A Done-For-You AI Engagement for Client Onboarding

Most service businesses manage onboarding with a combination of their CRM and a project management tool like Asana. HubSpot Service Hub can trigger a task list when a deal closes, but its automation is rule-based. It cannot read a signed contract to understand which specific services were purchased, forcing an account manager to manually configure the project every time.

For example, a 15-person marketing agency signs a new client via Docusign. The account manager must manually read the 10-page PDF, create a new client folder in Google Drive, and then build a new project in Asana from a template. They have to add or remove tasks based on the contract's scope, a process that takes over an hour and is highly prone to error. This manual step delays project kickoff by at least a day, creating a poor first impression.

Dedicated onboarding tools like GuideCX provide customer-facing checklists but create another data silo. They do not integrate deeply with the CRM to pull service details or with billing systems like Stripe to confirm a deposit was paid before work begins. Your team is left toggling between three different systems, copy-pasting information to keep everything in sync.

The structural problem is that these platforms are designed for human-in-the-loop workflows. Their automation assumes a person will read the unstructured data from contracts and forms, then translate it into structured tasks. They cannot handle the inherent variability of professional services, where each client engagement is slightly different.

An engagement with Syntora would begin with a thorough audit of your current client intake process. We would map every step from a signed contract in Docusign to the first bill in Stripe and the project kickoff in your CRM. This discovery phase identifies the specific data points needed to automate the entire workflow and results in a clear data schema before any build begins.

The technical approach would use an event-driven architecture. The core system would be a FastAPI service deployed on AWS Lambda. When a contract is signed, a webhook triggers the function. The Claude API then parses the contract PDF to extract key entities like client name, services purchased, and total value. Pydantic models validate this extracted data before it is sent to your other systems. This entire process executes in under 5 seconds for a cost of less than $15 per month.

The delivered system is headless and integrates directly with your current tools. Your team does not need to learn new software. They see a new project, fully configured, appear in their CRM moments after a client signs. You receive the full Python source code in your GitHub, a runbook for maintenance, and a monitoring dashboard in AWS CloudWatch to track performance and accuracy, which typically exceeds a 99% success rate.