Algomo positions itself against the usual shape of an AI agent deployment, where a forward-deployed engineer spends months wiring the agent into internal systems and translating business requirements into agent behaviour. Algomo's approach is to have the agent do both jobs: it reads the endpoints your pages call, builds tools from them, and rebuilds those mappings when a redesign breaks something. One snippet is enough to go live, and systems behind a login are connected with Algomo's help.
The second pillar is co-navigation. Instead of a floating chat box that only talks, the assistant shares a session with the page: it knows which page the visitor is on and what they have seen or searched, and it can filter a list, apply a code, add to a basket or hold a booking directly on the interface. Widgets return real components — product cards, baskets, booking panels — not just text. Multi-agent support lets one agent invoke another to finish a task and carry on with the result.
Algomo is also built to be run by AI tools. Through MCP, Claude, ChatGPT, Codex or Cursor can see and change whatever the dashboard can, so you can describe a change in plain language and have it land. Every change is staged in a session with a diff and history, and there is a full trace of every workflow run. Industry templates cover retail and ecommerce, B2B SaaS, travel and hospitality, financial services, fitness and wellness, and home and field services.
