Andreozzi Consulting

Case Studies

Selected engagements.

Anonymized summaries of recent work. We can walk you through any of these in more detail under NDA — reach out if you want the unredacted version.

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AI Enablement

6 engagements

Private Markets · Islamic Finance

AI Enablement · Ongoing

Outcome

Tokenized M&A platform with AI investor CRM and Sharia-aware screening for GCC private markets.

Context

A private growth-capital platform was built to serve the M&A use case first: giving owners, executives, family offices, and institutional allocators a compliant path to digitize private company ownership, identify strategic buyers, and execute liquidity events and acquisitions. Sharia-aware transaction support for GCC and Islamic-finance-oriented markets was a design-level requirement — not a feature bolted on after the fact.

What we did

  • Designed tokenized ownership infrastructure: compliant wallet whitelisting, KYC-linked ownership records, cap table automation, and regulated transfer controls.
  • Built an AI-enabled CRM and investor intelligence layer for identifying strategic buyers, acquirers, family offices, and M&A combinations from enriched investor profiles.
  • Implemented Sharia-aware screening at the offering level: prohibited business activity review, interest exposure, leverage ratios, revenue composition, asset backing, and transaction structure.
  • Supported Sharia governance workflows: scholar review, Sharia board approval, fatwa storage, investor disclosures, and ongoing compliance audit trails.
  • Architected compliance-first onboarding across KYC/AML, investor qualification, subscription documents, lock-up awareness, and regulated transfer controls.
  • Used a vendor orchestration model — integrating tokenization, e-signature, KYC, payment, and CRM providers — rather than rebuilding regulated functions from scratch.

Capital Markets · Digital Assets

AI Enablement · ~2 years

Outcome

~75% of compliance review automated; unified trust layer across broker-dealer, ATS, crypto, and P2P.

Context

A regulated trading platform supporting broker-dealer activity, ATS trading, crypto assets, and P2P exchange needed compliance logic — KYC/AML, identity verification, wallet screening, custody routing, and transaction permissions — abstracted into a centralized policy-driven service rather than hardcoded into the exchange. AI automation had to handle roughly 75% of routine compliance review while preserving deterministic policy rules and human escalation controls.

What we did

  • Designed a global trust and compliance service layer evaluating each trader, wallet, asset, jurisdiction, and transaction in real time before onboarding, pre-trade approval, custody routing, and settlement.
  • Built an AI-assisted KYC/AML pipeline using specialized LLMs and fraud models for identity verification, anomaly detection, wallet screening, sanctions checks, and source-of-funds analysis.
  • Implemented dynamic custody routing across centralized custody, qualified custody, broker-dealer custody, MPC wallets, smart-contract escrow, and self-custody — determined by asset type, jurisdiction, risk score, and customer classification.
  • Enforced smart-contract policy via allowlists, transfer restrictions, compliance oracles, escrow workflows, and signed transaction approvals.
  • Delivered continuous trust scoring across identity, wallet history, device behavior, transaction velocity, counterparty exposure, and jurisdictional risk.
  • Supported broker-dealer and ATS integration for pre-trade controls, order approval, post-trade settlement, trade surveillance, and regulatory reporting.

Capital Markets · Regulated Securities

AI Enablement · ~3 years

Outcome

Microservices 142 → 20, 60% cloud cost reduction, regulated trading platform in 12 months.

Context

A regulated securities firm with a sprawling microservices estate, costly cloud spend, and a 12-month deadline to bring a market-leading Primary Issuance Platform and Alternative Trading System through architecture, security, and compliance approval.

What we did

  • Architected platform consolidation from 142 microservices to 20, lowering maintenance risk and improving feature lead time.
  • Drove a 60% reduction in cloud cost via re-architecture and operating-model change, expanding EBITDA margin and extending runway.
  • Delivered the regulated trading platform within the 12-month window, aligning agile development with compliance and cross-functional teams.
  • Integrated blockchain layer-1 protocols (Ethereum, Tezos, Avalanche, Polygon, Cardano) for digital-asset issuance and trading.
  • Reduced development costs 40% via AI-driven automation and SDLC modernization; reallocated savings to GTM acceleration.

High-Growth Consumer Tech · Marketplace

AI Enablement + Talent Strategy · ~4 years

Outcome

$300M Series B raised, monthly revenue $30M → $40M, engineering org 17 → 72.

Context

A category-leading marketplace business needed to convert a credible technical narrative into an institutional capital raise while scaling engineering 4× and the broader org 2× — without losing the culture that got them there.

What we did

  • Partnered with the CEO on fundraising strategy and GTM execution; secured $300M Series B from institutional investors.
  • Grew monthly revenue from $30M to $40M over 24 months, contributing to a 3× increase in investor valuation.
  • Scaled engineering organization from 17 to 72 within 24 months via scalable hiring frameworks and a high-performance team culture.
  • Built hiring, delivery, and culture infrastructure that survived the company's growth from 150 to 300+ employees.
  • Reduced operational budget 10% within 9 months via systems consolidation and vendor negotiation, funding platform enhancements for growth-stage readiness.

Entertainment · Web3

AI Enablement · ~5 years

Outcome

Fractional CTO: Tezos NFT marketplace built as artist-to-fan loyalty channel.

Context

A venture-backed digital collectibles company needed an NFT platform built around a single conviction: NFTs are a marketing and loyalty channel, not a speculative asset class. The architecture had to support major artists and brands launching curated campaigns where fans received ongoing rewards — VIP tickets, exclusive content, merch drops, backstage access — delivered directly to holder wallets without exposing fan PII.

What we did

  • Architected a curated NFT marketplace on Tezos using FA token standards for low-cost, energy-efficient issuance.
  • Designed NFTs as programmable shells that could evolve post-purchase — delivering tickets, collectibles, content, and access rights into holder wallets over time.
  • Built wallet-based fan engagement: holder targeting, gated content delivery, and reward mechanics that preserved fan privacy by avoiding direct PII exposure.
  • Created campaign tooling for artist teams: drop management, holder segmentation, reward distribution, and post-sale engagement workflows.
  • Designed for cross-chain participation through bridge adapters, wrapped assets, and lock/mint or burn/release interoperability with Ethereum and EVM ecosystems.
  • Translated Web3 infrastructure into a practical loyalty and marketing platform that artist teams, brands, and fans could operate without crypto expertise.

Regulated Consumer Marketplace · Multi-Sided Platform

AI Enablement · ~7 years

Outcome

Platform went public. Multi-sided regulated marketplace flywheel across consumers, retailers, doctors, brands, B2B suppliers, and delivery.

Context

A regulated consumer marketplace company built a multi-sided platform connecting consumers, licensed retailers, healthcare providers, brands, delivery operators, and B2B suppliers through shared data and workflows. The strategic value was controlling the full buying journey — from consumer discovery and geofenced advertising through retail checkout, medical access, and wholesale procurement — not simply listing businesses.

What we did

  • Built consumer marketplace for local business discovery, product menus, education, reviews, and online ordering for pickup or delivery.
  • Implemented geofenced ad delivery: location-aware promotions tied to nearby inventory, retailer menus, and jurisdictional market rules.
  • Integrated retail POS and menu management: inventory-aware ordering, checkout workflows, and digital-to-in-store fulfillment.
  • Developed medical portal for provider discovery, patient education, and doctor-patient workflows in medical-use markets.
  • Created B2B marketplace for licensed operators to source wholesale products, raw materials, and operational supplies.
  • Connected consumer intent, retail inventory, advertising, medical access, and B2B procurement into a single flywheel — each interaction compounding value for all participants.

Talent Strategy

2 engagements

AI Lab · Healthcare Technology

Talent Strategy · Ongoing

Outcome

30+ ML and data hires; 75% senior mix; advised CIO & CDO on workforce design.

Context

A newly launched healthcare AI Lab needed to stand up ML platforms, data infrastructure, supply chain research, and AI-enabled product teams — while maintaining a 75% senior mix across 10–15 simultaneous open roles.

What we did

  • Lead full-cycle technical recruiting across ML platforms, data infrastructure, supply chain research, and AI-enabled products.
  • Delivered 30+ hires across ML and data verticals while maintaining pipeline quality.
  • Advisor to executive leadership (CIO & CDO) on workforce design and recruitment strategy.
  • Source passive engineering talent using GitHub, arXiv, LinkedIn Recruiter, Copilot, GEM, and HiredScore.
  • Independent research project: mapped 200+ emerging engineers and researchers working on LLM infrastructure and model tooling across GitHub and arXiv.

Federal Research · Frontier AI

Talent Strategy · ~2 years

Outcome

Recruiting function built from zero. 12 → 118 employees including Responsible AI leadership.

Context

A newly launched federal research agency operating in formal partnership with Google DeepMind and Anthropic had zero recruiting infrastructure, zero brand recognition, and a mandate to hire 100+ engineers, computational scientists, and Responsible AI leaders fast — without compromising on quality.

What we did

  • Built the recruiting function from zero — first ATS, structured hiring processes, calibration frameworks, technical interview loops, employer brand from scratch.
  • Scaled the agency from 12 to 118 employees in under two years, including engineers, computational scientists, and Responsible AI leadership.
  • Managed ~20 senior technical and research searches simultaneously with no compromise on quality or candidate experience.
  • Partnered with program directors and scientific leaders to define hiring strategy for frontier AI-driven research initiatives, including PhD ecosystem engagement.
  • Turned candidates into advocates regardless of outcome, building employer brand for an agency with no prior recognition.

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