Solutions & Services
Where to start with GenAI? This is a question every organization has that wants to harness the power of GenAI. Our GenAI practice helps you build a roadmap and prioritize use cases without disrupting any existing business process.
- Readiness Assessment
- Baseline and evaluate your organization’s readiness for adopting Generative AI
- Use Case Development
- Identify potential use cases
- Prioritizing use cases based on your business needs and overall organization readiness
- Roadmap Development
- Develop a technology roadmap based on your organization’s readiness and prioritize use cases that include the total cost of ownership
- Build AI adoption roadmap
Given the diverse use cases of GenAI and many that involve an organization’s sensitive data including PII, adequate security and governance is a must to ensure only appropriate data is shared with LLM’s and GenAI application users. We help you define the security and governance model for your Gen AI initiatives.
- Secure Data and PII
- Identify data needs for GenAI use cases
- Define access level and recommendations to secure and mask PII data
- Prevent Loss of IP
- Identify use cases that may need access to the IP of an organization
- Recommend ways how to avoid core IP from being shared to closed LLMs
- Review data pipelines and potential RAG that feeds into the LLM and suggest best practices
- Track & Audit
- Developing tracking and audit plan to provide visibility into prompt, RAG, and the final results
- Recommending tools that can help in this process
AgenticAI are autonomous AI systems that can perform business functions of varied complexity with limited human supervision. It operates like a human employee that understands instructions, context, and reasons through tasks and subtasks, taking actions to achieve an appropriate goal. We help you automate business functions and train your team to use them.
- Pre-built Agents
- As accelerators for automating various business processes
- Integrating business systems
- Customized Agents
- Designing agents specific to your business use case based on Retrieval – Augment Generation (RAG)
- Building agents with adequate access control
- Training & Support
- Training your team for security & governance of the agents.
- Fine-tuning agents
- Support for maintenance and enhancements
Many organizations have a need for a large language model (LLM) that they have control over from a compliance perspective, fine-tune it based on their data, and prevent loss of intellectual property among other reasons. We can help you navigate the complexity of having your local LLM with the necessary security & governance.
- LLM Selection
- Identifying the right sized quantized licensed or open source LLM based on your use case, compliance, and budget requirements.
- LLM Setup
- Infrastructure sizing for LLM whether local or in the cloud
- Configuring environment including GPU-based where required, vector database, frameworks for Agent development, etc.
- Deploying LLM
- LLM Customization
- Fine-tuning LLM with your organization-specific data using feature extraction, supervised fine-tuning, and reinforced learning from human feedback (RLHF)
We leverage our global delivery centers to ensure you have the support for your LLM based initiatives when you need it the most!
- Supported LLMs
- gpt-3, gpt-3.5turbo, gpt-4, gpt-4o, gpt-4o-mini
- llama 2, llama 3 8b/70b, llama 3.1 8b/70b
- mistral 8x22B, mistral small, mistral 8x7B, mistral nemo, mistral 7B
- bert
- claude
- phi-3
GenAI Functional Use Cases
Customer Service
- Augment customer support with GenAI chatbots to respond to questions accurately in real time
- Increase customer support agent productivity by summarizing conversations
- Provide generative knowledge assistance to customers or support agents
- Personalize responses to a customer based on their data and previous interactions
GenAI Industry Use Cases
- Validation checks capabilities that utilize semantic search to check for trademarks and copyright
- Consumer analysis to produce specialized recommendations and discounts based on previous shopping patterns and overall consumer preferences
- Warehouse storage optimization to maximize space and facilitate efficient movement of goods
- Real-time and accurate replies to consumer questions and inquiries regarding order status, returns/exchanges, product availability, and more in a conversational manner
- Automate Request for Proposal (RFP) process to solicit bids from potential vendors for a project
- Generate project plans with details outlining each phase of projects, allocating for timeline, resources, site management, materials, and more to ensure the plan is executed smoothly and efficiently
- Evaluate project status which accounts for inventory levels, weather conditions, and overall progress to ensure that all aspects are on track and any potential issues are promptly addressed
- Contract automation that streamlines the creation, management, execution, and storage of contracts
- Risk management to assess safety protocols and precautions to account for potential hazards
- Machinery monitoring and management allows for the ability to assess machine life quality and length to be proactive about repairs and replacements
- Automate the scheduling process to ensure operational efficiency in usage of equipment, inventory, etc.
- From concept to finished product, streamline the planning, allocation, production of goods to be more accurate and timely
- Personalized treatment options such as medication recommendations or alternate healing approaches taking into account genetics, family and personal history, lifestyle, and more
- Medication and supplies demand forecasting for proactivity in patient treatment preparation
- Assessment and analysis to see trends regarding patient experience encompassing physical, emotional, and logistical factors and return rates to assess areas of improvement
- Translation services for international patients to ensure critical health information is clearly communicated
- Provide an online customer service resource to easily address issues and inquiries where timely replies can be catered to the customer’s language preferences
- Summarize guest interactions and feedback to assess areas of concern and vital company changes
- Automated customer outreach based on prior stay history
- Break down language barriers by incorporating content translation for menus, brochures, location, information, even real-time conversation
Why us?
Industry Experience
The right use case for GenAI needs deep industry knowledge. With more than a decade of experience helping Retail, eCommerce, Manufacturing, Construction, Hospitality, and Oil & Gas, we understand the associated business processes to identify and build the use cases for a successful outcome.
Pre-built Agents
Our pre-built self-learning multimodal agents provide a framework based on best practices and reduce your time to go live. These agents can augment various business functions related to customer service, marketing, human resources, supply chain, etc.
Higher ROI
Not just the initial implementation cost, our best practices consider the total cost of ownership, which includes model/llm cost, training cost, governance cost, high impact use cases cost, ongoing maintenance, and support cost, thereby ensuring a higher ROI for your GenAI investment.
Peace of Mind
GenAI can provide a distinctive advantage to your business, but outage to any Agentic or GenAI-based business process can significantly impact your operations. We leverage our global delivery centers to ensure you have 24×7 support when you need it the most!
Frequently Asked Questions
A large language model, or LLM, is a type of artificial intelligence (AI) that uses mathematical principles to understand the relationship between words and sentences. LLMs are trained on large amounts of data, to understand language patterns and context. It can predict what words might come next in a sentence based on the prior training data.
Generative AI or GenAI is a subset of AI that uses prompts to analyze data, detect patterns, and then create new or original content based on those patterns, like text, images, audio, videos, or computer code.
Prompt engineering is the process of writing, augmenting, and optimizing inputs and examples to help GenAI systems understand the intent, query, and respond with relevant, high-quality outputs.
Our GenAI services include assessment and roadmap development, defining security and governance models, building AI-based agents, developing custom AI models, training, and support.
Each implementation is unique depending on the specifics involved. We take into account your organization’s readiness, business needs, and use cases. Typically, a pilot project can take anywhere from 4 to 10 weeks.
Our GenAI team includes LLM subject matter experts and data scientists with experience in prompt engineering, solution architects, and data engineers.
GenAI is for every size of business. With a number of available LLMs licensed or open source and our prebuilt agents, you can leverage GenAI for your use case at a fraction of the cost.
GenAI can then help you perform tasks like summarizing, translating, writing, and answering questions. They can assist various business functions such as Customer Support, Marketing, Business Reports, Human Resources, Supply Chain, etc.
There is a use case for almost any industry, be it Manufacturing, Construction, Retail, eCommerce, Insurance, Healthcare, Hospitality, etc. If you have business functions related to customer support, marketing, sales, inventory, finance, and human resources, GenAI can help you augment and enhance those as well.
Agentic AI cuts down on the need for human interaction, allowing for rapid decision-making, continuous monitoring of tasks, and increased business productivity.