Now it works. The Build makes it trustworthy enough for GovCon.

Most AI governance lives in a prose charter. Prose is aspirational. The E3AI Foundation Build enforces rules as code: five PreToolUse hooks that intercept and block non-compliant actions before they execute. We proved this on ourselves first. Five weeks. $28,500. Every control proven binding before your clients see a word.

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See the AI Sprint First — $12,500 / 2 Weeks

Registered is not the same as binding.

Before we deployed this for clients, we ran E3AI on our own operation. Three of our five enforcement hooks were registered but committed non-executable. They looked active. They did nothing. A real external communication went out unintercepted.

We caught it. We fixed it. Then we built the verification protocol that proves hooks enforce, not just appear.

That protocol is now part of every Foundation Build delivery. You don’t get a charter document and a promise. You get hook output logs showing actual interception on actual actions.

This matters for GovCon. A federal prime or a BD team operating under NIST AI RMF requirements cannot accept “we have a policy.” They need evidence the policy runs. Hooks satisfy GOVERN more directly than any prose control because the log is the proof.

What the Build actually enforces

The Foundation Build installs five PreToolUse enforcement hooks, each covering one action class. These five cover the actions that create liability. Everything outside these classes runs at full speed.

External communications. No email, message, or outbound communication to a human outside your system sends without interception. The hook checks; the log records; the human approves or the action stops.

CRM and data writes. Bulk updates, field overwrites, and contact-record deletions require explicit approval. The hook fires before the write, not after.

Public content broadcast. Client-facing and public-channel content routes through a clearance check before distribution. One hook stops a lot of expensive mistakes.

Autonomous and scheduled actions. Cron jobs and agent-triggered workflows run at Stage 2 by default: report only, no autonomous writes, until you promote them. Every automation has a named kill switch.

Destructive and irreversible actions. Database drops, file overwrites, bulk deletes. Hook fires. Backup confirmed. You approve. No exceptions.

Also built in: per-task intelligence routing.

The cost-of-mistake tier for each use case sets a minimum model tier. Cheap, fast models handle low-stakes tasks. High-consequence actions route to the model that can handle the weight — you don’t have to manage this manually.

Built to the NIST AI RMF, structured to ISO/IEC 42001

During the Enterprise engagement, the charter is mapped to NIST AI Risk Management Framework or ISO 42001 controls, so the audit log answers the question the way risk and compliance want it answered. That mapping is part of the deliverable, not an add-on conversation.

Supporting layers: Empathy and Experience

Enforcement-as-hooks is the infrastructure. The supporting layers shape what the AI says within those boundaries.

Empathy: who the AI is talking to. Your key audience types each get a context stub. The AI detects the audience and loads the right framing before drafting. Federal contracting officer versus small business founder versus teaming partner: the output reflects the difference.

Experience: what the AI draws from. Your own documents are the primary source. When the AI cannot answer from your corpus, it produces a structured refusal instead of a plausible fabrication. Refusal is the feature that makes the system safe enough to put a client name on.

What the Foundation Build delivers

Enforcement layer (Weeks 1–2)

Five PreToolUse hooks: written, registered, verified executable, output-confirmed
Cost-of-mistake matrix for each use case in scope
Audit log infrastructure: initialized and path-confirmed before runtime wiring
Per-task intelligence routing: model-tier floor set per use case

Empathy and Experience layers (Weeks 2–4)

Audience context stubs for key audience types, from facilitated interviews
Audience-detection hook configured and verified
Corpus audit: client documents classified and grounded
Retrieval configuration calibrated and verified against real inputs

Runtime and handoff (Week 4–5)

All five hooks wired and verified against live actions
Pre-handoff testing: every control fired against a live action, binary pass or fail — one failure blocks the handoff
Client delivery package: Technical Architecture, Operations Manual, Training Guide, Handoff Report

Scope: Foundation vs. Enterprise

Foundation Build — $28,500 flat

For service businesses with 2–15 employees running AI on 2–3 core processes. Five enforcement hooks. Key audience coverage. Your document corpus grounded. Five weeks. No ongoing fees included.

Enterprise Build — $55,000–$75,000 scoped

For multi-team organizations or regulated industries. All five hook classes plus extended use-case coverage. NIST AI RMF mapping included. Governance structure with escalation protocol. Ten to twelve weeks. 60-day post-launch support window included. Price is scoped after the discovery call, fixed before the SOW is signed — no surprises mid-engagement.

Add-on: Business Building AI Vault

Operator answers on tap at vault.businessbuilding.ai. Included with any E3AI engagement. $29/month standalone at launch pricing.

The path from Sprint to Build

If you completed an AI Sprint with us within the last 90 days, $2,500 of the Sprint fee applies as a credit toward the Foundation Build. The Sprint gap analysis tells you exactly what the Build will address. Most Sprint clients book the Build within 30 days of receiving it.

Haven’t done the Sprint? The Foundation Build can be booked directly — the discovery call covers the same qualification conversation the Sprint was designed to surface.

Who the Build is for

The Foundation Build is the right scope if:

You’ve seen AI work — in a Sprint, a demo, or your own experimentation — and you’re ready for infrastructure you can trust with clients
You have a small team (2–15 people) running 2–3 core processes that are candidates for AI augmentation
You need the output to be auditable — you want to know what the AI said, to whom, from what source
You want the AI to sound like your business, not like the internet

The Enterprise Build is the right scope if you have multiple teams with distinct audience relationships, a compliance function, or more than three use cases.

Investment

Foundation: $28,500 flat.

33% at kickoff ($9,500). 33% at Week 3 milestone ($9,500). 33% at delivery ($9,500). The Week 3 milestone releases when the ethics charter is approved by the client — one of the most important checkpoints in the engagement, since everything downstream depends on it.

Enterprise: $55,000–$75,000 scoped.

25% at contract. 25% at Ethics/Empathy delivery. 25% at corpus go-live. 25% at final delivery.

About the builder

Twenty-five years coaching service businesses across 76 industries. Not a tech vendor — a business coach who deploys AI.

The E3AI Build starts with workshops before a hook is written: the enforcement scoping session, the audience interviews, the corpus audit. Forty-plus hours of business knowledge extracted before a single hook sees a live action. The hooks are downstream of that work — they only enforce what the scoping produced.

AI agencies give you a settings file and a policy document. That’s not enforcement. Our own controls proved the point: registered but not executable, they did nothing while looking active. The Build is what happens after you verify the difference.

Five weeks from now, your AI’s limits are code, not a document.

The Build inquiry call is 45 minutes. By the end of it, you’ll know which tier fits your business, what the engagement scope looks like, and what the first two weeks require from your team.

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