Techbanq highlights its Google Cloud work as it moves into agentic AI

Techbanq is highlighting its collaboration with Google Cloud as it develops agentic AI systems for business use. Ali Aarish, the company's chief executive, recently spoke at Google about that work and about a focus on AI agents designed to support operational workflows. The appearance was referenced in a post published by Techbanq on LinkedIn. What the post established, and what it did not, is worth stating before anything else. It described a direction of travel. It did not set out a formal partnership agreement, name any customer deployment, or attach a commercial result to the work. Everything below follows from that limit. Agentic AI, in the sense the company is using it, refers to systems designed to pursue a defined objective by interpreting information, selecting actions and completing several steps across connected applications. The distinction from a conventional chatbot is structural rather than cosmetic. A chatbot answers a prompt and stops. An agent is configured to carry a task through a sequence — customer service, sales follow-up, reporting, data analysis, operational monitoring — and to act inside the systems where that work actually happens. "Agentic AI represents a major shift from software that waits for instructions to systems that can actively help businesses achieve an outcome," Aarish said. "Our work with Google Cloud is helping us translate that potential into practical solutions that can be deployed securely and deliver measurable value." The company describes its approach as combining AI development, cloud infrastructure and enterprise integration, with solutions built around a client's existing workflows and data environment rather than sold as a fixed product. It has not published the number of deployments, any customer names, or measurable performance gains associated with that work. Google Cloud's part in this is the layer underneath: infrastructure and AI development tooling that a company can build and scale applications on. Techbanq's public materials do not specify which Google Cloud products are involved, the scope of the collaboration, or whether the relationship takes the form of a reseller, implementation or technology-partner arrangement. Those distinctions matter commercially — they determine who holds the customer contract and who carries delivery risk — and none of them has been stated. The positioning Techbanq has set out is that agentic AI should connect business systems, teams and data sources rather than sit beside them as a standalone assistant. That is the harder version of the problem and the more useful one if it works, because the value of an agent is bounded by what it can reach. It is also where deployments tend to stall: an agent that takes an action needs permissions, an audit trail, an error-handling path and somebody accountable when it acts wrongly, and those are integration and governance problems rather than model problems. The company has identified organisations with complex customer journeys, high volumes of operational information and repetitive cross-platform workflows as the likely users, and says such applications could reduce manual work and improve response times. It has not published independent evidence quantifying either. That gap is not unusual, and TechScoop's own reporting from LEAP 2026 puts it in context. Two studies presented at the same event found the same thing from different angles: Deloitte reported that most Middle East AI projects remain in pilot mode, and PwC found Saudi firms reporting gains in operating model ahead of financial returns. Agentic AI was the most common product framing on the LEAP floor this year. The scarce thing is not the pitch but the deployment that has been running long enough to be measured. That is the environment this collaboration enters. As buyers move from generative AI experimentation toward applications tied to specific operational objectives, the questions vendors face shift from capability to integration, reliability, data protection, governance and return on investment — and those are answered with reference customers rather than with architecture diagrams. Techbanq says it intends to continue developing agentic AI for businesses in Saudi Arabia, the wider Middle East and international markets. It has not announced launch dates, customer contracts or financial targets for that expansion. A named deployment with a stated scope would be the thing that turns this from a stated direction into a track record, and it is the reasonable thing to ask for next. Disclosure: Techbanq and TechScoop share common ownership. This article is based on material published by Techbanq and on its chief executive's remarks. TechScoop has not independently verified the company's claims about its technology, its collaboration with Google Cloud, or its commercial results.