ERP systems, financial operations, and data intelligence — three specialized companies under a single umbrella, so your stack, your numbers, and your insights move as one.
Shopify says one thing. NetSuite says another. The 3PL says a third. Board meeting's Friday.
ShopifyMay rev
$4.21M
NetSuiteMay rev
$3.83M
3PLShipped
$4.04M
Mismatch
Scene 02 · Three become one
AMA
S
Systems
Suite Advisors
A
Accounting
Tech Savvy Accountants
D
Data
Data Intel Labs
We don't tackle pieces. We tackle the whole problem.
Whole problem · Whole answer
Working hours
18/24
Hours / day
Scene 03 · An 18-hour day
Three time zones. One working day.
Onshore leads with offshore depth in the Philippines and India — your work doesn't stop when your day does.
United StatesEST/PST
PhilippinesPHT
IndiaIST
Scene 04 · The reveal
Power of three. Precision of one.
That's the AMA model
What this looks like in the wild
Three case studies. Three companies in the room every time.
None of these could have been solved by a single specialty. That’s the AMA filter.
Life Sciences · Clinical Trials
Clinical Trial Financial Lifecycle
A growing biotech ran 14 active trials across 3 CROs. Finance had no real-time view of trial spend, milestone billing was reactive, and revenue recognition lagged by weeks. The board wanted live trial economics — no one team could deliver it alone.
14d → 5d
Close cycle
Real-time
Trial visibility
Zero
Audit findings
How the three came together
SA
Suite
Architected NetSuite project accounting with CRO contract integrations.
TSA
TSA
Built ASC 606 milestone revenue recognition policy and close cadence.
DIL
Data Intel
Delivered real-time trial economics dashboards with cohort cost analysis.
Growth-Stage · Fundraising Readiness
Investor & Fundraising Readiness
A Series C SaaS company was 90 days from a board-led process. Their data room was a patchwork: ARR pulled from one system, expenses from another, no defensible cohort metrics. Diligence would have shredded them.
6w → 3w
Diligence cycle
Single
Metric source of truth
Oversubscribed
Round outcome
How the three came together
SA
Suite
Cleaned systems hygiene — chart of accounts, deal-to-cash, contract structure.
TSA
TSA
Ran a diligence-grade close and built a board-ready financial package.
DIL
Data Intel
Built defensible SaaS metrics — NRR, GRR, cohort LTV, magic number, by segment.
E-commerce · Source-of-Truth
“I Don’t Trust My Numbers”
A DTC brand had Shopify, Amazon, a 3PL, and NetSuite — and four different revenue numbers each month. The CEO had stopped trusting the close pack. The board meeting was Friday. Sound familiar?