AI Decision Architect Certification

Andra Vaduva

AI Decision Architect | 70K+ | MIT

Make better AI bets. Protect your budget, credibility, and career.

Most organizations don’t need more AI ideas. They need a better way to decide which ones deserve budget, engineering time, and executive attention.

In this 6-week live cohort, you’ll learn how to evaluate a real workflow from your organization, establish the baseline, model ROI, assess data and technical readiness, define what AI should handle versus what stays deterministic or human, and pressure-test the risks before money gets committed.

This isn’t theory. The framework is built from real AI systems, workflows, and investment decisions across mid-market and enterprise companies. See the case studies

You’ll leave with a complete AI Initiative Decision Brief: scored, prioritized, and ready to defend in front of leadership, finance, IT, or the board.

The goal is not to make you better at pitching AI. It’s to make you better at making AI decisions that protect your budget, your credibility, and the business.

Complete the program and you’ll be certified as an AI Decision Architect.

What you’ll learn

Learn a repeatable system to evaluate, prioritize, and defend AI investments using real workflows, ROI, risk, and implementation constraints

Define the exact workflow, owner, baseline, and business outcome before discussing technology.
Use real cases to separate operating problems from AI hype and identify measurable value.
Map where AI can create value—and where the workflow should stay unchanged.

Calculate current workflow cost, value at stake, and realistic AI absorption.
Model ROI, payback, implementation cost, and ongoing operating cost.
Build a business case that can survive scrutiny from Finance, IT, and leadership.

Score initiatives across value, feasibility, risk, readiness, and implementation burden.
Use Fund / Pilot / Kill to compare competing AI opportunities and allocate resources.
Design pilots around one specific uncertainty, metric, and decision date.

Separate work across AI, deterministic software, and humans instead of defaulting to full automation.
Define approval, escalation, exception handling, and the right level of autonomy.
Use consequence-of-error analysis to decide where humans must retain control.

Assess data availability, quality, systems, integrations, and workflow ownership.
Identify technical blockers before engineering time or budget gets committed.
Decide whether to build, buy, configure, integrate, or fix infrastructure first.

Build a complete AI Initiative Decision Brief around a real workflow from your organization.
Present the economics, risks, architecture, pilot design, and recommendation clearly.
Leave ready to ask for budget, challenge a vendor, reject a weak idea, or move a strong one forward.

Learn directly from Andra

Andra Vaduva

Contact

Taught 70K+ learners. Microsoft + LinkedIn AI for Managers. Brown AI. MIT grad.

Selected AI Systems, Workflows & Outcomes

See all products from SafeSpace

Who this course is for

Senior managers, directors, and VPs responsible for improving workflows, outcomes, teams, or transformation initiatives.
Operations, strategy, and transformation leaders seeking a practical framework to evaluate and prioritize AI opportunities.
Functional leaders tasked with driving AI adoption and building credible business cases for investment decisions.

What's included

Live sessions

Learn directly from Andra Vaduva in a real-time, interactive format.

AI Initiative Decision Brief

Leave with a complete business case you can use to propose, pilot, fund, or reject an AI initiative.

ROI Assessment Framework

Model current cost, AI absorption, implementation cost, payback, and expected business value.

AI Opportunity Scorecard

Score and compare AI opportunities across value, feasibility, readiness, risk, and implementation burden.

Workflow Mapping Toolkit

Map a real process, establish the baseline, identify friction, and define where AI can realistically create value.

Human-AI Operating Model

Decide what AI should handle, what stays deterministic, where humans retain control, and how exceptions escalate.

Readiness Assessment Template

Pressure-test data, systems, integrations, ownership, governance, and implementation readiness before committing resources.

Peer Feedback & Pressure Testing

Present your thinking, challenge assumptions, and pressure-test your decision with other managers and operators in the cohort.

I’m OK—You’re OK Paid Community

Continue learning after the cohort with paid access to essays, frameworks, discussions, and practical AI decision-making.

Session Recordings & Resources

Keep access to session recordings, templates, scorecards, frameworks, and course materials for future AI decisions.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

6 live sessions • 7 lessons

Week 1

Oct 14—Oct 18

Find the Right AI Opportunity

Oct
14
Choose the Right AI Workflow — Live Workshop
Wed 10/144:00 PM—5:15 PM (UTC)

1 more item

Week 2

Oct 19—Oct 25

Prioritize What Is Worth Solving

Oct
21
Prioritize What Is Worth Solving — Live Workshop
Wed 10/214:00 PM—5:15 PM (UTC)

1 more item

Schedule

Live sessions

2 hrs / week

Wed, Oct 14
4:00 PM—5:15 PM (UTC)
Wed, Oct 21
4:00 PM—5:15 PM (UTC)
Wed, Oct 28
4:00 PM—5:15 PM (UTC)

Testimonials

Andra Vaduva - appreciate SafeSpace for hosting the session. ROI is absolutely top of mind and your model gave us all a solid framework to consider
Michael Curran
Managing Director, CFO | COO | AI Transformation, MSCI
"A strong programme integrating AI into real, day-to-day processes and showing clearly how it improves output." - On Andra's AI Adoption program
Jessica Oyigo
Director, Nationwide (US insurance)