Faster support.
More time to grow.
We combine AI-assisted workflows with experienced customer support to help e-commerce and SaaS teams answer routine questions, reduce manual work and give complex cases the attention they need
Built around your customers and your workflow
We use AI to assist with reply drafting, ticket triage, conversation summaries and knowledge lookup. Our support team reviews customer-facing drafts, handles exceptions and improves the content and processes behind each response.
Quicker Replies
Help customers get useful answers sooner, with routine topics supported through approved content and workflows.
Less Repetitive Work
Reduce manual searching, copying, tagging and ticket handoffs so your team can spend more time resolving issues.
Consistent Communication
Apply your brand tone and support policies through a maintained knowledge base, response guidance and human review.
Clear Human Ownership
Give exceptions, complaints and cases requiring judgment a defined route to the right person.
Founder-led Support
Ecommerce & Saas
Workflows Tailered To Your Tools
AI Services That Fit Your Support Operation
We select the workflows that suit your business and configure them around your policies, tools and customers.
Email & Chat Replies
AI helps draft answers to product, shipping, account and policy questions. For suitable topics, we can configure automatic replies from approved content across email, chat and other supported messaging channels.
Ticket Triage & Routing
AI helps identify a request’s topic, language and customer sentiment. Defined routing rules then assign the ticket to the appropriate team and flag requests that need prompt attention.
Order & Account Updates
With supported integrations, AI can retrieve order status, tracking and relevant account information. Replies use the information available from connected systems; missing or conflicting updates go to the team.
Eligible Order Actions
We can configure cancellations, address changes or return initiation when your systems and policies allow them. Eligibility checks and approval rules define what can proceed automatically and what needs review.
Agent Assist & Summaries
AI suggests replies, finds relevant help content and summarizes ticket history. Our team checks the suggestions and uses the context to investigate issues, respond clearly and maintain useful handoff notes.
Quality Checks & Insight
AI can help score conversations, flag potential service gaps and group recurring issues. Human review validates the findings and turns them into better support content, workflows and coaching.
Voice & Multilingual Support
Where the selected platform supports it, we can configure AI phone handling and responses in supported languages. Clear escalation rules connect customers to a person when additional help is required.
Pre-purchase Assistance
AI can help shoppers find product information, understand options and receive relevant recommendations. Discounts and other sales actions follow your approved rules and the capabilities of the connected platform.
How we build your AI support workflow
01
Review Your Support
We examine your channels, common requests, policies and existing tools to identify practical automation opportunities and the cases that need human attention.
02
Prepare Knowledge & Access
We examine your channels, common requests, policies and existing tools to identify practical automation opportunities and the cases that need human attention.
03
Test & Launch Gradually
We examine your channels, common requests, policies and existing tools to identify practical automation opportunities and the cases that need human attention.
04
Monitor & Improve
We review conversation quality, customer feedback and recurring issues. Knowledge content, workflow rules and agent guidance are updated as your business changes.
AboutA clear route to your support team
Our team stays involved in draft review, exceptions and quality checks. Requests needing discretionary decisions, specialist investigation or unsupported system access go to a person with the relevant context. Human support coverage follows the service agreement.
Questions Clients Often Ask
Can you work with our existing support tools?
We start with your current setup. Depending on compatibility, we can work with helpdesks such as Zendesk, Gorgias, Intercom and Freshdesk, and supported connections to systems such as Shopify, Stripe and Salesforce.
Will replies match our brand?
We use your approved support content, tone guidance and response examples to shape replies. Human review and ongoing content updates help keep communication aligned with your brand and policies.
What happens when AI cannot resolve a request?
We define when the workflow should ask for more information or pass the case to a person. Complaints, exceptions and specialist issues follow agreed handoff rules, with the conversation context included.
Can AI change orders or handle refunds?
Eligible actions can be configured when supported by your systems. Order status, policy checks and authorization rules determine what can proceed. Requests requiring approval are passed to the appropriate person.
Can automated support run outside business hours?
Enabled automated workflows can respond outside business hours on supported channels. Human staffing, response expectations and escalation coverage are agreed as part of your support service.
How is customer information handled?
We define the required system access and permissions during setup and configure connections through supported methods. Your data-handling requirements, tool settings and applicable service terms are reviewed before rollout.
Real Support scenarios, built for your business
Shipping Update
We examine your channels, common requests, policies and existing tools to identify practical automation opportunities and the cases that need human attention.
Return Request
We examine your channels, common requests, policies and existing tools to identify practical automation opportunities and the cases that need human attention.
Tell us about your support channels, tools and challenges. We’ll identify practical AI use cases and outline an appropriate setup and management scope.