Service-as-Agentic AI
What we do
01
AI Strategy, Ideation and Roadmap:
Identifying use-cases based on core business needs
Work with enterprises to understand business goals and identify specific areas & use cases where Generative AI can deliver the most significant impact.
Align with customer’s core business objectives and develop a customized roadmap considering technical feasibility, resource allocation, and ROI expectations – prioritizing the use cases that have the highest potential for a measurable return on their investment.
02
Technology Selection and Guidance:
IT infrastructure assessment and guidance
Evaluate and recommend the necessary infrastructure, Generative AI foundation models, frameworks and tools to address the specific business use cases.
03
Data Engineering, Management:
Data collection, curation, labeling and preparation
Assist in gathering and organizing datasets for training generative AI models.
Cleanse and prepare the data for training, focusing on data accuracy and bias mitigation. If needed, help with labeling and annotating the data for supervised learning models.
04
Model Development and Training:
Selection, customization and fine tuning of models
Select and customize the Generative AI foundation models focusing on the use cases.
Perform fine-tuning and optimization of the models on enterprise-specific data to improve performance and reduce potential bias.
05
Deployment, System Integration:
Infrastructure setup, integration, security & governance
Assist with setting up the necessary IT infrastructure (cloud or on-premise) for deploying the Generative AI system.
Integrate the foundation models with existing enterprise applications and workflows. Implement the necessary security measures and governance frameworks for the safe, secure and responsible deployment of the AI system.
06
Performance Monitoring and Support:
Monitor, evaluate, support and optimize the AI systems
Provide monitoring, support, maintenance & performance optimization of the Generative AI systems.
Ensure that they meet the business objectives and the enterprises are getting the most value from the systems while maximizing the return on their investments.