AI Readiness Check

Practical AI readiness, aligned to operations.

Unclear AI priorities become ranked use cases backed by data, workflow, and risk analysis.

Legacy complexity is mapped into a practical roadmap using technology-agnostic architecture.

Data gaps are identified early with cloud insight from Microsoft, AWS, Oracle, and Google partners.

Delivery risk is reduced through scaled Agile DevOps, documentation, testing, and pilot planning.

Public-sector AI experience helps move from proof of concept to measurable early production value.

Request a Quote for our AI Readiness Check

Trusted By

Trusted for Complex Technology Decisions

Flexible, technically fluent guidance for teams planning modernization and AI adoption.

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

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 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

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-Driven Case Management Built on Readiness First

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

What Your AI Readiness Check Includes

Practical evaluation before AI investment

Current-State Review

Clarify your starting point

AI readiness starts with a grounded inventory of your current systems, workflows, integrations, and data sources. TechZavy reviews application portfolios, legacy dependencies, reporting pipelines, user roles, and operational constraints to show where AI can help and where modernization must come first.

You receive a practical baseline that connects business objectives to technical feasibility, reducing the risk of starting with tools before the environment is ready.

Data Readiness

Turn data into AI value

Strong AI outcomes depend on usable, trusted data. TechZavy assesses master data, data quality, governance, availability, reporting gaps, and analytics maturity across your operating environment. This includes reviewing cloud readiness, lakehouse potential, integration patterns, and data mapping needs.

The output helps you understand whether your data can support predictive modeling, automation, dashboards, AI agents, or early production systems that measure value.

Use Case Ranking

Prioritize use cases

Not every AI idea deserves immediate investment. TechZavy helps identify and rank use cases based on business value, operational impact, data availability, user adoption needs, and delivery complexity. The process separates high-impact opportunities from experiments that lack enough foundation.

Your roadmap can prioritize proof of concept, technology, and value so leadership can invest in AI with clearer scope, measurable outcomes, and realistic delivery expectations.

Architecture Review

Reduce technical risk

AI projects often stall when architecture, security, integrations, and support models are not ready. TechZavy evaluates cloud infrastructure, DevSecOps practices, APIs, access controls, monitoring, testing, and deployment discipline to identify readiness gaps before implementation begins.

The assessment supports technology-agnostic architectures and secure, performance-optimized cloud infrastructure that can move from pilot to early production without avoidable disruption.

Roadmap Planning

Define the AI roadmap

A readiness check should produce decisions, not just observations. TechZavy converts findings into a sequenced roadmap with modernization needs, recommended pilots, data workstreams, governance considerations, staffing needs, and estimated delivery dependencies.

This gives technical and business stakeholders a shared plan for AI adoption, including where to begin, what must be corrected, and how to measure value before broader automation or AI agent deployment.

Delivery Readiness

Prepare for delivery

TechZavy evaluates AI readiness through the same delivery discipline used in complex public-sector and enterprise technology programs. Scaled Agile DevOps, documentation, testing, monitoring, and rapid knowledge transfer are considered early so the plan can survive operational complexity.

That delivery lens helps reduce disruption, support continuity, and prepare your team for practical AI pilots, early production systems, and longer-term modernization.

Our Elite Partners

Proven Delivery Strength Behind Practical AI Readiness

80%

First-Call Resolution

95%

Customer Satisfaction

5 Day

Client Onboarding Time

Know Where AI Can Deliver Real Operational Value

An AI Readiness Check gives you a clear view of where AI can create value, where operational risk exists, and what must be in place before investing in pilots or production systems.

TechZavy evaluates your application inventory, data maturity, integration patterns, security constraints, workflow dependencies, and business objectives. The result is not a generic AI wish list. You receive practical recommendations tied to realistic AI objectives, modernization needs, cost considerations, and delivery sequencing.

With experience across government, healthcare, environment, fintech, retail, and supply chain environments, TechZavy helps you define proof of concept, technology, and value before scaling AI across complex operations.

A Structured Readiness Model Before AI Execution

AI readiness is strongest when business goals, data, applications, and delivery discipline are assessed together. TechZavy connects strategy with technical execution so your team can pursue AI without creating hidden complexity.

Identify high-impact AI and automation use cases tied to measurable business outcomes.
Assess application inventory, legacy systems, APIs, and integration dependencies.
Review data quality, master data, governance, reporting, and analytics maturity.
Evaluate cloud, DevSecOps, monitoring, testing, and deployment readiness.
Prioritize pilots, proofs of concept, and early production systems based on value and risk.

Technology-Agnostic Guidance for Responsible AI Adoption

TechZavy brings a delivery lens to AI assessment. Recommendations are shaped by what your platforms, teams, budgets, and operating environment can realistically support.

As a Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner, TechZavy can evaluate AI opportunities without locking your organization into a single technology path. Public-sector work, including AI-driven case management and enterprise data modernization, supports a practical understanding of governance, uptime, user experience, and long-term maintainability.

Your readiness output can guide modernization, data engineering, agentic workflow automation, AI agent development, or a focused pilot that measures value before wider investment.

Evaluate Your AI Readiness With Confidence

Turn uncertainty into a practical AI roadmap tied to measurable value.

Explore Services That Support AI Readiness

Frequently Asked Questions

What does the AI readiness check actually assess within my organization?

The AI Readiness Check evaluates your application inventory, data maturity, integration patterns, security constraints, workflow dependencies, and alignment with business objectives. This assessment identifies where AI can add operational value, highlights areas of technical debt or risk, and clarifies what is needed before investing in AI pilots or production systems. The approach is technology-agnostic, ensuring your unique environment, including legacy and cloud systems, is mapped to a practical, actionable roadmap.

How will an AI readiness check benefit my business operations?

An AI Readiness Check transforms unclear AI priorities into ranked, data-driven use cases with risk analysis, helping you focus investment on high-impact areas. You receive:

Clear visibility into where AI can deliver measurable outcomes
A prioritized roadmap that bridges legacy and new systems
Early identification of data gaps and operational risks
Reduced project uncertainty through structured pilots and proof of concept planning

What steps are involved in the AI readiness check process?

The process begins with discovery sessions to understand your business goals and current IT landscape. This is followed by technical assessments of your application inventory, data governance, integration points, and infrastructure readiness. You then receive tailored recommendations, including prioritized AI use cases, pilot project sequencing, and practical modernization steps, all documented for transparency and future scaling.

How long does it take to complete an AI readiness check and what should I prepare?

Most AI Readiness Check engagements are structured to deliver actionable results within 2 to 4 weeks, depending on your organization’s size and system complexity. To accelerate the process, prepare documentation on your application inventory, available data sources, IT workflows, and any existing AI or automation initiatives. Early access to relevant stakeholders enables a more accurate and comprehensive assessment.

What makes this AI readiness check different from other providers?

This AI Readiness Check stands out through deep experience with public-sector, healthcare, and complex enterprise environments, backed by partnerships with Microsoft, AWS, Oracle, and Google Cloud. The approach is technology-agnostic, not tied to a single platform, and emphasizes data-driven alignment, structured delivery, and rapid mobilization. You benefit from a track record of delivering AI-driven systems for government agencies and regulated industries, ensuring recommendations are realistic, secure, and designed for measurable value.