Agentic Commerce
When the buyer is an AI,
is your business designed to be bought?
AI assistants are fast becoming how people discover and purchase. We make your commerce agent-ready — machine-readable, transactable, and trustworthy to autonomous buyers — and build the AI agents that sell and serve on your behalf.
The shift
Your next customer doesn't browse. It reasons.
For two decades, commerce was built for human eyes — pages to scroll, search results to click, carts to nudge. That assumption is breaking. A growing share of discovery and buying is moving inside AI assistants, where an agent reads the request, evaluates the options, and acts. The traditional funnel collapses into a single conversation, and the thing doing the comparing is software.
That changes what it takes to win. An agent can't be charmed by a hero image or a clever tagline. It looks for structured truth: what you sell, whether it's in stock, what it costs, how fast it ships, and whether your claims hold up. If that information isn't machine-readable, verifiable, and transactable, the agent simply routes around you — to a competitor that is designed for it.
Being designed for it isn't a marketing project. It's an engineering and operations one — exactly the kind of work we've done for US businesses for 20+ years. We make your business legible and buyable to AI, and we build the agents that act on your side of the conversation.
What 'agent-ready' actually means
Four layers between you and the AI buyer.
Most teams stop at the first layer. Agent-driven growth needs all four — and they build on each other.
1 · Machine-readable presence
Structured product and content data, schema, and real-time feeds so an agent can find you, understand exactly what you offer, and represent it accurately — not guess from a webpage.
2 · Transactable surfaces
APIs, pricing, inventory, and a checkout an agent can actually complete a purchase against — tool-style interfaces for software buyers, not just a human UI behind a login.
3 · Verifiable trust
Identity, reliability signals, and fulfillment, returns, and brand claims expressed as data an agent can verify. A broken promise scales: unreliable data teaches agents to avoid you.
4 · Agentic operations
Your own AI agents that sell, answer, recover carts, and support — plus the measurement to attribute agent-driven demand. The agent era is two-sided; you need agents of your own.
What we build
From agent-readable to agent-driven.
Concrete deliverables, wired into the systems you already run — your commerce platform, CRM, ERP, and data.
Agent-readable product layer
DiscoverabilityStructured data, schema, and real-time product/inventory feeds so AI agents and answer engines can read, trust, and recommend your catalog.
Commerce APIs & agent checkout
TransactabilityTool-style endpoints and a checkout flow an agent can complete — pricing, availability, and order placement built for software buyers.
Trust & identity rails
TrustPolicy-as-data for fulfillment and returns, reliability signals, and fraud controls so agents can verify you before they transact.
AI selling & service agents
Your agentsProduction multi-agent systems that sell, answer, recover carts, and serve customers — with governance, evals, and human oversight.
AEO / GEO for the agent era
Be recommendedAnswer-engine and generative-engine optimization so AI assistants surface and cite your business as the answer, not a competitor.
Measurement & governance
ControlAttribution for agent-mediated demand plus the guardrails and model governance to scale safely — measured channel, not a black box.
How we deliver
Assessment to agent-driven, in clear stages.
Agent-readiness assessment — we audit how discoverable, transactable, and trustworthy your business is to today's AI agents, and where the gaps are.
Blueprint & priorities — a sequenced plan that fixes the highest-leverage gaps first, for the fastest agent-driven lift.
Build & integrate — structured data, commerce APIs, agent checkout, and trust signals wired into your existing platform, CRM, and data stack.
Deploy your agents — launch AI selling and service agents with governance, evals, and human oversight built in.
Measure & iterate — attribute agent-mediated demand, then tune the data, the surfaces, and the agents continuously.
20–60%
lower cost to build it right
Enterprise-grade, agent-ready commerce delivered at 20–60% below a comparable US-only build — US strategy and architecture oversight paired with India engineering depth, with a US CTO on every engagement.
Why InWork
Agent-ready commerce is integration and AI work. It's what we do.
Agentic AI in production
We design and ship multi-agent systems that act — plan, execute, and recover — not chatbots that only talk. That's the hard half of agentic commerce.
Integration depth
Making a business buyable by AI is integration work — commerce platforms, CRMs, ERPs, payments, and data. Connecting AI to the systems you already run is our core.
AI-first engineering, US-overseen
An AI-first delivery model with US accountability and a US CTO on every engagement — speed without losing control of quality, trust, or compliance.
20+ years through every platform shift
On-prem, web, cloud, mobile, and now AI-native. We've re-platformed businesses through each wave — agentic commerce is the next one, and we build for it now.
Get the mindset right
Why agentic commerce isn't 'SEO, but for AI.'
FAQ
Agentic commerce, answered.
What is agentic commerce?
Agentic commerce is when an AI agent — inside an assistant like ChatGPT, Gemini, or Copilot — discovers products, compares options, and completes a purchase on a person's behalf, often without ever opening a website. The buyer reasons over structured information instead of browsing pages, which means your business has to be readable, transactable, and trustworthy to software, not just to humans.
How is this different from SEO?
SEO optimizes for keyword matching so a human clicks a link. Agentic commerce optimizes for machine reasoning so an agent can understand your offer, verify it, and act on it. Agents weigh structured data, real-time inventory, fulfillment reliability, and verifiable claims — not meta tags. Treating it as a content refresh misses the point; the work is operational: data, APIs, and trust signals.
What does it take to make my business 'agent-ready'?
Four things: a machine-readable presence (structured product and content data agents can parse), transactable surfaces (APIs, pricing, inventory, and a checkout an agent can actually complete), verifiable trust (identity, reliability, and policies expressed as data, not marketing copy), and agentic operations (your own AI agents that sell and support, plus the measurement to attribute agent-driven demand). InWork builds all four.
Do you build the AI agents too, or just the data layer?
Both. We make your catalog, APIs, and trust signals readable to third-party buying agents, and we build your own production AI agents — to sell, answer questions, recover carts, and serve customers — with governance, evals, and human oversight. We ship multi-agent systems in production today, not demos.
How do you measure agent-driven demand?
We instrument the surfaces agents touch and attribute the orders and conversations they drive, so agentic commerce becomes a measured channel with its own funnel — not a black box. Measurement and governance are built in from the start, the same way we deliver every system.