Your AI workforce, built into your platform.
Not another chatbot: task-specific agents that do real work. Support, merchandising, SEO/AEO, and inventory & demand agents, trained on your business and connected to your real tools, running 24/7 with a human approving the important actions.
What are custom AI agents?
Custom AI agents are AI workers built into your commerce platform to complete specific jobs: answering support tickets, optimizing merchandising, generating SEO/AEO content, or projecting stockouts and drafting the restock orders to cover them. Unlike a generic chatbot, each is trained on your business and connected to your real tools and data via MCP, with a human approving the important actions and quality gates on every change, so the work is reliable, not risky.
Agents we build
Customer support agent
Resolves common tickets end to end (order status, returns, product questions), resolving 70 to 90% on its own and handing the rest to your team with context.
Explore thisMerchandising agent
Optimizes collections, promotions, and product placement from live signals: merchandising that adjusts itself continuously.
Explore thisSEO / AEO agent
Generates and optimizes content for search and AI answer engines: keeping your catalog and content discoverable.
Explore thisInventory & demand agent
Projects stockouts from live sales velocity, surfaces the demand your order data can't see, and drafts restock orders for your approval: answers and alerts included, without waiting on a report.
Explore thisConnected to your real tools
Each agent is trained on your business and wired to your real tools and data via MCP (Model Context Protocol).
A human stays in control
A human approves the important actions, and every change is tested against quality gates. Measured quality, not blind automation.
Real work completed: 24/7 and measured.
Agents earn their place by doing work, not chatting. We deploy them with oversight and prove the outcomes.
Discovery, build, certify, scale.
A senior-led delivery model built for revenue-critical commerce: predictable and transparent.
Discovery
We map the workflow, the constraints, and the compliance surface before a line of code.
Build
Senior engineers ship in two-week sprints. You see working software, not status decks.
Verify
Security and compliance are tested as we go (ADA/WCAG, PCI DSS, SOC 2 controls), never bolted on at the end.
Scale
We harden, instrument, and hand over, or stay on as your embedded product team.
Questions buyers ask us first
A chatbot talks; an agent does. Our agents are task-specific and connected to your tools via MCP, so they complete real work: resolving tickets, updating merchandising, generating content, with oversight, not just answering questions.
A human reviews customer-facing actions, and quality gates test every deployment. Agents operate within guardrails, and anything uncertain is escalated to a person with full context.
Usually outcome or hybrid pricing: a build fee plus a monthly run, and often a per-outcome component. You're paying for completed work, which aligns our incentives with yours.
Support is the most common starting point because resolved tickets are easy to measure and the ROI is immediate. Merchandising, SEO/AEO, and inventory & demand agents typically follow.
Most demand tools need years of order history before they say anything useful. Ours blends actual sales velocity with leading indicators: add-to-carts and searches, so it produces workable projections on a store with thin order data. It also surfaces demand your orders can't show you: the searches that returned nothing. If forty people looked for a product last week and you don't stock it, that never appears in your sales data, because those shoppers left.
Yes, that's what MCP is for. We connect agents to your commerce platform, support desk, analytics, and other tools so they act on live data. Clean integrations make this far smoother, which is where our Integrations service helps.
Put an AI workforce to work in your business.
Book a free strategy session and we'll identify the highest-ROI agent to build first, and how we'd measure the work it completes.