Build an Internal AI Tool Your Team Actually Uses

Many SMBs start by trying to use public versions of ChatGPT for business tasks. An employee will copy-paste customer support tickets or sales emails into the chat window to get summaries or draft replies. This approach fails because it is not secure, requires constant manual effort, and has no memory of your business context or previous interactions.

A common next step is hiring a freelance developer to write a script. They often deliver a Python script in a Jupyter Notebook that works on their machine. But this is not a production system. It has no user interface for your team, no API to connect to your other tools, and no error handling. When an input format changes or an API key expires, the script crashes silently.

Consider a 15-person e-commerce company trying to categorize 2,000 support tickets a month from Intercom. The manual copy-paste into ChatGPT takes one person 10 hours a week. A freelancer's script they bought for a one-time fee fails on any ticket containing an emoji or an attachment, processing only 60% of the volume before it needs to be manually restarted.

Syntora would begin by auditing your current workflow and connecting to your source systems. For an initiative like a support ticket analyzer, we would use official API clients, such as the Intercom Python SDK, to pull historical conversation data. This data would be staged in a Supabase Postgres database, providing a clean, structured dataset for analysis.

The core of the system would be a FastAPI service containing the business logic. This service would expose an endpoint to accept data, format it into a specific prompt for the Claude 3 Sonnet API, and parse the structured JSON response. We would use Pydantic for strict data validation, ensuring that malformed data is logged and handled gracefully.

This FastAPI service would be containerized using Docker and deployed as a serverless function on AWS Lambda. This architecture incurs no cost when idle and scales automatically to handle traffic spikes. An Amazon API Gateway would provide a secure REST endpoint with API key authentication.

Syntora can develop a simple front-end dashboard on Vercel, allowing your team to log in with their Google accounts via Supabase Auth. This dashboard would provide role-based access control, allowing team members to submit single items or upload a CSV for batch processing. Results would be displayed in a filterable table and could be exported. Total monthly infrastructure costs for such a system are typically under $40.

A typical build timeline for a system of this complexity, from discovery to deployment, would range from 6 to 10 weeks. Your team would need to provide access to relevant source systems and participate in regular feedback sessions. Deliverables would include the deployed system, source code, and documentation.