Ground. Build. Enable.

EC3 embeds with your team to make the company AI-first — safely, and fast. Set the rails, ship the high-value systems, and leave your people able to build and deploy on their own. Every engagement starts with an honest diagnosis, including whether EC3 is the right call.

01 / GROUND
Safe to move fast
Tools, approvals, guardrails, security.

Before anyone moves fast, the rails have to exist. EC3 puts the right tools, approvals, access controls, and security in place so your people can go AI-first without exposing the company — governance that satisfies risk without grinding teams to a halt.

What's included
  • The right AI tools, selected and configured for your stack
  • Approvals and access controls that fit how you actually work
  • Guardrails, security, and clear data boundaries
  • Governance and policy that satisfies risk and legal
  • POC evaluation — what's production-ready, what's still a demo
  • Build vs. buy vs. configure decisions on real use cases
Deliverable
A company that can adopt AI fast — without a security or compliance fire.
02 / BUILD
High-value systems, fast
Forward-deployed. AI-accelerated.

Forward-deployed, AI-accelerated delivery of the systems that actually move the needle. Targeted builds that earn their keep — agents, automation, retrieval, integrations — built in real environments with real security and real users, then handed off so they don't stall the moment EC3 leaves.

What's included
  • Custom AI agents and intelligent automation
  • Workflow integrations across your existing stack
  • Data retrieval and RAG pipelines for your context
  • Hosting, orchestration, monitoring, cost management
  • Targeted scope — weeks, not year-long projects
  • Documentation, recorded walkthrough, 30-day support
Deliverable
A system your team can run — including where it lives, what it costs, and what happens when it breaks.
Working stack
Claude Code n8n Vercel Cloudflare
03 / ENABLE
Your team builds & deploys
Exec → IC. 4,000+ trained.

The real win is a team that doesn't need EC3. Hands-on enablement inside your real workflows teaches your people to build, ship, and govern AI themselves — executive framing for leadership, practical workshops for teams, and builder programs for the people who'll own it.

What's included
  • Executive sessions — invest, wait, or skip framing
  • Manager and ops workshops on real workflows
  • Builder programs — teaching your people to build and deploy safely
  • Internal-builder identification — finding the talent already in your org, in any function
  • General workforce — daily AI fluency
  • Customer Success org AI integration — where EC3 goes deep
Deliverable
A workforce that uses AI differently afterward — and internal capability that outlasts the engagement.
Full training details →
How it works

From first call to something real.

01
Honest diagnosis
30 minutes. No deck, no pitch. EC3 wants to understand the actual problem, where you've been stuck, and what success looks like. If it's not the right fit or AI isn't the right answer, that gets said clearly.
02
Scoped proposal
Fixed-fee, fixed-scope. You know exactly what you're getting, what it costs, and what the outcome looks like before anything begins.
03
Embed, ground, and ship
EC3 works inside your environment with your data and constraints — setting the guardrails, building the high-value systems, and training your people as it goes. Adoption is designed in from day one. Most engagements run 2–5 weeks.
04
You own everything
Full documentation, recorded walkthrough, 30-day support window. Your team runs it, maintains it, and builds on it. The goal is capability — not dependency on an outside consultant.