LLM Turkey
Corporate · ACD/02

EvalOpsfor Business

From using AI to measuring it.

We help organizations build teams that don't just use AI but can measure output quality, see risks, and use it more safely. A single-day intensive awareness + practice program for mixed audiences: executives, business teams, and technical staff together.

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1 day
Single session
6 hours
Total length
6 + 2
Modules + workshops
Judex
Working platform
Purpose

Help organizations build teams that don't just use AI but can measure output quality, see risks, and use it more safely.

Morning

Understand and Measure

3 hours
  1. M01

    Understanding AI Correctly

    Module · 45 minLecture + Demo
    • How do large language models work?
    • Why does AI make mistakes?
    • What is hallucination?
    • Why can AI be persuasive yet wrong?
    • Enterprise use cases
    OutcomeParticipants begin to understand model behavior.
  2. M02

    Enterprise AI Risks

    Module · 45 minLecture + Case Analysis
    • Misinformation risk
    • Legal risks
    • GDPR / data privacy
    • Bias and ethical issues
    • AI risk in customer communication
    • Brand reputation impact
    CaseReal enterprise scenarios
    OutcomeParticipants gain AI risk awareness.
  3. M03

    9-Parameter AI Quality Measurement

    Module · 60 minLecture + Demo
    • Helpfulness & Task Completion
    • Instruction & Format Following
    • Truthfulness & Factual Accuracy
    • Groundedness & Context Fidelity
    • Safety, Compliance & Risk Awareness
    • Bias, Fairness & Inclusivity
    • Reasoning & Problem Solving Quality
    • Clarity, Tone & Communication
    • Robustness, Consistency & Recoverability
    OutcomeParticipants learn to read AI output systematically.
  4. W01

    Model Comparison

    Workshop · 30 minInteractive Workshop
    • Same prompt, two different models
    • Comparison via Judex
    • Participants comment and score
    OutcomeParticipants see model differences first-hand.
Afternoon

Institutionalize

3 hours
  1. M04

    Enterprise AI Evaluation

    Module · 60 minLecture + Discussion
    • How do organizations measure AI quality?
    • Internal quality standards
    • AI benchmarking
    • Human evaluation
    • Approval workflow
    OutcomeInternal control logic clicks into place.
  2. M05

    Sector Scenario Tests

    Module · 60 minWorkshop + Demo
    • Customer support bot
    • Sales content
    • Technical documentation
    • Data analysis
    • Reporting
    CaseEvaluation on Judex
    OutcomeConnects to the real workflow.
  3. M06

    EvalOps Culture

    Module · 45 minLecture + Discussion
    • AI governance
    • Safe-use policies
    • Prompt standardization
    • Evaluation processes
    • In-team responsibilities
    OutcomeEnterprise AI maturity grows.
  4. W02

    Corporate Action Plan

    Workshop · 30 minGroup Work
    • “How does our organization use AI more safely?”
    • Participants draft an action plan
    • Presentation and feedback
    OutcomeThe company defines its first EvalOps actions, tailored to itself.
Participant outcomes
  • ✓Can interpret AI output quality
  • ✓Can distinguish risky responses
  • ✓Can compare models
  • ✓Can build a safe-use framework
  • ✓Can develop an EvalOps perspective inside the company
  • ✓Has a voice in vendor and model selection
Company gains
  • ▲Reduced AI usage risk
  • ▲Higher output quality
  • ▲Stronger human oversight
  • ▲A safer AI culture
  • ▲Faster enterprise AI transformation
  • ▲AI investment ROI becomes measurable
Best-fit sectors
BankingInsuranceManufacturingEducationSaaSCall centers
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