At ThirdEye Data, we help enterprises integrate AI into their existing applications and processes using low-code and no-code platforms, with a strong focus on governance, security, and long-term ownership.
Our approach is shaped by more than 15 years of deep collaboration with Microsoft, where we have designed and delivered enterprise-grade solutions using the Power Platform and Azure AI stack for Microsoft itself, its partners, and global customers.
We do not treat low-code as a shortcut.
We treat it as a controlled acceleration layer for enterprise AI adoption.

Many organizations already have analytics platforms, ML models, or GenAI proofs of concept. However, these capabilities live outside operational systems.
We use low-code platforms to embed AI directly into workflows, approvals, and applications that business teams already use.
Even small workflow changes often require development queues, coordination across teams, and long release cycles.
This slows down:
Process improvements
AI experimentation
Business-led innovation
We design low-code solutions that reduce dependency on full-stack engineering while keeping architecture, security, and governance intact.
Enterprises operate across ERP systems, CRM platforms, document repositories, spreadsheets, and custom applications. Decisions often require jumping between tools.
Low-code AI integrations allow us to connect systems, orchestrate workflows, and surface intelligence in one place, reducing cognitive load and errors.
Unstructured citizen development creates shadow IT, data leaks, and compliance risks.
This is where many low-code initiatives fail.
Our work emphasizes enterprise governance models, role-based access, environment control, and alignment with IT and security teams from day one.
Many vision solutions remain isolated experiments. They produce results but do not trigger actions.
We embed computer vision directly into enterprise workflows. We think detection must lead to action. Our CV-based systems deliver insights that flow into existing systems and processes.
Manual visual checks are hard to audit and difficult to enforce at scale.
We design vision applications with traceability and logging. Decisions can be reviewed, explained, and audited when required.








We design and build low-code applications that embed AI for decision support, classification, prediction, and recommendations within business workflows.
We automate complex, multi-step workflows where AI assists with validation, prioritization, routing, and exception handling.
We build secure, role-aware copilots that allow employees, partners, or customers to interact with enterprise systems using natural language.

We integrate AI capabilities into ERP, CRM, document management systems, and internal tools without replacing them.
Designed and implemented a Copilot-based Supplier Chatbot integrated into a comprehensive Warehouse Management System (WMS) built on Microsoft Power Platform.
Developed and delivered a Copilot-powered Onboarding Buddy chatbot as part of the HR process automation built on the Microsoft Power Platform.
Built on a 15+ year partnership with Microsoft
ThirdEye Data has worked with and for Microsoft for more than 15 years, delivering over 50 enterprise solutions, demos, and accelerators across AI, analytics, and business applications.
This long-standing relationship has shaped how we design low-code AI solutions.
Why This Matters to Enterprises
We build according to Microsoft’s security and privacy expectations
We understand how Power Platform fits into enterprise architectures
We know what scales and what breaks in real deployments
This is not theoretical knowledge.
It comes from delivering solutions for Microsoft’s internal teams and global customers.

Power Apps: For secure, scalable application development that integrates directly with enterprise systems.
Power Automate: For orchestrating complex workflows, approvals, and system integrations with AI decision points.
Copilot Studio: For building enterprise copilots that understand business context, roles, and permissions.
Dataverse: For governed data storage, security, and application consistency.
Power Pages: For external-facing AI-enabled experiences where required.
Talk to us about low-code and no-code AI integrations designed for enterprise trust and long-term value.
Yes, when implemented with the right architecture and governance. Low-code platforms like Microsoft Power Platform are designed for enterprise use. We ensure solutions meet security, compliance, scalability, and performance requirements.
No. Our approach focuses on augmenting and extending existing systems, not replacing them. We integrate AI capabilities into your current workflows, ERP, CRM, and internal tools.
We align low-code implementations with enterprise identity, access control, and data governance standards using Microsoft Entra ID, Dataverse security models, and environment-level controls.
We establish platform governance, development standards, approval workflows, and environment segregation to ensure innovation happens within controlled boundaries.
Yes. We design low-code architectures that support scale, multi-region deployment, and enterprise performance needs from day one.
We integrate low-code apps with Azure OpenAI, Azure AI services, and enterprise data platforms using secure APIs and managed services.
IT remains a key stakeholder. We work closely with IT teams to ensure alignment with architecture, security, and operational standards.
We implement data access controls, masking, logging, and compliance measures aligned with enterprise and regulatory requirements.
No. While we have deep expertise in Microsoft Power Platform, our solutions are designed with integration and extensibility in mind.
Our long-standing partnership gives us deep insight into platform capabilities, best practices, and enterprise-scale patterns that reduce risk.
No. When combined with Azure AI and proper architecture, low-code supports complex, enterprise-grade AI workflows.