AI SOLUTIONS

AI Solutions Designed for Real Business Operations

Artificial Intelligence can help organisations analyse information, automate repetitive tasks, improve digital experiences and support faster decision-making.

At Karyarthi, we provide AI solutions focused on practical business applications.

Our approach connects Artificial Intelligence with software development, automation, data and existing business systems.

AI STRATEGY

From Business Problem to AI Solution

The starting point for an AI project should be the business problem, not the technology.

Each use case can require a different technical approach depending on the information, workflow, accuracy and integration requirements.

Before developing an AI solution, we consider:

Business process and expected outcome
Available data and information sources
Required level of accuracy
Human involvement and approvals
Systems requiring integration
Security and access requirements
Monitoring and maintenance needs
AI DEVELOPMENT

AI Development for Business Applications

AI capabilities can be integrated into websites, mobile applications, enterprise software and internal business systems.

Intelligent Assistants

Help users find information, answer questions and interact with approved business resources through natural language.

Document Intelligence

Extract information, classify documents and reduce repetitive data-handling tasks across documents such as invoices, contracts and forms.

AI-Powered Search

Use semantic understanding to identify relevant information based on the context of a user's request.

Generative AI Solutions

Support text generation, summaries, responses and other content based on controlled information and instructions.

GENERATIVE AI

Practical Generative AI Applications

Internal Knowledge Assistants

Help employees access approved internal information through natural language.

Customer Support Assistants

Support customer interactions using approved product or service information.

Document Summarisation

Help process and summarise relevant business documents.

Information Extraction

Extract relevant information from suitable business documents and data sources.

Business Question Answering

Provide answers using approved business information and defined application logic.

Automated Response Generation

Generate appropriate responses based on information and instructions provided to the system.

Content Assistance

Support selected content-related workflows through controlled AI capabilities.

AI-Enabled Features

Introduce AI capabilities into existing software products and digital platforms.

AI INTEGRATION

Connect AI With Existing Business Systems

Enterprise AI often needs to work with existing technology rather than operate as a standalone tool.

CRM systems
ERP platforms
Databases
Websites
Mobile applications
APIs
Cloud services
Custom software
Internal knowledge systems
AI ARCHITECTURE

A Structured AI Application Flow

A typical architecture can connect the user interface with AI services, business logic and approved data sources.

01

User

The user interacts with the required business application or digital interface.

02

Application

The application receives and manages the relevant request.

03

AI Service

The required AI capability processes the request according to the application design.

04

Business Logic

Application rules determine how AI capabilities should operate within the business workflow.

05

Approved Data Sources

AI can access relevant approved information according to permissions and requirements.

06

Response

The resulting information is returned through the required application workflow.

AI + DATA

AI, Data & Analytics

AI performance depends heavily on the quality and availability of the information used by the system.

Karyarthi also works across data analytics, reporting, dashboards and technology consulting to support AI projects where data preparation and integration are required.

Data collection
Data cleaning
Data organisation
Data validation
Data transformation
Database integration
Access controls
Analytics and reporting
AI IMPLEMENTATION

A Practical AI Implementation Process

01

Business Assessment

Identify the business process, users, available information and expected outcome.

02

Use Case Selection

Evaluate potential AI applications based on business value, feasibility and technical requirements.

03

Data Assessment

Review available data and determine how it can be accessed, processed and used.

04

Solution Architecture

Map AI components, applications, integrations, databases and security requirements.

05

Development

Develop and integrate the selected AI capability into the required software or workflow.

06

Testing

Test expected use cases, edge cases and application requirements.

07

Deployment & Monitoring

Introduce the AI feature into the required environment with appropriate access and monitoring controls.

08

Improvement

Review performance and user feedback to identify areas for refinement.

AI ACROSS INDUSTRIES

AI Solutions for Different Industries

Healthcare

Information workflows and administrative processes, subject to applicable requirements and human oversight.

Finance

Document processing, customer interactions and selected internal workflows.

Retail & Ecommerce

Product discovery, recommendations and customer service.

Manufacturing

Operational data analysis, automation and process support.

Education

Learning platforms, information access and administrative workflows.

Logistics

Workflow support, information processing and operational data applications.

AI SCALABILITY

AI Integration & Scalability

AI solutions should be designed to work with a business as its requirements change.

Karyarthi can structure AI-enabled applications with suitable APIs, databases, business logic and access controls so new features can be added when required.

Expand existing AI assistants
Connect additional data sources
Add AI to another application area
Use suitable APIs and databases
Maintain access controls
WHY KARYARTHI

Connecting AI With Business Technology

AI implementation often involves much more than selecting an AI model.

Business Requirement

Start with the actual business requirement and expected outcome.

Data

Consider available information, preparation, access and quality.

Architecture

Map applications, integrations, databases and AI components.

Security

Design data access, permissions and security requirements around the use case.

FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions

Karyarthi provides AI solutions for business automation, intelligent applications and AI-enabled workflows.

Yes. AI can be integrated with websites, applications, APIs, databases and selected business systems.

No. Data requirements depend on the use case, technology and implementation approach.

AI can automate selected workflow stages. The level depends on the process, data and required controls.

It depends on the use case. Human review can be important where decisions have significant business or operational consequences.

AI SOLUTIONS

Build AI Around Your Business Problem

If your business has a repetitive process, large information base or software workflow that could benefit from intelligent technology, Karyarthi can help evaluate the opportunity and define a practical technical direction.

Discuss Your AI Use Case