Business know-how, working across every AI surface.

Agenfra helps businesses turn approved knowledge, offers, policies, services, and workflows into Business AI/UX: governed AI experiences that can answer, recommend, qualify, route, and act.

The interface is no longer only your website.

Customers now ask questions through search engines, AI assistants, social DMs, partner tools, marketplaces, and owned apps. Agenfra gives those surfaces a governed way to understand your business and guide the next step.

Business AI/UX

Your business know-how becomes the experience.

Business AI/UX is the experience layer around AI: how customers move from a question to an answer, recommendation, workflow, handoff, or transaction using your approved business intelligence.

AI Presence Layer

One source of truth for AI systems.

Agenfra organizes products, services, policies, offers, claims, use cases, and boundaries so AI search systems and agents can understand when your business is relevant.

Owned Surfaces

Guide customers where your business already operates.

Website chat, app experiences, support flows, sales journeys, and commerce paths can share context instead of treating every question like a new conversation.

External Agents

Show up beyond your website.

Partner agents, creator agents, marketplaces, AI answer engines, and customer tools need clear signals about what your business does and what actions are available.

MCP Integrations

Connect answers to approved action.

MCP-ready integrations help agents route, qualify, recommend, book, transact, update systems, and escalate to humans without losing governance.

From AI question to business outcome.

Ask

A customer asks AI search, a website chat, a partner agent, or a creator agent what to do next.

Understand

Agenfra grounds the answer in approved business knowledge, offers, rules, and surface context.

Guide

The experience moves from answer to recommendation, qualification, handoff, or transaction.

Improve

Conversation evidence, visibility gaps, and outcomes feed the next improvement loop.