About

Daniel Michael Newland: Claude trainer, instructional designer, practitioner.

Daniel Michael Newland is a Claude training consultant and certified instructional designer (CPLP, PMP) based in Palm Springs, California. He designs and delivers Claude programs for teams in regulated environments, including a 400+ employee rollout with 117 hours of live instruction in one month.

  • PMP
  • CPLP
  • Certified Instructional Designer
  • Lean Six Sigma Black Belt
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Daniel Michael Newland, Claude trainer and instructional designer
Palm Springs, CA

Experience

Where has Daniel worked?

  1. Founder & AI Lead Consultant, TechStack Consulting LLC2023 – present
    • Lead engagements from executive discovery through delivery and enablement, for clients from 20 to 10,000+ employees.
    • Designed and delivered the flagship Claude rollout for a regulated components manufacturer, described in the case study.
    • Deployed secure Document AI copilots for compliance-heavy workflows with access control and audit logging.
    • Run the practice daily on Claude, Claude Code, ChatGPT, and Supabase, so the training reflects hands-on use.
  2. Global IT Support Manager & AI Operations Lead, publicly traded solar energy company2024 – 2025
    • Led IT and early AI operations for a distributed team across the U.S. and India in a SOX environment.
    • Built SOX evidence capture (role-based access, audit logging) into AI workflows, with zero failed audit samples across review periods.
  3. Director of Training & AI Enablement, national logistics organization2023 – 2024
    • Owned training reinvention and built the organization’s AI operating model, from pilot to scale.
    • Standardized enablement measurement and executive reporting across a distributed workforce.
  4. Software Trainer & Implementation Lead, national building materials distributor2016 – 2022
    • Led CRM and BI rollouts across 20+ business units.
    • Delivered 120+ sessions and 300+ office hours, with a 4.7/5 instructor rating.
  5. Senior Customer Success Manager, SaaS sales-intelligence company2013 – 2016
    • Built executive business-review frameworks that cut churn and grew net revenue retention.

Capabilities

What can Daniel do for your team?

AI rollout & adoption

Department training, pilot design, and reporting that shows where teams need coaching.

Instructional design

Live instruction, self-paced materials, workplace simulations, and feedback.

Workflow design & automation

Reusable prompts and workflows with approved inputs, human review, and escalation.

AI governance in practice

Synthetic exercises, data-handling boundaries, and source verification for regulated teams.

Executive reporting

Adoption readouts, scenario performance, and recommendations for the next phase.

AI tools

Fluent in Claude, Claude Code, ChatGPT, and Codex.

Learning platforms & authoring

Articulate 360 Expert. Familiar with most LMS systems. Instructional design and technical writing for live and self-paced learning.

Related work

The regulated manufacturing rollout is my flagship engagement. The work below is supporting evidence of capabilities a training buyer hires for.

Training video production

For a customer-retention platform for local service businesses, I produced a series of AI-narrated explainer films, plus short-form clips: scripting, voice selection, and production end to end. It is the same production capability behind training video people will actually watch.

Consulting for a national nonprofit association

A consulting engagement inside a member organization’s real processes, which is where rollout and workflow advice has to land.

CRM automation builds

I built and ran a GoHighLevel prospecting system: researched and tagged contacts, segmented campaigns, and delivery tracked through opens and replies.

Daily practitioner

I run my own consulting practice on the tools I teach, so the training reflects current hands-on practice rather than slideware.

Regulated environments

Has Daniel worked with regulated data?

I have worked in environments where some data must never touch an AI tool: CUI, ITAR, and EAR in manufacturing, and SOX in a publicly traded company. In those settings I set the data boundary with IT and Security first, use synthetic examples in every exercise, and teach output verification as a habit.

Books

What has Daniel written?

I am the author of How to Build an App with Claude Code and of books on leadership. See my books on Amazon.

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  • Governance and compliance requirements
  • Change-management considerations
  • Adoption risks
  • A practical rollout strategy
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