A multi-channel AI sales system needs workflow, governance, and delivery depth.
These features are framed like a commercial SaaS platform: acquisition, inbox, AI execution, approval, payment review, channel governance, and tenant-level control.
Channel hub
Run official APIs, bridge connectors, and future surfaces through one inbox model while keeping separate risk and governance policies.
AI reception and recommendation
Respond in the customer language, understand intent, recommend products, and draft replies instead of stopping at basic autoresponders.
Quote and sales execution
Move from conversation to pricing, discount review, payment chasing, and order creation without leaving the workspace.
Approval layer
Route discounts, payment proof, order exceptions, and outreach actions into owner or manager review flows with clear state transitions.
Model center
Assign provider, model name, capability, default behavior, and API credentials per tenant so different teams can operate differently.
Commercial auditability
Keep structured records for channel actions, approvals, operational events, and tenant limits to support real rollout and billing later.
If the homepage explains the product in one glance, this section explains why it behaves like a real commercial system.
Commercial teams need control surfaces as much as they need AI responses. The product should say that clearly.