API & Integrations
API Integrations & Connected Business Systems
We connect CRMs, business applications, databases and cloud services so data and actions can move reliably between the systems your business depends on.
Engineering software and automation solutions since 2012.
Build the Integration Layer Between Your Systems
- Connect applications through APIs, webhooks and supported integration interfaces
- Keep authentication, transformation and business rules in a maintainable integration layer
- Synchronize data and actions across systems without scattering logic through multiple applications
The Problem
When Business Systems Stop Working Together
Each application works on its own. The trouble starts in the gaps between them:
- Teams manually copy data between applications.
- CRM, finance or operational systems disagree about the same records.
- Workflows stop when one system cannot trigger another.
- Each system has an API, but nothing connects them into one reliable process.
- Third-party connectors do not support the required logic.
- Synchronization failures are difficult to detect or recover from.
- Scheduled imports and exports have become operational bottlenecks.
Engineering Approach
Integration Engineering, Not Just API Calls
Calling an API is the small part. These are the principles we work to when designing what sits between systems.
01
Define System Boundaries
Decide which system owns which data and where integration responsibility belongs.
02
Separate Integration Logic
Keep cross-system business rules, transformation and external authentication in a dedicated layer where appropriate.
03
Design for Failure
Account for retries, validation errors, unavailable systems and partial synchronization.
04
Track What Ran and What Failed
Use appropriate logging, synchronization state and error records so integration activity and failures can be understood and followed up.
Integration Capabilities
What We Build Between Systems
REST API Integration
Connect systems through supported APIs with authentication, validation and structured request/response handling.
OAuth 2.0 & Authentication
Implement OAuth 2.0 authorization, token handling and authenticated API access for platforms that require delegated or application-level authorization.
Webhooks & Event Processing
Receive system events and trigger downstream workflows without relying only on scheduled polling.
Data Synchronization
Keep CRM, database and application records aligned as they change, with state tracking to avoid repeating or losing synchronization work.
ETL & Data Pipelines
Extract, transform and load structured datasets for downstream applications, exports, reporting or operational processing.
Serverless Integration Workflows
Use services such as AWS Lambda for event-driven processing, scheduled jobs and lightweight backend integration logic.
Real Work
Examples of Integration Work
Three integrations we have built, described without client names.
Zoho · MySQL · ETL
Zoho to MySQL Data Integration
ChallengeBusiness data was distributed across Zoho Creator and Zoho CRM and needed to be consolidated into a structured database for downstream applications and reporting.
SolutionBuilt an ETL integration that synchronizes records from Zoho applications into MySQL, including locations, academic institutions, students, programs and related records, with synchronization-state tracking.
OutcomeCreated a centralized data layer that downstream systems can use without manually moving information between platforms.
GoHighLevel · AWS Lambda · API
GoHighLevel Workflow Integration with AWS Lambda
ChallengeA user action in GoHighLevel needed to trigger backend workflow logic that should not live entirely in the browser.
SolutionA custom action calls an AWS Lambda backend, which handles the server-side integration logic and triggers the required GoHighLevel workflow.
OutcomeSeparated frontend interaction from privileged backend processing and enabled a workflow path that standard configuration did not provide.
AWS Lambda · ETL · Scheduled Jobs
Serverless Operational Data Integration
ChallengeOperational data needed to move between external sources, internal processing and exported datasets on recurring schedules.
SolutionImplemented serverless ETL workflows using AWS Lambda, scheduled jobs and structured export processes to synchronize and prepare operational data.
OutcomeAutomated recurring data movement and reduced dependence on manual transfer steps.
Integration Architecture
How a Real Integration Fits Together
The Zoho to MySQL integration above, drawn as a flow.
Zoho Creator + Zoho CRM
The source applications where the business records are created and maintained.
ETL / Synchronization Layer
What happens between the systems:
- Authentication
- Mapping and transformation
- Validation
- Synchronization state
- Error handling
MySQL
The structured database that holds the consolidated records.
Downstream Applications / Reporting
Systems that read the centralized data.
This is one example. The integration pattern changes depending on the systems, data volume and timing requirements.
Integration Patterns
Common Integration Patterns
Different workflows call for different ways of moving data. Choosing the pattern is part of the design.
Real-Time API Calls
One system requests or updates data immediately through an API.
Best when: A person or process is waiting for the result immediately.
Webhook-Driven Workflows
Events trigger downstream processing as soon as something changes.
Best when: The source system can announce a change and the downstream action should happen quickly.
Scheduled Synchronization
Records are compared and synchronized at defined intervals.
Best when: A short delay is acceptable or the source system does not provide event notifications.
ETL & Batch Processing
Larger datasets are extracted, transformed and loaded for operational or reporting use.
Best when: Data volumes are larger or records need transformation for downstream systems or reporting.
File-Based Integration
CSV, SFTP or other file exchanges are processed where APIs are unavailable or unsuitable.
Best when: A system provides CSV, SFTP or structured file exchange instead of a suitable API.
Systems
Platforms and Systems We Work With
Systems we have worked with. It is not an exhaustive list.
CRM & Business Platforms
- Salesforce
- GoHighLevel
- Vtiger CRM
- Zoho CRM
- Zoho Creator
Data & Cloud
- MySQL
- AWS Lambda
Related service: CRM Automation
Is This You?
When to Bring Us In
An existing integration has become hard to maintain
Logic is spread across scripts, automations or systems without clear ownership.
The standard connector cannot express the business rules
The systems connect, but the required validation, transformation or conditional logic is missing.
Failure handling matters
A missed event or partial synchronization cannot simply disappear unnoticed.
Multiple systems need a shared integration layer
Cross-system authentication, mapping and rules need one maintainable place.
The integration pattern needs to change with scale
A manual or simple point-to-point process now needs scheduled, event-driven or batch processing.
Not sure which applies?
FAQ
Integration Questions
Can you integrate systems that do not have a native connector?
Often yes, if they expose an API, webhook, database interface or reliable file exchange mechanism.
Can you take over an existing integration?
Yes, where the existing code, workflows, credentials and system interfaces can be reviewed. The first step is usually to understand the current data flow, failure points and dependencies before changing it.
How do you choose between real-time and scheduled synchronization?
It depends on how quickly the data needs to move, API limits, source-system capabilities, data volume and the operational impact of delay. Real-time is useful when immediate action matters; scheduled synchronization is often simpler when short delays are acceptable.
What happens when one system is unavailable?
The integration design can use validation, retries, synchronization state and error logging where the workflow requires them, so temporary failures do not have to become silent data loss.
Can you work with poorly documented or existing APIs?
Often yes, but feasibility depends on the API’s authentication, stability, available endpoints and documentation. Existing behaviour may need to be inspected and tested before changes are introduced.
Get In Touch
Need Your Systems to Work as One Process?
Tell us which systems need to exchange data or trigger each other. We can help determine the right integration pattern, backend layer and synchronization approach.
Prefer to write? Send your requirement.