A three-day, hands-on programme for operations directors, supply chain and procurement managers, and logistics, quality and maintenance leads. Apply AI to demand forecasting, supplier management, inventory and logistics, quality management and predictive maintenance, then build and evaluate a working reconciliation agent in a pre-configured lab. Every delegate leaves with a working operations agent, an AI opportunity map for their function and a ninety-day plan.
"Orders, shipments, stock, suppliers. Every reconciliation in the supply chain is an agent waiting to be built, and a person still signs off the exception."
This three-day programme is built for operations, supply chain, procurement, logistics, quality and maintenance leaders who now have to decide where AI belongs in their operation. Operations produces a heavy load of documents and data: standard operating procedures, shift reports, work orders, supplier correspondence, forecasts, exception lists and quality records. Generative AI drafts, summarises and cross-checks that work well. Machine learning and optimisation handle the forecasting, scheduling and routing questions behind it. An AI agent goes one step further: given a goal, such as reconciling the order book against the shipment log, it works out the steps, reads the data, applies the rules and hands the result to a person for approval. The programme supplies the AI method, which work to hand over, how to ground it in the organisation's own documents and systems, and how to verify a result before it is acted on, while the operations expertise stays with the participants.
Day one establishes how generative AI works, places each type of AI where it belongs across the operation, takes every participant through structured prompting on their own operational documents, and closes with an AI opportunity map for their function. Day two applies AI across the supply chain: process thinking for automation, demand forecasting and planning, procurement and supplier management, inventory, warehousing and logistics, quality management, and production and maintenance. Day three moves from assistants to agents. Participants design and build an order and shipment reconciliation agent on a wholesale distribution case carrying realistic ambiguity and planted edge cases, instrument it and read its traces, metrics and costs, then set the governance and data controls for AI in their own operation. Emerging methods and the ninety-day plan close the programme.
Every lab runs in a pre-configured cloud environment opened from a browser, with no software to install. Participants choose a visual build track or a coding-agent track, and each lab is verified against fixed acceptance criteria. Participants leave with a working reconciliation agent, an operations prompt library, an AI opportunity map for their function, an evidence pack of traces and metrics, governance starting points, and a ninety-day plan. The programme finishes on where the field is heading: agentic AI, where an operations agent is given a goal and plans and executes the work under human supervision, with context engineering, agentic retrieval-augmented generation, the Model Context Protocol and multi-agent orchestration across the supply chain.
This programme is designed for the leaders, managers and analysts of operations, supply chain, procurement, logistics, quality and maintenance functions in manufacturing, distribution, retail, logistics and service businesses:
By the end of this programme, participants will be able to:
Each module follows the TEA™ framework, twenty percent theory, twenty percent examples, sixty percent hands-on application on your own operational scenarios. Day one builds fluency and the opportunity map; day two applies AI across the supply chain; day three builds, evaluates and governs an operations agent.
Whatever programme you choose, it follows three proven instructional frameworks, from design to delivery to evaluation.
Our signature approach structures every module into three phases for maximum retention and practical application.
The industry-standard model for course design and learning alignment.
The globally recognised four-level framework for measuring training effectiveness, from initial reaction to long-lasting post-training effects.
Private cohorts for operations and supply chain teams, live online or on site. Schedule a TNA call and receive a custom proposal within 48 hours.
No vendor lock-in, no paywalled materials. Every delegate leaves with the working files, the templates, and the post-programme support to actually use them.
8 – 12 tested prompts built during the session on your actual work scenarios.
Dashboards, workflow templates, and evaluation frameworks ready to use.
Full soft copy of all session materials, handouts, and reference guides.
Certificate of Completion plus a guided pathway to the Google AI certificate.
Post-programme Q&A availability and implementation guidance.
Access to updated prompt libraries and resources as AI tools evolve.
Delivered at your offices or venue. Maximum engagement for teams of 8 – 25 participants. All exercises use your team's actual work scenarios.
Real-time delivery via Zoom, Meet, or Teams. Interactive breakout rooms, same content depth as in-person. Ideal for distributed teams.
Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work materials and follow-up resources included.
104 courses in nine families, overview level, methodology up front.
Book a private programme for your operations and supply chain team. Custom proposal within 48 hours. Delivery live online or on site.