AI Strategy

Plan AI adoption with measurable business alignment.

Avoid scattered AI spending with a prioritized roadmap shaped by 2017-founded delivery experience.

Turn legacy data challenges into AI-ready plans backed by Microsoft, AWS, Oracle, and Google Cloud partnerships.

Reduce planning risk with fixed-cost delivery models and roughly 80 certified technical professionals.

Prioritize high-impact AI use cases using public-sector modernization and enterprise analytics experience.

Move from AI curiosity to execution with scaled Agile DevOps planning and rapid knowledge transfer.

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Trusted By

Strategy Backed by Enterprise Delivery Experience

Clients value flexible technical execution, practical designs, and reliable modernization support.

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

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 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

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 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

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

AI Roadmaps Built From Public-Sector Delivery Discipline

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 Strategy Services Built for Practical Execution

Structured planning for measurable adoption

Use-Case Planning

Focus on measurable value

TechZavy helps you identify the workflows, decision points, and data assets where AI can create measurable value. The process connects business goals to practical use cases such as predictive modeling, automation, AIOps insights, analytics, and cognitive user experience improvements.

You receive a clear prioritization model that separates quick wins from complex modernization work, reducing the risk of investing in tools before the operating need is defined.

Data Readiness

Prepare data for AI use

AI strategy depends on data that is accessible, trustworthy, and aligned to the decisions it supports. TechZavy evaluates legacy data, cloud platforms, SQL infrastructure, integrations, reporting workflows, and data governance gaps to determine what must be modernized before AI is deployed.

The outcome is an AI readiness view that supports better sequencing, realistic budgets, and a stronger path from fragmented information to production-ready intelligence.

Tool Selection

Select tools with confidence

Choosing AI tools in isolation often creates cost, integration, and support issues. TechZavy provides technology-agnostic architecture guidance informed by Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner capabilities.

Your strategy can compare platforms, data services, automation options, and deployment patterns based on existing systems, risk tolerance, security expectations, user needs, and long-term scalability.

Roadmap Design

Sequence work by impact

A strong AI plan defines the order of work, not just the destination. TechZavy builds implementation roadmaps that organize use cases into practical phases with milestones for data preparation, prototype validation, workflow integration, testing, deployment, training, and support transition.

This approach helps you manage budget pressure, reduce delivery uncertainty, and create a path that business, IT, and operational leaders can inspect and adjust.

AI Governance

Reduce adoption risk

AI adoption introduces new questions around decision quality, user trust, documentation, monitoring, and change control. TechZavy helps you define governance expectations that fit your environment without slowing innovation unnecessarily.

Planning can include model oversight, human review points, access considerations, knowledge transfer, performance checks, and operational support models so AI initiatives are easier to manage after deployment.

Delivery Planning

Move strategy into delivery

AI strategy should prepare your organization to execute, not stop at a presentation. TechZavy connects planning to scaled Agile DevOps, rapid mobilization, documentation pipelines, testing practices, monitoring, and consultant backup coverage where needed.

This delivery lens helps your roadmap move from approved priorities into actionable workstreams with clearer ownership, stronger continuity, and fewer gaps between strategy and implementation.

Our Elite Partners

Proven Delivery Foundations for Your AI Roadmap

80%

First-Call Resolution

95%

Customer Satisfaction

5 Day

Client Onboarding

Turn AI Interest Into an Actionable Roadmap

AI strategy should clarify where AI creates operational value, not add another layer of tools. TechZavy helps you define the business goals, data dependencies, workflows, risks, and sequencing needed to move from experimentation into planned execution.

That plan is grounded in delivery discipline: value stream alignment, technology-agnostic architectures, cloud readiness, security-minded modernization, and measurable use-case prioritization. With experience across public-sector systems, healthcare analytics, environmental platforms, and enterprise modernization, TechZavy connects AI adoption to continuity, scalability, and practical outcomes your teams can evaluate.

Prioritize the Right AI Investments First

A structured AI roadmap helps you decide what to automate, what to modernize first, and what should wait. TechZavy aligns AI planning with business priorities, operational constraints, and realistic implementation paths.

Prioritized AI use cases tied to measurable business or program outcomes
Data readiness review for legacy systems, fragmented records, and cloud platforms
Tool and architecture guidance across Microsoft, AWS, Oracle, and Google Cloud environments
Risk-aware sequencing for budget, staffing, governance, and adoption needs
Execution planning that supports agile delivery, testing, monitoring, and knowledge transfer

Plan for Production-Ready AI Adoption

Effective AI strategy depends on more than selecting a model or platform. You need an operating plan that considers process change, user experience, data quality, infrastructure, and long-term support.

TechZavy brings managed and professional IT services experience to that planning process, including application development, AI-driven migration, AIOps, analytics, and cloud modernization. Your roadmap can account for production readiness from the start, including integration with legacy data, predictive modeling opportunities, user-friendly designs, and the delivery controls needed to sustain progress after the first AI initiative launches.

Build Your AI Strategy With Confidence

Prioritize high-impact AI use cases with a practical execution roadmap.

Explore Connected AI and IT Services

Frequently Asked Questions

What does the AI Strategy service include for enterprise organizations?

The AI Strategy service provides a tailored roadmap to help you prioritize, plan, and execute high-impact AI initiatives. This includes a review of business goals, data readiness analysis, technology-agnostic architecture guidance, and risk-aware sequencing. You receive actionable recommendations shaped by proven delivery discipline and experience with public-sector and enterprise modernization projects. The focus is on aligning AI investments with measurable outcomes, operational continuity, and scalability.

What business outcomes can you expect from an AI strategy engagement?

An AI strategy engagement is designed to deliver outcomes you can measure and sustain. Benefits include:

Operational efficiency through automation and streamlined workflows
Better alignment between IT and business priorities
Modernization of legacy data and platforms for AI readiness
Improved risk management and predictable scaling
Faster decision-making enabled by data-driven insights and predictive modeling

How is the AI strategy process structured from start to finish?

The AI strategy process starts with understanding your business drivers, legacy systems, and data landscape. A delivery team conducts workshops, readiness assessments, and value stream mapping to identify priority use cases. The next steps include architecture and tooling recommendations, risk and sequencing analysis, and a clear roadmap for agile execution, knowledge transfer, and operational adoption. Support continues through documentation, testing, and transition planning to ensure implementation is practical and sustainable.

How long does an AI strategy engagement typically take and what does it cost?

Most AI strategy engagements are scoped to deliver actionable roadmaps in 4-8 weeks, depending on your environment’s complexity and data readiness. Pricing uses a fixed-cost model to give you predictability and transparency, with rates reflecting the expertise of certified professionals and the depth of analysis required. You receive a detailed proposal up front that includes all workshops, assessments, and deliverables, so there are no surprises during the process.

Why choose this AI strategy provider over others for complex environments?

You benefit from a proven track record in public-sector and enterprise delivery, including modernization for government agencies, healthcare analytics, and environmental management platforms. Partnerships with Microsoft, AWS, Oracle, and Google Cloud ensure you receive technology-agnostic guidance that fits your ecosystem. The delivery approach emphasizes rapid mobilization, scaled Agile DevOps, robust knowledge transfer, and continuity, ideal for organizations that need both strategic alignment and operational discipline in their AI adoption.