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New release — Charles Hinds, M.Ed.

Role Intelligence
at Work

What Comes After Training

Most organizations have already invested in training. The problem isn't the content. The problem is that training stops, and the work doesn't.

Employees forget. Processes change. New tools arrive before anyone updates the course. When something goes wrong in the middle of a real job, the person doing the work has nowhere to turn.

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Performance Support · AI · L&D
Role Intelligence
at Work
What Comes After Training
Author
Charles Hinds
M.Ed. · Learning Designer
The Gap No One Is Talking About

Training was never designed
to sustain performance.

It was designed to introduce it. And for decades, that was enough. But the pace of change in modern organizations has outrun what any training program can keep up with.

Knowledge Decay

Research shows people forget the majority of what they learn in training within days. The forgetting curve is steep, and busy work schedules make it steeper.

Constant Change

Processes, tools, policies, and procedures change faster than training content can be updated. Courses go stale. Employees work from outdated mental models.

Information Friction

Employees spend significant time each week searching for information they need to do their jobs. That time is invisible in most measurement systems, but its cost is not.

A Better Question
Instead of asking how to make training more memorable,
what if you asked:
"How do we support people while they are doing the work?"
The answer isn't another course. It's a system.

That system is what this book builds, step by step. Grounded in real practice and a real-world deployment that demonstrated what becomes possible when learning and performance finally work together.

The Central Concept

The Role Intelligence Layer

An AI-powered system that sits between your training content and your workforce, connecting organizational knowledge to the people who need it, during the work itself.

Your Knowledge

Policies, job aids, SOPs, training content, and operational documentation — already approved and trusted by your organization.

AI Retrieval

The system finds and surfaces the most relevant answer, grounded in your content, with source citations so employees can trust what they receive.

Workflow Delivery

Answers arrive inside the tools people already use, in the moment they need them, without leaving the work to go find information.

Continuous Improvement

The system updates automatically as your content changes. When the policy changes, the answer changes. No manual course revision required.

Real-World Proof

Role IQ: Built, Deployed, and Working

Charles developed Role IQ, a production-ready agent built in Microsoft Copilot Studio and embedded directly inside Microsoft Teams. Employees ask questions in natural language and receive immediate, source-cited answers grounded in approved internal content. When internal content is updated, answers update automatically.

60–75%
Reduction in employee information-search time in early testing
↓ HR
Significant drop in routine escalations to HR and support teams
100%
Grounded in your organization's approved, trusted content
What You Will Learn

A practical guide, chapter by chapter.

Each section addresses a real dimension of building support that outlasts training — grounded in practice, not theory.

The Foundation

Why Training Alone Is No Longer Enough

The performance gap has always existed. What's changed is that the tools now exist to close it. This section reframes what learning systems are actually for.

The Architecture

Introducing the Role Intelligence Layer

How to structure organizational knowledge so AI can retrieve it accurately, trust it consistently, and deliver it at the right moment without guesswork.

The Loop

The Role Intelligence Loop

The cycle that connects training to performance to feedback and back. How to design a system that gets smarter as your organization learns from itself.

The Practice

Role IQ in Practice

A step-by-step look at how Role IQ was built, tested, and deployed inside Microsoft Teams — including the decisions, trade-offs, and lessons from real use.

The Moments

Mapping the Moments That Matter

Identifying the specific points in a role where people are most likely to need support and most likely to make a mistake without it.

The Content

Building Knowledge AI Can Trust

What makes organizational knowledge retrievable and usable by AI. How to audit, structure, and maintain the content your system depends on.

The Deployment

Deploying Inside the Workflow

How to embed support directly inside the tools people use without creating friction or the need to leave the work to get help with it.

The Measurement

Measuring What Actually Changes

Moving beyond completion rates. What performance-level measurement looks like and how to build a case for investment that holds up to scrutiny.

The Leadership

Leading the Shift

The organizational conditions that make this work, and the ones that stop it. How to build the coalition and infrastructure that sustain a Role Intelligence Layer over time.

The organizations that get this right won't just train better.

They will perform better, consistently, at scale.

That is the promise this book exists to deliver on.

Meet the author
Charles Hinds
About the Author
Charles Hinds
M.Ed.  ·  Learning Designer  ·  Performance Strategist

Charles Hinds, M.Ed., is a learning designer and performance strategist who has spent his career helping organizations close the gap between training and the work that training is supposed to support.

He developed Role IQ, a production-viable AI support agent built in Microsoft Copilot Studio and embedded directly inside Microsoft Teams, delivering role-specific, source-cited answers to employees in the moment of need.

His work is grounded in a single conviction: the real measure of a learning program is not what people remember when training ends, but what they can do when the work gets hard.