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Relay resource library

Practical answers for building AI into real operations.

Clear guidance on choosing a workflow, capturing employee judgment, designing human review, building with your team and transferring ownership, plus detailed product-data examples.

Applied AI workflows
Collaborative implementation guide

How to Build an AI Workflow With the People Who Know the Work

A practical approach to designing, building and transferring an AI-enabled workflow with the employees who understand how the operation really works.

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Operational knowledge guide

How to Capture Operational Judgment Before Automating a Workflow

Learn how to identify trusted sources, quality standards, exceptions and escalation rules before building an AI-enabled operational workflow.

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AI pilot planning guide

How to Choose the First Workflow for an Applied-AI Pilot

A practical framework for selecting one bounded, valuable and learnable workflow for an applied-AI diagnostic or working pilot.

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Human quality control guide

Where Human Review Belongs in an AI-Enabled Workflow

Learn how to place human review at meaningful decision points in an AI-enabled operational workflow without recreating all of the manual work.

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Capability transfer guide

What AI Workflow Ownership Transfer Should Include

A practical checklist for transferring an AI-enabled workflow to internal users, reviewers and system owners after implementation.

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Product data operations
Product data operations guide

How a Vendor Product Data Workflow Works

A practical guide to turning supplier spreadsheets, PDFs, catalogs and cut sheets into validated, human-reviewed product records.

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Product data operations guide

How to Normalize Supplier Product Data

Learn how distributors normalize supplier identifiers, specifications, units, terminology, variants and product relationships without losing source traceability.

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Product data quality guide

Product Data Validation for Building-Products Distributors

A practical framework for validating technical product records with required fields, allowed values, cross-field rules, source checks and human exceptions.

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Systems and workflow guide

Where a Product Data Workflow Fits Between ERP, PIM and Ecommerce

Understand the role of a validated workflow between supplier files and the ERP, PIM, ecommerce, sales and marketing systems a distributor already uses.

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Applied AI governance guide

Where Human Review Belongs in AI-Assisted Product Data

Learn where human approval, source evidence and exception handling belong in an AI-assisted product data workflow for technical products.

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