Generative AI has dominated boardroom conversations since late 2022. But in 2025, the question has shifted from 'should we use AI?' to 'where is the actual return?' After deploying GenAI solutions across dozens of enterprises in East Africa and beyond, our team has developed a clear picture of what works — and what doesn't.
The use cases that consistently deliver measurable ROI fall into three categories: document intelligence, customer service automation, and internal knowledge management. Document intelligence — extracting structured data from contracts, invoices, reports, and regulatory filings — typically delivers 60-80% reduction in manual processing time with accuracy that matches or exceeds human review.
Customer service automation is the other high-performer. AI agents that handle Tier-1 support queries — password resets, account lookups, FAQs, status updates — can deflect 40-70% of incoming tickets. The critical success factor is building a robust fallback to human agents. The companies that fail here try to automate too much, too fast.
Internal knowledge management is the sleeper hit of 2025. RAG (Retrieval-Augmented Generation) systems that let employees query internal documentation, policies, and past projects have delivered remarkable productivity gains. One financial services client reported a 35% reduction in time spent searching for internal information.
The use cases that consistently disappoint are those that treat GenAI as a replacement for human judgment in high-stakes decisions. Credit approvals, legal interpretations, medical diagnoses — these are areas where AI should augment, not replace. The companies chasing fully autonomous decision-making in these domains are accumulating technical and regulatory risk.
Our advice to enterprise leaders: start with document-heavy, repetitive workflows where the accuracy bar is high but human oversight is still maintained. Build confidence, measure rigorously, and expand from there. The ROI is very real — but it requires disciplined implementation, not just technology adoption.
A technology specialist at Aqbal Technologies with deep expertise in enterprise digital transformation across East Africa and beyond.