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.
Automate repetitive work without disrupting operations.
Reduce manual bottlenecks with RPA mapped to proven public-sector modernization practices.
Lower deployment risk with scaled Agile DevOps, documentation, testing, and backup coverage.
Connect legacy and cloud systems using technology-agnostic architecture and partner-backed expertise.
Turn repetitive tasks into auditable workflows supported by AI, monitoring, and operational controls.
Move faster with roughly 80 qualified specialists across development, analysis, testing, and support.
Enterprise teams rely on TechZavy for technical depth, flexibility, and continuity.
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 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.
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 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
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
Effective RPA starts with understanding where repetitive work creates measurable operational drag. TechZavy evaluates process steps, system dependencies, exception rates, data movement, and user effort to identify automation candidates with clear value.
Deliverables can include workflow maps, opportunity scoring, risk notes, and a phased roadmap that helps you prioritize high-impact use cases before investing in full implementation.
RPA bots need to fit the systems you already depend on. TechZavy designs technology-agnostic bot architecture for web apps, legacy platforms, databases, cloud services, and document-driven workflows.
The focus is maintainable automation: reusable components, secure access patterns, clear configuration, and documentation that supports future changes, rapid knowledge transfer, and operational continuity.
When rules-based automation is not enough, TechZavy helps apply AI to higher-value workflow challenges. Examples include document classification, data extraction, routing decisions, anomaly detection, and user-facing automation prompts.
AI-enabled RPA is tied to practical outcomes, not vague transformation claims. Each use case is assessed for accuracy, governance, business value, and supportability before production deployment.
Many automation opportunities fail because data is fragmented across legacy and modern platforms. TechZavy supports integrations that connect RPA workflows with APIs, databases, file repositories, cloud services, and reporting environments.
Experience with enterprise data modernization, including Azure-hosted platforms and Azure Databricks Lakehouse work, helps create cleaner handoffs and more reliable downstream analytics.
RPA must be tested like any operational system. TechZavy applies structured validation to confirm that bots handle expected paths, exceptions, access restrictions, timing issues, and application changes.
Governance support can include change control, deployment documentation, audit trails, role-based access planning, and quality validation so automation supports compliance needs instead of adding hidden risk.
After deployment, RPA needs monitoring, maintenance, and continuous improvement. TechZavy provides support practices that track failures, manage bot updates, review performance, and adapt workflows as systems or business rules change.
AIOps-Enhanced Delivery, documentation pipelines, and backup coverage help reduce dependency on one resource while improving responsiveness and long-term automation reliability.
RPA creates the most value when it targets operational friction that is measurable, repeatable, and tied to business priorities. TechZavy helps identify where automation can reduce handoffs, duplicate entry, reporting delays, and exception-heavy workflows without forcing a single platform choice.
Each implementation is shaped around Data-Driven Alignment: process data, user needs, compliance requirements, and system dependencies inform the roadmap. That practical approach helps you move from scattered automation ideas to high-impact use cases that support uptime, continuity, and better decision-making.
Reliable RPA depends on more than building bots. It requires the right controls, integration strategy, documentation, and support model from the start.
With Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner status, TechZavy can support automation across complex enterprise ecosystems.
Automation must keep working after launch. TechZavy supports RPA programs with Agile DevOps practices, knowledge transfer, monitoring, documentation pipelines, and immediate backup coverage that help reduce staffing and continuity risk.
This support model is especially valuable for government, healthcare, finance, retail, environment, and supply chain organizations where workflows often span legacy applications, reporting systems, user portals, and regulated data. The result is a more resilient automation environment that can adapt as business rules, applications, and service expectations change.
Identify practical RPA use cases that reduce manual effort and risk.
The RPA implementation & support service covers the full automation lifecycle from process discovery to ongoing maintenance. You receive help identifying the right workflows to automate, designing bots for both legacy and cloud environments, and integrating automation with your existing systems. Support includes secure credential management, detailed documentation pipelines, proactive monitoring, and rapid issue resolution to keep operations stable. The service is technology-agnostic and leverages expertise across platforms like Microsoft, AWS, Oracle, and Google Cloud.
RPA implementation & support helps you eliminate repetitive manual tasks, reduce errors, and streamline cross-system processes. By automating handoffs, duplicate entry, and exception-heavy workflows, you gain measurable improvements in speed and accuracy. This approach minimizes operational friction, allows your team to focus on higher-value work, and delivers consistent, auditable outcomes without major disruption to existing operations.
The integration approach is technology-agnostic, designed to connect both legacy and cloud platforms without forcing a single vendor solution. Process data, compliance requirements, and system dependencies are mapped at the outset to shape a tailored automation roadmap. The delivery model emphasizes Agile DevOps practices, rapid knowledge transfer, and scalable architecture to ensure seamless, secure integration wherever your data and applications reside.
Deployment timelines depend on process complexity but most RPA solutions move from discovery to production in weeks, not months. The process includes:
Predictable cost models and transparent project plans help you manage both budget and schedule effectively.
You benefit from a proven track record in public-sector and enterprise automation, with rapid mobilization and continuity built in. The team includes roughly 80 certified specialists and leverages partnerships with Microsoft, AWS, Oracle, and Google Cloud to support diverse technical environments. The approach is grounded in Data-Driven Alignment and AIOps-Enhanced Delivery, ensuring your automation is secure, scalable, and aligned to your operational priorities. Immediate backup coverage, detailed documentation, and agile knowledge transfer minimize project risk and deliver sustained value.