AI Operations & Management

Operational AI that reduces risk and keeps systems moving.

TechZavy modernized decades of public-sector data for stronger visibility.

Azure-hosted operations supported 99.999% uptime on MNECO.

TechZavy aligns use cases through Data-Driven Alignment.

80 specialists support rapid knowledge transfer and continuity.

Microsoft, AWS, Oracle, and Google Cloud partnerships improve fit.

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Trusted By

Operational Confidence for Complex IT Environments

See how disciplined modernization, AIOps, and managed delivery help systems perform.

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 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

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.

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 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

Managed AI Ops Behind Public-Sector Modernization

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 Operations Services Built for Production Reliability

Practical AI management from strategy to support

AI Ops Strategy

Align AI to operational risk

AI operations begin with a practical roadmap. TechZavy helps identify where predictive modeling, generative AI, automation, and analytics can reduce operational risk or improve service delivery.

Prioritization is based on your existing systems, data readiness, stakeholder needs, and measurable outcomes. The result is a use-case plan that connects AI investment to modernization, continuity, scalability, and decision visibility instead of disconnected experimentation.

Predictive Monitoring

Find issues before impact

Predictive monitoring helps your team see issues earlier across applications, cloud environments, data pipelines, and user-facing workflows. TechZavy applies AIOps practices to turn operational signals into clearer alerts, trends, and improvement opportunities.

This supports faster troubleshooting, better capacity planning, and stronger service continuity. For long-lived platforms and high-availability environments, the goal is practical visibility that helps teams act before small problems become service disruptions.

Workflow Automation

Reduce manual handoffs

Manual handoffs, repeated status checks, and fragmented support workflows slow teams down. TechZavy designs AI-enabled automation around the actual operating process, from triage and routing to documentation, analytics, and DevOps feedback loops.

Automation is implemented with governance and maintainability in mind, helping reduce duplicate effort while preserving human oversight where decisions carry business, clinical, financial, or public-sector impact.

Cloud DevSecOps

Secure scalable delivery

AI systems need secure, scalable delivery practices to stay reliable in production. TechZavy connects AIOps with cloud and DevSecOps engineering so deployments, monitoring, documentation, and platform updates remain transparent.

Technology-agnostic architectures and partnerships with Microsoft, AWS, Oracle, and Google Cloud support the right fit for your environment. The focus is stable modernization, predictable operations, and lower project disruption as requirements change.

Data Platform Ops

Keep analytics reliable

AI performance depends on reliable data operations. TechZavy supports data pipeline modernization, analytics environments, and cloud data platforms that keep insights usable, traceable, and easier to maintain.

Experience includes enterprise modernization work such as SQL-to-Azure Databricks Lakehouse efforts and legacy public-sector data transformation. Your team gains stronger foundations for dashboards, predictive models, reporting, automation, and high-impact AI use cases.

Managed AI Support

Continuity for AI systems

Production AI needs ongoing care, not one-time deployment. TechZavy provides managed operational support for AI-enabled systems, including issue tracking, performance review, documentation, knowledge transfer, and improvement planning.

This approach helps protect continuity when staff change, requirements evolve, or platforms expand. With rapid mobilization capabilities and a fixed-cost, quality-assured delivery model, support can be aligned to your operating priorities without creating unnecessary complexity.

Our Elite Partners

Proven Delivery Strength for Managed AI Operations

80%

First-Call Resolution

95%

Customer Satisfaction

5 Day

Onboarding Time

Operate AI With Stability, Visibility, and Control

AI Operations & Management helps turn AI from an isolated experiment into a reliable part of daily operations. TechZavy focuses on practical use cases, system readiness, monitoring, DevOps discipline, data quality, and knowledge continuity so AI-enabled workflows can support real decisions without adding unmanaged risk.

For teams balancing legacy systems, cloud modernization, compliance-like complexity, and changing stakeholder needs, this service connects strategy to execution. The result is a clearer operating model for automation, predictive insights, incident response, and platform improvement, supported by technology-agnostic architectures and delivery experience across government, healthcare, environment, fintech, retail, and supply chain environments.

Build AI Operations Around Measurable Outcomes

Effective AI operations depend on more than model deployment. Your systems need measurable workflows, clear ownership, resilient hosting, and monitoring that turns signals into action.

Prioritized AI use cases tied to business and public-sector outcomes.
AIOps monitoring that supports faster detection and response.
Cloud-ready architectures backed by Microsoft, AWS, Oracle, and Google Cloud partner capabilities.
Scaled Agile DevOps practices for transparency, inspection, and rapid adaptation.
Predictable support models that reduce disruption during modernization.

TechZavy brings the delivery discipline needed to keep AI initiatives maintainable after launch, not just impressive during a pilot.

Move From AI Pilot Projects to Managed Production

TechZavy approaches AI operations through the lens of modernization, uptime, and continuity. That means reviewing where AI can reduce manual effort, where predictive analytics can improve visibility, and where automation can safely strengthen support workflows without creating hidden dependencies.

This delivery model is grounded in real modernization work, including public-sector data platforms, Azure-hosted systems, Azure Databricks Lakehouse modernization, and managed hosting environments. With roughly 80 developers, project managers, business analysts, and testers, TechZavy can mobilize the right technical coverage while maintaining clear documentation, rapid knowledge transfer, and practical governance around production AI systems.

Plan Your AI Operations Roadmap

Gain a practical roadmap for stable, scalable AI-enabled operations.

Explore Related AI and IT Services

Frequently Asked Questions

What does the AI operations & management service include for my organization?

This service covers the end-to-end management of AI-enabled systems, from aligning your business goals with practical AI use cases to monitoring, deployment, and ongoing optimization. You gain access to technology-agnostic architectures that support both legacy and cloud applications, robust AIOps monitoring, and data-driven workflows. The approach ensures reliable automation, improved incident response, and measurable outcomes across your IT environment.

How can AI operations & management improve stability and efficiency in daily operations?

By integrating AI into your operational workflows, you benefit from predictive analytics, automated incident detection, and faster response times. This leads to fewer disruptions, optimized resource allocation, and higher system availability. With proven strategies such as 99.999% uptime on public-sector platforms and cloud partnerships, your operations become more resilient, transparent, and scalable.

What is the process for implementing AI operations and management in a complex IT environment?

The process begins with a thorough assessment of your existing systems, identifying legacy bottlenecks, compliance requirements, and critical workflows. From there, prioritized AI use cases are mapped to your business objectives, followed by phased deployment using scaled Agile DevOps. Ongoing monitoring, rapid knowledge transfer, and transparent documentation ensure you maintain control and adaptability as your environment evolves.

How long does it take to deploy AI operations & management and what factors affect pricing?

Deployment timelines depend on the complexity of your IT landscape, the number of legacy systems, and the scale of AI use cases. Typical engagements range from a few weeks for targeted automation to several months for full-scale modernization. Pricing follows a predictable, fixed-cost model tailored to your needs, with no hidden fees, and is influenced by system size, integration requirements, and long-term support levels.

What sets this AI operations & management offering apart from other providers?

You benefit from a proven track record in public-sector modernization, rapid mobilization capabilities, and partnerships with Microsoft, AWS, Oracle, and Google Cloud. The service uniquely combines strategic AI implementation with technology-agnostic architectures and a delivery team experienced in government, healthcare, and complex regulatory environments. You gain continuity, immediate backup coverage, and solutions designed for measurable business and public-sector outcomes.