Get Production-Grade Automation with Ongoing Support
Syntora provides ongoing maintenance and support for custom automation systems built from scratch. This includes monitoring, error handling, and performance tuning under a flat monthly support plan.
A custom system is for business-critical processes that cannot fail silently. This includes multi-step workflows connecting CRMs, ERPs, and internal databases, often with custom business logic that visual builders cannot handle. The support plan is optional; you receive the full source code and can manage it yourself.
We recently built a document processing pipeline for a 12-person recruiting firm. Their manual process of parsing resumes and creating candidate profiles took 6 minutes per applicant. Our system, built in 2 weeks, processes each one in 8 seconds and is now managed under our monthly maintenance plan.
What Problem Does This Solve?
Many teams start with point-and-click automation platforms. They are great for simple A-to-B connections, but they fail when business logic gets complex. A workflow that needs to check inventory in one system and credit in another before creating an order requires branching paths. If those paths cannot merge, you end up with duplicated, hard-to-maintain steps that double your task usage.
A regional insurance agency with 6 adjusters faced this issue. Their workflow triggered on a new claim submission, creating a folder in their cloud storage and a record in their claim management system. But if a duplicate submission was filed, the 'create folder' step would fail, causing the entire automation to halt. This single failure point meant 12% of all new claims required manual review and data entry, defeating the purpose of the system.
The fundamental problem is that these platforms are not designed for stateful, mission-critical processes. They lack robust error handling, like automatic retries with exponential backoff. Debugging is difficult because logs are basic and provide no context. When a key business function depends on it, a workflow that silently fails is a significant operational risk.
How Does It Work?
We begin by mapping your exact business process, not just replicating a broken workflow. During a discovery call, we define every input, output, and decision point. Based on this, we design the system architecture, typically using AWS Lambda for event processing and a Supabase Postgres database for state management and structured logging.
We write the core logic in Python. We use FastAPI to create any necessary API endpoints or webhooks and httpx for making fast, asynchronous calls to external services like your CRM. A process that took a visual builder 15 minutes to poll and complete now executes in under 500ms via a direct webhook trigger. All activity is logged using structlog, creating searchable JSON logs that are sent to AWS CloudWatch for analysis.
The entire system is deployed as a serverless function on AWS Lambda. This keeps hosting costs under $20 per month for most workflows, even those handling up to 100,000 events. We build explicit error handling into the code. If a third-party API is unavailable, the function will retry the call 3 times before sending a detailed alert to a designated Slack channel, including the exact data that caused the failure.
Our optional maintenance plan covers all ongoing monitoring. We configure CloudWatch Alarms to trigger if the p99 latency exceeds 1 second or the error rate rises above 1% over a 5-minute period. You receive a simple monthly report showing system throughput and uptime. The full source code is always delivered to your company's GitHub, ensuring you are never locked in.
What Are the Key Benefits?
Your Critical Workflow Runs in 200ms
Direct API calls replace slow polling triggers. A document pipeline we built for a logistics firm now runs in 8 seconds, down from 6 minutes of manual data entry.
Pay for Compute, Not Per-Task Fees
An AWS Lambda function costs fractions of a cent per run. One client's workflow that cost $380/month in task-based fees now costs under $18/month to operate.
You Own the Full Source Code
We deliver the complete Python codebase to your company's GitHub repository. You have a permanent business asset, not a temporary software subscription.
Get Alerts Before Your Team Finds Errors
We use AWS CloudWatch to monitor error rates and latency in real time. You get a Slack alert the moment an API fails, not when a customer complains.
Connect Any API, Not Just a Preset List
We write custom integrations for your CRM, ERP, or industry-specific platforms using Python and httpx. No waiting for a vendor to add your tool to their library.
What Does the Process Look Like?
Scoping & Architecture (Week 1)
You provide API credentials and walk us through the process. We deliver a technical design document outlining the architecture, data flow, and error handling logic.
Core System Build (Weeks 2-3)
We build the core automation in Python and deploy it to a staging environment. You receive weekly progress updates and access to the private GitHub repository.
Testing & Deployment (Week 4)
We run integration tests with your live systems and deploy to production. You receive a runbook with deployment instructions and monitoring details.
Monitoring & Support (Post-Launch)
We monitor the system for 30 days post-launch. After that, you can choose our flat-rate monthly support plan or manage the system with the provided documentation.
Frequently Asked Questions
- How much does a custom build and support plan cost?
- Pricing depends on the number of systems to integrate and the complexity of the business logic. A build is a one-time fixed price. The optional support plan is a flat monthly fee, not priced per-user or per-task, covering monitoring, maintenance, and bug fixes. We provide a detailed proposal after the initial discovery call at cal.com/syntora/discover.
- What happens if a third-party API we rely on changes?
- This is a common maintenance task covered by our support plan. We treat breaking API changes as a high-priority incident. We update our code to match the new API specification, test it in a staging environment, and deploy the fix. This proactive work ensures your automation continues to run without interruption.
- How is this different from hiring a freelancer on Upwork?
- Syntora provides an engineering process, not just code. The person on the discovery call is the one who designs, builds, and supports your system. Every engagement includes a technical design document, a well-documented codebase in your GitHub, and a runbook for future reference. This ensures you own a maintainable asset, not just a script.
- Can you build on our existing cloud infrastructure?
- Yes. We can deploy to your existing AWS, GCP, or Azure account so you have full control over the environment and billing. We provide the necessary Terraform or AWS SAM templates for infrastructure-as-code. This allows your team, if you have one, to manage the infrastructure using standard tools.
- What does the monthly support plan actually include?
- The plan includes 24/7 automated monitoring and alerting, dependency updates for security patches, fixes for breaking API changes from third-party services, and up to 5 hours of developer time per month for bug fixes or minor enhancements. We handle all technical operations so you can focus on your business.
- We have no technical staff. Is this model right for us?
- Yes, this model is designed for you. The custom system runs without any manual intervention. The optional maintenance plan provides peace of mind, as we handle all monitoring, alerts, and updates. You receive a simple monthly performance report, not technical alerts. It's a fully managed service for your critical business processes.
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