Integrate Your Siloed Business Applications with a Custom API
Custom API development integrates siloed applications by creating a central data translation layer. This hub allows systems like your CRM and ERP to communicate directly in real time.
Syntora specializes in custom API development to integrate siloed business applications. We would design and engineer a central data translation layer using Python, FastAPI, and AWS Lambda, tailored to connect your specific systems and automate data flows. This approach focuses on understanding your unique environment to deliver a custom integration.
The build complexity for such an integration depends heavily on the number of systems involved and the quality of their existing APIs. Connecting two modern applications with well-documented REST APIs is typically straightforward. However, linking a legacy on-premise database to multiple different cloud services would require a more detailed data mapping and architectural design phase. Syntora approaches each integration as a custom engineering engagement, tailored to your specific application ecosystem and business process requirements.
What Problem Does This Solve?
Most companies first try point-and-click automation tools. Their pre-built connectors seem easy, but the costs are hidden in task-based pricing. A single new order might trigger 5-7 tasks: check for an existing customer, create one if new, add line items, and log the result. At 100 orders per day, that is 15,000 tasks per month and a surprise $400 bill for one workflow.
Then they try native integrations, like a platform's official Salesforce-to-NetSuite connector. These sync standard objects like Accounts but fail on custom fields or business logic. For example, the native connector cannot handle a rule to only sync an invoice after it receives three approvals in a separate system. You are stuck with the vendor’s rigid data mapping, which never matches your actual business process.
This forces teams into brittle workarounds. A 30-person distributor used a screen-scraping tool to pull data from their legacy CRM. It broke every time the vendor updated the CRM's user interface, which happened twice last quarter. Each time, order processing stopped for over 24 hours while they manually re-keyed data and tried to fix the broken automation.
How Would Syntora Approach This?
Syntora's approach to integrating siloed applications begins with a detailed discovery phase to map the entire data flow. For example, in a CRM-to-ERP integration, we would meticulously document how a field like `customer_id` in your CRM maps to `entity_id` in the ERP. This critical business logic is then stored in a configuration file, allowing for easy updates without altering core application code. If multi-step transactions require data staging, a Supabase database would be used to manage temporary data states.
The core of the integration would be a central API, engineered using Python and FastAPI. This API would expose simple, logical endpoints, such as `/create_invoice_from_deal`, designed to encapsulate all the necessary steps for communicating with the siloed systems. To manage external API calls efficiently, the `httpx` library would be used for asynchronous requests, preventing slow responses from one service from blocking other processes. All actions within the integration would be logged as structured JSON using `structlog` for clear debugging and operational monitoring.
This FastAPI application would be packaged into a container and deployed on AWS Lambda. This serverless function would be triggered by webhooks or scheduled events from your other applications. This architecture is designed for efficiency and cost-effectiveness, scaling automatically to handle varying transaction volumes while minimizing operational overhead.
For systems with modern REST APIs, Syntora would connect directly. For legacy applications that lack a contemporary API, the strategy often involves connecting directly to their underlying PostgreSQL or MySQL database, or developing custom data extractors. Syntora has extensive experience building document processing pipelines using Claude API for sensitive financial documents, and the same robust pattern applies when integrating diverse document types or data sources in a new vertical. This technical capability allows us to bridge gaps between disparate systems even when traditional APIs are absent.
What Are the Key Benefits?
Data Flows in Milliseconds, Not Hours
Real-time sync between systems is complete in under 500ms. Eliminate the 2-hour delay of batch jobs or the risk of manual CSV export errors.
Pay for Execution, Not for Seats
A single, fixed-price build and an optional flat monthly maintenance fee. Your serverless hosting costs scale with usage, not with your employee count.
Your Code, Your GitHub, Your Control
You receive the full Python source code in your private GitHub repository, along with a runbook for future developers. There is no vendor lock-in.
Alerts Fire Before Your Team Notices
We configure monitoring using AWS CloudWatch to send a Slack alert if an API endpoint fails 3 times in 5 minutes. We know it's broken before you do.
Connects Anything With an API or a Database
We integrate modern systems like HubSpot and QuickBooks, and legacy platforms by connecting directly to their PostgreSQL or MySQL databases.
What Does the Process Look Like?
System & API Audit (Week 1)
You provide read-only access and API documentation for the target applications. We deliver a technical specification and data mapping document outlining every endpoint to be built.
Core API Development (Week 2)
We build the central FastAPI service that handles the data translation. You receive access to a staging environment to test the API endpoints with sample data.
Deployment & Live Testing (Week 3)
We deploy the API to AWS Lambda and connect it to your live applications in a read-only mode. You receive a final deployment plan for the go-live switch.
Go-Live & Monitoring (Week 4+)
We switch the integration to production. For the next 30 days, we monitor transaction volume and error rates. You then receive the final source code and system runbook.
Frequently Asked Questions
- What factors determine the project cost and timeline?
- The primary factors are the number of systems to integrate and the quality of their APIs. A two-system integration with well-documented REST APIs is a standard 2-week build. Connecting three systems where one is a legacy database with no documentation might take 4 weeks. The final fixed-price quote is provided after the initial discovery call, where we review your exact requirements.
- What happens if an external application's API is down?
- The code includes built-in retry logic with exponential backoff. If an API call fails, the system tries again after 2 seconds, then 4, then 8, up to five times. If it still fails, the failed transaction is logged to a 'dead-letter queue' in Supabase. A daily report is sent with any failed jobs so they can be re-run manually once the external service is back online.
- How is this different from hiring a freelance developer on Upwork?
- A freelancer builds code; Syntora delivers a production system. This includes the Python code, cloud infrastructure configuration, structured logging, monitoring, and alerting. We provide a complete runbook and 30 days of post-launch support. Our fixed-price model means the project is not finished until the system is live and stable, removing the risk of open-ended hourly billing for debugging and deployment.
- How do you handle sensitive data and API keys?
- All client credentials, like API keys and database passwords, are stored in AWS Secrets Manager, never in the code repository. Access is governed by strict IAM roles so the application can only read the secrets it needs at runtime. We never store your customer data; it passes through the system during a transaction but is not persisted on our infrastructure.
- Are there any systems you cannot integrate?
- We cannot integrate with desktop-based software or systems that have no network access. If an application has no API and no accessible database, integration is not feasible. We also do not work with integrations that require screen-scraping, as the method is too brittle for production use. We confirm system compatibility during the discovery call before any work begins.
- What does the optional monthly maintenance plan cover?
- The maintenance plan covers dependency updates, responding to monitoring alerts, and fixing bugs that arise from changes in external APIs. It does not cover building new features or integrating new systems. For most clients, this provides peace of mind that the system remains secure and operational without needing an in-house developer to manage it. This plan is offered after the initial 30-day monitoring period.
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