Start with your first live AI department. Your company handles real work while you make the decisions.
Your customer-service team is ready. Open the real channels below and use them from this page.
Run CS Team gives a store real customer entry points: a voice button, website chat widget, hosted support email, service desk, and order-aware setup path. This slice is backed by the public Quiet Little Shop tenant generated from its Shopify storefront.
Put the Run voice button on the storefront so customers can talk to the CS team. The same tenant widget key boots chat and voice, so voice comes with the store context instead of becoming a separate tool.
Put the generated Run chat widget on product pages, checkout, help pages, or account pages. Customers ask from the page they are already on, and the case enters the CS team with tenant context.
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Give customers a hosted support email or connect the inbox they already know. Run turns each inbound email into a case and drafts the reply in the CS workflow.
Same AI identity handles the hosted email channel and opens each inbound email as a CS case.
Open a CS desk or connect Zendesk/helpdesk when the company already has a queue. The value is multi-channel operation: triage, draft replies, priority, and human handoff inside the queue.
Escalation, macros, and human handoff stay inside the company's existing queue.
Zendesk automation: /saas/support-workspace/?tenantId=run-136907715#connect-zendesk CS desk: https://quiet-little-shop.run.ceo/csdesk/
Automate Shopify order access for order lookup, shipping status, post-purchase automation, refunds, returns, and exchanges with approval guardrails.
Order lookup, shipping status, post-purchase automation, refunds, returns, and exchanges with approval guardrails.
Storefront: https://quiet-little-shop.myshopify.com/ Shopify automation: /saas/support-workspace/?tenantId=run-136907715#connect-shopify
Chat, email, helpdesk, and phone become one conversation per customer — no matter how they reach out.
A customer's chat, email, helpdesk ticket, and phone call all merge into one case. The team sees the full thread, not fragments.
When a customer writes in, the team identifies them, finds the relevant order, picks up urgency, and asks for missing info rather than guessing.
Each case is opened, sorted, replied to, paused if waiting, escalated when risky, and closed when wrapped. Nothing falls through.
Answering questions, looking up orders, processing returns — the actual customer-service work, done.
Replies grounded in your FAQ, policies, product info, and past cases. Not made-up answers — answers backed by what's actually true for your store.
Looks up orders, tracking, customer records, and after-sales status. Updates notes and low-risk fields automatically. High-risk changes wait for your OK.
Refunds, returns, exchanges, replacements, and compensation — all within your rules. Anything risky waits for your approval; the AI never makes promises you didn't authorize.
When the AI shouldn't decide on its own, it doesn't. Your team picks up — automatically and with full context.
Complex, sensitive, or out-of-policy cases go to your team with the full conversation, customer history, and the AI's draft reply. No starting from scratch.
What the AI can decide alone, what needs human review, what needs your approval, what should be paused. Defined per store and enforced before every reply.
Every reply spot-checked for tone, accuracy, promises the AI shouldn't make, and policy alignment. Catches problems before customers see them.
What you and your team see when you open the dashboard. Not a wall of tickets — what's happening, what's risky, what to look at.
One screen showing open cases, the queue, risk flags, escalations, and customer context. Your team and you see the same thing.
Past conversations, preferences, promises made, and context — all remembered so customers don't repeat themselves. Your data only; not shared with anyone else.
What happened: how many cases, what they were about, how many got solved without you, what to pay attention to. The numbers that turn into business judgment, not raw counts.
Before you open the team to real customers: are entries reachable, channels connected, knowledge sufficient, fallback in place, key flows verified. A clear go/no-go.
Connect your store, set your policies, ship the support page. The AI team starts answering customers immediately.
Open the operator console to see today's queue, tune settings, or handle escalations.