The AI-native operating layer for the work that doesn't fit one app.
● CASE STUDY · ONE CUSTOMER · 30 DAYS
One record. Eight workflows. Thirty days.
This is a real Pushing Capital customer — anonymized — who came to us with a backlog of life-admin and business-stand-up work that had been stuck for months across a dozen apps and vendors. Within 30 days, the unified customer record we built let us execute eight high-value workflows in parallel. The lending outcome was the headline. The rest of the story is the model.
1
Unified customer record
8+
Parallel workflows in 30 days
NIV
Mortgage approved — no income verification
0
Times the customer had to re-explain themselves
· · Headline outcome · ·
● Lending·Days 1–4
Non-QM mortgage approved
Approved and moving through closing at competitive terms, without traditional income documentation. This is the kind of result every borrower searches for and almost no one can actually deliver — because the work to get a deal like this lender-ready crosses banks, credit bureaus, asset records, document handling, and lender intake in ways single-point tools don't own.
· · Timeline — the whole 30 days · ·
● WHAT ACTUALLY HAPPENED
Every workflow, in order.
The headline number is the marketing-friendly summary. The actual substance is the breadth. Same customer record, same operator, eight workflow families in parallel.
Intake·Day 1
Pulled the whole picture into one record
Identity, income, asset list, vehicle history, prior credit pulls, existing business interests, document drawer — all of it consolidated into a unified customer record we could actually work from. No more re-explaining the situation to every vendor.
Lending·Days 1–4
Non-QM mortgage approved
Matched the borrower profile against the lender shortlist (non-QM / NIV product — no traditional income documentation), packaged the data room from records we already had on the customer, ran intake, navigated conditions. Approved at competitive terms and clearing conditions toward close.
Vehicles · DMV·Days 2–8
Two vehicles fully cleared
Title transfers, registration renewals, smog certifications, DMV paperwork, courier logistics — both vehicles taken from messy state to current, in hand, ready. The DMV workflow is one of the most painful surfaces in the country. We took it off the customer's plate end to end.
Company·Days 3–10
Business entity formed from zero
Entity type analysis based on owner goals + tax posture. Articles filed, EIN secured, registered agent set up, initial state filings handled. The new company is operating, on the books, and bookable.
Banking · Credit·Days 5–12
Business banking and business credit opened
Business operating account live with the right card stack on top. Business credit profile established. An Amex Platinum business card approved on the new entity. Payment rails working, treasury basics handled.
Cloud · Web·Days 7–14
Website shipped, cloud infrastructure live
Google Workspace configured for the new entity. Google Cloud project provisioned with the right service accounts and billing setup. Website designed, built, and launched on that stack. From zero to a functioning operating cloud in under two weeks.
AI·Days 10–20
AI integrated into the daily workflow
Practical AI tooling installed across the customer's computer, daily workflow, and creative production process. Not a chatbot — actual integration into how the work gets done, configured around how this person actually operates.
Revenue·Days 12–28
First client closed
We didn't just stand up the business — we helped source and close the first paying client on the new entity. The company went from formation to operating revenue inside the same 30-day window.
Real estate·In flight
Property acquisition in progress
A real-estate workflow is currently in motion — sourcing, financing strategy, documentation prep — running on the same operating record that the prior eight workflows enriched. The next workflow doesn't restart intake.
· · Why it worked · ·
● THE MODEL
No single tool owns this surface.
The unified record was the unlock.
Once we had identity, finances, assets, documents, vehicles, and the new business's emerging record under one roof, every subsequent workflow inherited the prior workflow's work. The lender shortlist used the same income picture the DMV workflow built. The business credit application used the same identity pull the formation used. The website launched into the same Google Cloud project the AI tooling deployed into.
AI agents scaled the routine. Humans handled judgment.
The AI did the pattern matching, document parsing, eligibility analysis, and first-draft outputs. The operator handled the lender conversation, the DMV courier, the bank rep, the partner-vendor coordination. Neither tier alone would have produced this outcome in 30 days; both together, running off the same record, did.
Workflows ran in parallel, not in series.
A traditional service provider would have run the loan, then the formation, then the banking, then the website, then the AI integration — sequentially, with handoffs between specialists who don't share data. We ran them in parallel because the operating record made the parallelism possible.
The record persists. The next workflow won't restart intake.
The real estate workflow currently in motion — sourcing, financing strategy, document prep — is running on the same record the prior eight workflows already enriched. The customer doesn't resend documents. Doesn't re-explain the situation. The work that's already done stays done.
● YOUR TURN
Bring us the work that's been stuck.
Most customers come to us with a single problem and discover, three workflows in, that everything else they were carrying could ride on the same record. Tell us the work, the timeline, and the records you already have. We'll take it from there.