Safaricom

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Safaricom has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Key partners include NVIDIA, Opportunity International.

Use Cases

2

Industries

2

Countries

1

Hyperscaler mix

See whether Safaricom's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Safaricom builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Use case portfolio

Use case types at Safaricom

Agronomic advisory leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.

Technology snapshot

What Safaricom uses across visible cases

AI Agents appears in 1 of 2 indexed cases; 5 named technologies are mentioned, led by Azure AI.

All Use Cases (2)

Microsoft

Fastagger empowers African SMBs with mobile AI assistant

Fastagger, an African deep-tech startup, has developed a mobile AI business assistant to empower small and medium businesses (SMBs) in Africa. Addressing the challenge of unreliable internet and limited digital infrastructure, Fastagger’s solution runs AI models efficiently on affordable smartphones without requiring a continuous connection. The AUNI system is embedded into Safaricom’s M-PESA Business App, supporting over 2,500 MSMEs in Kenya. This on-device agent enables customer engagement automation, loyalty management, and business coaching.The AI assistant reduces previously manual processes from eight steps to just two, driving operational efficiency and customer retention. Microsoft’s Africa Transformation Office and NVIDIA have supported Fastagger with mentorship and resources, accelerating the deployment of this mobile-based AI. Key partnerships and the integration with tools like Azure AI, Azure IoT, and GitHub enable robust on-device machine learning. Real-world results underscore substantial improvements in SMB engagement, financial tracking, and growth opportunities, enhancing digital access for underserved populations.By decentralizing access to AI, Fastagger brings business intelligence and automation to bandwidth-constrained and rural environments—making it easier for SMBs to track customer data, streamline marketing, and make data-driven decisions. The SaaS product costs just $1 to $5 per month, making advanced technologies affordable for local entrepreneurs.The project illustrates how Microsoft technologies and strategic partnership can close Africa’s digital divide, offering repeatable digital business models to other regions. Fastagger’s infrastructure is available globally via Azure, expanding its impact beyond Africa. Participant feedback validates the significant value of democratized, mobile-first AI for emerging markets.

Agent
Microsoft

Safaricom empowers Kenyan farmers with AI-driven digital advisory

Safaricom partnered with Opportunity International to develop FarmerAI, an AI-powered chatbot for smallholder farmers in Kenya's rural regions.This chatbot, designed with human-centered principles, leverages generative AI to provide localized advice on weather, pest management, fertilizer application, and market prices.Accessible via SMS and WhatsApp through Safaricom’s DigiFarm platform, FarmerAI eliminates the bottleneck of traditional field agent networks, enabling farmers to receive timely, actionable insights.The service began as a pilot during the potato crop cycle, enrolling up to 1,000 farmers and engaging with them to ensure solution responsiveness and usability.FarmerAI also helps farmers access digital financing services and strengthens economic resilience in remote communities.The solution supports increased crop yields, food security, and improved farmer incomes by bridging the digital divide.Collaboration between Safaricom and Opportunity International demonstrates the impact of technology in agriculture and underscores their commitment to equitable knowledge distribution for underserved populations.The project has received positive feedback for its accessibility and ongoing digital engagement with end-users.Results highlight increased access to actionable farming knowledge, empowerment of smallholder farmers, and strengthened rural digital connectivity.

Agriculture

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