Zvolv takes the reduction of risk, complexity of technology and tool-choices away by providing an offering that wraps various technologies (BPA, RPA, iPaaS, IDP) as a business capability and provides a commercial contracting vehicle that is driven by business outcomes.
Improved forecast accuracy with more accurate predictions about demand, inventory levels, resource allocation, and reducing costly surprises.
Common capabilities like Orchestration of business processes, Enterprise connectivity / integration, Intelligent document processing, Process mining, Design, optimization and discovery of business processes, are being sought after by clients to solve their enterprise-wide challenges for managing growth in an economically tight environment.
Generative AI is increasingly being seen as an enabler to help automate complex tasks, optimize processes by learning from data, feedback and outcomes, enable and driving design for new processes by generating workflows and rules/actions to achieving business goals.
To extract value from this growing focus around Gen AI, enterprises are seeking optionality around, choice of LLM models, fine-tuning these models for their specific industry use case, and enabling Intelligent Agents that are both conversational and context-aware and respond to events from automation.
Enterprises require a category of tools that can help in the overall orchestration and automation of end-to-end business processes connecting multiple systems of records. These categories of tools are ever growing and still evolving.
Improved forecast accuracy with more accurate predictions about demand, inventory levels, resource allocation, and reducing costly surprises.
Common capabilities like Orchestration of business processes, Enterprise connectivity / integration, Intelligent document processing, Process mining, Design, optimization and discovery of business processes, are being sought after by clients to solve their enterprise-wide challenges for managing growth in an economically tight environment.
Generative AI is increasingly being seen as an enabler to help automate complex tasks, optimize processes by learning from data, feedback and outcomes, enable and driving design for new processes by generating workflows and rules/actions to achieving business goals.
To extract value from this growing focus around Gen AI, enterprises are seeking optionality around, choice of LLM models, fine-tuning these models for their specific industry use case, and enabling Intelligent Agents that are both conversational and context-aware and respond to events from automation.
Enterprises require a category of tools that can help in the overall orchestration and automation of end-to-end business processes connecting multiple systems of records. These categories of tools are ever growing and still evolving.
Improved forecast accuracy with more accurate predictions about demand, inventory levels, resource allocation, and reducing costly surprises.
Common capabilities like Orchestration of business processes, Enterprise connectivity / integration, Intelligent document processing, Process mining, Design, optimization and discovery of business processes, are being sought after by clients to solve their enterprise-wide challenges for managing growth in an economically tight environment.
Generative AI is increasingly being seen as an enabler to help automate complex tasks, optimize processes by learning from data, feedback and outcomes, enable and driving design for new processes by generating workflows and rules/actions to achieving business goals.
To extract value from this growing focus around Gen AI, enterprises are seeking optionality around, choice of LLM models, fine-tuning these models for their specific industry use case, and enabling Intelligent Agents that are both conversational and context-aware and respond to events from automation.
Enterprises require a category of tools that can help in the overall orchestration and automation of end-to-end business processes connecting multiple systems of records. These categories of tools are ever growing and still evolving.
We collaborate with enterprises to identify repetitive tasks, analyze workflows, and define success metrics (e.g., reduced TAT, cost savings).
We design automated workflows using our platform's low-code interface. This includes defining triggers, actions, and decision points.
Seamlessly deploy the automation solution into your existing environment with minimal disruption to your daily operations.
Ensures the automation solution integrates smoothly with your existing systems and applications. This may involve APIs, data connectors, or custom integrations.
Continuously monitor key performance indicators (KPIs) like processing time and error rates. Track progress towards defined goals and utilize real-time dashboards for seamless measurement and visualization.
Based on data and feedback, refinements are made to ensure continuous improvement. This may involve adjusting workflows, integrating new technologies, or scaling the solution.
Zvolv will handle the entire lifecycle of your automated business processes on your private or public cloud. With no need for infrastructure investments or specialized developers, you can scale as needed with a pay-as-you-go model, benefiting from the flexibility and agility of the composable Hyperautomation Platform and HaaS support model.
We collaborate with enterprises to identify repetitive tasks, analyze workflows, and define success metrics (e.g., reduced TAT, cost savings).
We design automated workflows using our platform's low-code interface. This includes defining triggers, actions, and decision points.
Seamlessly deploy the automation solution into your existing environment with minimal disruption to your daily operations.
Ensures the automation solution integrates smoothly with your existing systems and applications. This may involve APIs, data connectors, or custom integrations.
Continuously monitor key performance indicators (KPIs) like processing time and error rates. Track progress towards defined goals and utilize real-time dashboards for seamless measurement and visualization.
Based on data and feedback, refinements are made to ensure continuous improvement. This may involve adjusting workflows, integrating new technologies, or scaling the solution.
Faster Time-to-Value with Outcomes- Based Automation
The speed and accuracy of work
Reduction in Operational Costs
End-to-End Outcome Delivery: From process definition to platform implementation, application development, and beyond, we handle it all.
Customized Center of Excellence (CoE): Whether you prefer a fully managed or hybrid CoE setup, we've got you covered. We can train and establish a CoE tailored to your organization's unique needs, for seamless operations.
Expertise Across the Board: Leveraging the full potential of hyperautomation requires a blend of process expertise, project management, and no/low-code execution skills. With us, you gain access to a team of seasoned professionals who excel in delivering outcomes for industry leaders.
Access to Extensive Accelerator Library: With our platform and extensive library of accelerators (hundreds already in use!), we can scale your automation initiatives rapidly. Whether you're aiming for growth, efficiency improvements, or compliance adherence, we have the tools and expertise to make it happen.
Automate email campaigns, lead nurturing. Streamline lead qualification, proposal generation, and customer onboarding.
Implement chatbots, automated ticket routing and service level agreement (SLA) monitoring and reporting. Offer self-service portals for knowledge base access and issue resolution.
Automate invoice processing, expense reporting, and financial reconciliations. Implement fraud detection and prevention measures.
Streamline order processing, inventory management, and quality control inspections while optimizing logistics and delivery schedules with AI-powered planning and providing real-time visibility into supply chains and shipment tracking.
Implement self-service portals for employee record updates and leave requests. Automate onboarding, payroll processing, and talent management processes.
Enhance IT operations by handling service desk tasks like password resets and user provisioning, infrastructure provisioning, application deployment, and security patching, while also implementing self-healing systems for proactive problem resolution.
Manage legal documents and ensure regulatory compliance while automating contract reviews, redlining processes, risk assessment, streamlining eDiscovery and legal case management.
Automate data analysis, experimentation, and routine lab tasks while leveraging AI for design optimization, running simulations, and generating reports to expedite product development.
HaaS offers a versatile solution for automating tasks across various departments.
Automate email campaigns, lead nurturing. Streamline lead qualification, proposal generation, and customer onboarding.
Implement chatbots, automated ticket routing and service level agreement (SLA) monitoring and reporting. Offer self-service portals for knowledge base access and issue resolution.
Automate invoice processing, expense reporting, and financial reconciliations. Implement fraud detection and prevention measures.
Streamline order processing, inventory management, and quality control inspections while optimizing logistics and delivery schedules with AI-powered planning and providing real-time visibility into supply chains and shipment tracking.
Implement self-service portals for employee record updates and leave requests. Automate onboarding, payroll processing, and talent management processes.
Enhance IT operations by handling service desk tasks like password resets and user provisioning, infrastructure provisioning, application deployment, and security patching, while also implementing self-healing systems for proactive problem resolution.
Manage legal documents and ensure regulatory compliance while automating contract reviews, redlining processes, risk assessment, streamlining eDiscovery and legal case management.
Automate data analysis, experimentation, and routine lab tasks while leveraging AI for design optimization, running simulations, and generating reports to expedite product development.