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Capabilities that didn’t exist five years ago.

Selected engagements across AI governance, tokenization, stablecoins, and market infrastructure. We sit between strategy, technology, regulation, and operations — designing, de-risking, and executing transformation front-to-back. Client identities are held in confidence; engagement profiles are anonymized.

Selected Engagements

01
Wealth Management · AI Strategy

AI Field Utilization Strategy for a Tier-1 Global Wealth Manager

Client

A tier-1 global wealth management business — among the largest in the US by AUM, with thousands of advisors and billions in annual revenue.

The need

A measurable adoption gap existed between AI platform availability and daily field usage. Despite the firm having built a comprehensive AI platform, leadership needed a strategic framework to convert AI capabilities into FA habits — improving client interaction quality and identifying areas of client asset growth.

How we worked
  • Audited the advisor-facing AI stack and enterprise foundation.
  • Mapped the signal-to-conversion loop from AI alert to advisor action to client outcome.
  • Benchmarked field adoption against industry data to quantify the utilization opportunity.
  • Assessed AI governance posture against current regulatory priorities.
  • Developed five strategic priorities in internal operating language.
  • Produced executive talking points, Q&A prep, and language guidance.
Result

A senior-leadership strategy brief reframing the AI story from platform construction to field utilization — giving leadership an operating thesis, quantified adoption opportunity, and a communication framework ready for the boardroom.

02
Banking · AI Governance

Agentic AI Governance Review for a US Commercial Bank

Client

A Tier 2 US commercial bank with an established AI program and a mature traditional model-risk framework.

The need

The bank was deploying agentic AI systems that act, delegate, remember, and call tools autonomously — and needed to understand its governance posture for audit purposes.

How we worked
  • Developed an agentic AI governance assessment framework and scoped agentic deployments for review.
  • Held stakeholder interviews across risk, engineering, compliance, product, and vendor management.
  • Reviewed architecture files and conducted the assessment across all agentic deployments.
  • Produced a control-plane mapping and NIST AI RMF crosswalk.
  • Compiled an in-depth findings report and a 90-day remediation roadmap.
Result

The client received an assessment that surfaced three material gaps, plus a 90-day roadmap that sized each by effort and impact — a prioritized, executive-ready remediation path. The engagement became the basis for NextFi’s standardized Agentic AI Governance Review and diagnostic tool.

03
Asset Management · Tokenization

Tokenized Share Class Operating Model for a Fixed-Income Strategy

Client

Large global asset manager considering an on-chain share class of an existing flagship liquid fixed-income fund for qualified institutional investors.

The need

Design a tokenized share class that could plug into existing fund, TA, admin, and custody infrastructure without disrupting governance or creating unmanageable operational risk.

How we worked
  • Designed a parallel tokenized share class under the existing ’40 Act fund structure, with the tokenization platform acting as co-transfer agent.
  • Defined roles, responsibilities, and interfaces across the manager, tokenization platform, KYC/AML provider, custodian, and optional DeFi venues.
  • Mapped flows for subscriptions, redemptions, secondary transfers, corporate actions, and reconciliation between on-chain and traditional ledgers.
  • Built a phased plan from discovery and integration through pilot launch and scale, with explicit success metrics and risk-mitigation measures.
Result

An executive-ready operating model that enabled informed internal debate, regulatory review, and economic analysis of a tokenized share-class strategy.

04
Payments · Stablecoins

Stablecoin Strategy for a Cross-Border Payments Platform

Client

Mid-stage B2B cross-border payments infrastructure provider serving banks and financial institutions.

The need

Leadership needed to understand whether — and how — to add stablecoins as a rail without undermining their bank-first positioning, and to quantify the risk of doing nothing.

How we worked
  • Produced a market-intelligence briefing on global stablecoin adoption by banks, card networks, neobanks, and corporates — focused on transaction volumes, use cases, and regulatory clarity.
  • Quantified competitive threats from fintechs, retailers, and bank-consortium initiatives, including potential revenue erosion if stablecoins became the default rail.
  • Designed three low-friction entry use cases — FI treasury liquidity, high-pain corridors, and mass payouts — leveraging the client’s existing architecture and compliance stack.
  • Defined a 90-day pilot program, budget, and partnership model with regulated issuers, custodians, and liquidity providers.
Result

A clear, quantified view of stablecoins as a competitive lever, a low-risk pilot roadmap, and a 12-month window for early-mover advantage anchored in existing network contracts.

05
Asset Management · Demand Intelligence

Institutional Demand Intelligence for Tokenized Funds

Client

Global asset manager evaluating tokenized fixed income and private credit as part of its digital-assets roadmap.

The need

Move beyond general hype to answer: who is actually demanding tokenized fixed income and private credit, and why — and what should we build first?

How we worked
  • Synthesized 30+ public sources and proprietary platform data to size current and projected tokenized fixed-income and private-credit markets.
  • Profiled four primary demand segments and detailed investor personas — decision criteria, product requirements, and preferred structures.
  • Mapped competitive activity across tokenized MMFs, Treasuries, and private credit, highlighting white space where the client’s credit expertise was a differentiator.
  • Outlined a staged roadmap for internal alignment, vendor evaluation, pilot design, regulatory validation, and a limited-scope pilot launch.
Result

Leadership gained conviction that demand is real and accelerating — with a clear rationale to prioritize tokenized fixed income and private credit ahead of commoditized MMF replicas.

06
Web3 · RWA Tokenization

RWA Tokenization Partnership & Distribution Strategy

Client

Web3 infrastructure company with Layer-2 blockchain capabilities and deep gaming/esports and creator-economy relationships.

The need

Strong L2 and user-acquisition capabilities, but limited exposure to institutional finance. Leadership wanted to extend into real-world-asset (RWA) tokenization without losing focus on their core Web3 infrastructure and creator ecosystems.

How we worked
  • Structured a strategic partnership model with regulated digital-asset platforms — combining the client’s L2 infrastructure and network-effect expertise with institutional-grade custody, compliance, and distribution.
  • Identified verticals where the client had a unique edge — gaming/esports, creator IP, digital infrastructure — and translated those into concrete tokenization concepts and asset types.
  • Built detailed use cases (esports team equity, gaming-studio revenue share, music-catalog royalties, podcast-network revenue tokens), including illustrative economics and revenue streams.
  • Developed a 12-month roadmap spanning partnership foundation, pilot execution, and scale — with explicit milestones, KPIs, and revenue-model components.
Result

Reframed RWA tokenization as a natural extension of the client’s existing capabilities rather than a strategic pivot — a credible path into institutional markets, and a partnership and execution plan ready for investor discussions and internal prioritization.

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