What are generative AI services?

Generative AI services include solution design, model integration, RAG implementation, fine-tuning, and deployment of AI systems for business use cases.

What does a generative AI company do?

A generative AI company builds and deploys AI-powered solutions such as chatbots, document automation tools, and intelligent assistants using large language models.

How do companies implement generative AI?

Companies implement generative AI by identifying use cases, preparing data, selecting models, integrating systems, and deploying AI workflows.

What is the process of generative AI adoption?

The process includes discovery, data preparation, model selection, development, deployment, and ongoing monitoring.

How long does it take to implement generative AI?

Implementation typically takes 2–8 weeks depending on complexity, data availability, and integration requirements.

What is RAG in generative AI?

RAG (Retrieval-Augmented Generation) is a method that combines large language models with external data sources to produce more accurate and up-to-date responses.

LLMOps is the practice of managing, deploying, monitoring, and optimizing large language models in production environments.

What models are used in generative AI solutions?

Common models include GPT, Claude, LLaMA, and other foundation models depending on the use case and infrastructure.

What are the main use cases of generative AI in business?

Key use cases include customer support automation, document processing, code generation, data analysis, and content creation.

How is generative AI used in enterprises?

Enterprises use generative AI to automate workflows, improve decision-making, enhance customer experience, and reduce operational costs.

Can generative AI automate business processes?

Yes, generative AI can automate tasks such as answering customer queries, summarizing documents, and generating reports.

Generative AI

Generative AI consulting is a service that helps businesses identify, implement, and scale AI systems that generate content, automate workflows, and improve decision-making using models like LLMs, RAG, and foundation models.

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What is generative AI?

What is generative AI consulting?
Generative AI consulting helps businesses design, implement, and scale AI systems that generate content, automate workflows, and improve decision-making.
What are generative AI services?
Generative AI services include solution design, model integration, RAG implementation, fine-tuning, and deployment of AI systems for business use cases.
What does a generative AI company do?
A generative AI company builds and deploys AI-powered solutions such as chatbots, document automation tools, and intelligent assistants using large language models.

Our Generative AI Offerings

Dedicatted is an AWS Premier Tier Partner specializing in cloud, DevOps, and Generative AI solutions for enterprise clients.

GenAI Discovery

Idea To Use Case: analysis and validation

Use cases and business priorities evaluation
Data quality and availability assessment
Architecture and integration design
Fast Proof of Concept validation

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GenAI Development

Validation to Production: accelerate time to market

MVP development
Solution engineering and deployment
Scaling and Integration
Training and adoption support

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GenAI Augmentation

Expertise to Execution: consulting and project support

Augmenting engineering expertise
Augmenting engineering capacity
Consulting on all stages of development
Solution audit and optimization

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How is generative AI implemented?

How do companies implement generative AI?
Companies implement generative AI by identifying use cases, preparing data, selecting models, integrating systems, and deploying AI workflows.
What is the process of generative AI adoption?
The process includes discovery, data preparation, model selection, development, deployment, and ongoing monitoring.
How long does it take to implement generative AI?
Implementation typically takes 2–8 weeks depending on complexity, data availability, and integration requirements.

What technologies power generative AI solutions?

What is RAG in generative AI?
RAG (Retrieval-Augmented Generation) is a method that combines large language models with external data sources to produce more accurate and up-to-date responses.
What is LLMOps?
LLMOps is the practice of managing, deploying, monitoring, and optimizing large language models in production environments.
What models are used in generative AI solutions?
Common models include GPT, Claude, LLaMA, and other foundation models depending on the use case and infrastructure.

Generative AI for your industry

Healthcare

Your staff is overloaded with paperwork, between HIPAA rules and endless charts. Give your staff a helping hand by using AI to automate prior authorizations, flag abnormal lab results, and create discharge summaries, which will free up a lot of their time so they can focus on patient care.

Need tools specifically designed for your needs? Train models on your EHR data to triage high-risk cases or manage drug inventory. All hosted on HIPAA-ready servers with 24/7 monitoring, because patients are more important than IT problems.

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Manufacturing

Tired of equipment failures? Generative AI can predict them before they happen. Train AI on your data to automate quality checks, reduce waste, and stay on schedule.

We connect AI to your sensors and systems, turning data into actionable insights. Focus on making great products, we’ll handle the tech stuff. No need for a PhD to get started!

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Financial

Fraud happens quickly. Your team can’t keep up. Our AI looks at transactions and finds suspicious activity without bothering your team with false positives. Automate your loan approvals, audit trails, and risk reports while following the rules.

Use your past transactions to teach our models to predict credit risks or create personalized client portfolios. We’ll keep your data safe on AWS/Azure, so you don’t have to worry.

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Retail

Tired of guessing what your customers want? Let AI do the hard work for you. By analyzing sales trends, weather patterns and what’s going on around the world, AI can predict demand with great accuracy. Automate your restocking process, send personalized promotions to your customers, and let your chatbots handle all the simple questions.

Connect AI to your POS and supplier systems to minimize your expenses and keep your shelves full. We’ll also make sure your system doesn’t crash on big shopping days like Black Friday.

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Insurance

Insurance processes can be slow and complex. AI helps streamline underwriting, claims processing, and customer service by automating repetitive tasks and improving decision-making. Free your team from paperwork so they can focus on serving clients.

Train AI on your historical data to assess risks, personalize policies, and optimize operations. All hosted on secure, industry-compliant cloud platforms, so you can focus on protection, not IT management.

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Supply Chain

Generative AI is transforming the supply chain industry by enhancing logistics, reducing inefficiencies, and improving demand forecasting.

Companies leveraging AI-driven solutions gain a competitive edge by optimizing inventory, reducing costs, and ensuring seamless supply chain operations.