Synthesis Becomes Africa’s First Partner to Deploy Google Gemini Enterprise in Live Production
Digicloud Africa partner Synthesis has made history by becoming the first company across the entire African continent to deploy Google Gemini Enterprise in a fully live production environment — not just a trial or proof of concept. Adding to the milestone, Synthesis has already completed its second such deployment within a single month, signaling growing enterprise confidence in Google’s AI-powered agentic platform.
Gemini Enterprise, which made its debut last October, has been rapidly evolving. Just last month, Gemini 3.1 Pro was introduced and seamlessly integrated into the platform to handle complex, enterprise-grade reasoning tasks — making it an even more powerful tool for large organizations.
Nick Treurnicht, a Google-certified professional Workspace administrator and senior customer engineer at Digicloud Africa, confirmed the momentum behind these deployments. “Across the board from our partners, we are seeing tremendous volumes of inquiries,” he said. “There are a lot of discussions about proofs of concept, but Synthesis has been one of the partners to actually put this in production for customers who are practically using it and not just trialling it.”
How Synthesis Is Deploying Google Gemini Enterprise for Financial Sector Clients
Louis-Philip Shahim, Google Cloud practice lead at Synthesis, revealed that two financial sector clients — Lombard and Credeq — have already integrated Gemini Enterprise into their day-to-day operations. The use cases span cross-system search, productivity improvements, automated insights, and the enhancement of both new and existing applications.
Shahim emphasized that Google Cloud and Gemini Enterprise provide a secure, compliant foundation for even the most heavily regulated industries, including banking and insurance. The platform connects seamlessly to the entire Google ecosystem — Drive, Mail, Sites, Calendars, and Chat — as well as third-party tools, all underpinned by a unified and centralized data environment.
One concern often raised by security officers is data access — specifically, whether an AI tool might inadvertently expose sensitive files. Shahim addressed this directly. “Google is actually permission aware,” he explained. “When you set up these integration points, if you don’t have access to specific files or folders on SharePoint already, you’re not going to automatically gain access to that. It uses your identity, and you can only access what you already have permission to access.”
This permission-based architecture makes Gemini Enterprise not just powerful, but trustworthy for regulated environments where data governance is non-negotiable.
Unlocking Decades of Institutional Knowledge With a Single Query
Perhaps the most transformative aspect of these deployments is what Shahim describes as a “unified front door for AI in the workplace.” For organizations in finance and insurance — sectors notorious for legacy technology, fragmented tooling, and multiple data providers — this is a game-changer.
Rather than jumping between SharePoint, Outlook, Slack, and Google Drive to find a document, employees can now query all of these systems through a single, unified interface. “We’ve used Gemini Enterprise to link them all and give people a single source of truth,” Shahim said.
The impact is profound. One client’s Chief Technology Officer noted that this approach gives teams access to over 30 years of contextual information — decades of institutional knowledge that was previously siloed or buried. “It’s changed the way people work,” Shahim added.
Leandre Roux, cloud practice lead at Synthesis, reinforced this point by highlighting how data-rich organizations often fail to leverage what they already have. “They’ve got all that data sitting there gathering dust,” Roux said. “What they get with Gemini Enterprise is the ability to look at all of that information and go down a path of discovery quite easily. There’s no development required. The value is being able to take all the information gathered over the years and dynamically look at it.”
A Personal Assistant With Decades of Context
The practical, daily impact of Gemini Enterprise is equally compelling. Rather than toggling between four different applications to manage a workflow, employees can simply ask: “What are my priorities for today? Help me action this.” The AI synthesizes information from across all connected systems and delivers a clear, relevant response.
“It’s like you have your own personal assistant, your own knowledge base with all these years of context,” Shahim said. This shift isn’t just a productivity upgrade — it represents a fundamental change in how knowledge workers operate.
Roux added that the tooling built on top of Gemini Enterprise goes well beyond data visualization or reporting. “They are using it every day to simplify their jobs, and it’s been very successful,” he said. Teams are even being encouraged to enable Gemini meeting notes, which are fed into a centralized repository where anyone can search for summaries or relevant takeaways using their Gemini agents.
Treurnicht wrapped things up with a forward-looking perspective: “With Gemini, Google is continually making the AI more advanced and grounded, and improving the model’s environmental efficiency.” For African enterprises sitting on years of untapped data, the message from Synthesis and Digicloud Africa is clear — the future of AI-powered productivity is already here, and it’s running live in production.