Across the office, jobsite, and plant floor, we help your people learn to use AI, clear the bottlenecks that slow real work, and manage adoption responsibly—through practical training, hands-on implementation, coaching, and peer learning.
Talk directly with Dan Hughes, founder. No prep needed—just bring your questions or challenges.
Teams come in unsure where AI fits. They leave saving hours on bid analysis, spec reviews, and routine data tasks—using AI safely in their own work every day.
Five steps turn that into practical AI workflows your team can run and improve.
Hands-on AI training, on your own work.
Surface and rank your use cases—high value, low lift first.
Break the process apart and decide what stays human.
Develop and test the workflow on real work.
Grow the team and expand AI adoption across your business.
The path above runs through these four services. Most companies begin with training and grow from there; peer groups can start any time.
01 · Educate
Build practical AI fluency and internal champions who can guide responsible use. Hands-on workshops work through examples from your own operation and produce a ranked list of opportunities.
Deliverables: AI Briefings, AI Use Case Identification, AI 101, AI 102, and AI Builder
How AI training works
02 · Build
An experienced AI builder works alongside your team in a focused sprint to map, build, test, and put a new workflow into daily use.
Deliverables: Discovery & Process Mapping, Workflow Engineering, Testing & Rollout
How the build works
03 · Coach
Coaching for executives, managers, and internal champions—from AI strategy and governance down to hands-on building. Because we work with the technology at a deep level, the guidance comes from doing, not theory.
Deliverables: Executive & Manager Coaching, AI Strategy & Roadmap, Builder Mentorship
How AI coaching works
04 · Connect
Peer groups matched to responsibilities. Executives focus on strategy, governance, investment priorities, and organizational adoption. Manufacturing leaders and hands-on builders compare use cases, workflows, tools, and implementation lessons.
Deliverables: Facilitated Monthly Sessions, Shared Resources & Peer Network
View current groups and membershipWe focus on construction, manufacturing, and distribution—industries where decisions made in documents and systems shape real work on job sites, plant floors, in warehouses, and out in the field.
Construction
Preconstruction through turnover: estimating and bids, takeoffs, submittals, and RFIs (requests for information), field documentation, closeout.
Manufacturing
Quote request through shipment: quoting, bill of materials and drawing review, production planning, quality, and traceability.
Distribution
Demand through delivery: purchasing, quotes and order entry, warehouse operations, invoicing, and returns.
No. Bring a business goal, a capability gap, or an operational bottleneck. Finding the use cases worth doing is a step on our path—and we run it with you.
No. We assess what exists, identify material gaps, and choose a starting point that can be tested responsibly.
Both—usually in that order. You can enter at any point, but education first is why the rest works. Teams that understand the tools pick better problems and stay with the workflow after we leave.
Approved sources, access controls, human-review points, and ownership are defined before anything is built.
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.