Build an AI Practice That Scales

The AI Factory Partner Enablement Series is a six session programme designed to help partners move from disconnected AI projects to a repeatable, secure, and scalable AI delivery model.

Learn how to standardise AI delivery across ideation, deployment, governance, and scale – and turn AI into a profitable, repeatable practice.


Why Attend
Most AI initiatives struggle to move beyond proof of concept. This series shows you how to operationalise AI using proven delivery patterns that reduce risk, accelerate deployment, and support long term growth.

Through live demos and practical guidance, you’ll learn how AI Factory helps partners deliver AI solutions with confidence – from first conversation to production.

What You’ll Learn
Across six live sessions, you’ll discover how to:

  • Standardise AI delivery from ideation to production
  • Build secure, governed AI solutions aligned to real business needs
  • Reduce delivery risk using proven AI Factory patterns
  • Accelerate adoption by embedding AI into workflows
  • Gain cost visibility and scale a profitable AI practice
Who Should Attend
This series is ideal for partners who want to:

  • Build or scale an AI practice
  • Deliver AI projects more consistently
  • Reduce risk and increase customer confidence
  • Move AI from experimentation into production

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Technologies Covered
This series focuses on operationalising AI across leading Microsoft technologies, including:

  • Azure OpenAI
  • Microsoft Copilot
  • Agentic AI workflows
  • Microsoft Fabric
All sessions are delivered through the AI Factory operating model, bringing structure and consistency to AI engagements.

Programme Format

  • Six live sessions
  • Live demos in every session
  • Interactive Q&A with experts
  • Practical, repeatable delivery guidance

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Session Recordings



Session 1 -  Turning ideas into practical AI solutions efficiently with UnifyCloud and TD SYNNEX

Many AI conversations start from scratch, slowing discovery and creating inconsistent outcomes. Partners often struggle to prioritise opportunities with real business impact, and sales led ideas frequently fail later due to feasibility issues.

In this session, you’ll learn how to prepare, clean, and structure data so AI models learn accurately and efficiently, and how to standardise AI project ideation using the AI Factory Use Case Gallery. This structured approach accelerates discovery, improves prioritisation, embeds feasibility checks early, and helps you build a scalable, repeatable sales to delivery motion across all customers.




Session 2 - Choosing the Right AI Architecture consistently with UnifyCloud and TD SYNNEX

Selecting the right AI architecture can be challenging when solutions appear similar but deliver very different outcomes. Confusion between Azure OpenAI and Copilot capabilities often leads to misaligned solutions and POCs that fail to scale.

This session shows you how to make confident, repeatable architecture decisions using AI Factory’s pre mapped AI patterns. Learn when to apply Azure OpenAI, Copilot Studio, or agentic AI to reduce technical risk, eliminate guesswork, and deliver scalable, production ready solutions.


Session 3 - Deploying AI Solutions Safely and Reliably at Scale with UnifyCloud and TD SYNNEX

AI deployments often stall due to inconsistent security configurations, manual Azure setup, and long onboarding cycles that delay revenue.

In this session, you’ll learn how to deliver AI solutions safely, securely, and at scale using AI Factory’s automated deployment capabilities. Discover how secure by design templates, pre deployment checks, and Azure Landing Zone alignment reduce risk, accelerate provisioning, and free consultants to focus on higher value work.




Session 4 - Embedding AI into Customer Workflows with UnifyCloud and TD SYNNEX

AI deployments often fail to gain traction when they sit outside core business processes, leading to low adoption and missed renewal opportunities.

This session explores how to deliver Copilot first, workflow embedded AI that integrates seamlessly into Microsoft 365 and line of business applications. Learn how AI Factory’s integration layer helps you map AI capabilities to customer workflows, identify high impact integration points, and configure Copilot experiences that drive immediate adoption and visible business value.


Session 5 Managing Risk Without Slowing Delivery with UnifyCloud and TD SYNNEX

AI governance often becomes a bottleneck when addressed too late, leading to rework, compliance gaps, and increased partner liability.

In this session, you’ll learn how to embed governance directly into AI delivery using automated policy enforcement, Responsible AI monitoring, and audit trails. See how governance can become an accelerator — reducing regulatory risk, strengthening executive trust, and enabling fast, confident delivery.



Session 6 - From Projects to a Managed AI Practice with UnifyCloud and TD SYNNEX

One off AI projects often struggle without standardised delivery models, cost controls, or an operational framework. Unpredictable consumption and inefficient resource utilisation erode margins and limit scalability.

In this session, you’ll learn how to use AI Factory as a scale engine to turn individual projects into a repeatable, profitable managed AI practice. Explore how standardised delivery, cost visibility, FinOps dashboards, and reusable AI patterns help you protect margins, expand your portfolio, and deliver consistent value across customers.