Build Custom AI for Client Onboarding

Many small businesses run their client onboarding process with a mix of CRM workflows and manual steps. A tool like HubSpot Workflows is effective for linear, internal sequences like sending a series of emails. But it becomes brittle when the process needs to cross system boundaries. Onboarding a new client often requires creating a project in Asana, a folder in Google Drive using a specific template, and checking a payment status in Stripe. Chaining these external actions together in a CRM workflow is unreliable and lacks robust error handling.

This forces the team back to manual processes. Consider a 15-person agency signing a new client. The Account Manager receives a signed PDF contract via email. They manually update the deal in the CRM, create a client folder from a template in Google Drive, set up a project in the task management tool, and send a welcome email with a scheduling link. This chain of copy-paste actions takes 30 minutes per client and is highly prone to error. Last week, a missed step delayed a project kickoff by two days.

The structural problem is that off-the-shelf tools are designed for excellence in a single domain. HubSpot manages customer data. Asana manages tasks. Google Drive manages files. They provide basic APIs and webhooks, but they are not built to orchestrate a conditional, multi-step process that spans all three. The system's logic lives in a checklist in someone's head, making the process slow, expensive, and fragile.

The engagement would start with a discovery phase to audit your current onboarding process. We map every step, from a signed contract in your inbox to the final project kickoff notification. Syntora documents which tools hold which data and identifies the triggers and failure points in your current manual workflow. You receive a detailed architecture diagram and data flow map for approval before any code is written.

The core of the system would be a Python service built with FastAPI, deployed on AWS Lambda for high availability and low cost. When a deal is marked 'Closed Won' in your CRM, a webhook triggers the service. The service uses the Claude API to parse the client name, project scope, and key dates directly from the signed contract PDF. We have built similar Claude-based document processing pipelines for financial reports, and this same pattern of structured data extraction applies directly to client contracts. This data is logged to a Supabase PostgreSQL database for audit and reporting purposes.

The delivered system executes the full onboarding sequence in under 10 seconds. It creates a templated folder in Google Drive via the Google Workspace API, sets up a project in your task manager, and sends a formatted welcome email. The system runs automatically with hosting costs typically under $50 per month. You receive the full source code in your GitHub repository and a runbook for maintenance.