Adopting AI
Successfully scaling AI from isolated proofs-of-concept to enterprise-wide adoption is critical for maintaining a competitive advantage and ensuring operational resilience. These course help organizations strategically integrate AI within the procurement function, while also focusing on vendor due diligence, governance operationalization, and the management of algorithmic risks. Participants will gain practical knowledge for using everyday AI that balance rapid innovation with long-term compliance the results in measurable business impact.
ADPT101
Demystifying AI & Adopting Low-Risk Use Cases
This session introduces the architecture of MS Copilot and the "Art of the Prompt." Learners explore the differences between MS Copilot and publicly available GenAI, and why it's important to pick the right tools at the right time to avoid and mitigate risks.
Learning Objectives
Identify the underlying inputs and core capabilities of your organization's primary enterprise LLM;
identify and perform quick and easy procurement AI use cases;
identify common AI risks and appropriate protective protocols.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
ADPT201
Accelerating Procurement Administration with AI
This session increases in intensity to demonstrate how to use a variety of common apps and tools to perform common administrative tasks (e.g., inbox triage, meeting intelligence, document comparison, presentation design)
Learning Objectives
Identify and use common LLM features for administrative procurement tasks;
Identify and use alternative AI tools for administrative procurement tasks;
Identify key risk-mitigation strategies for basic internal and external AI tools
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
ADPT301
Strategic Lifecycle Optimization & Risk Analysis
This session covers the tail-end of the procurement lifecycle, focusing on contract close-out and transition. It emphasizes "human-in-the-loop" verification to prevent procurement errors.
Learning Objectives
Execute multi-step "chain-of-thought" prompting;
Optimize supplier and category analysis using AI;
Leverage internal and external large data sources for AI-augmented analysis;
Developing strategies and tactics for large data source usage risks.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
ADPT401
Advanced LLM Uses & Complex Data Analysis
Moving beyond basics, this session focuses on complex data manipulation. Learners use advanced tools to analyze market movement, historic pricing, and identify outliers or anomalies in the data.
Learning Objectives
Effective stacking and chaining AI tools for optimum outcomes;
Complex spreadsheet analysis;
Handling sensitive supplier data with compliance considerations.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
AGNT101
Understanding AI Agents
This session demystifies AI agents and establishes a shared vocabulary. Learners explore what makes AI agents different from traditional software (autonomy, reasoning, contextual awareness), understand the technology stack powering them (LLMs, reasoning engines, digital action capabilities), and map agent capabilities to real procurement scenarios.
Learning Objectives
Identify the key components that enable AI agents to function;
Explain basic AI agent capabilities;
Evaluate which procurement tasks have high AI agent potential.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
AGNT201
Managing AI Agents for Successful Outcomes
Building on foundational knowledge, this session provides hands-on exposure to AI agents. Learners examine detailed use cases to build working knowledge of AI agent usage and oversight best practices.
Learning Objectives
Develop evaluation criteria for assessing AI agent outputs;
Use AI agent capabilities at specific procurement phases;
Document AI agent steps;
Evaluate AI agent output quality.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
AGNT301
Managing AI Agents when They Fail Spectacularly
This session prepares learners to anticipate, prevent, and manage AI agent failures before they create procurement disasters. Through case studies of actual agent failures (hallucinated supplier information, misinterpreted contract clauses, automated purchase orders to wrong vendors, biased supplier evaluations), participants learn to think "adversarially" about what could possibly go wrong and identify stop-gaps to fix it.
Learning Objectives
Evaluate agent workflows to identify failure potential;
Establish practical human-in-the-loop checkpoints and validation protocols;
Implement circuit breakers and rollback procedures.
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
AGNT401
Co-Creating Effective Agents
Participants learn the agent development lifecycle including conducting detailed process mapping with embedded safety mechanisms, defining success metrics, designing effective human-agent collaboration patterns, and establishing feedback loops.
Learning Objectives
Articulate procurement-specific requirements;
Collaborate with technical teams using shared terminology;
Validate multi-turn agent outputs and performance
Duration
3 hr
Delivery Type
Live Instructor
Delivery Mode
In-person, Online
Acquiring AI
Mastering the nuances of AI acquisition is vital for leaders to safeguard their organizations against the unique risks that traditional IT procurement frameworks often overlook. This series guides participants through the complexities of AI supply chains, from developing risk-aware solicitations to negotiating high-stakes contract clauses and pricing models. Ultimately, participants will have background knowledge to address AI procurements with greater confidence, ensuring AI investments are governed by industry-accepted compliance standards and sustainable performance metrics.
ACQ101
Fundamentals of Buying AI
This session bridges the gap between general IT procurement and the specific nuances of purchasing AI. It explains how risks across the AI value chain transfer to buyers and how to ask the right technical questions during discovery.
Learning Objectives
Identify the fundamental differences between buying AI solutions and traditional IT solutions;
Identify unique components of AI solutions (LLMs, compute, data);
Recognize AI-specific risks throughout the vendor's AI supply chain.
Duration
3 hr
Delivery Type
Live
Delivery Mode
In-person, Online
ACQ201
Soliciting & Evaluating AI Solutions
Learners explore how to use AI to buy AI. This includes evaluations to help establish proportionate requirements, quantify vendor response evaluations, and establish critical negotiation priorities.
Learning Objectives
Draft risk-aware AI solicitation requirements;
Apply GenAI rubrics to the vendor evaluations;
Identify risks and mitigation options for solutions that are not perfect;
Duration
3 hr
Delivery Type
Live
Delivery Mode
In-person, Online
ACQ301
Understanding Advanced AI Concepts & AI Pricing Models
This session focuses on the long-term implications of procuring AI solutions, including API costs, compute and token needs, and the scalability of the solution within the existing enterprise SaaS solutions and cloud architecture.
Learning Objectives
Evaluate and assess advanced AI concepts such as synthetic data, safety net solutions and latency concerns, in-line vs external observability solutions, AI audits, and more;
Identify the inputs and variables to Total Cost of Ownership (TCO) for AI integrations;
Identify pricing models in complex and advanced AI scenarios (including agents).
Duration
3 hr
Delivery Type
Live
Delivery Mode
In-person, Online
ACQ401
Governance, Negotiations, and Post Contract Management
This session addresses regulatory requirements and essential organizational governance needs and how these mandates impact buyers (and sellers) of AI solutions. Learners develop a roadmap for using contracting tools to set up continuous AI monitoring post-contract.
Learning Objectives
Identifying relevant jurisdictional AI laws and regulations;
Establish essential AI contract clauses;
Negotiate essential AI governance controls;
Conduct post contract AI supplier management;
Mitigate emergent risks during post-contract AI solutions.
Duration
3 hr
Delivery Type
Live
Delivery Mode
In-person, Online
AUDT501
Understanding the AI Audit & Assurance Landscape
Learning Objectives
Compart AI laws and regulations with AI assurance and audit requirements;
Identify different types of AI assurance and audit services;
Develop solicitation requirements for independent third-party AI audit services;
Create evaluation criteria for AI audit services
Duration
3 hr
Delivery Type
Live
Delivery Mode
In-Person, Online
Acquiring AI:
Professional Certifications
Formal credentials for any procurement professional is essential to help an organization standardize AI risk management and ensure vendor accountability in a rapidly evolving regulatory landscape. This highly regarded education program offers a series of specialized, self-paced certifications focusing on distinct AI categories, including indirect risks, autonomous agent platforms, and complex enterprise-scale deployments. These professional designations validate the holder's expertise in navigating the Chain of AI Accountability and managing risks throughout the AI supply chain, providing leaders with confidence that they are qualified to uphold the highest standards of AI governance and procurement excellence.
Certified AI Procurement Sprecialist
Indirect AI Risks
This certification covers foundational 3rd party AI risk management for NON-tech vendors that use AI in their operations and/or to deliver work products. Learners gain familiarity with indirect sources of legal, security, and operational AI risks and learn techniques to establish visibility and mitigations.
Learning Objectives:
Establish baseline risk management practices for 3rd party vendors;
Identify governance frameworks specifically used for non-AI technology vendors that rely on AI tools to accomplish the work and support their operations;
Apply fundamental 3rd party risk assessment and risk management protocols.
Delivery Type
Self-Paced
Delivery Mode
Online
Certified AI Acquisition Professional
AI Agent Platforms
This advanced certification covers platforms that orchestrate multiple AI models and agents (e.g., LangChain, AutoGPT, custom agent frameworks). Learners master complex pricing structures involving multiple API providers, evaluate latency and performance SLAs, and assess vendor lock-in risks in multi-component architectures.
Learning Objectives:
Evaluate agent frameworks and multi-agent orchestration platforms;
Evaluate agent guardrail, security, compute, and architectural features;
Calculate usage tiers and rate limits for complex workflows.
Delivery Type
Self-Paced
Delivery Mode
Online
Certified Advanced AI Procurement Specialist
General-Purpose AI
This certification focuses on how to effectively scope and evaluate stand-alone general-purpose AI tools. Learners identify and evaluate AI requirements, comparative model performance metrics, data privacy boundaries, pricing models, and upgrade/update management.
Learning Objectives:
Evaluate and compare structural elements and performance metrics of general-purpose AI solutions (e.g., ChatGPT, Claude, Gemini);
Assess common AI licensing models;
Identify fundamental AI risks and safe practices related to general purpose AI solutions
Delivery Type
Self-Paced
Delivery Mode
Online
Certified Advanced AI Acquisition Professional
Multiplex AI Solutions
The highest-level certification for enterprise-scale AI deployments involving custom models, fine-tuning, and complex integrations. Learners develop expertise in negotiating bespoke contracts with multiple vendors, establishing continuous monitoring frameworks, defining measurable AI performance criteria, and managing long-term vendor relationships for mission-critical AI systems.
Learning Objectives:
Learn to develop end-to-end, component-based scope of work and contract requirements;
Establish complex and robust acceptance criteria;
Define and interpret performance metrics;
Develop strategies for post-deployment oversight monitoring and observability.
Delivery Type
Self-Paced
Delivery Mode
Online
Certified Advanced AI Procurement Specialist
AI-Embedded Platforms
This certification addresses SaaS platforms where AI capabilities are embedded within broader solutions (e.g., Salesforce Einstein, ServiceNow AI). Learners navigate complex licensing structures, "pop up" AI feature introductions, AI reliance on existing enterprise systems, and contract types, structures, and clauses to support practical AI governance needs.
Learning Objectives:
Assess SaaS platforms that contain embedded AI features and models;
Distinguish between embedded AI features and core platform functionality;
Evaluate AI capabilities, data processing agreements for AI-infused services;
Identify best practices in contracting to support continuously-evolving platforms;
Establish contract controls to manage AI risks.
Delivery Type
Self-Paced
Delivery Mode
Online
Mark of Trust:
Training Platform & Logistics:
Our certificates and badges carry the Trust Mark of our wholly-owned subsidiary, the Ethical AI Training Institute. See all Terms and Conditions related to training HERE.