Get a Done-for-You AI System for Your Internal Ops

Most operations teams rely on a combination of task managers like Asana, spreadsheets, and email. While Asana is effective for tracking project status, it cannot execute tasks. An onboarding checklist item like "Create Slack account" still requires a person to manually log into Slack and create the account. There is no actual automation.

Some teams try to bridge this gap with Google Apps Script. A script can connect a Google Sheet to Google Calendar to create invites automatically. The problem is that these scripts are brittle and fail silently. If a team member adds a new column to the spreadsheet, the script breaks. You only discover the failure when a new hire misses their first-week meetings because the invites were never created.

Consider a 30-person company's new hire process. An ops manager gets an email from HR. They manually create accounts in Google Workspace, Slack, and the company HRIS. They then add the new hire to 7 default Slack channels and schedule 5 introductory meetings on their calendar. This is a 45-minute, error-prone sequence of clicks and data entry for every single person who joins.

The structural issue is that these tools are designed for human collaboration, not autonomous execution. Their APIs can create and update items, but they lack the logic to manage a multi-step, cross-platform process. They have no state management, so they cannot pause a workflow for approval or retry a step if an external service is temporarily down. This forces a human to act as the glue between systems, creating constant operational drag.

The first step is a process audit. Syntora would map your existing onboarding or procurement workflow, identifying every manual action and decision point. We review the APIs for each system involved, like Gusto for HR, Google Workspace for IT, and Slack for communication. You receive a technical plan detailing the proposed automation, data flow, and a fixed timeline, typically a 2-4 week build.

The core of the system would be a state machine built on AWS Lambda and managed by AWS Step Functions. This architecture is crucial for long-running, multi-step processes like onboarding that can take days to complete. A FastAPI service acts as the central API gateway, receiving triggers from webhooks. For document processing, like extracting data from a vendor W-9 PDF, we would use the Claude API's tool_use capability to get structured JSON with over 99% accuracy. All workflow status is tracked in a Supabase PostgreSQL database.

The delivered system runs autonomously. A new hire added to your HRIS automatically triggers account creation, calendar setup, and a welcome message in Slack, all completed within 60 seconds. You get a real-time monitoring dashboard showing the status of every workflow. The full Python source code is delivered to your GitHub, along with a runbook. The entire infrastructure runs for under $50 per month on AWS.