Most AI consulting teaches you tools. We build the architecture underneath them — the system that knows who you are, what matters, and how you actually work. Then AI starts doing the work you meant to do.
80% of enterprise AI seats go dormant within weeks. Not because the tools are bad. Because nobody built the foundation underneath them.
The leaders getting value from AI aren't the ones who learned the most prompts. They're the ones whose AI knows who they are, what they're working on, and how they actually think — before the first prompt is ever typed.
That's what we build. Not training. Not templates. Not prompt libraries. An architecture that makes AI useful from the first conversation — and keeps getting smarter as your work accumulates inside it.
The pain is different. The destination is the same: an AI environment that knows you, a team that actually uses it, and the capacity to think clearly with AI as a partner.
Ten-plus years of accumulated files, emails across five inboxes, scattered Claude projects, orphaned ChatGPT conversations, 260-page transcripts nobody can find. AI-curious but overwhelmed by the chaos AI helped create.
You leave with an organized foundation and an AI that finally knows what it's looking at.
Hearing about Claude Code, AI agents, persistent context, MCP. You don't want to create more chaos figuring it out alone. You want someone who has already built this at depth to build it once, right, for the way you actually work.
You leave with a personal AI architecture you didn't have to reverse-engineer.
Your team has Copilot, ChatGPT Enterprise, or Claude licenses. Adoption is stuck around 20%. Nobody can articulate why. We don't train your team on AI — we figure out why they're not using what they already have, and build the foundation that makes it stick.
You leave with a team that chooses AI, not one that has to be pushed.
These aren't marketing positioning. They're the operating practices that produce the "this wasn't like any AI consultant I've worked with" reaction — before we've ever named a framework.
They understood my business before configuring anything.
Two to four hours of intake before Session 1. Who your team is, what you're actually building, which relationships are load-bearing, where the friction lives. The AI system gets built from that understanding — not from a template.
It already knows me.
The intake compresses into a persistent context file the AI reads on every conversation. Your methodology, your voice, your priorities, your preferences. Most clients experience a visceral "wait, it knows me" moment in the first five minutes of Session 1. That moment is engineered, not accidental.
They designed for Brad's skepticism, not around it.
Every team has a Champion, a Controller, a Practitioner, an Explorer. Each one needs a different entry point. We design per-person environments that match how each person actually works — not a one-size-fits-all rollout that loses 80% of users in weeks.
Six months later, it's still getting smarter.
Traditional consulting delivers, invoices, leaves. Your AI environment is architected to accumulate — every meeting note, every decision, every correction feeds back into context. What took an hour to explain in month one takes a sentence in month six.
They asked me questions I hadn't asked myself.
Twenty-five years of leading organizations, teaching leaders, and sitting with people navigating real decisions means we know the questions underneath the questions. You came with an AI problem. You leave with a clearer sense of what you're actually trying to build.
Every WILD×AI engagement, tool, and system design is guided by these. They're not marketing positioning. They're operating constraints.
Never outsource judgment, direction-setting, or meaning-making to AI.
AI makes strong navigators stronger. It can't create navigation capability from scratch.
The best AI tools are useless without human wisdom about when, why, and how to apply them.
Before asking "How can AI help?" ask "Who are we and what matters?"
WILD×AI should increase your agency, not your dependence.
Most "AI consulting" teaches prompt libraries for ChatGPT. We build full system architectures inside Anthropic's practitioner stack — the tools most professionals haven't discovered yet.
We chose Claude because Claude is the frontier model we know deepest. We integrate with whatever tools your context actually demands, but our default architecture lives on the infrastructure below.
AI grounded in who you actually are - not who generic prompts assume you are. Projects keep context consistent, instructions precise, and outputs recognizably yours.
Agents, sub-agents, skills - assembled like software, not prompted like toys. Where AI stops being a chat window and starts being an operating system.
Connects Claude to your real work systems instead of a separate universe. We build MCP servers that make your AI actually aware of your calendar, your vault, your data.
We build skills the way engineers write functions - composable, specific, testable. Each skill is a defined practice the AI can invoke with precision.
Evaluative lenses, orchestration patterns, multi-agent workflows. Systems that hold together at the edge cases where single-agent setups fall apart.
Personal vaults, knowledge graphs, semantic retrieval. The infrastructure that turns AI from search box into thinking partner.
From recent engagements with a knowledge-work business and an independent practitioner. Anonymized. Specific.
Investment research methodology catalogued in minutes — work that would have taken weeks manually. The AI had the client's framework loaded from Session 1 context, so it didn't need to learn; it just listened and organized.
A decade of accumulated mail across multiple providers, consolidated into one navigable system. The filing isn't by date or sender — it's by which relationships and commitments are actually live.
Six file locations, 4 dormant AI subscriptions, no persistent context — to a single navigable workspace with an AI that knows the business. Most consulting engagements are still scoping at week two.
How to build an AI system that develops your capacity, not replaces it.
Most AI guidance teaches you prompts. This one teaches you the underlying system architecture — so you stop rebuilding from scratch every time the tools change.
Written for individuals who want AI as a thinking partner, not a productivity crutch. Walks you through the self-assessment, the architecture template (Claude Projects + Skills + MCP-ready), the five WILD×AI principles applied to specific decisions, and the build order that actually works. Free. No upsell.
Sent. Check your inbox - it's on its way.
Every engagement follows the same arc: Foundation first (get the chaos organized), Intelligence next (build the tools that know your domain), Navigation last (develop the capacity to think clearly with AI as a partner). You enter wherever you are. Most clients move through at least two layers.
Organize the chaos. Build the base layer. Get AI that actually knows you.
Deep intake. Personalized context document. One environment, one place, one AI that reads it all. Platform guidance across Claude, Claude Code, ChatGPT. Email, file, and workflow triage. Privacy and security architecture. You leave with the foundation most consulting firms skip.
ForIndividuals overwhelmed by accumulated AI chaos. People who want it done right the first time without figuring it out alone.
Tools that understand your work. Per-person environments for your team.
Everything in Foundation, plus domain-specific tools: investment analysis, financial reporting, document drafting, knowledge harvesting. Cross-system integration. Workflow automation for the tasks that eat your day. Team enablement with per-person 1:1 sessions designed for each role.
ForBusiness owners, team leaders, department heads, family offices, independent practices. Anyone whose team needs AI tuned to what they actually do.
For people who refuse to separate their work life from their actual life.
Foundation and Intelligence across both domains at once, with the door open to Navigation advisory. Your family system, your business system, and your personal practice share the same operating logic. The full arc, scoped as one engagement, because your life isn't actually compartmentalized.
ForFounders whose businesses and lives are inseparable. Parents running companies. Anyone who suspects their work life and home life should be using the same operating system.
Chris Greene is a tenured professor of innovation, creativity, and entrepreneurship, IBM AI Practitioner, and daily builder inside the Claude ecosystem. Andrea Greene brings twenty years of organizational leadership including Fortune 50 HR experience at The Home Depot. Together they built and operated Colorado's highest-rated boutique inn for fifteen years, then built and sold a concierge hospitality company on the strength of the system alone.
The WILD framework - Wisdom, Intention, Leadership, Discovery - is what emerged from twenty-five years of navigating without maps. WILD×AI is where that framework meets artificial intelligence, on human terms.
Inside the Claude ecosystem. Daily practice since launch.
AI Practitioner + Enterprise Design Thinking.
Building human systems that work - commercial, educational, personal.
Keynotes, classes, and practitioner workshops on AI and WILD Intelligence.
No pitch deck. No discovery call script. Just a few questions about what you're navigating - and our personal response within 48 hours.
Begin a ConversationOr email directly: [email protected]