Sagepilot isn't a tool you install.It's an AI workforce you onboard.
Why we build AI agents for consumer brands.
01
The first order is the easy part
Every consumer brand we know fights hardest for the first order. Ads, influencers, drops. Then the real relationship starts: the shipping question at 1am, the size exchange, the cart that never checked out.
Acquisition gets the strategy and the budget. Everything after the click gets a queue. And whoever answers the queue is deciding, one conversation at a time, whether that customer ever comes back.
Tonight
Where is my order?
1:12 AM
Is the medium back in stock?
2:47 AM
Cart abandoned · ₹4,180
4:03 AM
Do you ship to Dubai?
5:30 AM
+ 38 more moments while you slept
02
Customers moved. Software didn't.
Your customers stopped emailing years ago. They comment on an ad at 1am, DM about sizing, voice-note an address change on WhatsApp. To them it's one relationship, carried across nine surfaces.
The software stayed departmental. A helpdesk for tickets. An ESP for campaigns. A social tool for comments. Each one sees a fragment of the customer, and none of them sees the lifecycle.
ad comments
voice notes
email threads
public mentions
review threads
DMsone customer, nine surfaces
03
AI changes the shape of the work
For the first time, software can do the job instead of organizing it. Look up the order. Issue the refund. Say it warmly, in the customer's language, at 1am. And remember her, so the same intelligence that fixed the charge knows when to win her back.
That isn't a feature on a helpdesk. That's a workforce.
- Verify duplicate charge
- Issue refund
- Send confirmation
04
So we built one
A team of agents, each with a job description. One answers, resolves, and sells in the same conversation. One plans and sends the campaigns that bring shoppers back. One runs the operations behind every order.
And they learn. Tell them something once, the way you would a new hire, and it becomes how they work, with your approval before anything ships.
AI Support Agent answers, resolves, and sells in the same conversation
AI Marketing Agent brings shoppers back
AI Operations Agent runs payments, couriers, refunds, and reconciliation
05
The work goes backstage
A reply is the visible tenth of the job. The order updates in Shopify. The team gets briefed on Slack. Last week's ticket pattern becomes this week's SOP.
With your approval on every change.
Ticket pattern detectedSagepilot
Action approval request
Action summary: Sizes run small on the new denim line. I've drafted a size-guide update and adjusted replies in 2 use cases.
- Team briefed on Slack
06
You set the pace
No one should hand their customers to a black box. Your agents start by drafting, and your team approves every word, watching how they think.
As they prove themselves, you widen the gate. Routine replies first, then refunds, then campaigns. Every decision stays traceable, under rules you set.
01
Review your team approves every reply
02
Assist routine work goes out on its own
03
Autonomous end to end, under your rules
every action traceable
07
Built for consumer brands
We build for the way consumer brands actually run. Restock DMs, festival-sale spikes, warranty claims that live in a homegrown admin panel, workflows no off-the-shelf tool has heard of.
The unglamorous work that decides whether a customer ever comes back.
COD confirmations
Festival sale spikes
Courier chasing
UPI refunds