Application Integration Services | System & API Integration Experts
Software Engineering

Connect the Systems Your Business Already Runs On

When your CRM, ERP, accounting, e-commerce and support tools don’t share data, people fill the gaps by hand. We engineer the integrations that move data between them reliably, so work happens once and every team sees the same information.

Core stackASP.NET Core · .NET / C# · REST APIs · Webhooks · Azure Functions · Azure Service Bus · Microsoft Azure · SQL Server

Is This You?

When Integration Is the Real Fix

Many problems that look like they need new software are really missing connections between the tools you already have.

Connect before you build.

If your tools already do their jobs well, connecting them is usually faster and cheaper than replacing them.

GTM Systems Engineering
  • Your systems don’t talk to each other

    Customer, order and billing data lives in separate tools and each one tells a slightly different story.

  • Someone copies data between tools

    Leads, orders or invoices are exported and re-entered by hand, which is slow and error-prone.

  • Follow-up depends on someone noticing

    A new lead or order in one system doesn’t trigger the next step in another, so things slip through.

  • Existing integrations keep breaking

    Point-to-point connections and scripts fail silently and nobody finds out until a customer does.

What We Build

Integration Work We Design and Deliver

Pick one to see what it usually involves and how we typically build it.

For revenue teams

CRM and lead integration

Connecting website forms, marketing tools and your CRM so every lead is captured, routed and followed up without manual copying.

Typical examples
  • Web form and lead capture to CRM
  • Lead routing and assignment
  • CRM sync with other business tools
Often built with
  • REST APIs
  • Webhooks
  • ASP.NET Core
  • Azure Functions
Discuss a project like this

For back-office teams

ERP, accounting and operations integration

Keeping orders, inventory, invoices and customer records consistent between operational and financial systems.

Typical examples
  • Order-to-invoice flows
  • Inventory and stock sync
  • Customer record sync
Often built with
  • ASP.NET Core
  • REST APIs
  • SQL Server
  • Azure
Discuss a project like this

For controlled data access

API development

Secure, documented APIs that let your applications, partners and third-party tools exchange data in a controlled way.

Typical examples
  • Custom REST APIs
  • Partner and third-party APIs
  • Authentication and access control
Often built with
  • ASP.NET Core
  • REST APIs
  • Azure
  • Postman
Discuss a project like this

For your tool stack

Third-party and SaaS integration

Integrating payment gateways, email and messaging services and other SaaS products into your applications and workflows.

Typical examples
  • Payment gateway integration
  • Email and messaging services
  • SaaS-to-SaaS data flows
Often built with
  • REST APIs
  • Webhooks
  • .NET
Discuss a project like this

For repeatable processes

Workflow automation across systems

Automating the steps that happen between systems, such as notifications, record updates and approvals, so they don’t depend on someone remembering.

Typical examples
  • Event-triggered workflows
  • Automated notifications and updates
  • Approval flows across tools
Often built with
  • Azure Functions
  • Webhooks
  • .NET
  • REST APIs
Discuss a project like this

For growing complexity

Integration architecture and clean-up

Replacing fragile point-to-point connections with an integration setup that is monitored, maintainable and ready for new systems.

Typical examples
  • Integration audit and roadmap
  • Replacing brittle scripts and connectors
  • Monitoring and error alerts
Often built with
  • Microservices
  • Azure
  • ASP.NET Core
  • SQL Server
Discuss a project like this
Approach

Map the Data Flow. Then Connect It.

Every engagement follows the same problem-first Systems Engineering Method we use across AppPotter.

  1. Map systems and data flows

    We document which systems hold which data, how it moves today and where it is copied by hand.

  2. Define the source of truth

    For each key record we agree which system owns it, so integrations never fight over the same data.

  3. Design the integration

    APIs, triggers, error handling and security designed before anything is connected.

  4. Build and test with real scenarios

    Integrations are tested against realistic data and edge cases, not just the happy path.

  5. Go live with monitoring

    Logging and alerts, so failures are caught and fixed before they reach customers.

  6. Maintain as systems change

    When a connected tool changes its API or you add a new system, the integration is updated with it.

Outcomes

What Changes When the Process Runs on the Right System

We agree on what to measure during discovery, so success is defined before the build starts, not after launch.

  • Before: Data is copied between tools by hand

    After: Records sync automatically between systems

  • Before: Leads wait in an inbox before reaching the CRM

    After: Every lead captured and routed as it arrives

  • Before: Each tool shows a different version of the customer

    After: One agreed source of truth for each key record

  • Before: Broken connections are found by customers

    After: Monitored integrations with alerts when something fails

  • Before: Adding a new tool means more manual work

    After: An integration setup ready for the next system

Technology

Chosen for Your Systems, Not Our Preferences

Integrations sit between systems you don’t control, so reliability matters more than the tool. We build on .NET with Azure or AWS. The tools listed here are examples: if a system has an API, we can connect it.

Core stack

Where we have the deepest production experience

  • ASP.NET CoreAPIs & services
  • .NET / C#Backend
  • REST APIsIntegration
  • WebhooksEvent triggers
  • Azure FunctionsServerless
  • Azure Service BusMessaging
  • Microsoft AzureCloud
  • SQL ServerData

Also used when the project calls for it

CRM
  • HubSpot
  • Salesforce
  • Zoho CRM
  • Microsoft Dynamics 365
Automation platforms
  • Zapier
  • Make
  • n8n
  • Power Automate
  • Power Apps
Messaging
  • WhatsApp Business API
  • Twilio
  • Slack
  • Microsoft Teams
  • Microsoft 365
Payments
  • Stripe
  • Razorpay
  • PayPal
Accounting & ERP
  • QuickBooks
  • Xero
  • Zoho Books
  • Tally
  • NetSuite
Customer support
  • Zendesk
  • Freshdesk
  • Intercom
Other
  • Calendly
  • DocuSign
  • Google Analytics
  • Sentry
Backend
  • Node.js
  • Python
Cloud
  • AWS
Testing
  • Postman
Who You Work With

Senior Engineers, Directly Involved

  • Founder-led delivery

    Parth and Umesh are personally involved in every engagement.

    From scoping the work to standing behind its outcome, backed by Parth's 14+ years of enterprise technology and delivery experience.

    Meet our leadership
  • Current engagement · under NDA

    A long-term software engagement with a US-based technology company.

    Client identity and project details are undisclosed due to confidentiality obligations. We treat your work the same way.

    See our approach
Engagement

Ways to Work Together

  • Advisory & Discovery

    Short-term Strategy Engagements

    For a focused, short-term engagement - an assessment, an architecture review, or technical due diligence - before any build begins.

    • Comprehensive architecture reviews
    • Due Diligence of your tech stack
    • Roadmap and Estimation
  • Fixed Price

    Fixed Cost Model

    For clearly-scoped integration or build work, where the outcome and boundaries are already well defined.

    • Change Management process
    • Milestone-based delivery
    • Quality & SLA Commitments
  • Dedicated Team

    Dedicated Product Engineering Team

    For long-term product or systems work - a sustained AppPotter engineering team working against your roadmap, not rotated project to project.

    • Seamless onboarding and roadmap planning
    • Fixed Monthly Retainer
    • PO/Tech-lead Collaborations
Parth JotangiyaUmesh Sohaliya

Whichever structure fits, Parth and Umesh are personally involved, from scoping the engagement to standing behind its outcome.

Meet our leadership
Where This Fits

Part of GTM Systems Engineering

The connective layer behind revenue automation, CRM engineering, AI-enabled GTM and integration engineering. Integration is usually the first step: connecting what exists before anything new is built.

Questions

Application Integration FAQs

Still unsure? A 30-minute conversation usually answers the rest.

Book a call

Often connecting is enough. If your existing tools each do their job well but don’t share data, integration is faster and cheaper than replacing them. We only recommend new software when a gap can’t be closed by connecting systems.

Start with the connections

Show Us Which Systems Need to Talk

We’ll map how data moves between your tools today and show you where integration removes the manual work.

Book a GTM Systems Assessment

30-minute call · No obligation · No sales pitch

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