From Web Commerce to AI-Driven Revenue

We help companies become businesses AI agents choose to transact with – and apply agentic systems across their existing channels.

AI agents are becoming the new buyers. $3+ Trillion Dollars are expected to be intermediated by agents by 2030.

Agents don’t browse. They don’t click. They decide and transact on customers behalf. If your business isn’t structured for agentic commerce, it won’t exist in the AI economy.

We redesign your commerce stack, distribution strategies, and economics so your business can become powered by agents, but also be discovered, trusted, and ready to be transacted with by AI agents.

Practice Areas

Agentic Commerce Strategy

Create your Agentic Commerce Strategy Plan - Map where your category is going under agent mediation, define where your business has the right to win, and the 18-month plan to get there. Includes market thesis, competitive positioning, and board-ready sequencing.

Outputs: Market thesis · Competitive map · Investment roadmap

Agentic Revenue Growth

Understand and start to manage revenue from agent-mediated channels. Includes decisions on development roadmap such as creating agent-readable catalog and content, pricing for AI buyers, and the surfaces — search, marketplaces, native agents — where your products show up when a customer asks.

Outputs: Channel strategy · Agent GEO + catalog + conversion optimization strategies · Partnership playbook

Operating Model & Economics

The unit economics of running agents at scale. Most companies model experience design and infrastructure separately — picking the model, the latency targets, and the agent surfaces without ever connecting them to token costs. At pilot, the math works. At volume, the margin disappears.

This is the work that designs both at once.

Outputs: Unit economics model · Experience-architecture tradeoff map · Compute and model selection

Agentic Commerce Design

The systems agents need to transact with your business — identity, authorization, data, and integration. Aligned to emerging protocols (MCP, AP2, ACP) so the work doesn't need to be redone in 18 months.

Outputs: Reference architecture · Build/buy/partner map · Implementation sequencing

This is the work that designs both at once.

Outputs: Unit economics model · Experience-architecture tradeoff map · Compute and model selection

Our Approach

Locate the Wedge

Map how agents reshape your business

The strategic wedge: which agentic commerce surfaces does your category actually compete on, and where does your brand have a defensible position.

Output: a sharpened market thesis, not a market scan.

Set the Thesis

Defensible POV, business model, 18-month plan

Your products and services, pricing, policies, and reviews — restructured for machine consumption. If an agent can't parse you, an agent can't recommend you.

Output: an audit, a remediation plan, and the architecture decisions that matter.

Architect the layer

Design Data, Trust and Identity Infrastructure

Who is the agent acting for, what are they authorized to do, and how does your business verify it. The layer most consultancies skip and most CISOs haven't seen.

Output: an architecture for your business to compete in the AI economy, aligned to the emerging protocols and interoperability best practices.

Launch the Agents

Integrate your agents into core commerce services

Integration points across commerce, service, marketing, and supply. Not "AI strategy" — actual decisions about which agent surfaces you build, which you buy, and which you let third parties own.

Output: a build/buy/partner map with sequencing.

AI Commerce Agents - Agentic Commerce Advisory

Agentic Commerce Advisory - Compound Growth in the AI Economy

Architect the layer

Design Data, Trust and Identity Infrastructure

Who is the agent acting for, what are they authorized to do, and how does your business verify it. The layer most consultancies skip and most CISOs haven't seen.

Output: an architecture for your business to compete in the AI economy, aligned to the emerging protocols and interoperability best practices.

Potential Engagement Formats

Diagnostic Workshop

AI Commerce Readiness Assessment

Leadership workshop + strategic report on how AI and agentic commerce will impact your business, customers, and operating model.

Strategy

AI Commerce Strategy & Roadmap

Experts Deep Dive with your team to define Market thesis, competitive positioning, monetization strategy, and a practical roadmap for growth in the AI economy

Operating Model

Organization & Operating Transformation

Experts Deep Dive with your team to (re)design workflows, teams, incentives, governance, and customer journeys for an AI-native business environment.

Experts Deep Dive with your team to define protocols adoption, partnerships, AI platform integrations and interop architure, trust systems, payments, and emerging agentic ecosystems.

Architecture

Agentic Infrastructure & Partnerships

Experts Deep Dive with your team to define protocols adoption, partnerships, AI platform integrations and interop architure, trust systems, payments, and emerging agentic ecosystems.