30-day pilot program

AI pilot in
30 days

From AI idea to working use case: we identify a concrete process together, build a functioning AI pilot, and measure the value it creates in your business.

Within 30 days you don't get another AI workshop — you get a deployable pilot process with a traceable business case.

The starting point

AI doesn't need to look impressive. It needs to deliver results.

Many AI projects start with a technology or a new tool. The more important question is: which process is costing your business unnecessary time, money, or quality today? That's exactly where we start. Together we pick a clearly scoped process, define measurable goals, and build an AI solution that gets tested against your existing workflows, documents, and systems. Possible goals include:

  • less manual processing time
  • faster information retrieval
  • lower error rates
  • automated document processing
  • faster quote generation
  • better use of internal knowledge
  • shorter response and turnaround times

Outcome

What you get after 30 days

A working AI pilot

The selected use case isn't just described — it's technically built and tested with realistic examples.

A measurable before/after comparison

We document how much time, effort, or error potential the existing process causes, and what improvement the pilot achieves.

A traceable business case

You get a solid basis for deciding whether and how the solution should be scaled further.

A concrete scaling roadmap

We show which next steps are needed for rollout, integration, governance, and expansion.

Timeline

How the 30-day pilot runs

Week 1

Analyze processes and assess potential

In a joint workshop we look at processes, recurring tasks, existing data, and current bottlenecks. We identify possible AI use cases and score them on:

  • economic value
  • technical feasibility
  • data availability
  • integration effort
  • privacy and risk
  • feasibility within 30 days
Outcome: A clearly defined pilot process with a measurable goal.
Week 2

Design and prepare the solution

We develop the technical and functional concept for the selected use case. Depending on the task, this includes for example:

  • process and data model
  • prompts and AI instructions
  • document and knowledge base
  • automation flows
  • roles and access rights
  • interfaces to existing systems
  • quality and review criteria
Outcome: An actionable solution concept with clear test cases.
Week 3

Build the AI pilot

We technically build the pilot and test it with selected documents, tasks, or process data. Possible components include:

  • AI assistants
  • internal knowledge search
  • document analysis
  • automatic classification
  • data extraction
  • report generation
  • email and process automation
  • RAG or GraphRAG systems
  • connection to existing business software
Outcome: A working prototype for the selected business process.
Week 4

Real-world testing and results measurement

The pilot is tested together with selected users. We check:

  • quality of results
  • time savings
  • reliability
  • failure cases
  • usability
  • privacy and permissions
  • potential for a production rollout
Outcome: A tested AI pilot with a business case and scaling plan.

In practice

Typical use cases

Find company knowledge faster

Employees ask questions in natural language and get matching information from contracts, quotes, project documents, policies, or internal notes.

What contract terms were agreed with similar customers?

Where do we find the documentation for this project?

What quotes were created last year for comparable work?

Analyze documents automatically

The AI reads documents, identifies relevant content, and transfers information into your processes in structured form.

Suited for:

invoicescontractstendersjob applicationstechnical documentationdelivery notesmaintenance reportsquality records

Automate reports and analyses

Recurring reports get prepared automatically from existing data and documents.

Examples:

project status reportsmanagement summariessales reportsquality analysesmeeting minutesrisk overviewsweekly and monthly reports

Speed up customer and sales processes

AI helps process inquiries, qualify prospects, and draft matching replies or quotes.

Examples:

automatic inquiry classificationcustomer history summariesquote preparationpersonalized sales outreachlead qualificationcustomer service support

Automate internal workflows

Recurring tasks get connected to AI and automation platforms.

Examples:

processing emailsmoving information between systemsdetecting tasks from documentspreparing approvalscoordinating appointmentschecking and completing dataautomatically notifying employees

Is this a fit?

Which companies is the AI pilot for?

This offer is for companies that:

  • have already tried some AI tools
  • want to implement a concrete use case
  • process a lot of documents or information
  • want to reduce recurring manual tasks
  • want to test an AI business case before a bigger investment
  • don't want to start a multi-month transformation project right away
  • need an independent assessment of their AI options

The pilot is especially well suited for mid-sized companies, functional departments, and teams from:

SalesProcurementHRProject managementProductionQuality managementTechnical serviceAdministrationCustomer serviceKnowledge management

What this isn't

What the AI pilot is not

Not a generic AI talk

We don't just explain what artificial intelligence could theoretically do.

Not an isolated chatbot

The pilot is built around a concrete business process and your actual requirements.

Not a months-long megaproject

The use case is deliberately scoped so a measurable result exists within 30 days.

Not technology without benefit

Tool selection follows the use case. Not the other way around.

Technology

Technology-agnostic, matched to your infrastructure

Depending on your use case, different technologies can be used. These include for example:

commercial or local AI modelsMicrosoft and OpenAI solutionsClaudeopen-source modelsvector and graph databasesRAG and GraphRAGworkflow automationAPIs and existing business systemsprivate cloud or on-premises solutions

What matters isn't the name of the AI model — it's whether the solution can run reliably, securely, and economically in your business.

Summary

Your results at a glance

After the pilot, you get:

  • a documented starting process
  • a selected and prioritized AI use case
  • defined target metrics
  • a working AI prototype
  • a test with realistic business data
  • an assessment of quality and time savings
  • technical documentation
  • a risk and privacy assessment
  • a business case
  • a roadmap for integration and rollout

Why a pilot?

Why start with a pilot project?

A big AI strategy doesn't yet answer whether a specific process actually works. A 30-day pilot reduces the risk and creates a solid basis for decisions. You find out early:

  • whether the available data is sufficient
  • what result quality is achievable
  • what technical hurdles exist
  • how employees work with the solution
  • what savings are realistic
  • what investment the rollout requires

That way you only invest bigger once the benefit has been proven in practice.

Next step

A measurable AI use case in 30 days

Do you have a process where employees regularly search for information, edit documents, create reports, or move data between systems? Then let's check together whether a suitable AI pilot can be built from it.

In the free intro call, we'll clarify:

  • which process should be looked at
  • what problem currently exists
  • what data is available
  • what result is realistic within 30 days
  • whether the use case is suited for a pilot
Book a free intro call

From AI idea to working business process.

Frequently asked questions

Does our company need to already use AI?

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No. The pilot works both for companies with no prior AI experience and for companies that have already tried various tools or early prototypes.

Do we need to provide sensitive data?

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No sensitive data is needed for the initial analysis. During implementation, we jointly define what data may be used and what technical environment is suitable for it.

Is the pilot production-ready after 30 days?

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The pilot is meant to prove technical feasibility and economic value. Depending on complexity, security requirements, and system integration, further steps may be needed for full production use.

Which AI technology is used?

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The technology is chosen to fit the use case, your privacy requirements, and your existing IT infrastructure.

Can existing systems be connected?

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In principle, yes. As part of the analysis we check which interfaces are available and whether an integration already makes sense within the pilot.

What happens after the pilot project?

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You decide, based on the results, whether the solution is discontinued, adjusted, or rolled out into production. For a rollout you get a concrete technical and organizational roadmap.

Get started

Start with a process, not a platform

The best way into artificial intelligence isn't a sprawling transformation program. It's a concrete problem, a measurable goal, and a solution that works in everyday operations.

Request an AI pilot