Now booking · next kickoff in ~2 weeks 4–6 week engagements

Your AI is only as useful as the data it can reach.

Your team already has ChatGPT, Claude, or Copilot. But it can’t actually see what’s happening in your business — the orders, the ad spend, the support tickets, the subscriptions.

We connect your apps, pull the data into one clean place, and make it usable.

No warehouse rebuild. No nine-month project.

No prep · no slides 30-min working session Walk away with a clear plan

Not ready to talk? Get a priority map by email → No call · 48-hour turnaround

What we do, at a glance
YOUR APPS ONE CLEAN FOUNDATION FINALLY USABLE Shopify orders Klaviyo email Meta Ads ad spend Gorgias support Stripe payments Your data foundation organized · clean · ready to use raw data — kept safe ready-to-use tables one source of truth AI assistants that know your business Weekly reports numbers everyone agrees on Automations running on real data
Why pipelines · the analogy

AI is the car. Your data pipelines are the roads.

A brand-new car is useless if it can only drive on a handful of pre-paved highways. That's what off-the-shelf AI gives you: twenty supported connectors, maybe thirty — and nothing for the system of record that actually runs your business.

A pipeline is the road network. We lay the roads from your apps, your databases, your spreadsheets, your internal tools — into one place you own. Now the car can actually go somewhere. And you're not at the mercy of whether ChatGPT or Claude decides to support your stack next quarter.

Off-the-shelf AI · 3 exits

The car with a tiny highway.

Whatever's in the vendor's connector list, and nothing else. Your business lives somewhere off the map.

GDRIVE GMAIL NOTION your CRM (unreachable) your orders DB (unreachable) support tickets (unreachable) ad platforms (unreachable)
Your pipeline · the whole map

The car with actual roads — to everywhere you do business.

CRM, orders, tickets, ads, billing, your internal DB, that one spreadsheet. All reachable. All owned by you.

YOUR PIPELINE CRM Ad platforms Orders DB Billing Support tickets Internal DB Spreadsheets Internal tools
The missing piece You can't buy this off the counter. Every business has different apps, different data, and different questions worth answering. A pipeline has to be built — once — to fit you. Then it keeps working, quietly, for everyone on the team.
Built at scale for
The same pipeline pattern, shipped for one of the fastest-growing e-commerce businesses in the world, multiple real-estate companies, and medical institutions. Nearly every business has this need — they just haven't named it yet.
Top-growth e-commerce

Shopify, Klaviyo, Meta, Stripe, NetSuite, and Gorgias into one foundation — feeding daily ops reports and AI assistants that finally know the orders, the spend, and the support volume.

Real estate

MLS feeds, brokerage CRMs, transaction management, and finance into a single AI assistant for portfolio queries, deal-stage reporting, and agent performance.

Medical & health

EHR exports, scheduling, and billing into one operational view for a multi-site clinic — same numbers across every location, no more reconciling spreadsheets.

Internal tools

Legacy databases, SFTP drops, and bespoke internal APIs translated into a clean data layer your AI and reports can both read — without rewriting the underlying systems.

01The Problem

The problem isn't AI. It's that your AI can't see your business.

Your business runs across a dozen apps. Orders in one place, ads in another, support somewhere else, finance on its own island. AI can't help answer the questions that matter because nobody has connected the dots.

Before

A tangle of apps. No one in charge.

Every app has a slice of the truth. Nothing talks to anything. Your AI is guessing, your team is exporting CSVs, and meetings turn into debates about whose number is right.

Shopify Meta Ads Klaviyo Gorgias Stripe NetSuite Recharge AI ?
After

One clean foundation. Every tool works from it.

Your apps flow into one organized place. Your AI sees the whole business. Reports match. Automations run on real data. Your team stops arguing about which dashboard to trust.

Shopify Klaviyo Meta Ads Gorgias Stripe NetSuite Foundation clean · organized AI (✓ sees all) Reports Automations
  • 01

    Generic AI answers

    It sounds smart. It's guessing. Because it can't see your business.

  • 02

    The human spreadsheet

    Someone on your team exports, copies, pastes, vlookups. Every week. They're tired.

  • 03

    Numbers don't match

    Four dashboards, four versions of yesterday's revenue. Meetings turn into debates.

  • 04

    Slack-thread sprawl

    Finance asks ops, ops asks growth, growth asks the analyst — who's on PTO.

  • 05

    Trust gap

    AI makes up numbers. Your team stops using it. You're paying for licenses nobody opens.

The gap nobody's filling: Copilot, ChatGPT Enterprise, Claude for Work — they're built for your documents and chats. None of them plug into the apps that actually run your business. That's the gap. That's what we build.

02The offer

One fixed package. Crystal-clear.

No "it depends." No discovery retainer. Here's exactly what you get, what it costs, and what it runs on. Keep scrolling for the details, the timeline, and the FAQ.

The Package · 4–6 weeks

Your operational data, connected and ready for AI.

Your systems of record, pulled together into one clean, production-grade data foundation in your own AWS account. You own all of it.

Starting at $15,000 one-time build

Most engagements land between $15K and $30K depending on stack complexity, number of sources, and reporting depth. We give you a fixed quote after the walkthrough — no creep, no "it depends."

Our promise. If we can't connect your three priority systems by the end of week 2, you get a full refund — no questions, no clawback on what we've shipped.
What you get
Deliverables
  • 10 data sources connected — your CRM, billing, support, ads, ops tools, finance
  • 5 reports & dashboards built to your priority questions
  • 1 production-grade workflow — AI assistant, finance/ops automation, or weekly leadership report (your call)
  • Source code, schemas, and docs in a Git repo you control
Where it runs
  • Your AWS account. No vendor cloud, no SaaS dashboard. You own the storage, credentials, and access.
  • Best-in-class data stack — the same tooling serious data teams use, AI-ready out of the box (Claude, ChatGPT, Copilot, or your own model).
After launch
  • 30 days of support included — we stay on until it's humming.
  • Optional $2,500/mo retainer if you want us keeping pace with new sources, reports, and broken-API fixes (most clients add this).
You own everything. No seat fees. No data hostage. Walk away any time and it keeps running.
03What we connect

Whatever runs your business — we connect it.

Every business has its own operational stack. Here's a cross-section: CRMs, billing, support, ads, ops tools, finance. If your system has an API or a database, we can connect it. If we haven't seen yours, we'll build a custom connection in a week or two.

Salesforce · HubSpot · Pipedrive

Your pipeline — every deal, every contact, every stage, every touchpoint that got them there.

pipelinedealsactivityforecast
Stripe · Chargebee · QuickBooks

What actually hit your bank. Invoices, payments, MRR, failed charges, refunds — the finance ground-truth.

revenueMRRARpayouts
Google · Meta · LinkedIn Ads

What you're spending to acquire customers, by campaign, by day — and which ones actually paid off.

spendCACleadsROAS
Zendesk · Intercom · Freshdesk

Every ticket and conversation — what it was about, how fast you solved it, what's trending this week.

ticketstopicsCSATSLA
Jira · Asana · Linear · Monday

What your team is working on, what's on time, what's slipping, where the bottlenecks actually are.

projectsvelocitySLAcycle time
Your product's own database

Usage, feature adoption, who's active, who's quiet, which accounts are showing churn signals.

usageengagementchurn risk
NetSuite · Sage · Xero

Your ERP. Real margins, real close numbers, real cash position — what the CFO cares about.

GLmargincashclose
Shopify · NetSuite · WMS · your ops stack

For commerce and operational businesses — orders, inventory, fulfillment, supply chain, the physical side.

ordersinventoryfulfillment

If it has an API, we can probably connect to it.

The logos above aren’t the whole list — pretty much every modern business tool has an API, and we’ve built custom connectors across nearly every category. If we haven’t seen your app, give us a week or two. Older systems usually have a path too: database exports, webhooks, SFTP drops, or a thin wrapper we write for you.

REST APIs GraphQL Webhooks Direct DB SFTP / files Custom wrappers
04How it works

Connect your apps. Pull the data together. Make it usable.

No giant rebuild. No nine-month project. A focused four-to-six week engagement with visible progress every single week.

STEP 01

We listen

What questions are you tired of asking? What numbers take a week to get? We work backwards from there.

STEP 02

We connect

Real, reliable connections to the apps that run your business. No screenshots, no scraping, no one exporting CSVs.

STEP 03

We organize

Your data, cleaned up, in one place. Everyone working from the same definitions. No more "which number is right?"

STEP 04

We activate

Wire it into your AI, reporting and automations. Plus ship two or three real workflows you can use on day one.

05Real examples

Once your data's in one place, you can finally get real answers.

These are real questions we hear every week from business owners. Once the plumbing is there, any of them takes seconds instead of days.

You Why did our customer acquisition cost jump last month?
Your AI, now grounded CAC went from $180 to $240 in March. Paid spend across Google and LinkedIn was up 22%, but qualified pipeline from those channels only grew 4%. The drop is concentrated in one campaign — Enterprise Q1 Retarget — where cost-per-qualified-lead doubled. Outbound-sourced CAC held steady.
Sources HubSpot · Google Ads · LinkedIn Ads · Stripe
You Which accounts are showing churn signals this month?
Your AI, now grounded Seven accounts worth $184k in ARR are flashing yellow — usage down more than 30% over 60 days, support tickets trending up, and their champion hasn't logged in for two weeks. Three are up for renewal in the next 45 days. Two have CSM meetings scheduled; the other five are unowned. Want me to draft the outreach?
Sources Salesforce · your product DB · Zendesk
You Which parts of the business are running hot — and which aren't?
Your AI, now grounded Implementation team: 94% utilization, four weeks behind — needs relief. Support: tickets on one product area are 2× the average, 60% are "how do I use this?" — an onboarding gap, not a bug. Sales: pipeline coverage is healthy, but enterprise-deal conversion slipped 8 points.
Sources Jira · Zendesk · HubSpot · your HRIS
You Give me a clean picture of the business this month.
Your AI, now grounded Revenue is $2.14M MTD, tracking +8% vs. plan. New logos: 12 (plan 15). Net retention: 108%. CAC drifted up 9% — mostly paid spend. Gross margin held at 74%. Biggest risk: three enterprise renewals in the next 30 days at a combined $112k ARR. Biggest tailwind: product-qualified leads up 31% after last month's release.
Sources Salesforce · Stripe · NetSuite · product DB · Google Ads
06The difference

A week in your business, both ways.

The same questions come up every week. Here's what they look like without a data foundation — and with one.

Without a data foundation
With one
Monday morning number
Your ops lead exports four CSVs, reconciles them in a sheet, sends it at 11am. It disagrees with the one finance sent earlier.
Auto-generated Monday report hits your inbox at 7am. Same numbers every team is looking at. No one prepped it.
A question from the CEO
Slack thread. Four people loop in. The analyst is on PTO. You get an answer Thursday, caveated.
You type the question. You get an answer in under a minute, with the sources shown.
Your AI tools
Great at writing emails. Useless for running the business. Your team quietly stopped opening them.
Actually knows your orders, ad spend, subs, support. Pulls real numbers with real citations.
Automations
Run on screenshots and luck. Break silently. Someone discovers it a month later.
Run on the same clean data your reports use. You get alerted the minute something goes sideways.
Onboarding a new hire
"Here are the 12 tools. Good luck figuring out which numbers to trust." Takes them a month to be useful.
One clean view. One set of numbers. They're contributing in week one.
Seeing yourself on the left side of that picture?

Most businesses we talk to are one week of setup away from the right side.

07What you get

Practical, usable, yours. Nothing fancy for fancy's sake.

Here's exactly what you walk away with after a four-to-six week engagement. No surprises.

01

A priority map of your stack

The apps and data worth tackling first, ranked by impact and effort. You approve it before we build anything.

02

Working connections to your apps

Live, reliable links to the systems that matter. Automatic. Monitored. No one on your team is copy-pasting anything.

03

Your data, in one place

Raw data kept safe, cleaned-up data ready to use. You own it. You can query it. Your team can trust it.

04

Agreed-upon definitions

What counts as a "new customer"? An "active subscription"? We lock it down so every team uses the same numbers.

05

Alerts when something breaks

You know before your team does if a source is down or data is going stale. No silent failures, no Monday surprises.

06

Plain-English documentation

What's connected, what the numbers mean, what the gaps are. Written for humans.

07

Two or three real workflows, shipped

A weekly leadership report. An AI assistant wired to your data. A finance automation. Your call — but you're seeing value before we're done.

08

A plan for what's next

Optional retainer: more apps, more use cases, more automations. Your foundation keeps paying off as you grow.

08Timeline

Four to six weeks, with real progress every week.

No black box. No giant discovery doc. You see working data and real results inside the first two weeks — and check in with us every step.

Phase
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Plan
priority map
Listen + plan
Connect
your apps
Build
Build
Test
Organize
clean it up
Model
Model
Review
Activate
ship workflows
Wire
Ship
Handoff
09Where this gets you

Most businesses are on rung two. This gets you to rung four.

Here's the honest ladder of data maturity. Your AI's ceiling is set by which rung you're on.

1

The spreadsheet era

Every number lives in an export. Nothing's connected. Monthly reports take a week.

Behind
2

Dashboards per tool

Shopify dashboard, Meta dashboard, Klaviyo dashboard. They don't agree. AI is decoration.

You are here
3

Reporting tool patched on top

You bought Looker or similar. Some numbers match. Brittle. One person understands it.

Common
4

A real data foundation

One clean source of truth. AI, reports, and automations all work from it. New questions get answered in minutes.

Where we take you
5

Predictive & proactive

Your data doesn't just answer — it warns. Churn, inventory, spend, staffing. Decisions before problems.

What's next
10Is this for you?

Built for business owners who know AI matters — but know their data is a mess.

This is for you if...

  • Your business runs on a growing pile of SaaS apps.
  • You're doing real volume — real orders, real customers, real revenue.
  • You want AI that actually knows your business, not the internet.
  • Your team is tired of copy-paste work and arguing about whose number is right.
  • You want a practical start — not a nine-month rebuild before anything's useful.

This probably isn't for you if...

  • You just want a chatbot glued onto your FAQ page.
  • Your key tools have no exports or integrations at all.
  • You're pre-revenue and aren't sure what data you'll need yet.
  • You want everything modeled perfectly before showing anyone a result.
11Why now

Everyone bought AI. Almost nobody's fed it real data yet.

Your competitors bought the same tools you did. Whoever gets their data in order first wins.

now 6 months 18 months value wait 12 months Start now compounding lead

The businesses that connect their data now get way more value from the AI they already pay for. They make decisions faster. They run a tighter operation. And they keep pulling ahead as they add more apps to the same foundation.

This window closes over the next eighteen months. Everyone figures it out eventually. But the ones who start now have a compounding lead — every app connected makes the next one faster, every clean number makes the next answer sharper.

This isn't fake urgency. It's just math. The earlier you start, the bigger the lead.

12Who's behind this

The person you'd actually be working with. Just one.

No sales rep, no junior implementer, no offshore handoff. You email me, you get me on the call, you work with me end-to-end.

Hunter Sneed, founder of Pipelines for AI
Hunter Sneed Founder · Pipelines for AI · LinkedIn ↗

For the last decade I've built data infrastructure for businesses that can't afford for it to break — Fortune 500 financial services, top-growth ecom, healthcare, and real-estate operators. I've shipped 100+ production systems and the pipelines I've designed move tens of millions of dollars in transactions every month. Pipelines for AI is where I take that same pattern — same rigor, same boring reliability — and adapt it for businesses that don't have a 50-person data team.

10+ yrsbuilding production data systems
100+production pipelines shipped
$10M+/moin transactions flowing through systems I've built
AWS-certified, incl. Solutions Architect Professional

I also publish what I'm building — 3,000+ on the automation tips email list and 3,000+ YouTube subscribers watching the builds in public.

Build for failure. Documentation is part of the deliverable. Real systems teach real lessons. If you'd rather work with someone who's done this in production than someone selling a course about it, that's the bet I'm asking you to make.

13FAQ

The questions buyers email us — before they book.

Short answers to the things people stall on. If yours isn't here, just ask on the call.

Where does our data actually live?

In your own AWS account, in a region you choose. We never copy your data into a vendor cloud, a SaaS dashboard, or our infrastructure. You own the storage, the warehouse, the credentials, and the access controls. We deploy into your account and hand you the keys.

Who owns the code and infrastructure when the engagement ends?

You do. Every line of code, every Terraform/IaC config, every credential, every connector — yours, in a repo you control. We don't keep proprietary "secret sauce" you can't see. If we got hit by a bus tomorrow, your foundation keeps running and any competent data engineer can take it over.

What if you get hit by a bus?

Three things protect you. One: we use standard, widely-supported tooling — not bespoke frameworks only we understand. Two: you own all the source and infra (see above). Three: documentation is part of the deliverable, written for humans, so a new engineer or your in-house team can pick it up cold.

What does data security actually look like?

Encryption in transit and at rest by default. IAM-scoped credentials per source, rotated and logged. No third-party SaaS in the data path — credentials live in your secrets manager, not ours. We can also wire up your existing SSO, VPC peering, or private endpoints if your security team requires them.

Do you handle compliance — HIPAA, SOC 2, GDPR, etc.?

Because everything runs in your AWS account, your existing compliance posture extends to the data foundation. We'll architect to your control set — encryption, access logs, data residency, audit trails — and produce documentation your auditors can read. We've shipped under HIPAA-aligned and SOC 2 environments before. We're not the auditor, but we know how to build for one.

What if our key tool isn't on your supported list?

If it has an API, a database, a webhook, or even an SFTP drop — we can connect to it. If it's a true legacy system with none of those, we'll write a thin wrapper. Custom connectors typically take a week or two and are baked into the engagement.

Can we cancel partway through?

Yes. Standard terms: a 50% deposit kicks off the engagement, the balance is due at handoff. If you cancel after week 2, you keep everything we've shipped to that point — the connectors, the schemas, the docs — and we settle for time spent. If we miss our priority-systems promise (see the offer), the deposit is fully refunded.

How long until we actually see value?

Working data flowing into the foundation typically by end of week 2. First production-grade report or AI-grounding workflow live by end of week 4. Most clients pull at least one manual spreadsheet job out of someone's week before we're even done.

14Let's talk

Let's figure out where to start.

Book a 30-minute walkthrough. We'll look at your current stack together, figure out where AI is getting stuck, and map out which apps are worth connecting first. You'll leave with a clear plan — whether or not you work with us.

30 min Video call Working session

A practical walkthrough of the stack you already have.

Bring the apps, sheets, dashboards, and manual handoffs that are slowing things down. We'll map the shortest path to a useful AI interface without turning the whole business into a rebuild.

Available times Loading calendar...
01 Trace the workflow

Where data starts, where it stalls, and who fixes it by hand.

02 Pick the first layer

The fastest connection that makes AI useful instead of noisy.

03 Leave with a plan

Build sequence, rough scope, and what can wait.

Prefer email?
Tell us what apps you use and we'll send back a priority map within 48 hours. No call required.