Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
Reduce manual effort, data silos, and delivery risk with AI automation designed for operational stability.
AI workflows backed by scaled Agile DevOps delivery solve manual approval delays.
Modernize legacy pipelines for faster analytics when disconnected data limits insight.
Documentation and testing by TechZavy ensure continuity during complex deployments.
AWS, Oracle, Google, and Microsoft partnerships guide fit when cloud decisions feel fragmented.
AIOps and conversational AI help teams resolve issues faster as support demand rises.
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See why organizations rely on TechZavy for practical AI, cloud, and data delivery.
Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
TechZavy Consultant has been doing wonderful on the projects they have been working on. I’m very happy with the quality of work and productivity. My goals are being met.
TechZavy engineered a high-performance, centralized platform that bridged our legacy applications and brought us fully into the Azure cloud. The real game-changer has been their innovative use of Azure Open AI and autonomous agents to automate the reconciliation of judicial comments and sentencing departures. By seamlessly integrating our data with MNCIS and the DOC, TechZavy eliminated decades of data silos and drastically reduced our team’s manual administrative overhead. They delivered a solution that perfectly supports our statutory mandate
Shan has led the development of our department’s online platform that captures energy efficiency program data reported by 100+ Minnesota electric and gas utilities. Shan and TechZavy team have an exceptional level of technical expertise and a keen ability to implement user-friendly designs. I highly recommend Shan to anyone who is looking to develop software product solutions.
TechZavy has been meeting all contract obligations, including application development, data mapping, and process improvements. They have been extremely flexible in working with our technical and business requirements, have adjusted schedules and accommodated our resource timelines very well. Has worked extremely well with us in clarifying and adjusting deliverables as defined in the contract and has shown adaptability with us for minor modifications. Overall TechZavy has helped us advance our project as we approach production launch in the coming months.
TechZavy’s contributions to AI-driven enhancements—particularly the CRM chatbot for the MMCAP Members Portal—have meaningfully improved system functionality and user experience. Shan played a key role in modernizing the MMCAP analytics (ProductFile) processing by leading its migration from a legacy SSMS platform to an Azure-based solution using Data Factory, Databricks, and AI-supported optimizations. Also excelled in multiple roles as Project Manager, Azure Administrator, and AI Architect roles
See how TechZavy turns AI into operational value.
Learn how our teams align automation, cloud, data, and DevOps practices to reduce manual work and improve continuity.
Founded in 2017 as an IT vendor to Mayo Clinic, TechZavy now supports complex enterprise and public-sector modernization.
Our Microsoft AI Cloud, AWS, Oracle, and Google Cloud partnerships help align automation with secure, scalable architecture.
We build for continuity with Agile DevOps, documentation, testing, monitoring, and rapid knowledge transfer.








TechZavy identifies repetitive, rules-based, and decision-heavy workflows that can be automated without disrupting daily operations. We document current-state processes, map dependencies, define business rules, and design AI-enabled workflows that reduce manual routing, duplicate entry, and delayed approvals.
Deliverables may include process maps, automation backlogs, integration plans, and production-ready workflows aligned to measurable operational outcomes.
Agentic automation helps your teams coordinate multi-step work across systems, data sources, and business rules. TechZavy designs AI agents that can support intake, triage, summarization, routing, and task recommendations while keeping governance, logging, and human oversight in place.
This creates faster throughput without sacrificing accountability.
Strong AI automation starts with clean, connected data. TechZavy supports AI-enabled ETL migration, legacy data modernization, analytics pipelines, and Azure Databricks Lakehouse environments that make operational data easier to use.
You gain better reporting, improved model readiness, and a more reliable foundation for predictive decisions.
TechZavy applies AIOps to improve service visibility, reduce alert noise, and help operations teams act before issues become outages. Predictive metrics, monitoring workflows, and automated triage can support faster response and more resilient service delivery.
Our approach is built around continuity, documentation, and high-performance operational SLAs.
Legacy applications often contain critical workflows that cannot simply be replaced. TechZavy modernizes them through cloud architecture, API integration, refactoring, migration planning, and automation layers that extend system value.
This helps you improve usability, reduce technical debt, and scale without forcing a single platform assumption.
AI systems require disciplined validation before they support live operations. TechZavy uses autonomous testing, quality validation, regression coverage, and DevOps documentation to reduce release risk.
Our delivery model supports rapid adaptation, clear inspection points, and knowledge transfer for long-term maintainability.









Automation should solve operational problems, not create new ones.
TechZavy maps AI use cases to business value streams, then builds workflows that reduce duplicated effort, improve data flow, and support measurable decision-making. Our approach is technology-agnostic, so your automation roadmap can connect cloud platforms, legacy systems, IoT data, and existing enterprise applications.
Identify high-impact AI use cases that reduce friction and improve scale.
Find related local services available in Minneapolis.
AI automation services cover the design, development, and deployment of intelligent workflows tailored to enterprise needs. You gain solutions for automating manual handoffs, integrating legacy and cloud systems, and enhancing analytics using AI and machine learning. Services are delivered with a technology-agnostic approach, ensuring compatibility with your existing platforms and future scalability. Support includes managed delivery, proactive monitoring, and documentation pipelines for operational continuity.
AI automation services help you minimize manual processes, reduce delivery risk, and eliminate data silos. By leveraging predictive modeling and workflow automation, you can:
The process starts with a consultative assessment of your IT landscape and business goals. Solutions are mapped to your requirements using proven frameworks, followed by rapid prototyping, knowledge transfer, and iterative deployment using Agile DevOps. Immediate backup coverage and detailed documentation ensure minimal disruption, while ongoing support keeps your automation running smoothly. The team adapts to your platform, compliance, and integration needs throughout the project.
Cost and timeline depend on the complexity of workflows, integration with legacy or cloud systems, data migration needs, and required compliance standards. For most Minneapolis organizations, predictable cost models are available, and delivery is structured to minimize operational disruption. Projects benefit from rapid mobilization and scalable resource allocation, ensuring that even complex deployments remain on schedule and within budget.
A Minneapolis-based provider offers deep experience with local enterprise and public-sector modernization, supported by partnerships with Microsoft, AWS, Oracle, and Google Cloud. You benefit from:
TechZavy automates workflows with Microsoft AI Cloud expertise to prevent manual handoff delays.
Azure Databricks Lakehouse models from modernized legacy datasets unblock decisions hampered by fragmented data.
80-person technical team supports rapid knowledge transfer to address staffing gaps.
Technology-agnostic design connects cloud, IoT, and older platforms to help legacy systems scale.
AIOps improves monitoring with predictive metrics and automation when support teams face alert fatigue.