AI chatbot and copilot for support, parenting, and sales

Built an AI assistant that diagnoses issues, creates Jira tickets, answers complex questions, and recommends products.

Challenge

Support and sales teams handled repeated questions, but still needed product context, issue tags, and accurate recommendations.

Solution

Combined a custom knowledge base, context-aware tagging, automated diagnosis, ticket generation, and human handoff.

Outcome

Manual support workload dropped by 90%, while AI became both first-line support and an automated sales assistant.

Build notes

What mattered most

Three areas that matter most when products gain users and teams need to move quickly.

90% support workload reduction

Context-aware Jira tickets

Automated first-line support

Interface

Products should be easy to use repeatedly: clear states, visible primary information, and important actions that do not get buried.

API

Backend systems need stable contracts: payload validation, schemas that can grow, external integrations, and observability that helps debugging.

Delivery

Healthy delivery combines CI/CD, clear ownership, and iteration based on usage data and team feedback.

Cloud Native +Microservices +AI Copilot +Secure APIs +CI/CD +Product Strategy +Mobile Apps +High Concurrency +Cloud Native +Microservices +AI Copilot +Secure APIs +CI/CD +Product Strategy +Mobile Apps +High Concurrency +

More work

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