Overview
AI Force is a GenAI and Agentic AI platform that automates and augments workflows across software and data engineering, IT operations and enterprise business processes to significantly improve and accelerate outcomes.
AI Force is powered by enterprise‑grade Responsible AI, auditability and contextual intelligence, bringing prompts, RAG, tools, autonomous agents, governance and multi‑LLM flexibility together in one place, enabling teams to build and deploy AI‑driven workflows quickly and safely.
Its unique ability to seamlessly integrate with the existing IT ecosystem, ready‑to‑use assets and flexible deployment options position AI Force as a non-disruptive force multiplier for enterprise evolution.
Impact Delivered
faster software development
quicker legacy application modernization
accelerated testing efficiency
quicker IT issue resolution
accelerated business process productivity
accelerated data lifecycle
Offerings
AI Force.Software
Accelerate delivery and modernization with intelligent automation across the software lifecycle to improve quality and reduce time to market.
AI Force.Ops
Move from reactive to resilient with automation and observability across cloud, workplace, network, security and AMS to improve performance and experience.
AI Force for SAP
De-risk SAP transformation with AI-powered automation and quality engineering to simplify migration, optimize operations and scale innovation.
AI Force.Data
Turn complex data into insight with autonomous engineering and resilient data operations to discover, trust and use data faster.
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Differentiators
It unifies data, models and workflows delivering secure, scalable and Agentic AI across the entire value chain.
It enables deployment of selected components without monolithic constraints.
It connects seamlessly with enterprise data sources to unify requirements, source code, test plans, API documentation and tickets.
Pre-built assets enable quick adoption, complemented by specialized modules like AI Force.Software, AI Force.Ops, AI Force.Data and AI Force for SAP, to streamline diverse enterprise workflows.
Build-your-own capability empowers enterprises to build custom use cases and AI agents, enabling tailored solutions for unique business needs.
It gives the flexibility to choose any commercial, open-source or proprietary LLMs, SLMs such as Gemini, LLaMA 2, Phi 3, OpenAI and AWS Bedrock Claude for powerful generative and predictive capabilities.
It can be deployed as a standalone, embedded, API-based and edge and runs anywhere: on-premises, public/private cloud or hybrid environments.
It aggregates enterprise data into a NoSQL/vector database with embeddings, powered by OpenSearch and leveraging Retrieval-Augmented Generation (RAG) to enable semantic understanding and build knowledge graphs.
It enables efficient model execution and resource utilization, ensuring high performance at lower operational expense.
Frequently Asked Questions
AI Force is a GenAI and Agentic AI platform that automates and augments workflows across software and data engineering, IT operations and enterprise business processes to significantly improve and accelerate outcomes.
AI Force doesn’t have its own model. It uses the widely available LLMs. It has already been integrated with Commercial LLMs like Azure Open AI, Google Gemini, Anthropic Claude on AWS Bedrock, Meta Llama 3, IBM Granite, Azure Open AI Whisper (Automatic Speech Recognition & Translation)
Open Source LLMs like Phi, Llama, Code Llama, Mistral for AI PCs, Inferencing for Hugging Face LLM
AI Force incorporates Responsible AI (RAI) and governance policies by focusing on responsible AI principles and security throughout its operations. It employs both input and output scanners to enable safe and ethical use of the platform. The input scanners check for Personally Identifiable Information (PII), sensitive topics, prompt injection attacks, toxicity and other risks. The output scanners monitor for bias, factual consistency, toxicity and malicious URLs and ensure that generated content adheres to responsible AI principles.
AI Force provides users with the convenience of two authentication methods:
Local User Management: Users can be directly managed within the AI Force itself.
LDAP Integration: For organizations with existing LDAP infrastructure, AI Force offers seamless integration, allowing users to authenticate using their corporate credentials.
AI Force's professional services team has expertise in integrating the platform with customer-specific LDAP environments, ensuring a smooth authentication process for users.
Multi tenancy is supported via the concept of projects. The project acts as a boundary of separation between all the entities. The organization and its divisions could use different projects to manage the separation of data.
AI Force is made up of the following components:
AI Force Platform
AI Force.Software | Transforming the end-to-end software development lifecycle through automation, intelligence and extensibilityPlay
AI Force.Ops | Transforming end‑to‑end IT operations through automation, intelligence and observability across hybrid cloud, digital workplace, network, cybersecurity and AMS
AI Force.Data | Turn complex data into insight with autonomous engineering and resilient data operations to discover, trust and use data faster
AI Force for SAP | Transforming SAP modernization and operations with AI‑driven automation, quality and BTP‑ready extensibility to accelerate migration and support
To reduce inference costs, AI Force employs multiple optimization techniques such as structured prompt frameworks (like CoT (Chain of Thought), ReAct (Reason + Act), DSPy etc), context trimming through efficient RAG pipelines, and configurable thresholds on output tokens using the Max Token setting.
AI Force is hosted within client-specific environments or devices, allowing clients to manage restrictions through their own network and policies. It uses SSL certificates (TLS 1.3) to encrypt data in transit, while data at rest is protected with inbuilt database security mechanisms and additional infrastructure layer safeguards.
AI Force has multiple deployment models, like,
- Stand-alone deployment: Deployed independently as a self-contained solution
- Embedded into users’ existing tools: Integrated directly into IDEs, Testing Tools, Browsers, Ticketing Systems, etc.
- Through APIs ("Headless" model): AI Force operates behind the scenes, providing functionality via APIs without direct user interaction
- On the edge via AI-powered PCs: Deployed on edge devices like AI-powered PCs, enabling localized processing
The partnership integrates OpenAI’s foundation models (e.g., ChatGPT Enterprise, OpenAI APIs) into AI Force to drive enterprise-scale GenAI transformation.
