Illuminating the next generation of enterprise innovation
There’s a spark that’s igniting the world through boundless innovation and endless discovery.
The spark? Generative AI.
The impact this technology is making on our lives, in how we work and carry out personal tasks, is undeniable. The time for organizations to act is right now because, according to our research, roughly 80% of workers and 93% of leaders are optimistic that AI will enable them to accomplish more tasks at work.1
But with the widespread power comes the need for responsible usage. According to Gartner®, “By 2026, 90% of organizations will suffer more than 10 production-impacting events annually due to insufficient GenAI skills and testing investments.”2
Helio offerings: Blueprints for your enterprise
To guide our clients on this genAI journey, we have structured our offerings around four key areas:
Consulting and advisory
- Accelerate ideation using our library of generative AI use cases for specific industries and functions, collect use case-specific data, and prioritize your use cases based on the most relevant parameters.
- Build an ROI model for generative AI investments using a tailored set of qualitative and quantitative parameters, incorporate use-case-specific cost models to make investment decisions
- Develop an implementation roadmap aligned with use case prioritization and other relevant business considerations
- Decide between centralized, federated, and hybrid operating models for generative AI competency development, governance, and implementation; accelerate the setup of the operating model using curated artifacts from our generative AI center of excellence
Discrete solution development
- Experimentation - Develop generative AI PoCs to validate the feasibility of your ideas, gain insights into your data, uncover new areas of effort toward productionization, improve the accuracy of your cost projections, and make informed decisions
- Productionization - Bridge the gap between experimentation and the real world by bringing your solutions to life in production. Engineer techniques that make your generative AI solution robust, reliable, and useful. Implement responsible AI safeguards, automated evaluations, and mechanisms to collect and process user feedback for continuous improvement.
- Data processing and platforms - Maximize the potential of your data to drive the most optimal experience for users of your generative AI solutions. Automatically analyze your content at scale using a variety of NLP techniques to understand coverage, quality, and richness. Automatically enrich your content with metadata that can help narrow it down to the most relevant content for sending to foundation models. Streamline content ingestion, processing, and delivery for generative AI applications using a platform approach that scales to multiple use cases.
Assurance
- Develop a tailored assurance approach based on the nature of the use case, the sensitivity of the data, the expectation of accuracy, and the specific generative AI solution technique in use, such as retrieval-augmented-generation
- Certify your generative AI applications for accuracy, reliability, and responsible AI guardrails using our comprehensive assurance framework. Automatically generate ground truths aligned to human evaluations, test LLM responses at scale, and provide feedback to solution teams using error-rate models that are tried and tested
- Monitor generative AI applications in production, including prompts, completions, human feedback, and other telemetry data to detect quality drifts and security risks using a combination of online and offline processing for a low latency experience
AI assisted engineering
- Enhance engineering productivity in specific project situations and project types by adapting our generative AI-powered SDLC accelerators for both greenfield and legacy modernization use cases. Analyze project approach, identify meaningful generative AI interventions, and interleave accelerators for various personas to maximize engineering productivity
- Develop tailored generative AI-powered accelerators for specific transformation use cases that are not serviced by existing tools in the market. Analyze project scope and scale along with the expected level of acceleration to define accelerator scope and commercial benefits
- Train your developers on popular third-party coding assistants using our partnerships with the corresponding provider
- Automate various aspects of support services, offering faster response times, personalized assistance, and efficient issue resolution with automated ticket triaging, automated response generation, and issue resolution assistance
How can Virtusa help?
Technology evolves rapidly. Virtusa will advise on new approaches, discuss possibilities, and help build generative AI solutions with increasing levels of sophistication. We will be fully transparent, drive even higher levels of engineering efficiency, and maintain strong governance through our implementation frameworks; that’s our genAI promise.
Our dedicated generative AI center of excellence (CoE) is the keystone to your success, with engineers trained in generative AI usage, real-world solutions developed, and continuous exploration of new models and techniques. Virtusa’s expertise spans industries and functional areas, and we are constantly investing in solution skills such as content analysis, model selection, prompt engineering, vector embedding, model evaluations, model training, fine-tuning, and more.
Our Engineering First approach empowers us to engineer better solutions.
Because everything we build, solve, and scale is powered by our engineering mindset.
Say goodbye to the past and say hello to Helio.
GenAI thought leadership
This collection of research and perspectives will help any enterprise with navigating genAI adoption.
GenAI discussion prompt cards
Stimulate discussion amongst teams and explore potential, challenges and implications of embracing genAI.
GenAI maturity index
Take this short quiz to benchmark your organization's proficiency and progress in leveraging generative AI technologies, and identify areas for maturity and innovation.
Recent generative AI success stories
REPORT
Embracing generative AI
A unique moment of workplace optimism
We are at a unique moment: Across generations, levels, and genders, workers and leaders are already using generative AI to unlock innovation and be more productive.