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ATD Houston 2026
September 17, 2026
BUILD Track
AI adoption beyond the technology
Practical leadership takeaways
Plot On It Consulting at ATD Houston 2026
Selected BUILD-track session

AI doesn't create momentum by itself. People do.

Join Jade Williams for a practical, people-first conversation about what happens after an organization buys the AI tool — and why adoption, trust, workflow clarity and leadership behavior determine whether the investment actually works.

Official session title The Human Side of AI: Preventing Bottlenecks

A practical session for leaders who want to move from AI access to real organizational adoption.

AI readiness Employee adoption Workflow clarity Leadership behavior
Jade Williams ATD Houston 2026 conference promotional flyer
Jade Williams, MIS, PMP, CSPO
BUILDTrack selection
Conference ATD Houston 2026 Talent Development Conference and Expo
Date + Location
September 17, 2026
West Houston Institute
2811 Hayes Road · Houston, TX 77082
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Conference Companion · ATD Houston 2026

The Human Side of AI: Preventing Bottlenecks

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The Human Side of AI: Preventing Bottlenecks · ATD Houston 2026

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What is the biggest AI adoption bottleneck in your organization right now?

Where is your organization in its AI journey?

What would make AI adoption easier for your team?

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THE HUMAN SIDE OF AI · YOUR NEXT STEP

Use PLOT to integrate AI into the work—not just hand out access.

Buying a tool does not create adoption. Jade’s conversation begins with a leadership question: why are capable people not using the AI already available to them? The answer may be fear, lack of practice time, unclear rules or confidence without enough judgment.

The PLOT framework helps you diagnose and plan. The speech’s four readiness conditions—purpose, trust, capability and leadership—help you put that plan into practice.

P — Present Position

Map one workflow as it works today. Who does it? How long does it take? Where do errors, rework and hesitation appear?

Ask: Are people skeptical, interested but time-poor, or already using AI without enough review?

L — Leverage

Start with approved tools, team expertise, existing data and learning resources you already have. Choose a useful task before adding another subscription.

Ask: What can we safely improve using the people and systems already available?

O — Obstacles

Name the barrier: job fears, no protected learning time, unclear data rules, poor workflow fit or missing manager support.

Act: Assign an owner to remove that barrier. Provide role-relevant training during work and define human review.

T — Target

Define one measurable 30-day result. Record the starting point, an accountable owner and a review date.

Measure: Time, quality, exceptions and confidence—not just logins. Scale only when the workflow meets your agreed checks.

Match the support to the person

  • The expert skeptic: acknowledge the concern, involve their expertise and explain accountability.
  • The willing professional: protect practice time within the workday.
  • The eager user: coach verification, data boundaries and when to involve a human.

Check the four readiness conditions

Purpose: a useful task and clear outcome. Trust: approved data, boundaries and human review. Capability: required, role-relevant learning with protected practice. Leadership: managers model use, remove unnecessary steps and review results.

Run the 30-day test

  1. Week 1: choose one workflow, name its owner and record the baseline.
  2. Week 2: practice with real users, including all three employee perspectives.
  3. Week 3: clarify rules, protect time and remove one old step.
  4. Week 4: compare time, quality, exceptions and confidence; decide whether to adjust, stop or expand.

Your commitment: What is one condition you will create in the next 30 days? Write it in My Notes, then copy or download your notes to keep them.

Open your PLOT workbook

Want help applying this to your team? Bring your completed PLOT worksheet to a conversation with Jade about your workflow, adoption blockers and next implementation step.

What you'll leave with

Not another AI hype session. A leadership framework you can use.

The session is built to help leaders diagnose where adoption is actually getting stuck—and what to change before blaming the technology.

01 · Diagnose

Spot the real bottleneck.

Separate technology problems from unclear workflows, weak ownership, inconsistent communication and low employee confidence.

02 · Prepare

Build readiness before rollout.

Use practical questions to assess leadership alignment, process clarity, training needs, governance and psychological safety.

03 · Activate

Move people from access to adoption.

Connect AI use to real responsibilities, manager coaching, experimentation and measurable business outcomes.

Why this matters now

Organizations are buying AI faster than they are preparing people to use it.

Access does not equal adoption. Employees still have to understand where AI belongs in the work, what responsible use looks like, what changes in their role and how they will be supported while learning.

When those questions are unanswered, organizations often label the result as “resistance.” But what looks like resistance can be a rational response to unclear ownership, inconsistent training, poorly documented processes or fear about how work will change.

The Human Side of AI: Preventing Bottlenecks reframes AI adoption as an operating and change-management challenge—not a software-installation event.

Inside the session

Four conditions that make adoption easier

01 / Purpose

Start with the work, not the tool.

Define the business problem and current process before deciding where AI belongs. A new tool cannot repair a process the organization does not understand.

02 / Trust

Give employees room to question AI.

Trust grows when leaders acknowledge limitations, explain safeguards and create space for employees to test and learn without being punished for uncertainty.

03 / Capability

Train inside real workflows.

General demonstrations create awareness. Adoption grows when employees practice AI within the responsibilities, decisions and outcomes they already own.

04 / Leadership

Model the behavior you expect.

Employees notice what leaders use, reward, question and protect. Visible leadership participation makes AI adoption an operational priority instead of another announcement.

A preview of the conversation

Questions leaders should be asking before rollout

Are employees resisting AI—or responding logically to an unclear implementation?

Can your team explain the business problem AI is supposed to solve?

Are managers prepared to coach experimentation, mistakes and changing expectations?

Do your processes, ownership, data and governance support responsible use?

How will you distinguish real adoption from simply giving people access?

Jade Williams ATD Houston 2026 conference promotional flyer
Meet your session guide

Jade Williams

Jade Williams is the founder of Plot On It Consulting and a data operations leader whose work connects people, process, project execution and responsible technology adoption.

Her approach to AI begins with a practical question: Is the organization prepared to change the way work is performed? She helps leaders look beyond the tool and examine the workflows, communication, training, ownership and employee experience that determine whether transformation succeeds.

MIS PMP CSPO Data Operations AI Adoption Operational Strategy
September 17 · Houston

Come ready to rethink where the bottleneck really is.

Join the BUILD-track conversation at ATD Houston 2026 and leave with practical questions you can take back to your own team.

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This independent educational and announcement page was created by Plot On It Consulting. It is not an official ATD Houston publication. Conference information is subject to change; consult the official conference website for the latest details.
ATD Houston 2026September 17
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