Choose a Workflow Automation Partner Who Writes Production Code
Choose the company that shows you production code they wrote for a similar problem. Verify the person on the sales call is the engineer who will build your system.
The right partner depends on your workflow's complexity. Connecting HubSpot to Slack is a simple task. Integrating your CRM with a custom ERP to check inventory, calculate commissions, and update finance records is a core business process that requires real engineering.
We built a document processing pipeline for a 12-person recruiting firm. They were manually entering 400 resumes per month into their CRM. We deployed a system using the Claude API that extracts data and creates a candidate record in 8 seconds, down from 6 minutes of manual work. The entire build took 3 weeks.
What Problem Does This Solve?
Off-the-shelf integration platforms work well for simple, linear tasks. They fail when workflows require complex business logic, custom error handling, or connections to internal tools. Their per-task pricing model also penalizes growth; a successful marketing campaign can triple your bill overnight.
A typical failure scenario involves a multi-step check. A 25-person e-commerce company needs to check a new customer's tier in their CRM and then check product inventory in a custom ERP before confirming an order. A visual builder forces this into two separate, branching paths. Any change to the logic, like adding a new customer tier, must be duplicated in both branches, doubling the work and inviting errors.
These platforms are not designed for business-critical processes. They lack version control, making it impossible to roll back a bad change. Their generic error notifications cannot distinguish between a temporary API outage and a permanent data mapping issue, leading to silent failures that corrupt your CRM data over weeks.
How Does It Work?
Our process begins with mapping the entire workflow, including all the edge cases and failure points. We use httpx to make live test calls against your CRM and marketing tool APIs to understand their schemas, rate limits, and authentication. This discovery phase ensures the final build handles your actual business logic, not just a simplified diagram.
We write the core workflow as a Python service using FastAPI. A multi-step process with branching logic that required 10 duplicate steps in a visual builder becomes a single 20-line Python function. Asynchronous httpx calls allow us to query multiple systems in parallel, reducing a sequence that took 12 seconds in a platform's queue to a single 400ms transaction. We cache static data in a Supabase database to minimize redundant API calls.
The FastAPI service is deployed on AWS Lambda, which is entirely event-driven. This architecture means you are not paying for an always-on server; you only pay for the milliseconds the code is running. For a system processing 10,000 lead updates per month, typical hosting costs are under $50, a fraction of a $400/month platform subscription. A standard build cycle for this integration is 3 weeks.
We build production-ready systems, which includes monitoring. Every workflow event is logged with structlog, providing a full audit trail. If an external API returns an error, the system automatically retries and sends an alert to a dedicated Slack channel if the failure persists. This gives us 99.9% operational uptime and lets us resolve issues before they impact your business.
What Are the Key Benefits?
Your Critical Workflow is Live in 3 Weeks
A typical CRM-to-marketing integration takes 15 business days from discovery to production. No lengthy sales cycles or project management overhead.
Pay for Engineering, Not Per-Task Markups
A fixed-price build and optional flat monthly maintenance means predictable costs. You are not penalized with higher fees for growing your lead volume.
You Get the Full Source Code in Your GitHub
We deliver the complete Python codebase, documentation, and deployment scripts. You have zero vendor lock-in and can have any engineer extend it later.
Alerts Fire on Failure, Not After
We build in real-time monitoring with structlog and AWS CloudWatch. You get notified of API errors instantly, not when a customer complains.
Integrates Any Tool with an API
We directly connect to your CRM, ERP, and industry-specific platforms using Python and httpx, bypassing the limitations of pre-built connectors.
What Does the Process Look Like?
Week 1: System Discovery & Access
You provide API keys and walk us through the exact workflow. We deliver a technical specification outlining the data flow, API endpoints, and logic.
Week 2: Core Logic Development
We write the Python code for the workflow logic. You receive a private GitHub link to review the code as it is committed daily.
Week 3: Deployment & Testing
We deploy the system to your AWS Lambda environment and connect it to your live tools. You receive a testing plan to validate the workflow with real data.
Week 4 & Beyond: Handoff & Support
After a 1-week monitoring period, we hand over the final codebase and a runbook. You can then opt into a flat monthly maintenance plan for ongoing support.
Frequently Asked Questions
- What factors determine the project cost and timeline?
- The primary factors are the number of systems to integrate, the complexity of the business logic, and the quality of the API documentation. A simple two-system connection with clear rules might take two weeks. A multi-step process involving a poorly documented internal API could take four weeks. We provide a fixed-price quote after the initial discovery call.
- What happens when an external API like my CRM goes down?
- The system is built for resilience. We implement automatic retries with exponential backoff for transient errors. If an API call fails after three attempts, the original event payload is written to a Supabase table and an alert is sent. This prevents data loss and allows for easy manual reprocessing once the external service is restored.
- How is this different from hiring a freelance developer?
- A freelancer might deliver a Python script. Syntora delivers a production-grade system. That includes infrastructure-as-code for deployment, structured logging, real-time monitoring, and comprehensive documentation. The person who builds your system is the person who supports it, ensuring deep accountability that is rare in freelance engagements. There is no handoff.
- Can you work with our internal, undocumented APIs?
- Yes. We frequently work with internal tools or older industry platforms that lack public API documentation. We can analyze the network traffic from your browser to reverse-engineer the required API calls. This adds a few days to the discovery phase but is often the only way to automate a business process that relies on a legacy system.
- What kind of performance and speed can I expect?
- A workflow running on AWS Lambda executes in under 500 milliseconds. This real-time speed is a major difference from platforms that use polling intervals, which can delay data syncs by 5 to 15 minutes. For webhook-driven events, like a new lead from a form, the data appears in your other systems almost instantly.
- Who handles the hosting accounts and billing for cloud services?
- We deploy the entire system into your company's own AWS account. You own the infrastructure and pay the cloud provider directly, which ensures complete transparency on hosting costs. We provide a runbook explaining how to manage the services, or we can manage them for you under our optional flat monthly maintenance plan.
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