Custom AI Customer Support Agent Development

Traditional chatbots follow rigid decision trees and provide pre-written answers. Custom AI support agents evaluate natural language intent, query live database records across Shopify and your ERP, decide appropriate actions against defined business rules, and execute real tasks such as issuing return labels, modifying order addresses, or updating subscription frequencies directly in your help desk.

In structured queues covering order status lookups, return authorizations, shipping address corrections, product usage guidance, and subscription management, custom agents resolve 65 percent to 80 percent of volume autonomously without human agent intervention.

When an inquiry falls outside predefined tool parameters, involves negative customer sentiment, or requires custom financial exceptions above authorized limits, the agent immediately routes the conversation to a human specialist in Zendesk, Gorgias, or Slack, providing an executive summary of the issue and relevant customer records.

Yes. The agent provides native multi-lingual support in English and Spanish, automatically detecting customer language, referencing translated knowledge base documentation, and responding in the customer native language with high contextual accuracy.

We engineer native bi-directional connectors for Zendesk, Gorgias, Intercom, Freshdesk, Front, Salesforce Service Cloud, and Kustomer via webhooks and REST APIs.

The agent utilizes secure Shopify Admin GraphQL APIs to query customer order histories, verify inventory locations, check fulfillment carrier tracking numbers, and initiate approved return merchandise authorizations.

Yes. Through Retrieval Augmented Generation (RAG) backed by pgvector or Pinecone, the agent references your real-time return policies, shipping terms, warranties, and technical product manuals without requiring model fine-tuning.

We build custom Model Context Protocol (MCP) connectors and secure API endpoints connecting to NetSuite, Microsoft Dynamics 365, SAP, ShipBob, and custom warehouse management databases.

Safety is enforced at the tool and code execution layer rather than prompt text alone. We implement strict JSON schema validation, transaction dollar limits (e.g. maximum $50 refund cap without human sign-off), field-level database write restrictions, and immutable audit logs.

All AI reasoning calls utilize enterprise zero-data-retention agreements with Anthropic and OpenAI. Customer personal data is processed inside your private cloud security perimeter and is never utilized to train public foundation models.

We build an automated regression testing harness that runs against 500 or more historical closed tickets from your own help desk, measuring precision, tool calling accuracy, tone alignment, and escalation reliability before customer traffic is routed.

The architecture complies with SOC 2 Type II controls, California Consumer Privacy Act (CCPA/CPRA) regulations, and PCI DSS standards by tokenizing sensitive customer payment information.

A production-ready customer support agent connected to your help desk, commerce platform, and knowledge base is delivered in 3 to 5 weeks across discovery, connector engineering, shadow evaluation, and gradual rollout phases.

During shadow mode, the AI agent processes live incoming tickets in real time and drafts suggested resolutions internally for human agent review. Once human approval rates exceed 95 percent, autonomous sending is activated for selected ticket categories.

You own 100 percent of the Git repository, prompt templates, evaluation datasets, and cloud infrastructure. We hand over complete documentation and deployment assets upon completion.

You can book a 30-minute discovery call directly with founder Bhavesh Barot. We will audit your current ticket volume, resolution times, and deliver a fixed-price implementation proposal.