AI Chatbot + Data Entry Automation for AI Startup

A 12-person AI startup was pasting form submissions into their CRM by hand. I shipped a support chatbot plus intake automation so repetitive questions and data entry stopped consuming ops time.

Client problem

This team had product traction and a support inbox that did not scale. Customers asked the same onboarding questions repeatedly. Every demo request, trial signup, and partner inquiry meant someone opened the CRM, created a record, and copied fields from a form — often with typos.

After-hours messages piled up until morning. They needed two things working together: deflect repetitive questions automatically, and stop treating form submissions like a typing test.

Solution delivered

Support chatbot trained on their docs, pricing page, and top support tickets — with escalation to a human and full conversation context when confidence is low.

Intake automation: form submissions map to CRM fields automatically, with validation for bad emails and duplicates.

Human handoff: when the bot cannot answer, it creates a tagged ticket and notifies on-call via Slack with the transcript.

Built against their existing stack rather than forcing a platform swap.

Integrations and scope

OpenAI API, existing CRM APIs, embedded chat widget, Typeform/website forms, Slack.

Verified outcome

Ops time spent on repetitive FAQs and form-to-CRM typing dropped substantially; common questions get an immediate bot response with human escalation when needed.

Percentage reductions and escalation rates should be confirmed from client metrics before citing publicly.

Ongoing responsibilities

Prompt/training-set improvements, new FAQ coverage, CRM field changes, and monitoring for failed syncs are natural ongoing responsibilities.