Registration: INDO240509SE004409
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DB Pride, Indore, Madhya Pradesh, India

Corporate Reg: INDO240509SE004409

Partnership & Subcontracting

Are you a Microsoft Gold Partner or Systems Integrator in need of specialized offshore C# plugin or CTI development support? We execute under strict mutual NDAs and seamless white-label integration.

FREQUENTLY ASKED QUESTIONS

Common Questions About Our Services

Insights on how we work, our technologies, and our engagement structures.

We specialize primarily in the latest Microsoft Dynamics 365 Online versions (v9.2+ and Dataverse). However, for enterprise data migration and upgrades, we regularly support on-premise environments running Dynamics CRM 2011, 2013, 2015, and 2016, migrating their schemas, historical data, and custom logic safely to the cloud.
Our extensions are packaged as Microsoft Dynamics 365 managed solutions that leverage the Microsoft Channel Integration Framework (CIF v1 & v2). They embed the telephony client (Amazon Connect CCP or Genesys Embedded Client) directly into the CRM browser window. This enables sub-second caller screen pops, click-to-dial from CRM phone attributes, and automated phone call activity logging with recording links.
We provide two flexible models: (1) Fixed-scope technical deliverables with clearly defined milestones, deliverables, and budgets (ideal for PCF controls, CTI setups, and migrations); and (2) Dedicated technical consultant augmentation on monthly agreements, where senior D365/Power Platform engineers integrate directly into your sprint boards.
Yes. We provide code profiling and audit services to diagnose 2-minute sandbox timeouts, infinite loop recursion, unindexed query execution plans, and memory issues. We refactor synchronous operations to asynchronous or serverless Azure Functions where appropriate.
When documents (invoices, receipts, identity proofs) are uploaded to SharePoint, Azure Blob Storage, or via a Power Pages portal, an Azure Function or Power Automate flow sends the payload to Azure AI Document Intelligence. Extracted fields (vendor names, invoice amounts, line items, tax IDs) are returned as structured JSON and automatically written into matching Dataverse tables.