The sale already closed. What happens next decides if the customer buys again.
Order status, returns, invoicing — post-sale is where support volume concentrates, and where a customer decides whether they'll buy from you again. StudioChat clones how the best post-sale rep already resolves it, and runs it 24/7 across whatever channel the customer is already using.
Every task in the post-sale journey, handled with AI.
Order status, returns and invoicing don't stop at 6pm — and they spike hardest during peak season, exactly when your team is stretched thinnest.
Order status & shipping
Pulls live carrier and OMS data to answer "where's my order" the instant it's asked — no ticket, no wait.
Returns & exchanges
Walks the customer through eligibility, generates the label, and confirms next steps.
Invoicing
Handles compliant invoice requests end to end — a high-effort, repetitive ticket type across LatAm.
Warranty claims
Diagnoses the issue, checks coverage, and starts the claim without a back-and-forth.
Post-purchase upsell
Suggests the complementary product or the upgrade in the same conversation.
Payment disputes
Handles chargebacks and billing disputes with the transaction data already attached.
WhatsApp, email, and more channels
Answers wherever the customer already reached out, in one consistent voice.
Peak-season spikes
Absorbs seasonal volume without a seasonal hiring plan.
Not another order-lookup bot. Your best post-sale rep, cloned.
Most post-sale tools stop at "where's my order." We start from the person on your team who already resolves returns, invoicing and disputes well, and clone the whole journey.
Trained on your real playbooks, not a script.
We capture how the best post-sale rep already resolves a delayed order or a return — tone included — and layer in the best practices we've seen across post-sale, by industry.
Owns the whole post-sale journey.
Tracking, returns, invoicing, warranty and disputes in one assistant, not five point tools each owning one step.
One voice across WhatsApp, email, and more channels.
Same context and tone regardless of which channel the customer picks — and no seasonal hiring plan needed for peak.
Security at every layer, from the model to the client's data.
LLM security, agent security, client control, and infrastructure aren't the same layer — each protects something different, and the agent leaves a trail of everything it does along the way.
A protective layer around the model.
A language model can make the wrong call — delete something it shouldn't, invent data that doesn't exist (like a bank account number), or let spend spiral out of control. Guardrails validate what the agent is about to answer before it answers, automatically or manually, covering hallucinations and prompt injection.
The same guardrail running in production, available to test.
We can host the guardrail we use today so your security team can test it directly, instead of taking our word for it.
The model never sees another user's data.
The logic that decides what information to bring into each conversation lives in code, not in the model — it's not a guardrail, it's the default architecture. A deterministic agent can't cross data between users or reach beyond what belongs to that conversation.
The client decides what information reaches StudioChat.
Every integration goes through a middleware layer the client configures — StudioChat can't see the data the client chooses not to share. Control stays on the client's side, by design.
The standards you'd expect from a cloud platform.
Encryption in transit and at rest, retention configurable by the client, two-factor authentication for every user, and full traceability of every change made to an assistant — versioned, with a record of who did it.
The agent explains what it does, why, and where each fact comes from.
The most common fear is that the agent does something and no one finds out. That's why every answer comes with its reasoning and its citations — no black box acting without leaving a trace.
"A post-sale assistant that handles the entire journey after purchase — billing, order tracking, shipping, and returns — end to end."
Questions post-sale teams actually ask.
What exactly does "post-sale" cover?
Any ticket type that shows up after checkout — for example: order status and shipping, returns and exchanges, invoicing, warranty claims, and payment disputes. Actual coverage depends on the playbooks the assistant is trained on, not a fixed list.
Does it replace our helpdesk?
No. StudioChat plugs into the helpdesk you already run — Intercom, Zendesk, or whichever you use — as a non-human agent, not a replacement platform.
Can it adapt to tasks that require integrating with other tools or local market rules?
Yes. Invoicing is a good example — it varies by country (like SAT rules in Mexico) and requires integrating with the systems already in use — but the same approach applies to any task that depends on an external tool or a specific local rule. It's configured per customer, end to end, the same way it runs for Avera.
How is it priced?
Outcome-based: you pay per resolved task, not per seat, not for setup.
Do you have a reference customer for post-sale?
Yes — Avera (avera.mx), a Mexican ecommerce brand, runs its entire post-sale journey (invoicing, tracking, shipping, returns) on a single StudioChat assistant.