Issue001
VolumeQ2 · 2026
SubjectForward-deployed AI
LocaleCharleston, SC
01/Forward-deployed AI Engineering

Every businessruns on systemsthat were never designedto think.

Brief

We embed with your team and build production AI into your operation. Connected to your existing tools. Tested against your real data. Running in weeks — not quarters.

Deployed inHealthcare · Home Services · Financial Services
First system live5 business days
Migrations requiredZero
02/By the numbers
Q1 — Q2 / 2026
0%
of AI projects fail. Ours don't.
MIT · 2025
0%
end-user adoption rate
across deployments
0 days
average to first system in production
weeks 1–2
0
migrations required
we ship on your stack
03/The Problem

Disconnected systems.Undocumented processes.Manual everything.

The gap between your software and your operation is filled by your team — manually, every day. We close it with engineering, not vibes.

01Failure mode

Systems that don't share data

Your tools each hold a piece of the picture. Your team stitches them together by hand. Every handoff is a failure point.

7 SaaS tools, avg.3.4 handoffs per workflow
02Failure mode

Institutional knowledge with no backup

The person who knows every exception, every workaround, every rule. That knowledge isn't documented. It's one resignation away from gone.

100% in one head0 written rules
03Failure mode

Generic tools that miss the specifics

Off-the-shelf AI handles the general case. Your business runs on the specific case. Generic doesn't cut it.

80% generic fit20% breaks the model
04/How we work

Discovery. Architecture. Deployment. Optimization.

01 / 05
30 minutes

Discovery

What the business does. Where time goes. What breaks. No pitch.

Deliverable
Honest read
02 / 05
Week 1

Map

We document how work actually moves. The systems, the handoffs, the logic everyone just knows.

Deliverable
Operating model
03 / 05
Weeks 2–3

Build

Production system on your real tools. Hard rules around everything that has to be right every time. AI handles the rest.

Deliverable
Shipping system
04 / 05
Week 3–4

Prove

Real data. Real test cases. Real accuracy numbers. The system earns its place before anyone trusts it.

Deliverable
Evidence package
05 / 05
Ongoing

Evolve

New workflows come online. The system gets smarter. We stay embedded until the operation runs itself.

Deliverable
Embedded partner
05/What we deploy

Production AI across your entire operation.

Flagship01

AI Products

Full applications built for your operation. You own them — code, weights, data, everything.

  • Custom UI on your domain
  • Yours to extend
  • Source delivered
Module02

Process Systems

End-to-end workflows across your existing tools. No migrations.

  • Salesforce → Slack → Snowflake
  • Zapier-replacement at scale
Module03

Decision Support

Your data surfaced as answers, not dashboards.

  • Natural-language ops queries
  • Citations baked in
Module04

Customer Operations

Phone, text, email, scheduling — handled by AI, overseen by humans.

  • Voice agents · 24/7
  • Human-escalation built-in
Module05

Compliance-Grade

HIPAA, SEC, PCI. Built in from day one. Audit logs by default.

  • BAA-ready
  • Region-pinned data
Module06

Business Logic Encoding

The rules in your team's heads, structured so AI can reason with them.

  • Decision tables
  • Versioned policy
06/Engagement models
3 ways to start · pick one

Engagement models.

Sprint

One workflow. Two weeks. You own everything.

$5Kone-time
  • Single workflow target
  • Connected to your existing tools
  • Tested against real scenarios
  • Your team trained on it

Embedded

★ Most common

Your AI engineer. Embedded in your operation. Building every month.

$10–15Kper month
  • Dedicated engineer (15–25 hrs/wk)
  • Multiple workflows in parallel
  • Direct access via Slack or phone
  • Monthly results reporting
  • Continuous expansion

Product Build

You have the domain expertise. We build the product.

$15–25Kper month
  • Full-stack product engineering
  • Product strategy + technical execution
  • Production deployment
  • Equity alignment available
  • Ship 5–10× faster
07/Founder
David Moore — Founder & CEO, Xcelerate Digital
NameDavid MooreRoleFounder · CEO

I don't make slide decks about what AI could do. I sit down with your team Monday — by Friday you have a working system.

01
Dozens
Production AI platforms shipped from zero
02
5+
Years of enterprise experience at Adobe
03
DAILY
Ships production code with Claude Code & Codex
“The era of selling AI is over. The work now is putting it on the floor of a real business and making it earn its keep. That's what we do.”
David Moore/ Founder & CEO/ Summerville, SC
08/The deployment era

The deployment era just started. We've been building for it.

This year, the largest AI labs each launched billion-dollar deployment companies. Same thesis: the models are ready. Businesses need engineers who can put AI into their operations.

Their partners chase Fortune 500 contracts. We deploy inside the businesses that run Charleston. Same discipline. Different zip code.

The labsChase F500
The partnersSell decks
UsShip Friday
09/Book a discovery call

One workflow. Two weeks. Then you'll see it.

30 minutes. No pitch. Just an honest read on whether AI moves the needle for your operation.

Accepting3 new clients · Q2 ’26
First call30 min · no pitch
First system liveWithin 14 days