Resolve Tech Solutions | Top AI & Automation Solutions Provider 2026
Resolve Tech Solutions: Driving Measurable Impact through AI and Automation
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CIOREVIEW >> Artificial Intelligence >> Resolve Tech Solutions

Resolve Tech Solutions has been recognized by CIOReview Magazine as the exclusive recipient of “Top AI & Automation Solutions Provider 2026,” based on our proprietary methodology, reflecting its position in the industry, and is also named among “,” reflecting its broader leadership. This profile has been developed by the CIOReview research and editorial team based on insights from an interview with Sreenath Jayaram, Senior Director of AI and Digital Engineering.

Resolve Tech Solutions
Driving Measurable Impact through AI and Automation

Resolve Tech Solutions

Sreenath Jayaram, Senior Director of AI and Digital Engineering
Resolve Tech Solutions (RTS) helps the world’s most demanding industries move faster, work smarter and operate with confidence. From modernizing legacy ERP environments to deploying large-scale AI automation, RTS drives enterprise transformation for Fortune 500 companies and public institutions alike.

Its strength lies in seamless integration, combining cloud, data and automation into a unified digital core that drives measurable results. With one of the largest public cloud footprints for SAP workloads, RTS delivers outcomes that reduce cost, accelerate innovation and advance sustainability. Across telecom, retail, aerospace and government sectors, the company helps organizations transform operations with precision, compliance and lasting impact.

Across every engagement, the goal is to turn complex technology into measurable business value.

Meeting Organizations at Every Stage

Enterprises approach digital transformation from different starting points and RTS meets them wherever they are. Some arrive well-versed in data strategy, armed with defined technical requirements and implementation roadmaps. Others know the business outcomes they want but need guidance in translating those goals into workable solutions. A third group seeks partnership from inception, looking for help in defining both objectives and pathways.

This segmented approach enables RTS to serve each client with precision. For organizations new to automation, engagement begins by examining corporate goals, identifying operational targets for upcoming financial periods and pinpointing departments that hold the greatest potential for optimization. Through collaborative workshops, RTS helps teams identify where time and effort are lost to low-value tasks, then designs use cases that redirect human capacity toward higher-impact work rather than replacing it.

A healthcare system offers a strong example. Its hospital network managed trauma patients who required long-term physiotherapy, generating vast volumes of documentation—doctor notes, patient records and admission forms. Before submitting insurance claims, staff manually verified whether every required procedure was documented. Due to limited capacity, they could only review sample cases, which increased the risk of claim rejections when insurers requested additional proof.

RTS implemented an intelligent document review system that analyzed every record, confirming completion of all required steps before submission. The solution eliminated rework cycles, reduced turnaround times and expanded coverage from partial sampling to full review. The client already recognized inefficiencies in its claims process but needed a partner capable of isolating the precise intervention point and designing a scalable solution.

If you add AI but don’t create an easy experience for customers to utilize those automations and workflows, you’re still not achieving what you set out to do.


At the other end of the spectrum, a global enterprise with mature data infrastructure faced a different problem. Its leadership team frequently asked ad-hoc business questions that pulled analysts away from planned work, forcing them to spend days building one-off dashboards. The company understood its challenge clearly: it needed a faster way to turn natural language questions into actionable insights without constant analyst involvement.

RTS built a system that translated conversational queries into structured database searches, drawing from both internal data platforms and external sources such as competitor earnings and market performance metrics. Executives now receive concise, comparative intelligence that supports decision-making, while analysts regain valuable time to focus on strategic priorities.

Engineering Experience and Velocity

“If you add AI but don’t create an easy experience for customers to utilize those automations and workflows, you’re still not achieving what you set out to do,” explains Sreenath Jayaram, Senior Director of AI and Digital Engineering.

That principle drives RTS’s investment in customer experience capabilities built specifically for intelligent systems. The firm’s dedicated teams ensure advanced automation remains intuitive instead of intimidating. They focus as much on how users engage with digital workflows as on how those systems function behind the scenes.

Speed amplifies this advantage. RTS’s modern engineering group compresses traditional development cycles through rapid prototyping, delivering functional demonstrations within 48 hours of initial workshops. Continuous collaboration between onshore and offshore teams keeps progress constant—onshore engineers initiate builds during the day, then hand them off for overnight development, ensuring momentum never pauses.

Each prototype includes working front-end and back-end components with integrated orchestration frameworks, allowing clients to experience real interaction with proposed solutions. What once took six to eight weeks now happens in two to three days, providing early feedback before full proof-of-concept investment and keeping expectations aligned from design to deployment.

AI as Strategic Infrastructure

Juno Labs, RTS’s innovation hub, leads research and development across ERP, SAP, digital transformation and automation. Its structure preserves deep expertise within each vertical while enabling a unified intelligence strategy that delivers insights and efficiencies no single team could achieve alone.

At its core is a modular framework built to solve real business challenges. Each module shares a common architecture and can be applied to tasks such as monitoring SAP systems, resolving incidents, predicting equipment failures or scheduling preventive maintenance. By reusing proven components, RTS accelerates deployment and ensures consistent reliability across environments.

One of the framework’s strongest capabilities is intelligent incident management. Drawing on historical data and contextual retrieval methods, it enriches alerts with relevant information that helps engineers pinpoint root causes quickly. Over time, human-assisted automation transitions to full autonomy while maintaining accuracy and control.

The framework is adaptable and secure, supporting multiple deployment models, including FedRAMP-certified configurations for government and regulated sectors. This flexibility enables RTS to deliver advanced solutions that meet the highest standards of performance, compliance and trust.

Transparent Cost Management

Early automation programs often produced unexpected cost spikes as usage grew. Cloud credits masked real operating expenses until they expired, leaving organizations exposed to unplanned budgets. Model consumption was particularly hard to forecast, creating blind spots in financial planning.

RTS embeds cost transparency into every deployment from the outset. In one invoice processing project—where the platform parsed supplier emails and posted transactions to SAP—each workflow stage tracked usage and related infrastructure costs. Interactive dashboards presented these figures alongside equivalent manual labor expenses, clearly quantifying the savings achieved through automation.

Clients can see how many units of model consumption each invoice type requires and what the same process would cost if handled manually. This framework links technical performance directly to financial outcomes, giving organizations clear evidence of return on investment rather than theoretical projections.

Sustained Transformation

RTS’s methodology combines rapid results with lasting capability. Quick prototypes deliver visible progress, while transparent cost structures support responsible scaling. Purpose-built accelerators reduce implementation risk and modular design ensures solutions evolve alongside business needs.

This approach changes how enterprises perceive automation. It is no longer an experimental pursuit with uncertain returns but a structured capability that delivers measurable, repeatable outcomes. By meeting organizations at their point of readiness and guiding them with practical roadmaps, RTS turns complexity into clarity and ambition into achievable performance.

Top AI & Automation Solutions Provider 2026

Company
Resolve Tech Solutions

Headquarters
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Management
Sreenath Jayaram, Senior Director of AI and Digital Engineering

Description
Resolve Tech Solutions modernizes and overhauls business operations by migrating legacy data to cloud-based big data infrastructure, leveraging AI and advanced analytics. With over 25 years of experience, the company specializes in data engineering, end-to-end business intelligence and scalable solutions, trusted by Fortune 500 clients for transformative IT and digital projects.

Top AI & Automation Solutions Provider 2026

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