Co-Build: Your Process, Your Agent

4-6 weeks. Source code access. No SaaS.

We build AI agents for your specific process - not as a standard product, but as a co-build with your team. You receive the source code, prompts and rule sets. After the transfer, you operate the agent independently.

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A selection from over 5,000 projects in 25 years of software development

Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

At a Glance

4-6 Weeks

From discovery to a production agent in your infrastructure

Full Source Code

Code, prompts, rule sets, documentation - everything belongs to you

No SaaS

No monthly fees. No vendor lock-in. Independent operation possible.

Decision Layer

Every agent with audit trail, Human-in-the-Loop and rule set versioning

Model-Agnostic

Claude, ChatGPT, Gemini, Llama - swappable without code changes

Exit Strategy

Training, documentation, handover. Fully independent after 12-18 months.

Three Phases to a Production Agent

Every Co-Build follows a structured process. The result is a production agent in your infrastructure - with source code, documentation and exit strategy.

Phase 1 - Week 1

Discover

  • Process analysis with your domain team
  • Identify and formalize rule sets
  • Map decision points
  • Decision Layer design
  • Clarify system landscape and integrations

Result: Process blueprint with decision matrix

Phase 2 - Weeks 2-5

Build

  • Agent development with your team
  • Implement Decision Layer
  • Rule sets as versioned configuration
  • System integration (SAP, DATEV, etc.)
  • Testing with real data

Result: Production agent in your infrastructure

Phase 3 - Weeks 5-6

Transfer

  • Source code handover
  • Team training for independent operation
  • Documentation of code, prompts, rule sets
  • Set up monitoring and alerting
  • Document exit strategy

Result: Your team operates the agent independently

For Which Areas

Co-Build is suitable for any process that is based on rule sets and is currently handled manually by people. Typical areas:

Compliance & Legal

Regulatory reviews, contract review, clause extraction, deadline monitoring.

Operations & Supply Chain

Order processing, supplier management, quality inspection, complaint processing.

Shared Services

Ticket routing, request classification, internal knowledge provision, service desk automation.

Industry-Specific

Export controls, customs clearance, insurance claims, credit assessment - any rule-based process.

What You Get

  • Source Code: Complete agent code in your repository
  • Prompts: All prompt chains and system prompts, documented and versioned
  • Rule Sets: Domain rules as versioned configuration, not hardcoded
  • Decision Layer: Audit trail, Human-in-the-Loop, works council or employee oversight constraints
  • Documentation: Architecture, decision logic, test cases, deployment guide
  • Exit Strategy: Training, handover protocol, support period

Co-Build vs. SaaS vs. Inhouse

Co-Build SaaS Platform Inhouse
Time-to-Value 4-6 weeks 2-4 weeks 6-12 months
Source Code Access Full No access Full
Vendor Lock-in None High None
Governance / Audit Decision Layer included Platform-dependent Must be built
Ongoing Costs Infrastructure + optional maintenance Monthly license Personnel costs
Customizability Unlimited Within the platform Unlimited

In Practice: Compliance Review in a Shared Service Center

A shared service center reviews 120 supplier contracts per month for compliance - manually, with checklists in Excel.

Before - manual

  • 45 min per contract (reading, checklist, documentation)
  • ~90 hours/month for the team
  • 12% error rate in clause detection
  • No versioning of review logic

After - Co-Build Agent

  • 82% autonomous review (standard contracts)
  • ~19 hours/month (exceptions + spot checks only)
  • <2% error rate via rule-based review
  • Decision Layer with full audit trail

Result: 71 hours saved per month. Agent productive in 5 weeks. Source code, rule sets and prompts owned by the client. Independent operation after 14 months without external support.

Deep Dive in the Agent Briefing

Our article series for decision-makers implementing AI agents in the enterprise.

Costs

What AI Really Costs: TCO Comparison for Enterprises

Architecture

Model-Agnostic Architecture - Why Vendor Lock-In With LLMs Is Dangerous

Governance

Decision Layer - What It Is and Why Every Enterprise AI Agent Needs One

Other Agent Types

The Specialist

Document Agents

Read, understand and classify documents - with true language comprehension.

The Coordinator

Workflow Agents

Orchestrate processes across systems - SAP, DATEV, SharePoint.

The Knowledge Keeper

Knowledge Agents

Answer questions from rule sets - with source references and rule versioning.

Frequently Asked Questions about Co-Build

What exactly do I get with Co-Build?

The agent's source code, all prompts and prompt chains, configured rule sets, Decision Layer with audit trail, documentation, test cases and an exit strategy for independent operation.

Do I need my own AI team?

Not to start. During the co-build, our engineers work with your domain team. In the transfer phase, we train your team for independent operation. Internally, you need at least one technical contact and one domain process owner.

How does Co-Build differ from a SaaS solution?

With SaaS, you rent a platform and depend on the vendor. With Co-Build, you receive the source code, prompts and all rule sets. You can develop the agent further yourself, run it on your own infrastructure and switch vendors at any time.

What happens after the 4-6 weeks?

The agent runs productively in your infrastructure. We offer optional maintenance and further development afterwards - but no obligation. Most clients take over full independent operation after 12-18 months.

Which process should your first agent handle?

30 minutes. Your use case. Concrete recommendation.