AI Force: Gen-AI Business Technology Solutions

Overview

AI Force is a patented GenAI platform that drives service transformation across the software engineering and IT operations lifecycle. By injecting intelligence into every facet of software development – from requirements gathering, software design to coding, testing, DevOps and even support and maintenance, AI Force delivers productivity gains, better quality, improved efficiencies and accelerated time-to-market.

It brings into focus the needs of every persona (e.g. product manager, software developer, tester and support specialist) and reimagines their daily routine by automating mundane and routine tasks. So you can continue to be a magician, developing products and applications that transform the world.

Solutions

AI Force Software and IT Ops

Through AI Force, HCLTech provides clients with a platform that supports the software development lifecycle, reducing the lift on manual tasks and quickening overall development time. Enhancing overall efficiency and accelerating technology value across an enterprise by reducing accrued technical debt and producing better quality code.

It focuses on the needs of every person (e.g. product manager, software developer, tester, DevOps engineer, Documentation writer, and support specialist). It reimagines their daily routine by automating mundane and routine tasks.

Fast Facts

35-50%

testing acceleration

50-60%

accelerated modernization

18-20%

reduction in mean time to resolve

Typical challenges

In the software development and operations lifecycle, various personas encounter distinct challenges. These challenges, highlighted in the video, underscore the need for seamless collaboration, unified tooling, and streamlined workflows to drive efficiency and innovation.

Features

Plays well with Large Language Models and now even with Small Language Models

Commercial (ex. Azure Open AI, Google Gemini, IBM Granite and Anthropic Claude) or open source (Phi, Llama).

Now even more ‘Responsible’

Incorporates input security scanners to check the input prompt to the LLMs and output security scanners that check the output generated.

Search & summarization capability

For rapid and efficient dissemination of knowledge across various project artifacts. Includes keyword, vector, hybrid and graph search capabilities.

Workspaces powered by Agentic workflows

Streamline and transform the entire software engineering process - from reviewing requirements to crafting a comprehensive development plan, coding, reviewing and effortlessly generating unit test cases to deployment-ready containers.

Speech recognition input capability

Product managers can now upload voice recordings of application requirements related content and AI Force will understand those and generate detailed features and user stories.

Enhanced ability to work with a wider ecosystem of industry applications

Integrated with ITOps (Agentic), a multi-agent system to skill and enable AI agents for IT Ops use cases, and LLM fine-tuning to streamline customization of different LLMs to suit a project’s unique requirements.

Third-party repository integration

Import project artifacts from various repositories - AzureDevOps (requirements, code, defect details, test cases/scripts etc.), Jira (requirements, test cases and defect details), SVN and GitHub (source code) and Bugzilla (defect details).

IDE extensions

Available as part of two different extensions for both VS Code and Eclipse IDEs.

BYOU! (Bring Your Own Use Case)

Simply fill in a pre-defined custom use case onboarding template and in a few steps your use case will show up within the catalog of use cases.

Differentiators

To sum, AI Force provides visibility into data streams and interdependence across software engineering and IT operations lifecycle, requiring minimal change management but no replacement of existing technology and greatly enhancing an enterprise’s existing IT environment. AI Force is a non-disruptive force multiplier of customer’s technology investments.

Digital thread across the software engineering and IT operations life cycle

Integrates with existing tools (not replace them) and brings datasets together, creates a knowledge graph of the relationships between the data sets, and conducts comprehensive root cause analysis

Mapped to multiple personas (Product owner, software engineer, QA engineer, DevOps engineer)

Address the challenge of technical debt by accelerating the modernizing and migration of legacy IT landscape leading to better quality code, documentation and cost-effective landscape

18 patents, Microservices enabled, Multimodal capabilities, Modular and scalable

Batch processing mode reduces strain on the underlying cognitive infrastructure leading to reduced energy consumption