Ops-first
Operators
Your catalog runs on spreadsheets, ERP exports, or legacy systems. That is fine. We make it machine-native without touching your ops workflow.
Agent-ready infrastructure
By 2027, AI agents, not humans, will execute millions of B2B purchases, reorders, and procurement decisions autonomously. If your catalog, pricing, and checkout are not machine-readable, agents skip you. Permanently. Agentmatica makes your business visible, readable, and purchasable to the agentic web without rebuilding a thing.
Trusted by operators, wholesalers, and growth teams
Why now
OpenAI's Operator. Google's Gemini agents. Autonomous procurement bots. They do not browse, they query, evaluate, and transact in milliseconds. If your business returns broken schemas, missing pricing signals, or CAPTCHA walls, agents classify you as non-executable and move to a competitor who is ready. This is not a future problem. Agent-driven commerce is happening now in industrial supply chains, wholesale distribution, and B2B procurement.
Human commerce
Built for clicks
A human can understand your UI. An AI buyer still cannot reliably read price, inventory, policies, and transaction steps without explicit machine contracts.
Built for execution
Once your commerce logic is structured and exposed correctly, agent buyers can retrieve, reason, and purchase without manual back-and-forth.
Agentic commerce
product.schema.json
{
"sku": "A-1042",
"price": 1299,
"inventory": 37,
"shippingETA": "48h",
"agentReady": true
}Agent Contract
payment.terms: verified
checkout.endpoint: active
negotiation.rules: constrained
Best fit
If your business depends on complex catalogs, negotiated pricing, and repeat orders, this is where your stack becomes discoverable and executable for AI agents.
Ops-first
Your catalog runs on spreadsheets, ERP exports, or legacy systems. That is fine. We make it machine-native without touching your ops workflow.
B2B-ready
You have 10,000 SKUs, negotiated tiers, and repeat buyers. That is exactly the kind of complexity AI agents are built to navigate if your data is structured correctly.
Revenue mode
Your competitors are not ready yet. That window closes faster than you think. First-mover advantage in agent commerce is real and measurable.
We do not do cosmetic AI. If you are not ready to treat agent buyers as a real revenue channel, we are not the right partner yet.
Workflow
We don’t hand over another dashboard. We retrofit your current stack with a machine-native execution layer that AI buyers can trust and transact with.
AI agents hit your website. No structured data, no API, no way in. They bounce.
What Happens Next
Each phase is visible, measurable, and designed to ship quickly. Tabs rotate automatically, and you can click any stage to inspect it.
Audit queue
01Engagement
Start with a diagnostic entry point, then move into full agent infrastructure once you know exactly where the blockers and upside sit.
Understand exactly where you stand before committing to a build.
Best first step if you need clarity before implementation.
Full execution layer. Live in 8-12 weeks.
Built for teams ready to open agent commerce as a real channel.
For enterprise operations requiring custom governance, deep integrations, and priority execution.
Minimum engagement starts with a scoped implementation plan.
Testimonials
Specific outcomes, faster launches, and measurable proof that agent commerce can become a real B2B revenue channel.
“Within 60 days of going live, our Gemini-sourced RFQs increased 3x. We did not change a single page on our frontend.”
“We had 15 years of custom ERP. They built a clean agent layer on top in 8 weeks. Zero disruption to our ops team. Agent-driven reorders are now 22% of monthly volume.”
“We stopped losing high-intent B2B buyers to manual friction. Once our pricing and inventory became machine-readable, agent-sourced orders became a measurable pipeline.”
“Within 60 days of going live, our Gemini-sourced RFQs increased 3x. We did not change a single page on our frontend.”
“We had 15 years of custom ERP. They built a clean agent layer on top in 8 weeks. Zero disruption to our ops team. Agent-driven reorders are now 22% of monthly volume.”
“We stopped losing high-intent B2B buyers to manual friction. Once our pricing and inventory became machine-readable, agent-sourced orders became a measurable pipeline.”
Trusted by leaders from
Your commerce layer becomes machine-executable. AI agents can read catalog, pricing, availability, and terms in structured formats, then complete actions without fragile scraping.
No. We can keep your existing frontend and integrate an agent-facing layer behind it. If you are replatforming, we design the stack agent-native from day one.
Minimal. We work directly with your ops, product, and tech stakeholders and handle the architecture and integration detail. Your team governs business rules and priorities.
Most projects ship in 6-12 weeks depending on system complexity, data quality, and approval velocity. We define milestones during the initial audit phase.
Traditional agencies optimize presentation. We optimize transactionability for autonomous buyers. The output is not only a better UI, but a programmable commerce interface.
Agent commerce is a new channel. Like SEO in the early days, the businesses that show up first capture disproportionate share. The ROI case is built around agent-sourced orders, faster reorders, and lower manual handling across B2B buying flows.
You do. Entirely. We do not lock you into proprietary platforms. Everything we build is yours, documented, transferable, and auditable.
We scan your site, flag every blocker, and show you exactly what AI buyers see when they try to transact with your business. If you want to talk it through live, schedule a meeting. No commitment. No sales call unless you want one.
Or email us at info@agentmatica.com