Agentic AI implementation

Agentic AI that works inside the real business.

We install practical AI systems around how your company actually operates—grounded in its knowledge, people, and processes.

Dynamic, Effective, Agentic AI Implementation

The thesis

The tools already work. Almost nobody has set them up.

Two independent 2025 studies say the same thing: adoption is everywhere, results are not. The gap is implementation.

95%

of organizations piloting generative AI saw zero measurable return to the P&L.

MIT / Project NANDA — State of AI in Business, 2025
21%

88% of companies now use AI, yet only 21% have redesigned a single workflow around it.

McKinsey — State of AI, November 2025

Piloting a tool is not the same as re-engineering the work. That second step is the entire job.

Start with the actual need

Two good ways to begin.

Neither is required for the other.

Applied AI · direct path

Start with the systems.

Look directly at the knowledge work, bottlenecks, and processes inside the business. A website is not required.

Start the AI conversation
Website · common first engagement

Fix the public front door.

$1,500

An optional, standalone first engagement when the current website needs work.

Get a free website read

Website quality does not determine whether a company can begin an AI Assessment or Install.

One implementation path

Start with the website or start with the systems.

Either route can lead to the same measured implementation process when there is a real opportunity. Neither depends on the other.

DirectSystems conversation
or
OptionalWebsite engagement
  1. Measure$2,500 Assessment
  2. BuildStandard Install
  3. ContinueCadence
The Standard Install

Four parts. Installed, not advised.

Not a deck of recommendations — a working setup that stays after we leave.

Repo

Brain

A markdown git repository that holds how your company actually works — your standards, your data, your context. The agents read it before they act.

Executable

Skills

Plain, in-repo instructions any agent can run: quoting, BOM validation, overnight document work. Vendor-neutral by design — swap the AI, the brain stays.

Named people

Champions

Your operators, trained in the room and handoff-tested. The system survives after the consultant leaves because someone inside owns it.

Monthly

Cadence

A measurement review and an owner one-pager every month. What got faster, what it saved, what runs next — in hours and dollars.

How to work together

Four ways in, one methodology.

Start with a free 30 minutes. The rest is priced against what it saves.

EngagementPriceCommitmentWhat you leave with
Free introFree30 minutesA straight answer on whether AI can actually move a number in your operation
Opportunity Assessment$2,500Half to full day on siteProcess inventory with baselines
The Standard InstallScoped in the assessment30–45 days, then a monthly cadenceThe Standard Install: brain, champions, first skill built with your operators in the room
The Applied AI Cohort$5k / company6 weeks · 8–10 companies per runTwo seats per company — a leader and a champion

Full offerings detail →

Latest video

AI Is Going to Create More Jobs, Not Fewer

AI is going to create more jobs, not fewer. I think it will bring us into a golden age by lowering the cost of building, taking on more of the repetitive grind, and giving human ambition more places to go.

From the Richardson Applied AI channel · no hype, no mystery

All videos →

Who’s behind it

Second-generation operations consulting — applied to the information side.

Holden Richardson builds production AI systems inside real companies. The discipline is inherited: his father re-engineered the physical operation on manufacturing floors. Richardson Applied AI re-engineers how the knowledge work flows.

More about Holden →