Custom AI automation and integration platform that builds bespoke systems to connect business tools and eliminate manual workflows.
AI Commerce is a Business Automation platform that builds bespoke AI integration systems connecting your entire tech stack to eliminate manual workflows, with enterprise pricing available on request via a discovery call. It's designed for mid-market and enterprise operations leaders who need custom AI deployments rather than off-the-shelf SaaS subscriptions.
AI Commerce operates on a "Business in a Box" model, deploying a fully customized suite of AI-powered departments directly into an organization. The process follows three stages: a deep workflow audit (Discover) that maps every process, tool, and data flow; bespoke automation systems (Build) including custom integrations and AI agents tailored to industry-specific operations; and self-learning intelligence (Evolve) powered by custom-built RAG databases that compound in capability over time. The platform integrates with 40+ pre-built platforms including GoHighLevel, Salesforce, HubSpot, Pipedrive, Shopify, WooCommerce, Amazon Seller, Walmart, TikTok Shop, QuickBooks, Xero, Klaviyo, Meta Ads, Google Ads, Zendesk, Slack, Airtable, Zapier, Make, and Tableau, with custom integrations available for any API-accessible system.
Users manage everything through the AI Commerce Command Centre â a unified dashboard tracking automations running, tasks completed, time saved, and an ROI index, with real-time event logs updating every second. Demo examples shown on the platform's website include a Lead Qualification Pipeline on HubSpot displaying 342 events/day and an Order Sync & Fulfilment workflow on Shopify showing 128 events/day â these appear to be illustrative dashboard figures rather than independently verified performance benchmarks. The dashboard also includes a community layer with cohort sessions (e.g., AI Automation Cohort), advanced RAG workshops, and quarterly strategy reviews. Based on our analysis of 870+ AI tools, AI Commerce sits in the bespoke-build segment alongside services like Zapier Enterprise consulting and custom n8n implementations â but distinguishes itself through industry-specific RAG databases that learn from real outcomes rather than generic training data. Compared to off-the-shelf workflow tools like Make or Zapier, it trades self-service convenience for done-for-you implementation depth, making it best suited for businesses where building comparable AI capabilities in-house would require significant engineering investment and extended timelines.
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AI Commerce deploys a fully customized suite of AI-powered departments into an organization, mapping the entire workflow before building anything. Rather than configuring an off-the-shelf product, the team identifies highest-ROI automation opportunities and constructs systems specifically for your industry and operations. This produces outputs that generic AI tools cannot match because they aren't built for the same workflows.
Each deployment is powered by a custom-built Retrieval-Augmented Generation database that ingests business knowledge, industry context, and real workflow outcomes. Unlike static models, these databases continuously update, self-correct, and compound intelligence over time. The website emphasizes that systems learn from "real outcomes, not just training data," producing models that drift toward the business's specific patterns.
AI Commerce ships with native connectors to 40+ platforms across CRM, e-commerce, finance, marketing, productivity, and support â including Salesforce, HubSpot, Shopify, QuickBooks, Klaviyo, and Zendesk. For any platform outside that catalog, the team builds custom integrations against any API-accessible system. This eliminates rip-and-replace migrations and maximizes ROI from the customer's existing tech stack.
A unified control surface providing real-time visibility into every running automation, event log, task queue, and integration status. Live metrics include automations running, tasks completed, time saved, and an ROI index updated every second. The dashboard also embeds community access â cohort sessions, RAG workshops, and strategy reviews â alongside operational data.
Engagements follow a structured methodology: Discover (deep workflow audit measuring every process), Build (construction of bespoke integrations and AI agents), and Evolve (continuous learning from data and outcomes). This staged approach ensures automations are scoped to actual business processes rather than assumptions, and that systems improve rather than degrade post-deployment.
Custom pricing (contact sales)
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As of early 2026, AI Commerce continues to expand its integration catalog and RAG capabilities. The platform's website highlights its Command Centre dashboard with real-time event tracking and community features including AI Automation Cohort sessions and advanced RAG workshops. No major publicly announced product launches or feature releases have been identified for the 2026 cycle beyond continued iteration on its bespoke build model.
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