Automate CRM Data Entry for Client Onboarding

Most professional services firms use a combination of a CRM like Salesforce and a call recording tool like Gong or Fireflies. The native integrations can log that a call occurred, but they cannot parse the conversation's content. An account executive at a consulting firm still has to manually listen to the recording or read the transcript to pull out budget, timeline, key stakeholders, and specific pain points. This manual work is the root of most CRM data quality issues.

A typical scenario involves an account executive finishing a 45-minute discovery call. They now spend another 20 minutes re-typing notes from the Gong transcript into 15 different custom fields in a Salesforce Opportunity. A week later, the client emails a revised scope list. That requires another manual update. The data is constantly out of sync, and sales managers spend their time chasing reps for updates instead of coaching on strategy.

Off-the-shelf CRM AI tools focus on generic sentiment analysis or activity logging. They can tell you a call was positive, but they cannot extract a multi-point scope of work and compare it against the client's Master Service Agreement to flag contradictions. The core architectural problem is that these tools are built for horizontal markets. They lack the specialized logic to understand the unique data structure of a professional services engagement, such as distinguishing between a one-time setup fee and a monthly retainer mentioned in the same sentence.

The first step is a data audit. Syntora connects to your CRM and call recording platform with read-only access to map your specific workflow. We identify the exact custom fields that need to be populated, like 'Proposed Service Tiers' or 'MSA Redline Issues', and the sources for that data, whether it is a Gong transcript, a PDF SOW, or a client email chain. This audit results in a data flow diagram that you approve before any build begins.

The technical approach uses an AI agent built with the Claude API, which excels at extracting structured JSON from unstructured text. This agent runs inside an AWS Lambda function, triggered by a webhook from Gong whenever a new call recording is ready. The agent reads the transcript, extracts the required entities, and validates the data using Pydantic schemas. The validated data is then pushed to the Salesforce or HubSpot API to update the correct opportunity record.

The delivered system operates entirely in the background. Your team uses their existing tools without learning a new interface. Within five minutes of a call ending, the Salesforce opportunity is enriched with a call summary, extracted data points, and an audit trail linking back to the transcript. You receive the complete Python source code and a runbook, all hosted in your own cloud environment, giving you full ownership and control.