Integrate Your Siloed Business Tools with a Custom API
Custom API development builds a central service that translates data between your business tools. This allows systems like your CRM and ERP to share information in real time without manual entry.
Syntora designs and builds custom API integrations to connect siloed business tools, ensuring real-time data flow between systems like CRMs and accounting software. This approach involves a detailed discovery phase to map data flows and an architecture utilizing Python with FastAPI deployed on serverless platforms, providing a scalable and maintainable solution for data exchange.
The scope of such a project extends beyond simple point-to-point connections. It involves building custom business logic to manage data transformations, validations, and sequencing of operations between disparate platforms. Connecting common platforms like HubSpot and QuickBooks can be straightforward, but integrating a proprietary manufacturing dashboard with Salesforce and a third-party logistics provider would require careful mapping of unique and complex data structures.
Syntora would start by auditing your existing tools and understanding the specific business processes that require integration. We would identify the data sources, destinations, and the precise rules for how information should flow between them. This initial discovery helps define the project scope, typical build timelines (ranging from 4-8 weeks for simpler integrations to 12-20 weeks for complex custom logic), and what your team would need to provide, such as API access and clarity on business rules.
What Problem Does This Solve?
Most companies start with visual automation platforms because they connect two apps in minutes. The problem arises with multi-step logic. A workflow that must check inventory in Shopify and customer credit in Stripe before creating an order in a custom ERP requires duplicate, branching paths. This inflates task counts, quickly turning a $50 per month plan into a $400 per month bill for a single, brittle workflow.
Another common approach is creating direct, point-to-point connections between tools. This seems efficient but creates a fragile web of dependencies. When your CRM provider updates its API, every system connected to it breaks. For a small team with five integrated tools, this means ten or more individual connections to maintain. A single API change from one vendor can disable half your operational workflows overnight.
A regional insurance agency with six adjusters faced this exact issue. They used a niche claims management system, QuickBooks, and HubSpot. When a claim closed, an adjuster manually copied data between all three systems. They tried an off-the-shelf tool, but it couldn't parse the custom fields in their claims software and timed out on large lookups, causing an 8% error rate in client billing.
How Would Syntora Approach This?
Syntora would approach your integration needs with a structured engagement, beginning with a detailed discovery phase. We would use tools like Postman to inspect the APIs of your CRM, accounting software, and any industry-specific platforms. This process involves documenting every relevant endpoint, authentication method (such as OAuth2 or API keys), and rate limits. The output of this discovery is a technical specification, which serves as a blueprint for the central integration service.
The core integration hub would be built using Python and FastAPI, designed as a single, well-documented API. For example, a POST /invoice endpoint could receive order data from your e-commerce platform. Pydantic models would validate the incoming data, and then asynchronous calls with the httpx library would be made to create an invoice in QuickBooks and log the activity in HubSpot. This architecture is designed for efficient data processing, capable of handling rapid transaction volumes. We have experience building similar document processing pipelines using Claude API for financial documents, and the same robust pattern applies to business document integrations.
This FastAPI application would be packaged as a container and deployed on AWS Lambda. This serverless approach scales automatically based on demand, providing cost efficiency. A Supabase Postgres database can be used for temporary data storage, caching lookup values like mapping internal product SKUs to QuickBooks item IDs, or maintaining state across complex workflows. All actions within the service would be logged as structured JSON using structlog and sent to AWS CloudWatch for monitoring and auditing. This architecture is designed to manage multiple concurrent requests reliably, with typical operational costs expected to be low, often under $20 per month for many use cases.
The deliverables for the engagement would include a deployed and fully tested integration service, comprehensive API documentation, and configuration guides for connecting your existing applications via webhooks or scheduled jobs. This approach decouples your systems; if one application changes its API, only a specific function in the integration service would need an update, minimizing impact on your other tools.
What Are the Key Benefits?
Your Tools Run on a Single Engine
We replace fragile point-to-point links with a central API hub. Updating one tool no longer breaks three others. We connect HubSpot, QuickBooks, and proprietary platforms.
Live in 3 Weeks, Not 3 Quarters
Our focused build process delivers a production-ready system in 15 business days. You see integrated data flowing immediately, not after a prolonged IT project.
Pay for the Build, Not by the Seat
A one-time fixed-price project gets you the system. After launch, you only pay for minimal cloud hosting, not a recurring per-user SaaS subscription.
You Own Every Line of Code
We deliver the complete Python source code to your company's GitHub repository. You get a runbook and API documentation for future extensions. No vendor lock-in.
Errors Alert You, Not Your Customers
We build monitoring with AWS CloudWatch and structlog. If an API call fails after three retries, you get a Slack alert with the exact error log.
What Does the Process Look Like?
System Audit & API Mapping (Week 1)
You provide API credentials for your siloed tools. We deliver a data flow diagram and a technical spec outlining every endpoint and data transformation.
Core API Development (Week 2)
We build the central FastAPI service. You receive a private URL to the staging environment and a Postman collection to test the endpoints yourself.
Integration & Deployment (Week 3)
We configure webhooks in your live systems to point to the new API and deploy to AWS Lambda. You receive a runbook detailing the production architecture.
Monitoring & Handoff (Week 4+)
We monitor the system for 30 days post-launch to handle any edge cases. You receive full source code access and an optional flat-rate monthly maintenance plan.
Frequently Asked Questions
- How is the project cost determined?
- Cost is based on the number of systems to integrate and the complexity of the business logic. A two-system integration with simple data mapping is straightforward. A five-system integration with conditional logic and data enrichment from third-party APIs requires more development. We provide a fixed-price quote after a 30-minute discovery call where we review your exact needs.
- What happens if a connected service like Salesforce is down?
- The API is built for resiliency. We use the httpx library with exponential backoff and retries. If a call to Salesforce fails after three attempts over 60 seconds, the request is logged as failed and a Slack alert is sent with the payload data. This ensures no data is lost and you can manually process the operation later.
- How is this better than using an iPaaS like Workato?
- iPaaS platforms offer pre-built connectors but charge based on volume, which gets expensive. They also operate as a black box. With a custom-built system, you own the code, control the logic, and only pay for raw cloud computing, typically under $50/month. It's designed for business-critical workflows that cannot fail or become prohibitively expensive at scale.
- How do you handle API keys and sensitive credentials?
- We never store credentials in the code repository. All API keys, database URLs, and other secrets are managed using AWS Secrets Manager. The application code retrieves them at runtime using IAM roles, which grant the minimum necessary permissions. This is standard security practice for production systems and prevents accidental exposure of sensitive data.
- Can this system handle high data volumes?
- Yes. The architecture uses AWS Lambda, which scales automatically to handle traffic spikes, and we process record batches asynchronously. For a logistics client, we built a system that processes over 20,000 shipment updates per day from three different freight carriers. The average processing time is 250ms per update, with no performance degradation during peak hours.
- Why not just hire a freelance developer to build this?
- You could, but you would be managing the project. Syntora handles the entire process from discovery and architecture to deployment and monitoring. The person on the discovery call is the engineer who writes the code. This eliminates communication overhead and ensures the person building the system deeply understands your business problem, which is rare with typical freelance engagements.
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