Case Studies

Orders were arriving across email, WhatsApp, and warehouse systems with no unified validation. iForAI deployed an AI layer that checks every order and payment in real time, catching errors before they cost margin.

Customers were sending quote requests via email, chat, and phone, and response times were painful. iForAI built a unified AI layer that captures, classifies, and responds across all channels in real time.

Investigating system failures was slow and manual. iForAI deployed an AI investigation agent that continuously monitors data pipelines, flags anomalies, and generates reports automatically.

High-volume RFPs were slowing down a food services distributor’s sales cycle.

A global emergency tech company was drowning in manual support workflows. iForAI deployed AI agents and automated data pipelines, turning reactive support into a scalable, insight-driven operation.

Hundreds of legacy COBOL applications needed migrating to Java with no reliable documentation and deeply implicated logic. iForAI deployed a generative-AI approach that maps real application behavior automatically, reducing migration time and cost without relying on rare COBOL talent.

Engineering capacity couldn’t keep up as product demand doubled. iForAI led a phased transformation across team structure, platform reliability, and AI tooling, turning the engineering org into a high-velocity, AI-ready platform team.

iForAI embedded blockchain and data science teams directly into product delivery, building the world’s first hybrid platform combining security tokens, fractionalized NFTs, and regulated crypto infrastructure.

Crypto transactions were required across VC, PE, and real estate deals, but there was no internal blockchain capability to build a compliant exchange. iForAI embedded a dedicated blockchain engineering team to build the full transaction and trading infrastructure for a regulated global private markets platform.

The CIO org needed more than new tools; it needed a new operating model. iForAI redesigned how people, processes, platforms, and policies work together to put AI at the center of IT decision-making.

Pockets of AI use existed at New Relic but nothing was coordinated. iForAI built the strategy, governance, and adoption framework that turned scattered pilots into a company-wide competitive advantage.

New Relic needed their whole team (engineers and non-technical staff alike) to actually use AI. iForAI ran a structured hackathon that turned skeptics into practitioners.

Amdocs’ HR leadership team was making a shift from traditional HR partnership to a more strategic, business-driven role in an AI-enabled environment. iForAI delivered a practical GenAI session that moved the conversation from theory to real business impact and left the team with a fundamentally different relationship with AI.

There is no reliable pipeline of engineers who can build real AI automation systems. iForAI designed a 3-week intensive program that transforms computer science students into production-ready AI automation engineers and doubles as a high-conversion hiring funnel.