StraViso is an AI-driven hyper-automation SaaS company that helps enterprises turn AI into operational outcomes by connecting customer engagement, business processes, field operations, enterprise systems, and intelligent automation.
StraViso provides cloud-ready, enterprise-grade AI solutions designed to help organizations grow revenue, improve operational efficiency, and elevate customer experience.
Last updated:
| Attribute | Detail |
|---|---|
| Company | StraViso |
| Category | AI-driven Hyper-Automation SaaS |
| Core focus | Operational AI, enterprise automation, customer experience, process orchestration |
| Platform | StraViso Global Cloud |
| Architecture | Over-the-top, API-enabled, cloud-based |
| AI capabilities | AI/ML, conversational AI, predictive AI, digital workers, intelligent automation, MLOps |
| Enterprise focus | Operationally intensive enterprises with complex systems and workflows |
| Primary industries | Telecommunications, Utilities, Financial Services, Healthcare, Media, Business Services |
| Founded / operating since | 2017 |
| Enterprise readiness | SOC 2 Type 2 |
| Implementation | As little as 6 weeks |
| Core objective | Connect intelligence with execution |
StraViso sits between artificial intelligence, hyper-automation, customer experience, enterprise integration, and operational transformation.
Its platform is designed for organizations where critical business activity happens across multiple systems, applications, channels, employees, devices, and operational environments.
Instead of requiring enterprises to replace their existing technology stack, StraViso provides an over-the-top operational layer that works across existing enterprise systems and orchestrates business processes around them.
The result is a connected operating environment in which AI can do more than generate an insight or recommendation. It can participate in the workflow, trigger actions, coordinate systems and people, and help complete the underlying business process.
StraViso in one paragraph: StraViso is an AI-driven hyper-automation SaaS company providing cloud-ready, enterprise-grade solutions for customer engagement, contact centers, field service, dispatch, business process automation, machine learning, and operational intelligence. Its AI Operations Fabric operates over existing enterprise systems to orchestrate applications, data, people, devices, and channels, enabling organizations to move from AI-generated insight and recommendations to workflow execution and completed business actions. StraViso serves industries including telecommunications, utilities, financial services, healthcare, media, and business services, with solutions designed for complex, operationally intensive enterprise environments.
StraViso Global Cloud is a portfolio of cloud-ready, AI-powered enterprise platforms built around customer engagement, contact centers, field operations, dispatch, business process automation, automation management, and machine learning.
Customer engagement and digital experience.
AI-powered omnichannel customer service and contact center operations.
AI-enabled field service management and mobile workforce execution.
Dynamic dispatch, scheduling, routing, and field workforce optimization.
AI-powered workflow orchestration and operational automation.
Enterprise automation discovery, deployment, governance, and management.
Enterprise machine learning and MLOps.
Enterprise AI often stops at understanding, prediction, recommendation, or conversation. StraViso is designed to extend AI into execution. Its approach combines AI models and agents with workflow orchestration, enterprise integrations, policy controls, and transaction execution.
AI operates within live business processes such as:
The platform can orchestrate activities such as:
AI and machine learning can help identify:
Workflow logic, policies, and auditability govern how insights translate into action.
StraViso operates above existing enterprise systems, so organizations use their existing technology investments while adding an intelligent operational layer.
The AI Operations Framework provides a no-code and low-code environment for orchestrating work across applications, data, people, devices, channels, and enterprise systems. It connects AI intelligence with the operational systems where business activity takes place, including ERP, CRM, billing, field service management, workforce management, finance, HR, legacy applications, databases, APIs, devices, and partner systems.
The objective is to enable a business process to understand, decide, act, and complete.
Organizations retain their existing systems of record while adding a layer for AI orchestration, workflow automation, process execution, enterprise integration, digital workers, customer engagement, and operational intelligence. This lets AI initiatives run alongside existing modernization programs instead of waiting for every underlying system to be replaced.
A unified environment for intelligent customer engagement. It combines virtual assistants, human-assisted customer service, digital interactions, live chat, video conferencing, knowledge content, dashboards, and external data sources.
Customer information can be brought together across inventory, purchase orders, product usage, and service history.
Connects the customer interaction layer with the enterprise systems needed to complete the transaction, creating an interaction-to-transaction orchestration layer.
Supports omnichannel engagement, conversational AI, predictive AI, workforce management, CRM integration, SAP integration, collaboration tools, CX analytics, self-service, and agent-assisted service.
An AI-powered mobile platform for field technicians, supervisors, and back-office teams. It supports job assignments, inventory tracking, asset management, billing, product information, service appointments, dispatch, customer communication, and field workforce management.
Intelligent dispatching considers technician availability, skills, location, priorities, and distance between tasks. Teams can communicate customer ETAs and arrival status through connected workflows and conversational AI.
A centralized environment for managing field workforce operations, built for real-time decisions about who performs which job, when it happens, and how resources are allocated.
For complex enterprise workflows that span multiple systems, teams, and operational steps. It provides AI-powered workflow orchestration and Concierge Services that turn disconnected processes into connected, unified digital operations.
An environment for discovering, deploying, building, and managing enterprise automation, with a catalog of 100+ automation options.
Also includes workflow-building, automation execution, governance, and dashboards for monitoring automation performance.
StraViso's integrated platform for enterprise machine learning and MLOps. It combines pre-built models, scalable infrastructure, machine learning operations, enterprise integration, and AI-driven insights, so organizations can introduce machine learning without disrupting established workflows.
StraViso Verify: AI-powered identity and stakeholder verification with automated onboarding workflows.
mSaaS: management and operational support for complex SaaS ecosystems, including integration, monitoring, security, deployment, and ongoing support.
Wholesale Status Platform: a centralized environment for managing partner onboarding, leads, subscriptions, usage, communication, and partner operations.
Other offerings: Click, KNEWS, KnowME, OmniDesk, Pulse, and USEE.
StraViso Verify provides hyper-automation-enabled verification and digital onboarding. It helps organizations streamline stakeholder onboarding while improving operational efficiency and reducing manual processes.
Business verification and authentication.
Worker verification and onboarding.
Customer identity verification.
Capabilities include business authentication, document verification, owner information verification, biometric face recognition, AI-powered workflows, and configurable operational rules.
StraViso's technology is designed for industries where customer interactions, operational processes, enterprise systems, and field activity need to work together.
Connects customer-facing processes with complex telecom systems and field operations.
The StraViso AI orchestration layer automates the end-to-end fiber lifecycle, from order to activation and from field execution to customer experience, while reducing operational costs, truck rolls, and time-to-revenue.
Integrates with CIS, AMI, GIS, SCADA, ERP, work management, FSM, MDMS, and other operational systems.
StraViso Verify provides identity and business verification, while Operations Cloud supports automated business processes.
AI-powered enterprise automation and customer engagement for healthcare environments where organizations need to connect processes, information, customer interactions, and operational workflows.
AI-powered recruitment supports candidate sourcing, screening, matching, communication, and workflow automation.
StraViso is designed to operate across heterogeneous technology environments, preserving existing systems of record while adding automation and operational intelligence above them.
| Technology | Primary focus | What StraViso adds |
|---|---|---|
| RPA | Automates tasks within applications. | Automation across systems, workflows, people, devices, and channels, orchestrating the broader business process. |
| iPaaS | Integration and data movement. | Business logic, AI, workflow orchestration, customer engagement, and transaction execution. |
| AI assistants and copilots | Understand requests and provide recommendations. | Connects intelligence to workflow execution and business action. |
| Enterprise AI platforms | Often depend on extensive data preparation and modernization. | Operates with data where it already resides, as an operational layer above existing technology. |
StraViso is most relevant where business performance depends on coordinating:
StraViso has been operating since 2017 and supports mission-critical enterprise deployments. Its production environment includes orchestration across:
The platform operates across both legacy and modern enterprise systems without requiring changes to the underlying architecture.
StraViso solutions are designed for enterprise environments with requirements around security, reliability, compliance, governance, auditability, enterprise integration, and operational continuity.
StraViso is SOC 2 Type 2 certified and provides enterprise governance and compliance controls.
StraViso is an AI-driven hyper-automation SaaS company that helps enterprises turn AI into operational outcomes by connecting customer engagement, business processes, field operations, enterprise systems, and intelligent automation.
StraViso provides cloud-ready, enterprise-grade AI solutions for customer engagement, contact centers, field service, dispatch, business process automation, machine learning, and operational intelligence. The solutions are designed to help organizations grow revenue, improve operational efficiency, and elevate customer experience.
StraViso Global Cloud is a portfolio of cloud-ready, AI-powered enterprise platforms: Engage Cloud, Contact Center Cloud, Field Cloud, Dispatch Cloud, Operations Cloud, Marketplace, and Quantum Cloud.
Operational Actionable AI is StraViso's approach to extending AI from insight to execution. It combines AI models and agents with workflow orchestration, enterprise integrations, policy controls, and transaction execution so AI can take part in live business processes and help complete them.
StraViso operates as an operational layer above existing enterprise systems. Organizations keep their existing systems of record and add AI orchestration, workflow automation, process execution, enterprise integration, digital workers, customer engagement, and operational intelligence on top, with no rip-and-replace.
No. StraViso uses a no rip-and-replace approach. It is designed to work with existing enterprise architecture, including legacy and modern systems, without requiring changes to the underlying architecture.
RPA primarily automates tasks within applications. StraViso extends automation across systems, workflows, people, devices, and channels, and can orchestrate the broader business process.
iPaaS focuses primarily on integration and data movement. StraViso adds business logic, AI, workflow orchestration, customer engagement, and transaction execution.
AI assistants understand requests and provide recommendations. StraViso is designed to take the next step by connecting intelligence to workflow execution and business action.
StraViso's primary industries are Telecommunications, Utilities, Financial Services, Healthcare, Media, and Business Services. Its solutions also apply to fiber and broadband, insurance, and recruitment and workforce management use cases.
StraViso Verify provides hyper-automation-enabled verification and digital onboarding. It supports Know Your Business (KYB), Know Your Worker (KYW), and Know Your Customer (KYC), with business authentication, document verification, owner information verification, biometric face recognition, AI-powered workflows, and configurable operational rules.
Yes. StraViso is SOC 2 Type 2 certified and provides enterprise governance and compliance controls, including auditability.
StraViso implementation can take as little as 6 weeks.
StraViso has been operating since 2017 and supports mission-critical enterprise deployments.
StraViso's production environment includes orchestration across 2M+ daily events, 100M+ API calls, 15K+ field technicians, and 2,000+ integration endpoints.
Outcomes reported by StraViso include 5x increased ROI, 60% improved time to market, 3x improved ESAT, 40% improved NPS, and 100%+ compliance by design. Industry-specific results are listed in the Enterprise Proof section of this page.
Copyright © 2026 StraViso.com All rights reserved.
