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30-day AI Pilot for SMEs

Validate a real AI use case before making a large investment.

OzyCore helps German SME teams test one prioritized AI use case in 30 days, turn it into a usable prototype and leave with a practical integration plan.

Fixed 4-week structurePrivacy and security from day oneMeasured outcomes, not demo theatre

Why a pilot?

Lower risk, clearer decision.

The pilot is intentionally small enough to approve quickly and concrete enough to support a grounded go/no-go decision after 30 days.

Sharpen the business case

We prioritize one use case with measurable value, realistic assumptions and clear business ownership.

Prototype instead of slides

A bounded, testable prototype shows whether AI can create practical value in the selected process.

Know the integration path

You receive a technical roadmap covering data sources, interfaces, risks and next implementation steps.

What you have after 30 days

The pilot ends with concrete artefacts for management, IT and the business team — not a vague recommendation.

Discovery documentation

Use-case selection, success criteria, process boundaries, data situation, stakeholders and assumptions.

Functional AI prototype

A lean prototype for the prioritized workflow, including test cases and observed limitations.

Integration plan

Recommended architecture, system connections, data flow, operating model and effort drivers.

Privacy/security review

Pragmatic assessment of privacy, access, model/provider risks and governance questions.

Measured handoff

Outcome report with measurements, decision brief, backlog and next milestones.

30 days

The 4-week flow

Compact, transparent and planned so internal teams can participate with limited additional effort.

Week 1

Discovery and use-case focus

Kickoff, stakeholder interviews, process mapping, data check and selection of the best pilot scope.

Week 2

Prototype design

Prompt/workflow concept, data samples, success criteria, risk assumptions and initial technical setup.

Week 3

Build, test and review

Prototyping, test runs with sample or approved data, privacy/security review and iteration.

Week 4

Measurement and handoff

Evaluation, integration plan, management readout, go/no-go recommendation and handoff backlog.

Clear boundaries prevent surprises

Included

  • One prioritized AI use case with a limited process scope
  • Discovery workshops and short business/IT alignment sessions
  • Clickable or executable prototype for validation
  • Assessment of privacy, security and operating risks
  • Integration and decision materials for the next step

Not included

  • Full production rollout or 24/7 operations
  • Large-scale data migrations or ERP/CRM rebuilds
  • Legal advice or privacy approval by a data protection officer
  • Guaranteed model accuracy without suitable data and expert testing
  • Unlimited use cases, features or stakeholder rounds

Who the AI Pilot fits

Good fit

  • You have manual knowledge, document or process work with noticeable effort.
  • A business owner can provide test cases and assess results within 30 days.
  • IT, privacy or management want to understand risks early.
  • You need a reliable basis before budgeting a larger implementation.

Probably not a fit

  • You want an enterprise-wide AI platform immediately without validation.
  • There are no available process owners or test data.
  • The target use case is legal, medical or safety-critical without an approval path.
  • You expect black-box automation without measurement and governance.

Measured handoff instead of an open end

At the end you understand value, limits and next steps. That makes the pilot decision-ready for management, IT and the business team.

Before/after assessment against agreed success criteria
Risk and dependency list for production rollout
Prioritized implementation backlog with effort drivers
Recommendation: stop, iterate or move into integration

Ready for a controlled AI Pilot?

Start with one concrete use case, a clear timeframe and an outcome your internal team can present.