From Agentic AI for Customer Service
For solution architects, ai engineering leads, transformation teams
AI System Design
AI System Design is 17 decks totalling 654 editable slides. Each deck stands on its own and downloads separately, so you can take the one you need for Monday's session without wading through the rest.
Built for Solution architects, AI engineering leads, transformation teams.
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What’s in this toolkit
19 decks, 633 editable slides. Download them individually or take the lot.
1/5
Customer Service
SD01AdvancedReferenceAgentic AI for Customer Service
Choose an agentic architecture for customer service, component by component, with the reasoning written down.
Reference architecture for agentic AI in customer service, covering RAG, memory, orchestration, MCP and where fine-tuning earns its place.
44 slides
Checking1/5
Food and Beverage
SD02AdvancedReferenceAgentic AI for Food Beverage Manufacturing
Choose an agentic architecture for food and beverage manufacturing against your own constraints.
Reference architecture for agentic AI in food and beverage manufacturing, from decision method through to component selection.
44 slides
Checking1/5
Human Resources
SD03AdvancedReferenceAgentic AI for HR
Choose an agentic architecture for HR processes where the sensitivity of the data drives the design.
Reference architecture for agentic AI across HR processes, with the architecture decision method made explicit.
44 slides
Checking1/5
IT Service Desk
SD04AdvancedReferenceAgentic AI for IT Service Desk
Choose an agentic architecture for the IT service desk, from grounding through to tool access.
Reference architecture for agentic AI on the IT service desk, covering grounding, tools and orchestration.
44 slides
Checking1/5
Master Data
SD05AdvancedReferenceAgentic AI for Master Data Management
Choose an agentic architecture for master data, built on entity resolution and reversible merges.
Reference architecture for agentic AI in master data management, built around entity resolution and reversibility.
44 slides
Checking1/5
Manufacturing
SD06AdvancedReferenceAgentic AI for Manufacturing
Choose an agentic architecture across manufacturing operations without starting from the technology.
Reference architecture for agentic AI across manufacturing operations.
44 slides
Checking1/5
Payables
SD07AdvancedReferenceAgentic AI for Payables
Choose an agentic architecture for payables, from capture through to payment integrity.
Reference architecture for agentic AI in accounts payable, from capture through to payment integrity.
44 slides
Checking1/5
Pharma and Life Sciences
SD08AdvancedReferenceAgentic AI for Pharma LifeSciences
Choose an agentic architecture for life sciences with validation and traceability designed in.
Reference architecture for agentic AI in pharma and life sciences, with validation and traceability treated as first class.
44 slides
Checking1/5
Procurement
SD09AdvancedReferenceAgentic AI for Procurement
Choose an agentic architecture for procurement using a decision method rather than a vendor shortlist.
Reference architecture for agentic AI in procurement, covering the decision method, the core components and procurement-specific patterns.
44 slides
Checking1/5
Receivables
SD10AdvancedReferenceAgentic AI for Receivable Management
Choose an agentic architecture for receivables and collections across the order-to-cash chain.
Reference architecture for agentic AI in receivables and collections.
44 slides
Checking1/5
Sales and Marketing
SD11AdvancedReferenceAgentic AI for Sales Marketing
Choose an agentic architecture for sales and marketing workflows and their content pipelines.
Reference architecture for agentic AI across sales and marketing workflows.
44 slides
Checking1/5
Semiconductor
SD12AdvancedReferenceAgentic AI for Semiconductor Manufacturing
Choose an agentic architecture for semiconductor manufacturing and its yield and quality loops.
Reference architecture for agentic AI in semiconductor manufacturing.
44 slides
Checking1/5
Supply Chain Planning
SD16AdvancedReferenceFillableAgentic AI for Supply Chain Planning
Choose an agentic architecture for supply chain planning, including the seams between planning domains.
Reference architecture for agentic AI in supply chain planning, covering demand, supply, inventory and the seams between them.
38 slides
Checking1/2
Decision Frameworks
SD17AdvancedReferenceRAG Decision Framework
Decide in one page whether your system needs retrieval grounding at all.
A single-page decision framework for whether a system needs retrieval augmented grounding.
2 slides
Checking1/5
Manufacturing
SD18AdvancedArchitectureAgent Stack Architecture for Manufacturing
Walk through the full agent stack for manufacturing, from orchestration down to deployment, with the architecture decisions written down.
A deeper technical companion covering the agent roster, orchestration control plane, memory architecture, and deployment topology behind an agentic AI system for manufacturing. Goal-driven, Multi-agent, Real-time, Shop-floor connected.
13 slides
Checking1/5
Accounts Payable
SD19AdvancedArchitectureAgent Stack Architecture for Accounts Payable
Walk through the full agent stack for accounts payable, from orchestration down to deployment, with the architecture decisions written down.
A deeper technical companion covering the agent roster, orchestration control plane, memory architecture, and deployment topology behind an agentic AI system for accounts payable. Goal-driven, Multi-agent, Touchless, Fully auditable.
13 slides
Checking1/5
Procure-to-Pay
SD20AdvancedArchitectureAgent Stack Architecture for Procure-to-Pay
Walk through the full agent stack for procure-to-pay, from orchestration down to deployment, with the architecture decisions written down.
A deeper technical companion covering the agent roster, orchestration control plane, memory architecture, and deployment topology behind an agentic AI system for procure-to-pay. Goal-driven, Multi-agent, Orchestrated, Observable, Auditable.
13 slides
Checking1/5
Accounts Receivable
SD21AdvancedArchitectureAgent Stack Architecture for Accounts Receivable
Walk through the full agent stack for accounts receivable, from orchestration down to deployment, with the architecture decisions written down.
A deeper technical companion covering the agent roster, orchestration control plane, memory architecture, and deployment topology behind an agentic AI system for accounts receivable. Goal-driven, Multi-agent, Cash-optimizing, Customer-aware.
13 slides
Checking1/5
Supply Chain Planning
SD22AdvancedArchitectureAgent Stack Architecture for Supply Chain Planning
Walk through the full agent stack for supply chain planning, from orchestration down to deployment, with the architecture decisions written down.
A deeper technical companion covering the agent roster, orchestration control plane, memory architecture, and deployment topology behind an agentic AI system for supply chain planning. Goal-driven, Multi-agent, Scenario-aware, Continuously replanning.
13 slides
Checking
How this toolkit is built
Not a description of the toolkit. The actual shape of what’s inside it, drawn from the decks themselves.
Objectives
This Toolkit includes frameworks, tools, templates, tutorials, real-life examples and best practices to help you:
Customer Service: Reference architecture for agentic AI in customer service, covering RAG, memory, orchestration, MCP and where fine-tuning earns its place.
Food and Beverage: Reference architecture for agentic AI in food and beverage manufacturing, from decision method through to component selection.
Human Resources: Reference architecture for agentic AI across HR processes, with the architecture decision method made explicit.
IT Service Desk: Reference architecture for agentic AI on the IT service desk, covering grounding, tools and orchestration.
Master Data: Reference architecture for agentic AI in master data management, built around entity resolution and reversibility.
Manufacturing: Reference architecture for agentic AI across manufacturing operations.
Payables: Reference architecture for agentic AI in accounts payable, from capture through to payment integrity.
Pharma and Life Sciences: Reference architecture for agentic AI in pharma and life sciences, with validation and traceability treated as first class.
Questions about AI System Design
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Examples of projects done with our Toolkits and Experts
AI Product Strategy
Defining a two-year AI product strategy for a B2B SaaS platform, resulting in three funded product bets and a 30% increase in expansion revenue within 18 months.
Use Case Portfolio
Running enterprise-wide AI use-case discovery for an industrial group, producing a scored portfolio of 60+ use cases and a funded first wave of 8 pilots.
GenAI Feature Launch
Guiding a marketplace team from PRD to launch of an AI assistant, reaching 40% weekly active adoption within one quarter.
AI Governance
Standing up an AI review board and tiered risk framework for a financial services firm ahead of EU AI Act enforcement.
Procurement AI
Deploying AI spend classification for a global retailer, uncovering $25M in addressable savings across 4 categories.
Demand Forecasting
Piloting ML demand forecasting for a CPG company, cutting forecast error by 18% and safety stock by 12%.
Supplier Risk
Designing an AI-assisted supplier risk monitoring program covering 2,000 suppliers with automated tiering and alerting.
Control Tower
Blueprinting a supply chain control tower for a logistics provider, reducing exception resolution time by 35%.
AI Academy
Launching a role-based AI academy for an operations function of 1,500 people, with 85% completion in six months.
Contract Intelligence
Implementing clause-extraction workflows for a legal-procurement team, cutting contract review time by 50%.
S&OP Upgrade
Embedding forecast-value-added analysis into S&OP for a manufacturer, aligning demand plans across three business units.
Operating Model
Designing a hub-and-spoke AI operating model for a services group, clarifying decision rights across 5 business lines.