Support repeats the same research
Agents search product information, policies and order state across several systems before they can answer a common question.
Ecommerce operations
AI automation for ecommerce operations
We automate the repetitive work between storefronts, support, CRM and internal systems while keeping refunds, customer promises and sensitive decisions under human control.
Start with one bounded workflow. No automatic actions are added without explicit rules and ownership.
Where work gets stuck
Problems worth fixing before adding another tool
We map the current route, the system of record, exceptions and decision owners before choosing AI, automation or custom code.
Order exceptions are discovered late
Missing details, inventory conflicts and delivery issues move through inboxes without a consistent owner or escalation rule.
Customer data drifts between tools
Storefront, helpdesk, CRM and spreadsheets contain different versions of the same customer or order context.
Delivery path
From a real workflow to a controlled system
The smallest useful phase comes first. Each phase produces something reviewable and can stop without committing to a broad rollout.
Choose one customer journey
Map the request, order or support route with its systems and business owner.
Set policy boundaries
List approved knowledge, prohibited actions and cases that require a person.
Validate on real examples
Test a limited sample for data quality, response accuracy and integration failure.
Release with monitoring
Add alerts, retries, manual correction and documentation before expanding scope.
Expected outcomes
What the team should be able to observe
Faster support preparation
The system gathers approved product, policy and order context and prepares a reviewable answer for the support owner.
Exception-first operations
Normal updates move automatically while refunds, unusual requests and missing data follow a visible human route.
Consistent customer context
Defined fields and events synchronize across systems with duplicate protection and an audit log.
Typical deliverables
What is handed over
- Workflow and data map across storefront, support and CRM
- Approved product and policy knowledge retrieval
- Order or customer event synchronization with duplicate protection
- Exception queues, escalation rules and operational alerts
- Testing scenarios, documentation and ownership handover
FAQ
Questions before scoping
Can you integrate with Shopify and our existing support tools?
We work with systems that expose suitable APIs or webhooks. The first phase verifies permissions, event quality and the exact operations that are safe to automate.
Can an AI agent approve refunds or change orders?
Sensitive financial or customer-impacting actions should remain behind explicit policy and human approval. The system can collect context and prepare the action without executing it autonomously.
Do we need to replace our current tools?
Usually no. The goal is to connect reliable systems and remove manual handoffs, not introduce a new platform without a clear operational reason.
Project fit
Describe one workflow that is slowing the team down
We will identify the data, integrations, exceptions and smallest useful validation before estimating implementation.