AI Distribution & Agentic Commerce Advisory

From search & app,
to AI & agent.

We help organizations navigate the transition from traditional web and app distribution to AI-mediated discovery, recommendation, and agentic commerce environments.

The platform layer is being rewritten. As consumers shift from search-based discovery to AI-assisted decision-making, companies must rethink how their products, content, and transactions are surfaced, prioritized, and monetized.

The Market Shift

AI assistants increasingly sit above traditional interfaces — at the point where consumers discover, compare, evaluate, decide, and transact.

Indexed share of discovery & transaction surfaces

2022 → 2027 (modeled)
120 60 0 2022 2023 2024 2025 2026E 2027E
Web search Apps / direct AI assistants & agents
Web and apps aren't dying.

Their share of consumer discovery moments is. The surface is moving, not disappearing.

A new intermediary layer.

AI sits between brands and consumers across discovery, recommendation, transactions, interaction, and data.

This is a platform transition.

When intermediaries shape the flow, leverage, attribution, monetization, and customer ownership all shift.

What's Changing

Five questions every consumer-facing business must now answer.

01

How are we discovered?

AI assistants are becoming the primary research, recommendation, and decision-making interface for consumers.

02

Who owns the customer relationship?

As AI intermediates discovery and transactions, brands risk losing direct engagement, data ownership, and continuity.

03

How does attribution work now?

Performance marketing and attribution models weaken as journeys move inside AI-mediated environments.

04

Who captures value in AI ecosystems?

As platforms shape recommendation and transaction flow, commercial leverage and margin ownership may shift materially.

05

What infrastructure do we need?

Organizations must rethink data, governance, interoperability, and commerce infrastructure for AI-mediated environments.

The common thread isn't industry. It's exposure to shifting distribution and platform leverage.

Our Philosophy

AI is not replacing the digital ecosystem.
It is reorganizing the interface layer.

Websites, apps, and platforms remain foundational. But AI increasingly influences how consumers discover, evaluate, and transact. The companies that succeed won't simply adopt AI tools — they'll strategically position themselves within the ecosystem AI creates.

How We Help

Four practice areas. One coherent view of the shift.

Most engagements span two or three.

01

AI Discovery, Distribution & Experience Strategy

How AI changes customer discovery and interaction — and how to remain visible, relevant, and differentiated as those journeys evolve.

  • AI discovery & recommendation strategy
  • Platform prioritization & ecosystem positioning
  • Conversational customer journey design
  • Cross-platform interaction orchestration
02

Commercial Strategy & Platform Economics

Where value shifts as AI intermediates transactions and relationships — and how to preserve leverage and monetization.

  • Attribution & measurement strategy
  • Licensing, retrieval & monetization frameworks
  • Transaction ownership & dependency analysis
  • Margin & value-capture assessment
03

AI Platform & Ecosystem Advisory

Strategic guidance on platform evolution, ecosystem dynamics, competitive developments, and emerging opportunities.

  • AI partnership & negotiation support
  • Commercialization & defensibility strategy
  • Ecosystem intelligence briefings
  • Competitive platform & standards analysis
04

AI Readiness, Governance & Transformation

The infrastructure, governance, and operational foundations required to participate effectively in emerging AI ecosystems.

  • AI readiness & transformation roadmap
  • Structured data, retrieval & knowledge infrastructure
  • API & integration strategy
  • Governance, provenance & rights frameworks
Engagement Models

Four shapes. Each anchored to a defined executive outcome.

Common entry point

Workshop

1–2 days

Half- or full-day working session with an executive team or board on the strategic implications of AI-mediated discovery, commerce, and ecosystem transformation.

Assessment

6–8 weeks

Strategic diagnostic across AI-mediated discovery, attribution, commerce flows, and customer ownership. Delivers a prioritized roadmap for ecosystem participation.

Strategic Advisory

6–12 months

Ongoing advisory support for executive teams navigating AI ecosystem transformation, commercialization strategy, and platform partnerships.

Pilot Programs

8–16 weeks

Design and execution of focused pilots to test emerging AI-mediated workflows, recommendation environments, commerce experiences, or integrations.

Who We Work With

Enterprise organizations navigating AI ecosystem transformation.

Media & Entertainment

  • Studios
  • Publishers
  • Sports leagues
  • Streaming platforms
  • IP owners
  • Content networks
  • Ticketing & events

Commerce & Consumer

  • Retailers
  • Marketplaces
  • Commerce platforms
  • Consumer brands
  • Travel & hospitality
  • Subscription businesses
  • Reservation & booking

Technology & Platforms

  • SaaS platforms
  • Consumer apps
  • Data providers
  • Enterprise software
  • Platform operators
  • Creator economy platforms
  • Venture-backed platforms
Founding Team

Where strategy, commerce & infrastructure converge.

ER

Erin Razov

Co-Founder · Business, Platform & Commercial Strategy

Strategic lead for CMOs, business development leaders, and executive teams navigating AI ecosystem transformation.

Deep experience across consumer platforms, media ecosystems, commerce infrastructure, monetization, and distribution partnerships.

Veteran of NBCUniversal · former VP / Head of Business Development & Strategic Partnerships at Fandango.
BH

Ben Havey

Co-Founder · Product, Technology & Infrastructure Strategy

Strategic lead for technology, product, and innovation leaders navigating AI infrastructure, interoperability, and ecosystem transformation.

Deep expertise across AI infrastructure, retrieval systems, semantic architecture, API ecosystems, and enterprise integration.

Former VP of Technology Innovation at Disney StudioLAB · VP of Digital Product at NBCUniversal.
Why Us

Most firms offer one of these. We bring all four together.

01

Platform & partnership operating experience

02

Deep understanding of consumer ecosystems

03

Technical product & infrastructure fluency

04

Commercial & monetization strategy

The Agent Layer

Position deliberately inside what comes next.

Let's discuss how AI-mediated ecosystems may reshape your category, customer journeys, and commercial infrastructure.