Treasury AI. Regulated data. Audit-grade ML.

Precision Federal is targeting opportunities at the Department of the Treasury — IRS modernization, FinCEN BSA analytics, OFAC sanctions screening, and the Treasury CDO data strategy. Production federal regulated-data ML behind us, financial-crimes and tax-compliance AI in our target.

IRS
Modernization Aligned
FinCEN
BSA Analytics Target
OFAC
Sanctions Screening AI
541512
Primary NAICS

Targeting Treasury with regulated-data ML discipline

Precision Federal is targeting opportunities at the Department of the Treasury. We are not claiming past Treasury performance. What we bring is a production ATO'd federal ML system at SAMHSA on sensitive regulated data — and that engineering discipline is exactly what Treasury data (tax records under 26 U.S.C. 6103, Bank Secrecy Act data at FinCEN, sanctions watchlists at OFAC) demands.

Treasury runs the country's tax, financial-crimes, sanctions, and fiscal-management functions. The department has approximately 100,000 employees across twelve bureaus and a modernization runway extending at least through the end of the Inflation Reduction Act funding cycle. Precision Delivery Federal LLC (UEI Y2JVCZXT9HP5, CAGE 1AYQ0, SAM.gov active) is aligned for Treasury AI scopes where production ML, governance, and audit-grade pipelines are the durable differentiators.

Treasury bureaus we target

  • IRS — Internal Revenue Service. Largest Treasury bureau by far, with Inflation Reduction Act funding for modernization. Taxpayer services AI, compliance ML, notice automation, case prioritization.
  • FinCEN — Financial Crimes Enforcement Network. BSA data collection, SAR (Suspicious Activity Report) analytics, beneficial-ownership information (BOI) under the Corporate Transparency Act.
  • OFAC — Office of Foreign Assets Control. Sanctions administration and watchlist matching. LLM-assisted adjudication is an emerging priority.
  • TFI — Office of Terrorism and Financial Intelligence. Policy and intelligence coordination across Treasury law-enforcement-adjacent functions.
  • OCC — Office of the Comptroller of the Currency. National bank supervision and examination analytics.
  • Bureau of the Fiscal Service — Federal payments, debt collection, Do Not Pay. Payment-integrity ML.
  • TTB — Alcohol and Tobacco Tax and Trade Bureau. Labeling and tax compliance.
  • Mint and BEP — Coin and currency production.
  • Office of the Treasury CDO — Department-wide data strategy, data quality, and federated analytics governance.

Treasury AI mission areas mapped to our capability

Where our stack fits

IRS taxpayer services and compliance AI

IRS is deploying conversational AI on IRS.gov, notice-resolution agents, and case-prioritization ML funded by Inflation Reduction Act enforcement dollars. Agentic LLM systems with RAG over Internal Revenue Manual content and human-in-the-loop review gates fit our stack. See Agentic AI.

FinCEN BSA analytics and SAR triage

FinCEN receives millions of Currency Transaction Reports and Suspicious Activity Reports annually. Graph ML on entity networks, anomaly detection on transaction patterns, and LLM-assisted narrative summarization for investigator workflows. Beneficial-ownership analytics under the Corporate Transparency Act is new-data-surface territory.

OFAC sanctions screening with LLM adjudication

Classical name-matching produces high false-positive rates. LLM-assisted adjudication combining structured watchlist matching with semantic context (news, legal filings, corporate registries) is an active research and production surface. Our ML plus agentic-AI blend fits directly.

Payment-integrity ML for Fiscal Service

Do Not Pay, improper-payments prevention, and Treasury Offset Program analytics. Supervised and unsupervised ML on payment streams, entity-resolution ML across disparate agency feeds.

Treasury CDO data strategy execution

Cross-bureau data catalogs, privacy-preserving federated analytics, data quality ML. Our federal health IT data platform past performance transfers directly. See Data Engineering.

OCC bank supervision analytics

Examiner decision support, call-report anomaly detection, consumer-complaint NLP.

26 U.S.C. 6103, BSA, and the Treasury data protection surface

Treasury data carries some of the strictest statutory protections in the federal government. Designing AI systems on Treasury data means respecting:

  • 26 U.S.C. 6103 — confidentiality and disclosure of tax returns and return information. Significantly more restrictive than typical PII handling.
  • Bank Secrecy Act (31 U.S.C. 5311 et seq.) — governs FinCEN data collection, SAR confidentiality, and BSA data sharing.
  • FISMA Moderate and High — most Treasury systems run Moderate; IRS and FinCEN mission systems frequently High.
  • Privacy Act and SORNs — SORNs for IRS taxpayer records, FinCEN reports, OFAC case files.
  • IRS Publication 1075 — safeguarding Federal Tax Information (FTI). Any AI system touching FTI inherits Publication 1075 controls end-to-end.
  • NIST 800-53, 800-171 — baseline and CUI controls. OFAC sanctions screening often crosses into classified-adjacent data.

Our SAMHSA ATO experience translates: regulated-data ML is the same engineering posture with a different statute on top.

IRS modernization and Inflation Reduction Act funding

The Inflation Reduction Act of 2022 appropriated roughly $80B to the IRS — most of it for enforcement and modernization — before subsequent rescissions. The surviving funding envelope still supports a multi-year modernization wave covering:

  • Taxpayer-facing AI — chatbots, notice-comprehension assistants, voice-channel ML.
  • Compliance ML — underreporting detection, partnership-return risk scoring, large-corporate examination prioritization.
  • Operational AI — workflow automation, document intelligence on return attachments, audit-case summarization.
  • Core systems — replacement of legacy Individual Master File and Business Master File systems. Not AI-first, but AI-adjacent data-platform scope.

FinCEN, OFAC, and the financial-crimes AI wave

FinCEN is standing up the Beneficial Ownership Information database under the Corporate Transparency Act — a new regulatory data surface covering reporting companies nationwide. BOI analytics will shape anti-money-laundering capabilities for a decade. OFAC sanctions administration has grown enormously since 2022, with expanded Russia, Iran, and PRC-related designations straining classical screening systems. Both environments are receptive to small-business AI specialists when the team brings production ML discipline and governance.

Relevant vehicles and NAICS

  • Primary NAICS 541512 — Computer Systems Design Services. SBA small business.
  • Adjacent — 541511, 541519, 541611 (Management Consulting), 541990.
  • Vehicles — IRS EDOS, TIPSS successors, GSA MAS, Alliant 2, CIO-SP4, SEWP VI, Treasury-wide BPAs, and direct task orders under NAICS 541512.

How Treasury program offices and primes engage us

Three patterns:

  • Treasury subcontracting — to primes on AI/ML scope on IRS, FinCEN, OFAC, and Fiscal Service task orders under GSA, CIO-SP4, and Alliant 2.
  • Direct task order pursuit — on small-business-set-aside scopes where NAICS 541512 applies.
  • Research and R&D partnerships — with IRS RAAS and Treasury CDO on applied ML evaluations.

Email [email protected]. We respond within 24 hours. See also our SBIR partnering page and machine learning capability page.

Treasury AI contracting, answered.
Does Precision Federal have Treasury past performance?

We are targeting Treasury opportunities. We do not claim past Treasury work. Our confirmed federal past performance is a production ATO'd ML system at SAMHSA on sensitive federal data — directly transferable to Treasury workloads that demand regulated-data ML, governance, and audit-grade pipelines such as IRS taxpayer data and FinCEN BSA analytics.

Which Treasury bureaus do you target?

IRS (tax modernization, compliance ML, taxpayer services AI), FinCEN (BSA data analytics, SAR pattern detection), OFAC (sanctions screening AI, watchlist matching), TTB, Mint, Bureau of the Fiscal Service, OCC (bank supervision analytics), and the Treasury Chief Data Officer's office. We are aligned for Office of Terrorism and Financial Intelligence (TFI) work.

How does SAMHSA ML transfer to Treasury scope?

Both environments demand ATO-ready architectures, tight PII handling, production monitoring, and audit-grade provenance. Regulated-data ML skills — feature engineering under privacy constraints, bias testing, drift monitoring — move directly. Treasury financial data carries different statutory protections (26 U.S.C. 6103 for tax data, BSA for FinCEN data) but architectural patterns are analogous.

What Treasury AI mission areas do you pursue?

IRS Inflation Reduction Act modernization (taxpayer services chatbots, notice-resolution AI, case prioritization, fraud and non-compliance ML), FinCEN Suspicious Activity Report triage and beneficial-ownership analytics, OFAC sanctions screening with LLM-assisted adjudication, Treasury-wide financial-crimes graph analytics, and Fiscal Service payment-integrity ML.

Do you pursue Treasury SBIR?

Treasury is not a primary SBIR-issuing agency, but it participates periodically and runs targeted programs through bureaus such as the IRS Research, Applied Analytics, and Statistics (RAAS) division. We are monitoring Treasury-adjacent SBIR and BAA pathways, and we pursue Treasury modernization work primarily through GWAC subcontracting and direct task order awards under NAICS 541512.

Can you subcontract on IRS vehicles?

Yes. The IRS Enterprise Development, Operations, and Services (EDOS) vehicle, TIPSS-4 successor vehicles, GSA MAS, Alliant 2, and CIO-SP4 are standard pathways. We subcontract to primes on AI/ML scope where production federal ML past performance and ATO-minded engineering differentiate the team.

Go deeper.
1 business day response

Treasury-ready. Regulated-data ML.

Production federal ML past performance. IRS, FinCEN, OFAC scope in reach.

[email protected]
UEI Y2JVCZXT9HP5CAGE 1AYQ0NAICS 541512SAM.GOV ACTIVE