This is the unified operating document for Funding OS v2.0 — the integration of Corey Haggy's credit stacking methodology, Romel New Worlds' acquisition framework, Dr. Michael Barton's Acquire.AI™ platform, and the MMA Boardroom curriculum into a single end-to-end system that takes a client from broken credit to a closed cash-flow business.
Every client who enters Funding OS gets mapped to one of four buckets within 90 seconds of their DIF generation. The bucket determines the fulfillment path — which products they qualify for, what their 30-day credit playbook looks like, and which specific banks they're submitted to. This section is the operational playbook your fulfillment team runs daily.
A client's profile maps to exactly one bucket. The bucket maps to exactly one fulfillment path. Mis-bucketing produces refunds; accurate bucketing produces close rates. This is the single most important classification your team makes.
Path: CDFI pre-application prep → business plan drafting → credit repair via permissible purpose → 90-day credit rebuild using Kikoff + Credit Strong + BoomPay stack.
Path: Amex Business Line, Shopify Capital, PayPal Working Capital, OnDeck. Revenue-based lines of credit against bank statements — never merchant cash advances with daily payments.
Path: Stated income + household income + projected income. Credit stacking across Chase, Amex, Wells Fargo, Navy Federal, Citizens Bank, PenFed. Double-dip plays maximize card count on minimum inquiries.
Path: SBA 7(a) for business acquisitions with Bank of America as preferred lender. $200K floor, 80% financing, first-lien position. The track that unlocks the Acquisition Syndicate tier.
Certain banks permit multiple product approvals on a single hard inquiry within a 30-day window. Used correctly, this doubles the credit stacking efficiency of a single pull. Used incorrectly — wrong sequence, wrong deposit, wrong timing — it produces a surprise hard inquiry and a refund request. The fulfillment team follows these plays exactly as written and documents the bank's confirmation of the policy in the Supabase bank_policies table with a last_verified date. Re-verify every 90 days.
Allows one credit card + one line of credit on a single inquiry. Based in New Hampshire; membership open via ACC.
The sequence is fragile — skip a step and a new inquiry fires. Confirm the pre-approval flow is still active before running this play.
Pre-approval reveals eligible products. Multiple approvals chain on a single pull if applied for within the same session.
No hard inquiry to get pre-approved. Once approved, apply for additional cards through the internal portal — no new inquiries.
For Bucket 1 clients only. These products build credit history without hard inquiries and without the low-limit drag of secured cards. The order matters: revolvers first to build utilization-managed revolving history, then age accelerators to cure thin files, then the pledge loan to add installment diversity.
| Product | Type | Purpose | Cost |
|---|---|---|---|
| Kikoff | Revolving tradeline | $750 limit · reports to 3 bureaus · no credit required | $5/mo |
| Credit Strong | Secured installment loan | Reports as new positive installment · builds payment history | $15–48/mo |
| BoomPay | Rent reporting + backdate | Reports past 24 months of rent retroactively · dramatic age lift | $2–10/mo + setup |
| Rental Karma | Rent reporting | Alternative / supplementary rent reporter | $3/mo |
| Rent Reporters | Rent reporting | Reports to TransUnion · pair with BoomPay for 3-bureau coverage | ~$10/mo |
| Navy Federal pledge loan | Secured installment | Uses savings as collateral · positive installment history · low APR | Pledge + ~8% APR |
Secured credit cards (Capital One Platinum Secured, Open Sky, Credit One, Milestone, Bank of Missouri, Avant). These occupy credit profile slots with sub-$500 limits that signal "dirt" to prime lenders. When you then try to stack $50K business cards, the prime lenders see the low-quality foundation and deny. The cost of cleaning these off the profile later is higher than the cost of never adding them.
15 USC § 1681b states that no consumer reporting agency may furnish a consumer report without written authorization from the consumer. For accounts the client does not recognize or never authorized, this statute is legitimate leverage to remove them. The fulfillment team runs this protocol only after the client attests in writing that they do not recognize the disputed account — this is the compliance guardrail that keeps the OS on the right side of frivolous-dispute rules.
Act as a consumer credit lawyer. Generate a dispute letter on behalf of my client citing 15 USC § 1681b (permissible purpose). The client has not given written instructions authorizing the following accounts to be furnished on their consumer report: [LIST]. Write the letter in a firm but professional tone, request full investigation within 30 days, and include the client's attestation language that they do not recognize authorization for these accounts. Return the letter formatted for mail submission with a cover page and the three bureau addresses.
Submission is via the three online portals — never snail mail unless required by response. This is how the OS cuts dispute resolution from 45 days to 10–14 days.
| Bureau | Online Portal | Typical Resolution |
|---|---|---|
| Experian | upload.experian.com | 7–14 days |
| Equifax | myequifax.com | 10–15 days |
| TransUnion | TransUnion online dispute portal | 10–14 days |
When a client has a student loan late payment, a legitimately-filed deferment can cure subsequent payment history reporting. The fulfillment team files deferments going forward when the client qualifies for a current hardship — never backdated to fabricate a retroactive qualification. This is the compliance line: legitimate deferments filed on time are a cure; fabricated backdating is misrepresentation and creates regulatory exposure for both the client and the OS.
If a client asks you to file a deferment dated before they actually qualified for hardship, refuse and document the refusal. Your fulfillment team does not fabricate government-submitted hardship dates. The short-term client disappointment is less expensive than the long-term exposure.
Banks like Chase, Navy Federal, Citizens, and Bank of America permit combining credit card limits within the same institution. If a client has a new card with a $30K limit and a two-year-old card with a $3K limit, the $3K can be reallocated into the $30K, producing a single $33K limit without affecting average age of accounts. Run this play before any major business funding push — a thicker, older-looking profile extracts better offers.
Hi, I'd like to request a credit limit reallocation between two of my accounts. Card ending [XXXX] has a limit of [$X], and card ending [YYYY] has a limit of [$Y]. I'd like to move [$Z] from the [older/newer] card to the other, consolidating my limit. Can you walk me through that process?
Funding OS does not route to merchant cash advances, daily-payment facilities, or revenue-based advances with factor rates above 1.3x. Period. Corey's line — "stay away from MCAs for the life of you" — is embedded in the DIF prompt, the lender scorecard, and the routing engine. A client who comes in with an MCA already in place is diagnosed first (we help them get out) before we help them take anything on.
Funding is a means, not an end. A client who gets $100K funded and uses it on ads that don't convert is worse off than a client who gets $100K funded and uses it as a down payment on a $500K cash-flowing laundromat. This playbook exists to move your highest-quality clients from the funding track to the acquisition track — which is where the OS stops being a brokerage and becomes an institution.
A capital stack is the layered structure of funding sources used to close a deal. Not one source — many sources, sequenced by lien position, cost of capital, and timing. The skill is not finding money. The skill is structuring money. Here is a sample capital stack for a $550K self-storage acquisition:
Each mechanism solves a specific friction in a specific deal. Your team memorizes when to pull each lever; your clients see the outputs as a clean, simple path. The art is in matching mechanism to situation, not in showing off optionality.
When: Seller is motivated, owns the business free and clear, wants an income stream over a lump sum.
How: Seller carries the full note. You make payments to the seller instead of a bank. Terms negotiated — typically 5–10 year amortization, 5–7% interest, 10–30% down.
When: SBA or bank covers majority, but you need a gap-filler.
How: Seller takes a second-lien note for 10–25% of the purchase. SBA sits first; seller accepts lower priority in exchange for getting the deal done.
When: Seller claims high revenue but lacks documentation; valuation dispute.
How: You pay a lower upfront price, commit to top-up payment in 2–3 years if the business actually produces what the seller claimed. Aligns incentives, protects buyer.
When: Seller has a low-interest existing loan and is underwater or cash-strapped.
How: Buyer takes over the existing loan payments without refinancing. Seller gets out from under the debt; buyer inherits the low rate. Requires attorney review — some loans have due-on-sale clauses.
When: You're already managing the business for the owner; owner wants out.
How: Sweat equity counts toward down payment. Convert months of management fees into credit against purchase price. Owner gets continuity; you get the business with minimal cash out.
When: You own one business and want to acquire strategic vendors/services that increase enterprise value.
How: Use the anchor business as leverage to buy adjacent services (management, marketing, transportation). Offer equity in the combined entity instead of cash. Drives multiple arbitrage at exit.
The OS runs four channels for private lender sourcing. The first three are inbound-oriented; the fourth is outbound. Each channel feeds the Supabase private_lenders table with the lender's name, mailing address, transaction history, and average deal size. No single channel exceeds 40% of the total private lender pool — concentration risk again.
The first $50–250K comes from people who already trust you. Structured as 8–12% return, 24-month term, second or third lien. Document everything as a promissory note, never verbal.
State-by-state database of private lender transactions. Pull the list, send attorney-approved letters, invite to webinars or info sessions. Not cheap — but produces accredited lenders at scale.
Existing members of Ramel's community who have capital and are looking for deal flow. Direct introduction through the Syndicate tier. Warm by default.
247 vetted lenders in the Acquire.AI Funding Match. Institutional sources for the 60–75% portion of the stack. Paired with private money for the gap.
The single most important rule in private money: never raise capital without a deal, and never surprise a lender with a 7-day ask. Every private lender engagement starts with a minimum 60-day timeline. This gives the lender time to liquidate, consult with advisors, and commit without panic. The OS timeline:
Bank of America is the #1 SBA lender nationally and our preferred primary for the Acquisition Track. These are the operational facts your team quotes — confirmed by Mercedes Morgan, BofA Business Banking Relationship Manager.
| Parameter | Rule | Notes |
|---|---|---|
| Minimum deal size | $200,000 | Below this, SBA 7(a) is not available through BofA |
| Max financing | 80% LTV | Client brings 20% via stack (down payment, seller carry, private) |
| Lien priority | First position | All other capital must accept second or third lien |
| Auto loan LLC requirement | 4 years | New LLCs (under 4 yrs) use founder personal credit for vehicle financing |
| Citizenship | US citizen or green card | No visa-only applicants as of 2026 |
| Background check | Strict | Serious criminal history disqualifies · disclose upfront |
| Required docs | Audited financials | Unaudited tax returns alone are insufficient for seller claims |
| Funding timeline | 45+ days | Back-and-forth between buyer/seller attorneys is the primary delay |
Raising money on speculation — "I'll find a deal later" — destroys credibility with investors and creates legal exposure if you raise without proper registration. The OS enforces this: no outbound private lender pitch fires until an LOI is signed and under contract. The Acquire.AI Deal Scout produces the deal flow that qualifies the raise.
The credit union game is an intelligence advantage. NCUA.gov lists every credit union in the country, searchable by zip code. For any client, the highest-leverage question is: which credit unions in my area pull from my strongest bureau and issue business products? Before this engine, that question took a deal specialist 45 minutes of manual research per client. After this engine, it takes the DIF pipeline 90 seconds.
SCENARIO 11 · CREDIT UNION INTELLIGENCE ENGINE [Trigger] ├─ DIF generated in Scenario 01 └─ Client zip code available in Supabase deals table │ ▼ [Step 1: NCUA lookup] POST https://mapping.ncua.gov/ResearchCreditUnion.aspx BODY: { zip: "{{client.zip}}", radius: 25 } RETURNS: List of credit unions within 25 miles │ ▼ [Step 2: Per-CU enrichment loop] For each credit union returned: ├─ Claude research prompt: determine bureau pull + business product availability ├─ Check ACC eligibility (American Consumer Council membership expands reach) └─ Extract membership requirements (employer, geography, ACC, etc.) │ ▼ [Step 3: Rank + persist] Rank credit unions by: { bureau_match × business_products × ease_of_join } Write ranked list to Supabase credit_unions table Tag top 3 to the client's deal record │ ▼ [Step 4: Surface to client portal] Display in Bucket 3 clients' next-30-days playbook as specific bank submissions sequenced for maximum limits on minimum inquiries │ ▼ OUTCOME: Client sees a ranked, bureau-specific, double-dip-sequenced bank application plan in their dashboard. Fulfillment team executes.
TABLE: credit_unions id UUID PRIMARY KEY name TEXT NOT NULL charter_number TEXT UNIQUE -- from NCUA primary_bureau TEXT CHECK (primary_bureau IN ('Experian', 'Equifax', 'TransUnion')) secondary_bureau TEXT -- some CUs pull 2 business_products JSONB -- { cards: [], loc: bool, term_loan: bool, sba: bool } membership_type TEXT -- 'geographic' | 'employer' | 'ACC' | 'association' acc_eligible BOOLEAN double_dip_play TEXT -- reference to bank_policies table if applicable avg_approval_usd INTEGER -- historical from our own deal data states_served TEXT[] zip_codes TEXT[] last_verified TIMESTAMPTZ notes TEXT created_at TIMESTAMPTZ DEFAULT now() INDEX on (primary_bureau, acc_eligible) INDEX on (zip_codes) USING GIN
ACC membership (code ANDREWS, $15 lifetime at americanconsumercouncil.org) extends a client's credit union access beyond their geographic footprint. The engine flags every ACC-eligible CU in the client's bureau-match list, surfaces ACC enrollment as a $15 Day-1 action item in the client portal, and unlocks a substantially larger submission pool. This is a $15 investment that expands the approval universe by 3–8x.
Before ACC: client has access to ~6 credit unions in their zip code radius. After ACC: client has access to ~40 credit unions that accept ACC-based membership. If each CU produces a $5–15K approval on average and 30% approve, the math justifies the $15 every time. The OS pre-fills the ACC enrollment as a Day 1 step for every client.
Scenario 11 writes to the same credit_unions table that the Acquire.AI Nationwide Operations panel reads from. This means when a Dr. Barton–architected platform is deployed to an MMA Boardroom student, the student's personal credit union intelligence is surfaced in the same UI where their deal flow appears. One pane of glass, two data sources, one client outcome.
The DIF evolves from a funding-only diagnostic into a funding-plus-acquisition diagnostic. Every client now gets a bucket classification, a financial independence number, and an acquisition readiness score — turning the DIF into the gateway for both tracks.
| Field | Type | Purpose | Source |
|---|---|---|---|
| bucket_classification | 1 | 2 | 3 | 4 | Determines the fulfillment path | Haggy bucket framework |
| financial_independence_number | USD / month | Monthly passive income needed to cover stated living expenses | Romel lesson |
| acquisition_readiness_score | 0–100 | Is this client a candidate for the Syndicate tier? Separate from funding readiness. | Romel + Barton |
| recommended_banks_by_bureau | JSONB | Ranked list of banks by bureau match and product availability | Scenario 11 lookup |
| double_dip_sequence_available | string[] | Which specific double-dip plays this client qualifies for right now | Bank policy table |
| acc_enrollment_recommended | boolean | True if ACC unlocks ≥3 additional qualified credit unions | Scenario 11 lookup |
| entrepreneurship_stage | 1–5 | Self-assessed stage on Romel's psychology curve — drives follow-up cadence | Intake quiz |
A client with a funding readiness of 82 might have an acquisition readiness of 34 — they can get capital, but they're not ready to deploy it on a business purchase. The two scores decouple so the system can sell the right tier to the right client without over-promising.
Every client's Day 1 deliverable includes their FI Number. This replaces the abstract "I want to make a million dollars" with a concrete monthly target: the passive income required to cover their stated living expenses. Romel's framing: wealth is measured in time, not dollars. The FI Number shifts client psychology from "how do I get rich" to "how do I cover my life, then build from there." That shift is worth more than any specific tactic.
Three questions, no dollar range picker — let them type the number:
1. What's your total monthly living cost (housing, food, insurance, childcare, transport, debt minimums)?
2. If nothing changed financially, how many months could you survive if your income stopped tomorrow?
3. If a passive income source covered that monthly cost with 20% buffer, what would you do with your time?
Answer 1 × 1.2 = client's FI Number. The OS uses this as the north star for every recommendation.
The Syndicate tier is the terminal destination for a client on the Funding OS ladder. It transforms the $1,997 tier from "mastermind" (vague) into "deal execution syndicate" (specific). This is the tier that retains for 12+ months because the client is not consuming content — they are executing on a deal with a team.
Lifted directly from Romel's Monday–Tuesday operating rhythm. This is what makes the tier sticky: it's not a course, it's a weekly discipline. Clients don't graduate by watching — they graduate by closing.
| Day | Event | Time | Purpose |
|---|---|---|---|
| Monday | Leadership call | 8:30 AM ET | Week's targets · mindset · pipeline forecast |
| Monday | Acquisition Intensive | 12:00–1:30 PM ET | Live cold-calling · LOI submissions · real-time coaching |
| Tuesday | Core curriculum | 9:00 PM ET | Weekly topic: creative finance · due diligence · operations · etc. |
| Wed–Sun | Homework execution | Self-paced | Week 1 worksheet + pipeline updates + CRM hygiene |
| Monday | Homework gate | Before Monday call | No homework = no access. Enforces execution culture. |
The Syndicate tier's single most valuable deliverable: sourced deal flow. This is where the Acquire.AI Deal Scout meets the MMA student base. The platform continuously scans:
1M+ commercial real estate + business listings
65K+ active SMB sale listings
6M commercial property distress database
Death-triggered motivated-seller records
Property-tax-behind owner lists per county
Change-of-address data · relocation signals
WARN Act filings · public company distress
Business closing / bankruptcy / retirement mentions
The proposal from Dr. Barton to Ramel calls for MMA Boardroom to be the first white-label customer of Acquire.AI. Funding OS is the funding-and-credit layer underneath. The integrated stack presents to the client as a single branded platform — MMA-colored, MMA-logo'd, but powered by Acquire.AI infrastructure and Funding OS methodology. All three parties earn: MMA on tier subscriptions, Dr. Barton on platform license + transaction fees, Funding OS on funding commissions + credit build fees.
The number-one reason clients leave coaching and mentorship businesses is not product quality — it's that they hit the valley of despair and blame the product instead of recognizing the stage. Romel's five-stage entrepreneurial psychology curve, embedded into the OS, lets the system detect the stage and adjust the message cadence before the client churns.
Each stage gets a different follow-up cadence, tone, and CTA. A Stage 1 client needs vision and excitement. A Stage 2 client needs proof and social evidence. A Stage 4 client needs someone on the phone reminding them why they started — and that they are, in fact, on track. Generic nurture sequences treat all clients identically and lose the ones in Stage 3.
| Stage | Tone | Primary CTA | Content Type | Cadence |
|---|---|---|---|---|
| 01 · Uninformed Optimism | High-energy · aspirational | Book discovery call | Case studies · vision content | 3–5x/week |
| 02 · Informed Pessimism | Reassuring · evidence-based | Attend live class | FAQ · realistic expectations · social proof | 2x/week |
| 03 · Searching | Empathetic · direct | Human conversation | 1:1 check-in · NOT more marketing | Personal only |
| 04 · Valley of Despair | Supportive · long-game | Execute one thing | Small win celebration · micro-actions | Daily micro |
| 05 · Accomplishment | Celebratory · expanding | Upgrade tier | Testimonial request · referral program · next-deal | Weekly |
Clients in Stage 3 ("searching" — jumping to the next shiny thing) are the ones who refund. The OS flags Stage 3 the moment it's detected — via 14-day content inactivity, unsubscribe from 2+ sequences, or support ticket containing words like "change my mind," "try something else," or "cancel." The retention team gets pinged. No more marketing emails — just a human picks up the phone and asks what changed. Often, they come back when they remember why they started.
On the client portal dashboard, a lightweight 6-question self-assessment surfaces the client's current stage. The answer updates their entrepreneurship_stage field in the deals table, which re-routes their follow-up cadence in Scenario 08. The quiz takes 90 seconds and is offered monthly.
1. In the last 7 days, how often did you think "maybe I should try something different"? (0 times / 1–2 / 3–5 / daily)
2. How clear is your next action right now? (crystal clear / know the area / vague / no idea)
3. In the last 30 days, have you closed a deal or hit a specific milestone? (yes / in progress / attempted / no)
4. On a scale of 1–10, how confident are you this is the right path? (1–10)
5. What's the biggest obstacle right now? (free text · NLP flags Stage 3 markers)
6. If you could talk to one person this week, what would help most? (free text · routes to retention team)
The vision from the Dr. Barton proposal is ambitious: Acquire.AI deployed as the technology platform for MMA Boardroom. Funding OS is the third leg that makes that proposal commercially credible — because without a funding-and-credit infrastructure underneath, the Acquire.AI platform is a deal-sourcing tool with no capital-stack execution. Here's how all three stacks combine.
UNIFIED CLIENT EXPERIENCE · MMA × Acquire.AI × Funding OS ┌──────────────────────────────┐ │ MMA BOARDROOM BRAND LAYER │ │ (Ramel's community · $97– │ │ $1,997/mo tier ladder) │ └──────────────┬───────────────┘ │ ┌─────────────────────────────┼─────────────────────────────┐ │ │ │ ▼ ▼ ▼ ACQUIRE.AI™ PLATFORM FUNDING OS ENGINE MMA CURRICULUM ───────────────────── ────────────────── ───────────────── 41 SaaS panels Scenarios 01–11 Mon leadership call 5 AI brains DIF v2.4 Mon execution Deal Scout Credit stacking Tue core class 247 lenders Bucket framework Weekly homework OMEGA Hub · 8 agents CU Intelligence Quarterly off-sites LEILA Paralegal Acquisition readiness Certified mail · LOIs Psychology curve │ │ │ └─────────────────────────────┼─────────────────────────────┘ │ ▼ SUPABASE · SOURCE OF TRUTH ───────────────────────────── deals · leads · outcomes · subs credit_unions · bank_policies private_lenders · affiliates prompts · errors · content one database · jointly owned │ ▼ STUDENT / CLIENT EXPERIENCE ─────────────────────────── MMA-branded portal Acquire.AI navigation Funding OS methodology One login · one UI · one bill
The 41 panels of Acquire.AI each have a corresponding Funding OS touchpoint. Here's the mapping of the most operationally-critical ones — these are the panels that get wired to Scenarios 01–11 at launch.
Wired to Syndicate tier deal flow
100-pt scoring pairs with DIF acquisition readiness
247 lenders · Scenario 03 routing
OMEGA Hub bridges to Scenario 05 content
privatelenderdata.com pipeline integration
Builder stack procurement automation
Syndicate Monday calls · class schedule
50-state CU + distress monitoring
Stage-aware follow-up to psychology curve
Make.com Scenarios 01–11 live here
Capital stack tracker · LOI vault
LOI auto-gen with capital stack built in
Daily KPI rollup (War Room SOP)
8 AI agents · compliance-bounded (SENTINEL enforces)
Contract population only · never generation
LOI delivery · lender outreach at $5/letter
Every inbound lead and outbound sequence in the MMA Board Room ecosystem is handled by a trained VAPI voice agent — 60-second response SOP, 24/7/365, zero quiet hours. Each agent is purpose-built for its platform and workflow.
From the Barton proposal, adjusted for Funding OS integration. Three-way revenue sharing that keeps incentives aligned across the triangle. Every deal closed generates revenue for all three parties without any party blocking the client's outcome.
| Revenue Stream | Frequency | Rate | Split |
|---|---|---|---|
| Platform License (Starter) | Monthly | $2,997 | 70% Selfmade AI / 30% reinvest |
| Platform License (Growth) | Monthly | $4,997 | 70% Selfmade AI / 30% reinvest |
| Platform License (Enterprise) | Monthly | $9,997 | 65% Selfmade AI / 35% reinvest |
| Student activation fee | Per student | $197 | 100% Selfmade AI (build + support) |
| Syndicate tier subscription | Monthly | $1,997 | 50% MMA / 30% Funding OS / 20% Selfmade AI |
| Platform-attributed funding commission | Per close | 8–12% | 50% Funding OS / 30% MMA / 20% Selfmade AI |
| Platform-attributed acquisition | Per close | 2–5% | 40% Funding OS / 40% MMA / 20% Selfmade AI |
| JV deals | Per deal | 20–50% profit | Negotiated per deal · all parties eligible |
| Tradeline referrals | Per sale | 20% | 60% Funding OS / 40% Selfmade AI |
| Affiliate referrals | Per student | 20% recurring | 100% referring student |
These are the conditions that must be in place before the integrated stack is live. None are optional; any one missing means Day 1 is pushed:
Every inbound lead and outbound sequence in the MMA Board Room ecosystem is handled by a trained VAPI voice agent — 60-second response SOP, 24/7/365, zero quiet hours. Each agent is purpose-built for its platform and workflow.