Blueprint Playbook for Incode

Who the Hell is Jordan Crawford?

Founder of Blueprint. Built a business by scraping 25M+ job posts to find company pain points. Believes the Predictable Revenue model is dead. Thinks mounting an AI SDR on outdated methodology is like putting a legless robot on a horse—no one gets anywhere, and it still shits along the way.

The core philosophy is simple: The message isn't the problem. The LIST is the message. When you know exactly who to target and why they need you right now, the message writes itself.

The Old Way (What Everyone Does)

Let's be brutally honest about what your GTM team is doing right now. They're buying lists from ZoomInfo, adding some "personalization" like mentioning a LinkedIn post, then blasting generic messages about features. Here's what it actually looks like:

The Typical Incode SDR Email:

Subject: Quick question about identity verification Hi [First Name], I came across your company and noticed you're in the [industry] space. I wanted to reach out because Incode helps companies like yours with identity verification and fraud prevention. Our platform uses AI-powered biometrics and document verification to streamline onboarding while reducing fraud. We work with leading companies like Citibanamex, HSBC, and FanDuel. Would you be open to a quick 15-minute call to see if we might be a fit? Best, [SDR Name]

Why this fails: The prospect is an expert in fraud and compliance. They've seen this template 1,000 times. There's zero indication you actually understand their specific regulatory situation or fraud challenges. It's interruption disguised as personalization. Delete.

The New Way: Intelligence-Driven GTM

Blueprint flips the entire approach. Instead of interrupting prospects with pitches, you deliver insights so valuable they'd pay consulting fees to receive them. You become the person who helps them see around corners, not another vendor in their inbox.

This requires two fundamental shifts:

1. Hard Data Over Soft Signals

Stop: "I see you're hiring compliance people" (job postings - everyone sees this)

Start: "FDIC's Feb 2024 consent order requires Sutton to 'ensure the bank knows their true identities' for all prepaid card customers since July 2020" (regulatory database with exact quote)

2. Mirror Situations, Don't Pitch Solutions

PQS (Pain-Qualified Segment): Reflect their exact regulatory situation with such specificity they think "how did you know?" Use enforcement actions with dates, violation types, and remediation requirements.

PVP (Permissionless Value Proposition): Deliver immediate value they can use today - connect historical enforcement patterns to emerging threats like deepfakes, quantify the risk, show the path forward - whether they buy or not.

Incode PQS Plays: Mirroring Exact Situations

These messages demonstrate such precise understanding of the prospect's current regulatory situation that they feel genuinely seen. Every claim traces to a specific government enforcement database with verifiable details.

PQS 8.2/10

Play 1: BaaS Banks Under FDIC Identity Verification Mandates

What's the play?

Target BaaS (Banking-as-a-Service) banks with consent orders that specifically require them to verify customer identities. FDIC's Feb 2024 order against Sutton Bank explicitly requires them to "ensure the bank knows their true identities" for all prepaid card customers since July 2020.

This is a retrospective verification mandate PLUS ongoing compliance requirement - exactly the kind of massive operational challenge Incode's orchestration platform solves.

Why this works

You're referencing a specific regulatory mandate that creates urgency. The bank MUST remediate identity verification or face further regulatory action and growth restrictions. You're not selling - you're helping them solve a compliance requirement with a deadline.

The quote is directly from the consent order, so the prospect knows you've actually done the research.

Data Sources
  1. FDIC Enforcement Decisions and Orders - Searchable by bank name, date range, violation type
  2. Banking Dive BaaS Consent Order Tracker - Running list with violation summaries

The message:

Subject: Sutton's FDIC order to "know true identities" I noticed FDIC's Feb 2024 consent order requires Sutton to "review all prepaid card customers since July 2020 to ensure the bank knows their true identities." That's a massive retrospective verification project while also preventing new identity gaps. Incode helped Citibanamex cut onboarding costs 80% while strengthening KYC - they're now processing identity checks across all their digital channels. Would a 15-min call this week make sense to explore whether similar orchestration could help Sutton satisfy the FDIC's identity verification requirements faster?
PQS 8.5/10

Play 2: Large Banks with Unaddressed CDD Deficiencies

What's the play?

Target banks cited by OCC for Customer Due Diligence (CDD) process failures. The Dec 2024 cease-and-desist order against Bank of America noted "previously identified deficiencies in CDD processes remained unaddressed, posing risks in understanding customer behaviors and potential illicit activities."

The key insight: these weren't NEW deficiencies - they were PREVIOUSLY IDENTIFIED and STILL not fixed. That's a pattern that suggests manual processes aren't working.

Why this works

CDD failures at scale create massive operational and compliance risk. Banks under OCC scrutiny must demonstrate improvement before their next regulatory review. You're positioning Incode's automation (Trust Graph, Risk AI Agent) as the path to fixing what manual processes couldn't.

The "previously identified...remained unaddressed" framing creates urgency - this is a recurring problem, not a new one.

Data Sources
  1. OCC Enforcement Actions Search - Searchable by bank name, date, enforcement type
  2. FinCEN Enforcement Actions - BSA/AML violations filterable by institution type

The message:

Subject: BofA's unaddressed CDD deficiencies The OCC's December 2024 order against Bank of America cited "previously identified deficiencies in CDD processes remained unaddressed, posing risks in understanding customer behaviors and potential illicit activities." CDD at BofA's scale - with millions of accounts - requires automation that catches suspicious patterns without creating false positive backlogs. Incode's Trust Graph detected repeat attackers and synthetic identities across 4.1B annual identity checks for banks like HSBC and Citi. Their Risk AI Agent evaluates CDD signals holistically to reduce manual review while strengthening compliance. If fixing CDD gaps before the next OCC review is a priority, I'd welcome 20 minutes to show what worked for similarly situated institutions.

Incode PVP Plays: Delivering Immediate Value

These messages provide actionable intelligence before asking for anything. The prospect can use this value today whether they respond or not. That's the power of permissionless value.

PVP 8.7/10

Play 1: Crypto Exchanges Avoiding Binance/Paxful's Fate

What's the play?

Target crypto exchanges and VASPs by referencing the massive FinCEN penalties against Binance ($3.4B in Nov 2023) and Paxful ($3.5M + $4M criminal in Dec 2025) for KYC failures, then connecting to the emerging deepfake threat that makes 2025 KYC harder than ever.

The insight: Binance's "no KYC" accounts and Paxful's zero KYC from 2015-2019 are historical failures. But the 680% rise in deepfake attacks means even exchanges WITH KYC are now vulnerable to AI-generated identity fraud.

Why this works

You're connecting historical enforcement (past pain) to emerging threats (future pain). Exchanges know about Binance, but may not have connected KYC failures to the deepfake explosion. You're delivering insight, not a pitch.

The Deepsight product positioning (four layers of deepfake defense) directly addresses the emerging threat you've identified.

Data Sources
  1. FinCEN Enforcement Actions - Binance consent order Nov 2023, Paxful Dec 2025
  2. Treasury Press Release on Binance - $3.4B settlement details
  3. Deepfake Statistics 2025 - 680% YoY increase, incident counts

The message:

Subject: After Binance's $3.4B and Paxful's $7.5M - what's your KYC posture? FinCEN's 2023 Binance settlement ($3.4B) and December 2025 Paxful action ($3.5M + $4M criminal) both centered on the same failure: inadequate KYC. Binance's "no KYC" accounts enabled illicit actors. Paxful had zero KYC processes from 2015-2019. But KYC in 2025 isn't just document checks - it's deepfake defense. Deepfake incidents rose 680% in 2024, and crypto is a prime target for AI-generated identity fraud. Incode's Deepsight blocks deepfakes across four layers (behavioral, device, camera, perception) while their KYC/AML orchestration platform delivers 4-second average verification and 98% first-try pass rates - so compliance doesn't kill conversion. For exchanges building defensible KYC programs before the next FinCEN action, I can share how Incode's approach differs from the patchwork systems that failed at Binance.
PVP 8.6/10

Play 2: Financial Services Fighting Account Takeover Surge

What's the play?

Target fintech and financial services companies by leading with the 250% account takeover surge in 2024 and connecting it to Paxful's specific failure to detect "users seeking to evade controls by structuring transactions."

The key insight: Traditional KYC stops at onboarding. But FinCEN's Paxful order cited a POST-onboarding detection failure. Regulators now expect ongoing fraud intelligence, not just point-in-time verification.

Why this works

You're distinguishing between point-in-time KYC (what most vendors sell) and ongoing fraud intelligence (what actually stops ATO). The Paxful citation proves regulators care about post-onboarding detection too.

Trust Graph's "repeat attacker detection across sessions without exposing PII" is exactly the capability gap you've identified.

Data Sources
  1. American Banker - ATO 250% Surge - Kasada report on 2024 ATO spike
  2. FinCEN Paxful Consent Order - Specific language on evasion detection failure
  3. Credential Theft Statistics 2025 - 1.8B credentials stolen

The message:

Subject: 250% spike in account takeover - how are you detecting repeat attackers? Account takeover surged 250% in 2024, with fintech/crypto attacks up 122% year-over-year. The pattern: attackers use credential stuffing from breached databases (1.8B credentials stolen in 2025 alone) to gain initial access, then exploit weak step-up verification to drain accounts. Traditional KYC stops at onboarding. But FinCEN's Paxful order specifically cited failure to "identify which users sought to evade controls by structuring transactions" - a post-onboarding detection failure. Incode's Trust Graph detects repeat attackers, duplicate documents, and synthetic patterns across sessions - without exposing PII - while their orchestration platform triggers step-up verification when risk signals spike. It's why FanDuel, BetMGM, and Chime trust them for ongoing fraud defense, not just onboarding. If you're seeing account takeover attempts spike, I'd welcome 15 minutes to walk through how real-time fraud intelligence differs from point-in-time verification.

The Transformation

Notice the difference? Traditional outreach talks about YOUR product and YOUR benefits. Blueprint talks about THEIR regulatory situation and THEIR fraud challenges using verifiable enforcement data they can look up themselves.

The shift is simple but profound:

Stop sending messages about what you do. Start sending intelligence about what they need to know right now. When you lead with "FDIC's Feb 2024 consent order requires Sutton to ensure the bank knows their true identities" instead of "I see you're in the banking space," you're not another sales email - you're the person who actually read the regulatory filings.

This isn't about templates or tactics. It's about building a systematic way to identify prospects experiencing specific, urgent regulatory or fraud challenges where Incode's solutions provide unique value - and proving you've done the homework with government enforcement records.

The companies that master this approach don't compete on features. They compete on intelligence.

Incode's Intelligence Data Sources

These are the government and regulatory databases that power the plays above. Build lists from these sources, not from generic firmographic data.

Segment 1: Banks Under Regulatory Consent Orders

  1. OCC Enforcement Actions - Search by bank name, date range, enforcement type (consent orders, cease-and-desist, CMPs)
  2. FDIC Enforcement Decisions - BaaS banks, prepaid program sponsors, BSA violations
  3. FinCEN Enforcement Actions - Filter by institution type (depository, MSB, virtual currency)
  4. CFPB Enforcement Actions - 385 searchable cases with product type filters

Segment 2: Crypto/Fintech Fraud Risk Indicators

  1. FinCEN Crypto Enforcement - Filter by "money services businesses" for crypto exchange violations
  2. HaveIBeenPwned Breach List - Companies with credential breaches (context for ATO risk)
  3. FTC Cases & Proceedings - Data security and identity theft enforcement
  4. HHS OCR HIPAA Breach Portal - Healthcare orgs with 500+ individual breaches