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.

Organization
Fastagger
Location
Kenya
Published
November 2025

Reported outcomes

Strategic outcomes

New product / capabilityLaunched mobile AI business assistantCustomer experience & trustAutomated customer engagement and loyaltyScale & capacityServed over 2,500 MSMEs in KenyaMarket & geographic expansionExpanded from local to global business

Primary read

Use case focus

Showing 3 of 3

  • 1Mobile AI business assistant for SMBs in unreliable/bandwidth-limited environments
  • 2On-device AI for automating customer loyalty and engagement
  • 3Automated business intelligence for micro and small businesses
  • Unreliable internet and lack of digital infrastructure limit the benefits of cloud-based AI in Africa.
  • High cost and inaccessibility of 4G smartphones and traditional high-spec AI hardware.
  • Manual, paperwork-intensive processes make customer relationship management and business intelligence hard for SMBs.
  • Difficulty for small businesses to automate and track customer loyalty, engagement, and marketing.
  • Limited access to technical mentoring and business guidance among African startups.
  • Built a mobile AI business assistant running on affordable Android devices without requiring continuous internet connectivity.
  • Developed AUNI, embedded in Safaricom’s M-PESA app for 2,500+ MSMEs, to automate customer engagement and loyalty programs.
  • Leveraged Azure AI, Azure IoT, and GitHub for low-power, on-device machine learning and process automation.
  • Received technical and business mentorship from Microsoft Africa Transformation Office and resources from NVIDIA’s GenAI program.
  • Enabled SaaS AI assistant with low monthly cost ($1-5), providing actionable business intelligence even in low-resource environments.
  • Reduced manual customer engagement and payment reconciliation steps from eight to two.
  • Enhanced customer insights and targeted marketing for SMBs, improving retention and profitability.
  • Empowered over 2,500 SMBs in Kenya through the M-PESA Business App integration.
  • Expanded access for underserved populations to affordable, mobile-first AI solutions.
  • Grew Fastagger from a local to a global business as its solution became available via Azure.
Architecture

Fastagger’s infrastructure runs AI models on low-power Android devices, allowing offline processing and on-device customer engagement via the AUNI system. AI algorithms analyze customer profiles for targeted loyalty programs and rewards, with data and analytics dashboards available to merchants. Azure AI and Azure IoT power core algorithmic and device connectivity, GitHub supports code management, and cloud mentor resources enhance scalability. The system is embedded in the Safaricom M-PESA app, supported by NVIDIA’s GenAI program and globalized via Azure.

Implementation partners4
Sources & evidence1
Groundedness: 4/5

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Was this useful?