AI & DIGITAL SOLUTIONS

Use AI in a controlled, practical and economically meaningful way.

SP Services connects process analysis, data rules, model selection, local AI, RAG, agents, guardrails and human review.

An AI tool is not yet a business process.

Reliable use requires a defined task, suitable data, a controlled runtime, clear permissions, review points and measurable results.

AI Literacy

Role-based understanding, safe-use rules, data classes, human review and evidence.

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Use-Case and Process Analysis

Select tasks with a realistic benefit, clear inputs and reviewable outputs.

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Local AI and RAG

Use local models and controlled knowledge sources where data sovereignty is relevant.

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Agents and Tool Use

Connect models to approved tools with permissions, guardrails and interruption options.

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Governance and Human Review

Define responsibilities, tool approvals, review obligations, logging and escalation.

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Technical Implementation

Build and test a practical workflow with real cases and a documented operating model.

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Typical project sequence

From use case to controlled operation.

  • define task, expected value, risks and success criteria
  • classify data and select an appropriate operating model
  • design knowledge sources, model, tools and interfaces
  • define guardrails, human review and evidence
  • implement a pilot and test it with real business cases
  • document approval, operation and further development

AI project

Start with one concrete task, not a general tool list.

Share the process, users, data and desired outcome. We will identify a suitable first work package.

Discuss an AI use case