Useful agents are product features, not demos.
Reach for Ingram Cloud when an agent needs customer-specific memory, real tools, delivery channels, and a record your operators can trust after it acts. Here’s what that looks like in practice.
Support that can actually do the work
Answer from your product data, look up the order, draft the fix, and pause for a human before anything irreversible — refunds, credits, account changes.
- Grounded in your data and tools, not just the model's training
- Human approval gates the actions that warrant it
- Every resolution is a replayable, costed run
A private copilot per customer
Give every user their own assistant across Slack, WhatsApp, Telegram, and email — with the same memory wherever they write, and nothing crossing between them.
- One isolated smith per end-user, memory included
- Built-in channels — deploy once, reachable everywhere
- Returning users are remembered, not re-introduced
Workflows with a record
Let agents triage leads, chase missing details, reconcile tickets, and call your internal tools — without losing the audit trail that lets you trust the result.
- Server-side tools and MCP, connected once
- Signed lifecycle events into your own systems
- Per-run cost attribution and budgets
AI features for your product
Ship copilots inside your app without building per-user memory, OAuth storage, approvals, tracing, budgets, and metering yourself. Meter and bill your own customers on top.
- OpenAI-compatible — keep the SDK you already use
- Per-project isolation with scoped tokens
- Usage you can meter and re-bill
Pick a shape and start building.
Each of these is one agent design, run as a private smith per person — with its own memory, its own tools, and a record of everything it does.