Educate. Build. Coach. Connect.

Four ways to build AI capability and improve operational work.

Teach your people what AI can do. Find the work worth fixing. Build workflows and put them into daily use. Coach your team to keep them improving—and connect them with peers doing the same.

How the services fit

Start where you need us. Start with education if you can.

Each service stands on its own. Together they follow one path—education first, because it’s what makes the rest work. Peer groups add outside perspective at any stage.

Educate

For leaders, teams & internal champions

AI Training & Champion Development

On the path: Learn · Find

Build practical AI fluency and internal champions who can guide responsible use. Hands-on briefings and workshops use examples from your own operation, so leaders make informed decisions and employees improve real work. Typically, a workshop produces a ranked list of opportunities. The strongest ones then move into a closer look at how the work happens, a focused pilot, and an internal team to carry it forward.

AI Briefing for Leadership — opportunities, risks, and priorities in plain English, before budget or action.
AI 101 — hands-on fundamentals with ChatGPT and Claude, taught on each department’s real tasks and examples.
AI Use Case Identification — a working session that typically surfaces 25 to 50 ranked opportunities.
AI Builder — advanced hands-on training in Claude Code and Codex; your team leaves building working Skills—written playbooks your AI follows—and Agents that put them to work.
Champion Development — built on volunteers who spread what works.

Best when Employees are already experimenting, leaders need a shared direction, or the organization needs safer and more consistent AI practices. You leave with A more confident team, a ranked list of AI opportunities with named owners, clear guardrails, and internal champions who can support adoption. Ask about briefings, workshops, and boot camps

A hands-on AI workshop: a facilitator at a whiteboard walks an industrial team through a workflow diagram while attendees follow along over laptops

Build

For workflows with measurable friction, delay, or risk

AI Workflow Design & Implementation

On the path: Map · Build

Improve one operational workflow with an experienced builder working alongside your operators and subject-matter experts. We map how the work actually happens and identify the bottleneck that sets the pace of everything else. Then we build a controlled workflow around your existing systems and company knowledge. You approve each stage before we continue.

Workflow discovery across people, documents, systems, decisions, and exceptions—verified against your real documents, spreadsheets, and legacy tools, not just interviews.
Data inventory and readiness—when data isn’t captured cleanly at the source, we fix capture before building anything on top of it.
We decide how each step should work: stay human, be standardized, use AI assistance, or become a full AI Skill—a reusable written playbook your AI follows. We name what stays human first.
We improve the process before we automate it, and we check what your existing systems can already do before building anything new.
Workflow design and implementation using approved company knowledge and appropriate system integrations.
Commercial and open-source AI models, delivered through our agent-powered software factory and coding tools such as Codex and Claude Code when appropriate.
Reusable Skills and secure connections to approved company information and systems.
Design and implementation of AI agents and governed knowledge bases that make approved company knowledge easier to find, apply, and share across the enterprise.
Testing and rollout with success measures, traceability, and human-review gates.

Typical applications: Bid and scope comparison, drawing or specification change review, BOM and material extraction, RFQ intake, and other document-intensive workflows.

Best when A specific process creates measurable rework, delay, inconsistency, or risk—and the people doing the work can help design and test a better approach. You leave with A tested and documented workflow, clear ownership and controls, and evidence to expand, revise, or stop before making a larger investment. Read our point of view on agent-ready workflows

An estimator and operations manager leaning over a workbench, reviewing a technical schematic on a laptop beside an open binder of notes

Coach

For executives, managers & internal champions

AI Coaching

On the path: Coach

The same way executives bring in coaches for leadership and performance, we coach your leaders and builders on AI. Because we work with the technology at a deep level, the coaching runs from strategy and governance all the way down to hands-on building—turning scattered AI activity into a capability your organization can manage.

An AI strategy and practical roadmap tied to operational priorities and measurable outcomes.
A proven framework for identifying which workflows are strong candidates for AI automation—and which are not.
Governance for company data, technology choices, approvals, and risk.
One-on-one and small-group coaching for executives, managers, champions, and workflow owners.
Training in AI agent development, so your internal builders can create solutions faster—inside a structured process that keeps approvals, human checks, and governance in place.
A regular operating rhythm for reviewing results and choosing what comes next.

Best when AI activity is growing, but strategy, ownership, priorities, governance, or leadership remain unclear. You leave with A clear AI strategy and roadmap, practical governance, capable internal owners, and a repeatable process for managing and improving AI over time. Explore AI coaching

An advisor and plant manager standing on the production floor reviewing a checklist together

Connect

For executives & hands-on AI builders

AI Peer Groups for Leaders & Builders

Runs alongside the path—join at any point

Learn with peers who are working through similar AI decisions and implementation challenges. Two groups meet today, each built around its members’ responsibilities. Our longest-running group has met monthly for more than a year.

AI Innovation Group for Executives — strategy, governance, investment priorities, organizational adoption, and lessons from other leaders.
AI Innovation Group for Manufacturers — for manufacturing leaders and hands-on builders: use cases, workflows, tools, implementation methods, and practical problem-solving.

Every group is facilitated and candid, built around its members’ responsibilities—practical examples, shared resources, and a trusted peer network.

See both groups, meeting schedules, and how to join

Best when You want an outside perspective, a regular learning rhythm, and peers who understand the practical challenges of putting AI to work. You leave with Better-informed decisions, ideas worth testing, practical implementation lessons, and a network you can continue learning from.

A monthly peer group of business owners in discussion around one conference table at dusk, no presenter

A practical next step

Bring one question, goal, or bottleneck. Leave with greater clarity.

In a 60-minute working session with Dan Hughes, we’ll explore what’s on your mind, assess whether AI is relevant, and identify a practical next step—if there is one. Whether you hire us or not.

Book a 60-minute working session Ask a question by email