Not Your Average Agent

Most "AI agents" are glorified chatbots. The next generation, based on coding agent breakthroughs, actually gets work done.

Old Generation

Answer questions
Need perfect prompts
Work in one tool at a time
Require constant supervision
Guess at context
Break on edge cases

New Generation (Agentic AI)

Execute multi-step workflows
Figure out what needs doing
Orchestrate across systems
Work autonomously with checkpoints
Understand your full environment
Handle complexity intelligently

The Breakthrough

In 2024, coding agents like Claude Code and Cursor revolutionized software development by learning to navigate complex environments, break down tasks, and execute autonomously. That same architectural breakthrough now powers business agents like Claude & Microsoft Cowork or OpenClaw, bringing true agentic capabilities to your operations.

80%

improvement on individual coding tasks

(Anthropic research)
2.5 hrs

saved per week on routine work

(HUB International)
78%

report productivity gains across development tasks

(Stack Overflow Developer Survey)
Under the hood

The Agent Harness
Calling models in a loop

An agent is not a single model call. It calls models in a loop, and its behavior emerges as that loop works toward a goal.

The agent harness

The harness is the machinery around the model. It receives instructions, assembles context, calls LLMs, runs tools, validates results, and decides whether to continue. It also enforces the sandboxes, network and data boundaries, and observability required for reliable operation.

A growing ecosystem of SDKs, including Pi, Codex, the Claude SDK, AWS Strands, and PydanticAI, makes it possible to build custom agent harnesses.

We are vendor-agnostic and help organizations choose the right SDK and architecture for their strategy, requirements, and operating environment.

The Agent LoopRunning
AGENT.RUNTIMELOOP / 01
Our Services

Hands-On AI Agent Studio

We help organizations move from curiosity to implementation, turning promising ideas into practical systems that deliver measurable results.

01

Strategy

Workflow assessment

Implementation-informed strategy for where agents fit, which workflows matter, and how to deploy them responsibly.

Includes:
  • Workflow assessment
  • Use case selection
  • Architecture direction
  • Deployment roadmap
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02

Implementation

Agent system design

We build and ship agent systems, integrations, and workflow automation with your team or for your team.

Includes:
  • Agent system design
  • Tool + system integration
  • Workflow orchestration
  • Deployment and iteration
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03

Training

Leadership workshops

Hands-on enablement for teams adopting agent systems in practice, not just theory.

Includes:
  • Leadership workshops
  • Technical enablement
  • Team operating patterns
  • Applied best practices
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Case studies

Real Implementations,
Measurable Results

See how businesses are transforming operations with next-generation AI agents.

01Sales & Marketing

CRM Automation

The Challenge

Sales teams spend hours manually updating CRM records, scheduling follow-ups, and syncing data between email, calendar, and customer management systems.

The Solution

An AI agent that monitors email communications, automatically updates CRM records, schedules meetings, and ensures all customer interactions are logged and accessible across your team.

🔧 Behind the Scenes

The agent reads email context, extracts relevant customer data, queries your CRM via API, applies business rules for categorization and follow-up timing, and orchestrates updates across multiple systems, all autonomously.

Results & Impact

60%

reduction in manual CRM data entry

90%

improvement in data accuracy

Zero missed follow-ups through intelligent scheduling

Seamless integration across email, calendar, and CRM

Team: Sales team of 8 people, non-technical users

02Manufacturing / B2B Sales

Quote Automation

The Challenge

Creating quotes from unstructured customer requests (emails, PDFs, scans) requires manually looking up product data across multiple systems, checking inventory, and calculating prices. This takes hours per quote.

The Solution

AI-powered quote processing that reads customer requests in any format, extracts requirements, looks up pricing and availability in your ERP system, and generates accurate quotes. Human review ensures quality before sending.

🔧 Behind the Scenes

This isn't RPA clicking buttons. The agent understands unstructured input, navigates your ERP intelligently, applies pricing logic, handles edge cases, and generates formatted output, adapting to variations without reprogramming.

Results & Impact

50%

time savings per quote

€75

cost reduction per quote

~50%

margin improvement at quote level

Eliminated manual lookups across multiple systems

Team: 3 people (back office + sales management), non-technical

03Food Wholesale / Supply Chain

Order Processing & Quality Control

The Challenge

Producers send delivery notes and labels via WhatsApp. Quality assurance teams must manually verify each document against customer requirements. This is a tedious, error-prone process that creates bottlenecks.

The Solution

WhatsApp-based AI agent that receives producer documents, automatically validates labels and delivery notes against customer specifications, and only escalates when real deviations are found. Backoffice dashboard provides oversight and control.

🔧 Behind the Scenes

The agent processes images and PDFs from WhatsApp, extracts structured data from unstructured documents, compares against customer specs using complex business rules, and makes judgment calls about what requires human review.

Results & Impact

QA team freed from repetitive verification work

Instant validation of producer compliance

Only genuine issues reach human reviewers

Works seamlessly with producers via WhatsApp

Team: ~23 people total: 20 producers (WhatsApp-only), 2 QA staff, 1 management. All non-technical

04Skilled Trades / Electrical

AI Planning Assistant

The Challenge

Master electricians spend 2-3 hours creating quotes, requiring deep knowledge of product catalogs, technical standards, and planning requirements. Junior staff and apprentices lack this expertise.

The Solution

AI assistant trained on product catalogs and technical standards that helps create accurate quotes in minutes. Provides guided planning support that transfers expert knowledge to apprentices while accelerating work for experienced staff.

🔧 Behind the Scenes

The agent maintains context across lengthy technical specifications, applies domain knowledge from electrical standards, makes intelligent product recommendations, and generates compliant quotes, functioning as an expert system that augments human judgment.

Results & Impact

Quote time reduced from 2-3 hours to minutes

Structured knowledge transfer to apprentices

Consistent quality across all quotes

Master electricians focus on complex problem-solving

Team: 5 people (master electrician + apprentices)

About Tavon

Built by practitioners.

Tavon is led by Matthias and Ivan. We combine technical depth, enterprise experience, and a practical approach to deploying agent systems where they create operational value.

  • 01Technical depth
  • 02Enterprise experience
  • 03What works in production
Meet the team
Matthias Lübken

Matthias Lübken

Co-Founder

Ivan Pedrazas

Ivan Pedrazas

Co-Founder

Thinking

We Speak Agentic AI

From agent harnesses to enterprise workflows, we track the patterns, platforms, and implementation questions that matter.

  • Agent harnesses
  • MCP and tool integration
  • Enterprise workflow automation
  • Implementation patterns
Coding agents beyond codingWhy coding-agent breakthroughs matter for enterprise workflow automation.Microsoft Copilot Cowork and enterprise agentsA practical view on what enterprise agent systems are becoming.AI-native companies and implementation realitiesOperational lessons for organizations moving from experimentation to execution.
Next step

Move from AI interest to working automation.

If you have a workflow in mind — or need help finding the right one — we can help you scope, build, and deploy an agent system grounded in operational reality.

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Tavon.ai — Agent Studio