Applied AI

Generative AI Solutions

Turn generative AI into practical business solutions.

Goovia designs and builds secure generative AI solutions using Gemini and Google Cloud.

Circuit board representing the technical foundation of a generative AI solution
Generative AI built around real business needs
Business team working with information in a digital AI application
Work across content, data and knowledge
What are Generative AI Solutions?

Build AI applications around your business

Use Gemini and Google Cloud to create generative AI solutions that generate, summarise, analyse and transform information. See Official Google Cloud Generative AI page.

Ground AI with approved business data so responses are more relevant to your organisation.

A secure generative AI environment designed around your users, content and business goals.

Solution components

Production-Ready AI Solution Components

Five parts that help make generative AI solutions production-ready.

01Google Gemini multimodal models icon

Gemini Models

Use Google's multimodal Gemini models for text, documents, images and other content.

02Custom generative AI application icon

Custom Generative AI Applications

Build AI-powered tools and experiences around specific business requirements.

03Enterprise knowledge search and RAG icon

Enterprise Grounding and RAG

Connect approved company information so AI answers can use relevant business context.

04AI model selection and customisation icon

Model Selection and Customisation

Choose, test and configure the right model for the required use case.

05Generative AI security and evaluation icon

Security, Evaluation and Monitoring

Protect data, test output quality and monitor AI applications in production.

Choosing the right solution

What does your organisation need from generative AI?

We match generative AI solutions to your users, information and business goals.

01

What business problem should generative AI solve?

Start with a clear task, experience or outcome that needs improvement.

02

What type of content will the AI work with?

Identify text, documents, images, reports or other information involved.

03

What business knowledge should ground the AI?

Define the approved data and information sources needed for relevant answers.

04

Where will users access the AI solution?

Plan whether it will sit inside an application, website, internal tool or business system.

05

How will quality, security and usage be controlled?

Plan testing, permissions, data protection, monitoring and ongoing improvement.

Abstract connected AI network representing production generative AI systems
Core capabilities

Design, build and improve generative AI solutions

01

Design

Assess room size, layout and meeting needs before choosing equipment.

02

Build

Create the application, prompts, grounding and integrations on Google Cloud.

03

Improve

Evaluate output quality, monitor usage and refine the solution over time.

Everyday generative AI

Use generative AI solutions for practical business work

01

Summarise Documents and Information

Turn long documents, reports and business information into clear key points.

02

Generate Business Content

Create drafts, descriptions, reports and other content for employees or customers.

03

Ask Questions About Business Knowledge

Build AI experiences that answer questions using approved company information.

04

Extract and Understand Information

Use AI to understand and organise content from documents, text and images.

05

Build AI Features Into Applications

Add generative AI capabilities to websites, internal tools and business applications.

06

Create Multimodal AI Experiences

Build solutions that can work across text, documents, images and other content types.

Goovia services

Generative AI services from idea to production

01

Generative AI Use Case Assessment

Identify practical opportunities for generative AI solutions based on business needs, users and available information.

02

Solution Architecture and Model Selection

Choose the right Gemini model, application design and Google Cloud services.

03

Generative AI Application Development

Build custom AI applications and features around your requirements.

04

Enterprise Grounding and RAG

Connect approved business knowledge to improve the relevance of AI responses.

05

Integration, Security and Deployment

Connect business systems and deploy the solution with appropriate security controls.

06

Evaluation, Monitoring and Optimisation

Test response quality, monitor usage and improve the solution over time.

Abstract cloud network representing secure generative AI delivery
From solution design to secure production
Planning, development and long-term support

Turn Generative AI Into Business Value

Build generative AI solutions around your real needs. Tell us what you want generative AI to create, understand or improve. We will recommend the right Google Cloud approach.