AI Solutions

Strategic AI for measurable operational value.

Turn unclear AI ideas into prioritized use cases backed by TechZavy’s public-sector delivery experience.

Modernize legacy data barriers with Azure Databricks Lakehouse experience and production-ready pipelines.

Reduce manual workflow strain with agentic automation designed for secure, auditable enterprise processes.

Improve adoption with cognitive UX analytics that support user-friendly designs and continuous refinement.

Accelerate delivery with Microsoft AI Cloud, AWS, Oracle, and Google Cloud partner capabilities.

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Trusted By

Built for Reliable AI Adoption

Practical delivery, user-friendly systems, and adaptable technical execution.

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 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

Tim Ogg

Director of MBCC-IT, Minnesota Sentencing Guidelines Commission

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.

Adam Y. Zoet

Energy Planner, Director, Minnesota Department of Commerce

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.

Lisa Zitek-Jones

QA Supervisor, MNIT Partnering with MN Pollution Control Agency

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

Michelle Perish

Application Support Specialist, State of Minnesota

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.

Robert Wehausen

MNIT Supervisor, BWSR - Minnesota IT Services

AI Modernization Proven in Public-Sector Operations

Unifying Fragmented Justice Data Into One Intelligent, AI-Driven Case Platform

How a state sentencing commission replaced siloed legacy systems with a modern, AI-powered ecosystem for case management.

Modernizing Mission-Critical Government Procurement Data Systems With Azure and AI

How a legacy-heavy public-sector procurement platform became a fast, secure, cloud-native operation.

Modernizing Statewide Energy Reporting for Minnesota’s Regulatory Future

From a decade-old legacy system to a cloud-native platform serving 200+ utilities across Minnesota.

Ensuring Air Quality Data Accuracy for a Public-Sector Environmental Monitoring Platform

How full-stack QA and sprint traceability turned data from multiple third-party sensors into air-quality readings the public can trust.

Modernizing a Statewide Wetland Mitigation System With a Unifed Azure Platform

From decades of legacy data and manual workflows to an integrated, transparent, cloud-based mitigation system.

Awards & Certifications

AI Services for Practical Enterprise Transformation

Strategic, secure, production-ready AI

AI Strategy

Translate operational goals into AI roadmaps with prioritized use cases, risk planning, data needs, and measurable outcomes for implementation.

AI Agents

Design AI agents that automate repeatable workflows, guide users, and connect to enterprise systems with secure, auditable process logic.

Predictive Analytics

Use predictive modeling and dashboards to identify trends, risks, cohorts, and decision points across complex operational data environments.

Data Modernization

Modernize fragmented data into scalable platforms, including Azure Databricks Lakehouse patterns for analytics, AI, and reporting.

Generative AI

Apply generative AI to content, search, summarization, and knowledge workflows with governance, validation, and production readiness built in.

AIOps Automation

Improve support and delivery operations with AIOps, predictive metrics, monitoring, alerting, and automation that helps protect uptime.

AI App Development

Build intelligent applications with user-friendly design, secure integrations, agile delivery, testing, and managed support after launch.

Autonomous Testing

Strengthen quality with autonomous testing, validation workflows, regression coverage, and release checks for AI-enabled systems.

Legacy AI Migration

Connect AI to legacy platforms through migration, porting, enhancement, and modernization paths that reduce complexity over time.

Our Elite Partners

AI Delivery Backed by Measurable Operational Proof

80%

First-Call Resolution

95%

Customer Satisfaction

60%

Recurring Issue Reduction

AI Solutions Built Around Operational Outcomes

AI creates value when it is connected to the operational decisions your teams already need to make. TechZavy focuses on strategic AI implementation that clarifies high-impact use cases, improves data readiness, and moves solutions toward secure production deployment.

That means your AI roadmap can include predictive modeling, cohort dashboards, risk identification, automation, decision support, or AI agents without losing sight of uptime, compliance-sensitive workflows, documentation, and user adoption. With experience across government, healthcare, environment, fintech, retail, and supply chain environments, TechZavy brings practical delivery discipline to every stage: architecture, cloud, DevSecOps, testing, monitoring, and ongoing support.

From Use Case Discovery to Production AI

Effective AI depends on more than a model. Your architecture, data pipelines, integrations, permissions, testing, and support model all need to work together in production.

Use-case discovery tied to business value and operational risk.
Data readiness planning for analytics, automation, and decision support.
Technology-agnostic architectures across modern cloud and legacy environments.
Secure DevSecOps practices for repeatable deployment and monitoring.
User-focused design that improves adoption and reduces workflow friction.

TechZavy supports this full path with partner capabilities across Microsoft AI Cloud, AWS, Oracle, and Google Cloud.

Modern Data Foundations for Practical AI

Many organizations have decades of data spread across legacy applications, spreadsheets, and disconnected systems. TechZavy helps transform that complexity into reliable data platforms that can support analytics, AI, and operational reporting.

Project experience includes modernizing decades of legacy data, supporting Azure-hosted platforms, and building Azure Databricks Lakehouse modernization strategies. The result is not just cleaner data. Your teams gain better visibility, stronger governance, more consistent reporting, and a practical foundation for predictive models, dashboards, and automation that can be maintained after launch.

Plan Your AI Implementation

Identify practical AI use cases, reduce complexity, and plan delivery.

Delivery Discipline That Keeps AI Moving

AI delivery needs speed, but it also needs continuity. TechZavy combines agile delivery, standardized DevOps documentation, quality validation, and managed service practices so AI solutions can be deployed, monitored, and improved over time.

For enterprise and public-sector teams, that delivery discipline reduces the risk of disconnected pilots and unsupported tools. Your organization can move from concept to production with transparent requirements, rapid knowledge transfer, proactive alignment checks, and support from roughly 80 qualified developers, project managers, business analysts, and testers.

Explore Connected IT Services

Frequently Asked Questions

What types of business problems do AI Solutions address?

AI Solutions help you tackle challenges such as legacy system modernization, data-driven decision support, workflow automation, and predictive modeling. Whether you operate in government, healthcare, environment, fintech, retail, or supply chain, these solutions are designed to align IT strategies with business goals, reduce operational complexity, and boost reliability. You can address risk identification, cohort analytics, and operational bottlenecks to improve both strategic and day-to-day performance.

What are the main benefits of implementing AI Solutions in my organization?

Implementing AI Solutions enables you to:

Automate manual processes, reducing costs and errors
Turn raw data into actionable insights for better decision-making
Enhance user experience with cognitive analytics and predictive UX
Improve operational resilience and scalability across cloud and legacy platforms
Accelerate time-to-value using proven public-sector delivery practices and advanced partner technologies

How do you approach designing and delivering custom AI projects?

Your project begins with use-case discovery that ties AI to tangible business value and operational risk. From there, the process covers data readiness, technology-agnostic architecture, secure DevSecOps, and continuous testing. You benefit from agile delivery cycles, transparent documentation, and ongoing support to ensure production systems remain reliable and adaptable as requirements evolve.

How long does it typically take to implement an AI solution, and what affects the timeline?

The typical implementation timeline for an AI solution ranges from several weeks for targeted automations to several months for enterprise-scale deployments. Factors affecting the timeline include data readiness, integration complexity, compliance requirements, and the number of workflows involved. Rapid mobilization capabilities and standardized DevOps practices help you accelerate delivery without sacrificing quality or security.

What makes these AI Solutions different from other providers?

You benefit from a track record proven in public-sector operations, including multi-agency projects and modernizing decades-old legacy platforms. The service leverages partnerships with Microsoft, AWS, Oracle, and Google Cloud, ensuring you have access to the latest technologies and scalable infrastructure. A technology-agnostic approach, fixed-cost delivery model, and commitment to measurable business outcomes set these AI Solutions apart from typical IT vendors.