With over 15 years of dedicated expertise and a track record of empowering 2,860+ global clients across the USA, Europe, and Australia, Viston delivers end-to-end Custom AI Agent Solutions. We build task-focused autonomous agents using advanced frameworks like AutoGen Studio, CrewAI, and Vertex AI Agent Builder to automate complex workflows, unlock predictive intelligence, and accelerate your workforce transformation. Our LLMOps in a Box approach ensures your enterprise can deploy responsible, scalable, and high-performance AI agents that deliver measurable ROI from day one. Trust Viston to turn your operational challenges into competitive advantages.
In today’s hyper-competitive landscape, enterprise success hinges on operational agility and data-driven foresight. Custom AI Agent Solutions are no longer a futuristic concept but a critical component of a modern digital strategy. These intelligent agents act as autonomous members of your workforce, capable of executing complex, multi-step tasks without human intervention. From monitoring supply chains in real-time to performing dynamic financial modeling, AI agents streamline processes that were once manual, error-prone, and slow. By integrating agents built on powerful platforms like Google’s Vertex AI and open-source frameworks like AutoGen, businesses can unlock unprecedented efficiency and innovation.
Viston stands at the forefront of this revolution, providing an end-to-end LLMOps platform designed for enterprise velocity. Our global teams in the USA, UK, Germany, and Australia specialize in deploying robust AI solutions tailored to your specific operational needs.
We manage the entire lifecycle, from agent design and model fine-tuning to deployment, monitoring, and governance, ensuring seamless integration and peak performance.
Using tools like AutoGen Studio and CrewAI, we build specialized agents designed to execute specific business functions with high precision and reliability.
Our solutions extend beyond the cloud, deploying lightweight, powerful agents on edge devices to process data and make decisions locally for real-time responsiveness.
We embed security, ethics, and compliance guardrails directly into every agent, ensuring your automated workflows adhere to GDPR, CCPA, and other regional regulations.
Intelligent Agent Frameworks
Our expertise in AutoGen Studio, CrewAI, and Vertex AI Agent Builder allows us to create sophisticated, collaborative AI teams tailored to your unique challenges.
Many enterprises struggle to move their AI initiatives from experimental labs to full-scale production. The primary hurdles are a lack of scalable LLMOps infrastructure and the persistence of manual, siloed workflows. This operational friction leads to creative bottlenecks, delayed insights, and a failure to capitalize on the full potential of AI. Without a unified platform to manage, monitor, and govern AI models, businesses face significant compliance risks and an inability to adapt to market changes swiftly. These challenges prevent organizations from achieving the workforce transformation and predictive intelligence needed to maintain a competitive edge.
Viston solves these challenges with our “LLMOps in a Box”—a comprehensive, end-to-end platform for building, deploying, and managing Custom AI Agent Solutions at scale. We partner with Chief AI Officers, VPs of Digital Transformation, and Heads of Data Science across the USA, Europe, and Australia to deliver solutions that are not only powerful but also responsible and secure. By leveraging advanced frameworks like CrewAI and AutoGen Studio, we create task-focused agents that integrate seamlessly into your existing tech stack. Our commitment to Responsible AI at Scale means every solution includes robust governance and compliance guardrails, mitigating risk while maximizing performance. Let Viston transform your operations from manual and reactive to automated and predictive.
Background: A leading US-based financial services firm needed to accelerate its market research process. Analysts spent hundreds of hours per week manually gathering data from disparate sources.
Challenge: The manual process was slow, prone to human error, and unable to keep up with market volatility, leading to missed opportunities.
Solution: Viston deployed a team of autonomous financial research agents built with AutoGen Studio. One agent scanned news APIs and financial reports, another performed quantitative analysis, and a third generated concise, actionable summaries.
Results: The solution reduced research time by 92%, improved data accuracy by 45%, and enabled the firm to identify three major market trends ahead of competitors in the first quarter.
Testimonial: “Viston’s AI agents have transformed our research division. We now operate with a level of speed and precision that was previously unimaginable.” — Head of Analytics
Background: A major UK retail group sought to personalize its online shopping experience to combat declining customer loyalty.
Challenge: Their existing recommendation engine was generic and failed to capture the nuances of individual customer intent, resulting in low conversion rates.
Challenge: Viston developed and deployed personalized marketing agents using CrewAI. The agents analyzed real-time browsing behavior, historical purchase data, and even social media trends to create dynamic user profiles and deliver hyper-relevant product recommendations.
Solution: Within six months, the retailer saw a 35% increase in online conversion rates, a 25% increase in average order value, and a 40% reduction in cart abandonment.
Testimonial: “The level of personalization we can now achieve is phenomenal. Viston delivered a solution that drove real, measurable revenue growth.” — VP of Marketing
Background: A German automotive manufacturer wanted to implement predictive maintenance across its smart factories to reduce costly downtime.
Challenge: Unplanned equipment failures were disrupting production schedules and causing significant financial losses. Existing monitoring systems were reactive, not predictive.
Solution: We installed Edge AI agents on IoT devices across the factory floor. These agents used machine learning models to analyze sensor data (vibration, temperature) in real-time, predict equipment failures before they occurred, and automatically schedule maintenance tickets.
Results: The manufacturer achieved a 60% reduction in unplanned downtime, a 20% increase in overall equipment effectiveness (OEE), and saved over €15 million in the first year.
Testimonial: “Viston’s edge AI solution gave us the predictive intelligence we needed to finally optimize our factory operations. Their expertise in both AI and manufacturing is unmatched.” — Head of Digital Transformation
Background: A global healthcare provider based in Australia needed to ensure its AI-driven diagnostic tools were compliant with evolving data privacy regulations.
Challenge: The provider risked significant fines and reputational damage if their AI models mishandled sensitive patient data. They needed a way to enforce compliance at scale.
Solution: Viston integrated Responsible AI guardrails into their entire AI ecosystem. We deployed monitoring agents that continuously audited data access patterns, anonymized patient information before analysis, and generated compliance reports automatically.
Results: The solution ensured 100% compliance with regional health data regulations, passed all external audits, and increased patient trust. It also streamlined the approval process for new AI models.
Testimonial: “With Viston, we can innovate with confidence. Their Responsible AI framework is the gold standard for healthcare.” — Chief AI Officer
Background: A Nordic software company aimed to accelerate its development lifecycle by automating code generation and review.
Challenge: Manual coding and peer reviews were creating a bottleneck, slowing down product releases and diverting senior engineers from strategic tasks.
Solution: We created a collaborative team of AI agents using CrewAI. A “developer” agent wrote code based on natural language specifications, a “reviewer” agent checked for bugs and style violations, and a “tester” agent ran automated tests.
Results: The company reduced its development cycle time by 40%, decreased bugs in production by 65%, and freed up 30% of its senior engineering capacity to focus on innovation.
Testimonial: “The AI development team from Viston works 24/7. It’s the most significant productivity leap our engineering department has ever seen.” — CTO
Background: A CPG brand in France struggled with inaccurate demand forecasting, leading to stockouts of popular products and overstocking of others.
Challenge: Their forecasting models relied on historical sales data alone and failed to account for external factors like social media trends, competitor promotions, and local events.
Solution: Viston built a predictive intelligence agent that integrated internal sales data with external data streams. The agent used advanced time-series models to generate highly accurate, granular demand forecasts for each product category.
Results: The brand improved its forecast accuracy by over 50%, reduced stockouts by 80%, and decreased excess inventory costs by 30%.
Testimonial: “Viston’s predictive intelligence solution has given us a true competitive advantage. We can finally align our supply chain with real-time market demand.” — VP of Operations
Ready to transform your enterprise with intelligent automation? With over 15 years of expertise and a portfolio of 2,860+ successful client engagements across the USA, Europe, and Australia, Viston is your trusted partner for building, deploying, and scaling high-impact Custom AI Agent Solutions.
Partnering with Viston AI means tapping into a team of seasoned AI experts who accelerate your transformation and deliver custom solutions aligned with your strategic goals.
Together, we drive measurable business impact, ensure scalable, future-proof implementations, and mitigate risks to keep you ahead of the competition.
Charged based on actual usage, such as per request, per GB of bandwidth, or per page scraped, with no fixed commitment.
A one-time fee is charged for a specific project, regardless of volume or duration, based on scope and complexity.
Billed based on the time spent developing, running, or maintaining the scraper, often used for custom or consulting-heavy projects.
pay a recurring fee (monthly or annually) for access to scraping services, often tiered based on usage limits like the number of requests, pages scraped, or data points extracted.
Begin with comprehensive stakeholder engagement to understand business objectives, success metrics, and requirements. Conduct thorough analysis of existing workflows, data sources, and technical constraints. Establish clear project scope, timeline, and success criteria while ensuring alignment between AI strategy and business goals.
Collect, clean, and prepare high-quality data from all relevant sources. Perform exploratory data analysis (EDA) to uncover patterns and insights. Establish robust data pipelines, ensure data quality standards, and create the foundation for AI model training. This step prevents the "garbage in, garbage out" scenario.
Select appropriate AI models based on problem requirements and data characteristics. Develop, train, and fine-tune models using iterative approaches. Focus on achieving optimal balance between accuracy, interpretability, and performance. Implement version control and documentation for model assets.
Rigorously test models against unseen data and validate performance metrics. Conduct scenario testing, edge-case analysis, and A/B testing. Integrate the AI solution into existing IT infrastructure through APIs, containerization, or cloud deployment. Ensure security, scalability, and compliance requirements are met.
Deploy the validated AI solution into production environment with proper monitoring systems. Provide comprehensive training to end-users and IT staff. Implement authentication, security protocols, and compliance measures. Focus on smooth integration with business workflows and user adoption.
Establish ongoing monitoring systems to track model performance, business impact, and user feedback. Implement continuous learning loops for model improvement. Regular assessment of KPIs, retraining schedules, and adaptation to changing business needs. Ensure long-term value delivery and system reliability.
Custom AI Agent Solutions are advanced AI systems designed to perform complex, multi-step tasks autonomously. Unlike simple chatbots or automation scripts, these agents can reason, plan, and use tools (like APIs or databases) to achieve specific goals. At Viston, we build these agents using frameworks like AutoGen Studio and CrewAI to function as intelligent, automated members of your workforce, capable of handling everything from financial analysis to supply chain management.
We embed security and compliance into the core of every agent we build. Our “Responsible AI at Scale” framework includes built-in guardrails for data privacy, ethical decision-making, and regulatory adherence. Agents are designed to comply with standards like GDPR, HIPAA, and CCPA. We use techniques like data anonymization, access controls, and continuous monitoring to ensure your automated processes are secure and auditable, especially for clients in the USA, UK, and Germany.
Absolutely. Integration is a core part of our service. We design agents to be “tool-aware,” meaning they can interact with your existing enterprise systems via APIs. Whether it’s pulling data from a Salesforce CRM, updating records in a SAP ERP, or querying a proprietary database, our agents can connect to the tools your business already relies on, ensuring seamless workflow automation without costly system overhauls.
While ROI varies by use case, our clients typically see significant returns driven by three key areas: cost reduction, productivity gains, and revenue growth. By automating manual tasks, you reduce labor costs and eliminate errors. By accelerating processes like research or content creation, you boost productivity. And by uncovering predictive insights, you can capitalize on new revenue opportunities. Most of our enterprise clients achieve a positive ROI within 6 to 9 months of deployment.
Viston’s key differentiator is our “LLMOps in a Box” approach. We provide a true end-to-end service—from strategic design to scalable deployment and ongoing governance. While others may offer standalone models, we deliver fully managed, task-focused agent teams. Our deep expertise in advanced frameworks like AutoGen and CrewAI, combined with over 15 years of enterprise experience, allows us to build solutions that are more powerful, reliable, and tailored to your specific business needs.
We have extensive experience across a range of industries, including Financial Services, Healthcare, Retail & CPG, Manufacturing, and Technology. Our solutions are designed to solve industry-specific challenges, such as automated compliance monitoring for banks in the USA, predictive maintenance for manufacturers in Germany, and personalized marketing for retailers in Australia. Our diverse expertise ensures we understand your unique operational landscape.
The timeline depends on the complexity of the task, but our agile methodology allows for rapid prototyping and deployment. A pilot project for a specific use case can often be launched in as little as 4-6 weeks. Our goal is to deliver value quickly. We start with a well-defined scope, build a minimum viable agent, and then iterate based on performance and feedback, ensuring the solution scales effectively across your organization.
AutoGen Studio and CrewAI are state-of-the-art frameworks for building multi-agent AI systems. Instead of a single AI model trying to do everything, these frameworks allow us to create a team of specialized agents that collaborate to solve a problem. For example, one agent might be a “planner,” another a “coder,” and a third a “critic.” This collaborative approach leads to more robust, accurate, and sophisticated outcomes than a single-agent system.
No, you do not. Viston can act as your complete, end-to-end AI partner. We work with clients across the spectrum of in-house expertise. For companies with established data science teams, we act as a strategic accelerator, providing the LLMOps infrastructure and advanced agent frameworks to scale their initiatives. For companies without a dedicated AI team, we provide the full suite of services, from strategy and development to deployment and management.
We establish clear key performance indicators (KPIs) at the start of every project. Performance is measured based on business outcomes, not just technical metrics. KPIs often include task completion rate, accuracy, speed, cost savings, and impact on revenue. Our LLMOps platform includes a continuous monitoring dashboard, allowing you to track agent performance in real-time and ensure the solution is consistently delivering on its promised value.
