Indigonix System Intelligence · Trainings & Workshops

AI Governance & Agentic System Design & Testing Workshop

From AI governance to agentic system design: reasoning, context, oversight, evidence and testing frameworks.

2 Days + Optional 1-Day Strategy Lab · "System executes. Human owns. Evidence proves."

Format	Training + applied lab + group presentations
Duration	2 days + optional 1-day Strategy Lab
Audience	Executives, AI teams, IT, risk, quality, compliance, product owners
Core Output	AI Governance Design + System Testing + Evidence Pack

Why This Workshop?

AI systems no longer only generate recommendations. They influence decisions, orchestrate workflows and, in agentic settings, may act with partial autonomy. This creates a new governance question: not only whether an AI system works, but whether it is aligned with the right intent, the right context, the right human oversight and the right evidence trail. This workshop transforms AI governance from a policy topic into a practical system design and testing discipline.

Core promise: Participants leave with a complete applied toolkit: decision canvas, governance design canvas, failure diagnosis table, testing framework, manual test cases, evidence pack, compliance mapping and a group presentation template.

Learning Outcomes

Analyze AI decision-making with the ASEW model: Art, Science, Ethics and Will.
Distinguish compliance governance from governance-by-design.
Diagnose agentic system failures such as goal drift, stakeholder blindness and accountability gaps.
Design governance structures for AI systems: ethics, policies, monitoring, enforcement, RACI and evidence.
Build manual and structured test cases for reasoning, context engineering, escalation and logs.
Create an AI Governance Test Report that leads to design recommendations, not only pass/fail results.
Map practices to EU AI Act, ISO/IEC 42001, NIST AI RMF and MIT AI Risk Repository concepts.
Present a complete group governance design and go/no-go decision for an AI use case.

Two-Day Agenda

Day 1 — AI Governance & Agentic System Design

Module	Output
From Prediction to Choice	Shared framing: prediction is not intelligence, optimization is not choice
ASEW Decision Mechanism	ASEW Decision Canvas
What Is Governance?	AI Governance Building Blocks Map
Logistics Case: When AI Succeeds at the Wrong Goal	Failure Pattern Diagnosis Table
Governance-by-Design	Agentic Governance Design Canvas

Day 2 — Testing, Evidence & Compliance Mapping

Module	Output
Human-Agent-System Coordination	Coordination Model Canvas
Intent Hierarchy & RACI	Intent Hierarchy Matrix + Agentic RACI Matrix
GREAT AI System Testing Framework	GREAT scoring sheet
Manual Tests & Evidence Pack	Manual AI Test Scenario Sheet + Governance Evidence Pack
Framework Mapping & Group Presentations	Framework Mapping Matrix + Go/No-Go decision

GREAT AI System Testing Framework

Component	What It Tests
G — Governance Fit	Ethics, policies, monitoring, enforcement and human oversight.
R — Reasoning Quality	Whether the system explains assumptions, alternatives, trade-offs and uncertainty.
E — Evidence & Logging	Whether decisions, context, data, policy checks and approvals are recorded.
A — Accountability	Whether accountable human ownership, RACI and escalation paths are clear.
T — Trust & Risk Testing	Bias, misuse, goal drift, stakeholder harm, robustness and incident handling.

Product Packages

Package	Duration	Best For
Executive Briefing	3 hours	Board, C-level, strategy, legal and risk leaders
Core Workshop	2 days	Mixed business, AI, risk, IT, compliance and product teams
Enterprise Strategy Lab	+1 day optional	Organizations ready to operationalize AI governance: roadmap, operating model, inventory starter, pilot selection and 90-day action plan

FAQ

Is this a compliance training?	It includes compliance mapping, but its primary focus is governance-by-design: how to design, test and evidence responsible AI systems.
Is it technical?	It is both strategic and practical. Business participants work on governance design; technical participants work on context, reasoning, test cases, logs and system readiness.
Can it be customized?	Yes. The optional Enterprise Strategy Lab adapts the templates to the organization's actual AI systems, risks, roadmap and operating model.
What is the main output?	A complete AI governance design and testing package for a selected AI use case, including evidence and go/no-go decision criteria.

Planning and Registration

Customized workshop planning; online, in-person or hybrid delivery; Turkish and English facilitation. A custom proposal within 2 business days: oya@indigonix.ai · +90 532 228 1567

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