Rebuild Your Sales and Marketing Workflow with Custom AI

Most teams start with HubSpot Workflows or Zapier. These are great for simple A-to-B connections, but they fail when business logic gets complex. Zapier's per-task pricing becomes prohibitively expensive for high-volume triggers. A 5-step process that runs for every new lead costs 5 tasks; at 200 leads a day, that is a 30,000-task monthly plan for a single automation.

A regional insurance agency with 6 adjusters tried to automate their lead assignment using a visual builder. A new web lead needed to be checked against an external territory database, validated against a list of covered claim types, and then assigned to the right adjuster's queue in a legacy claims platform. This multi-step API and logic sequence created a fragile chain. When the territory API had a 2-second timeout, the process would fail silently, losing the lead entirely.

These platforms treat every step as an isolated action. They lack proper error handling, retry logic, and the ability to manage state across multiple API calls. This forces you to build defensive, overly complex branching paths that are impossible to debug and expensive to run. The core problem is using a tool designed for simple triggers to run a mission-critical business process.

Syntora's approach begins by thoroughly mapping your existing sales and marketing processes. This initial discovery phase documents every data point, decision path, and manual step within your workflows, often using your CRM as the primary source of truth. For tasks requiring deep analysis of unstructured data, such as refining lead qualification criteria or understanding customer interactions, an approach would involve using APIs like the Claude API to analyze conversation transcripts or customer feedback, informing the logic for new automation.

We engineer the core automation logic as a Python service, typically using a framework like FastAPI for its efficiency and structured development. This allows for clear, maintainable code that handles complex routing and data processing. For integrating external data, such as checking a lead against a suppression list, direct database queries to systems like Supabase or efficient API calls are implemented. We use libraries like httpx for handling asynchronous and parallel API interactions, which helps manage latency when connecting to multiple third-party services.

The developed application is deployed as a serverless function, commonly on AWS Lambda, triggered by an API Gateway endpoint or events from your connected systems. This architecture provides elastic scalability, allowing the system to respond to varying workloads efficiently. Syntora designs these systems to process events, such as new lead submissions, through validation, enrichment, and routing logic, ensuring timely execution.

Operational reliability is built-in. All system activities are logged with detailed context using structlog, creating a fully auditable trail. Should an API call to a crucial platform fail after multiple automated retries, the system is designed to send the failed event to a dead-letter queue and trigger alerts, for example, via Slack. This mechanism ensures no critical data or lead information is lost due to temporary external service disruptions.