AI Implementation Sprint

Take the audit.
Build the systems.

The Implementation Sprint takes the top 2–3 opportunities from your AI Operations Audit and ships them to production. Working systems in your tools, full documentation, your team trained, your accounts owning the keys. Two to four weeks. Fixed price. Scoped from the audit so you know what you're paying before kickoff.

Start with the Audit →Already have a spec? Scope a sprint →

2–4 weeks

Production cutover, scoped from audit

Fixed price

$5K–$12K, locked at sprint scoping

You own it

All accounts, all keys, all docs

30 days support

Post-launch tuning included

Who Qualifies

Audit-first.
Or equivalent spec.

Most clients arrive via the AI Operations Audit. The audit produces the exact spec we need to scope a sprint cleanly. About 70% of audit clients move into a sprint within two weeks of delivery.

If you already have a tight spec from another diagnostic — clear opportunities, ROI math, agreed scope — we can skip the audit and go straight to scoping. Bring the document; we'll review it on a 30-min call and either scope or recommend a focused mini-audit.

What we need from you

✓Defined scope: which 2–3 opportunities, what success looks like
✓Read access to the systems we'll build into
✓A point person on your side (you or your ops lead) for ~3 hrs/week of decisions
✓API keys / accounts (we'll guide setup if you don't have them yet)

Delivery Model

Five phases.
Twenty business days.

Same approach we use on enterprise infrastructure work, compressed and tuned for SMB scope. Daily progress visible in a shared workspace. No surprises.

Design

Days 1–2

Translate audit findings into build specs. Workflow diagrams, data models, integration points, edge cases. You sign off before anything is built.

Build

Days 3–14

Production code in your tools. n8n workflows, Claude/GPT integrations, Airtable schemas, webhook plumbing. Daily progress visible in a shared workspace.

Test

Days 12–18

End-to-end testing in a staging environment with real data shape (synthetic where needed). You watch it work before it touches production.

Train

Days 16–20

Loom training videos for every workflow. Live walkthrough with you and your ops lead. Your team owns it from day one.

Handoff

Day 20

Production cutover. All accounts and API keys in your name. 30 days of post-launch support included for tuning and edge cases.

What Gets Built

The patterns we ship
most often.

Your audit determines which 2–3 of these we actually build for you. Every pattern can be shaped to your specific tools, voice, and operational context.

Lead intake & follow-up

›Webhook on form / GBP / call
›Claude-drafted personal reply
›SMS within 5 min
›Sequenced touches at days 1/3/7
›Human takeover on reply

Estimate-to-contract handoff

›Voice/text intake from estimator
›AI-formatted PDF using your template
›Email + e-sign in under 30 min
›Auto-followup at day 2/4/7
›Conversion logged to CRM

Invoice & payment recovery

›Past-due webhook
›Branded reminder at day 3
›Direct follow-up at day 7
›Owner-flagged at day 14
›Payment link embedded throughout

Customer message routing

›Inbound email → AI categorizer
›Routed to right team member
›Suggested reply pre-drafted
›Sentiment / urgency flags
›Slack notifications

Weekly operations report

›Cron-triggered Sunday 6pm
›Pulls from CRM + invoicing + calendar APIs
›Claude synthesizes wins/risks/priorities
›Email to owner + Slack post
›Decisions surface 5–7 days earlier

Internal ops dashboard

›Single-page command deck
›Pulls live from your stack
›Custom views per role
›Refreshes on access
›Built on Airtable or similar

The Stack

Tools you can
actually own.

Three principles drive every tool choice:

▸
Your accounts, your keys. Every API key, every workflow, every database. We never hold credentials you can't reach.
▸
No proprietary glue. If we have to build wrappers around our own black-box code, you're locked in. We don't do that.
▸
Maintainable after handoff. If you can't replace us with another good builder in a week, we built the wrong thing.

Orchestration

n8n · Make · Zapier where appropriate

AI Layer

Claude (Anthropic API) · GPT-4 / 4o (OpenAI) · DALL-E / Stability for image work

Data & Storage

Airtable · Postgres / Supabase · Your existing CRM

Comms

Twilio (SMS) · Resend / SendGrid (email) · Slack API

Frontend (when needed)

Next.js · Tailwind · shadcn

Infra

Vercel · Cloudflare · Your own accounts always

Where the Methodology Comes From

Twenty years.
AI-amplified delivery.

The same playbook that powers an SMB sprint is what I've used on federal infrastructure programs ($478K), genAI ad-tech platforms (Lazaza.ai), and fintech marketplaces (Yachtly on Stripe Treasury). Smaller scope, same rigor.

See the full track record →

Scope, Timeline, Range

Three sizes.
Locked at scoping.

Final price is set at sprint scoping based on your audit. These are typical ranges so you can budget.

Focused Sprint

$5,000

2 weeks

1 production automation, full docs, 30 days support.

Best for: Single biggest opportunity from your audit.

Most Common

Standard Sprint

$8,500

3 weeks

2–3 production automations, integrated, full docs.

Best for: Most audit clients land here.

Stack Sprint

$12,000

4 weeks

3+ automations, internal dashboard, deeper integrations.

Best for: Multiple workflows touching the same data layer.

Implementation Sprint

Audit first.
Then we build.

The audit produces the spec we use to scope your sprint. Five days, $1,500 founding rate, free if we don't find at least three opportunities worth building.

Start with the AI Audit →Already have a spec? Scope a sprint

Take the audit.Build the systems.

Audit-first.Or equivalent spec.

Five phases.Twenty business days.