Newgen Software, the provider of an AI‑first unified digital transformation platform, held an invitation‑only executive roundtable in Georgetown on March 10, 2026. The event, titled “The AI Decisioning Layer for Scaling Speed and Trust,” gathered senior executives from the country’s most influential banks and insurers at the Marriott hotel. Organisers framed the gathering as a peer‑led forum where C‑suite leaders could examine how a single, intelligence‑driven decision layer might reshape onboarding, credit approval, policy servicing and regulatory reporting across Guyana’s financial sector.
The timing of the discussion reflects a broader shift in the region. Customers increasingly demand instant, frictionless experiences, while regulators tighten requirements for transparency and auditability. In response, many institutions are looking to embed artificial intelligence not merely as an add‑on but as the core of every transaction. Newgen’s platform, which combines content, communication and data intelligence, was positioned as a practical way to meet those twin pressures of speed and accountability.
Why AI decisioning matters now
Financial service providers have traditionally relied on rule‑based engines that require manual updates and often produce opaque outcomes. The roundtable participants highlighted the drawbacks of such legacy approaches: prolonged credit cycles, limited visibility into portfolio health, and a higher likelihood of compliance missteps. By contrast, an AI decisioning layer can ingest structured and unstructured data, apply predictive models in real time, and generate explanations that satisfy both customers and regulators. The conversation underscored that the “trust” component is as critical as the “speed” component—trust that decisions are fair, auditable and aligned with policy.
Guyana’s push for a digital economy
Guyana’s government has recently articulated a vision of a “Digital Guyana,” a strategy that seeks to modernize public services, expand broadband access and encourage fintech innovation. A landmark development in that roadmap is the completion of the National Payments System (NPS), a centralized infrastructure that standardizes electronic transactions across the country. Roundtable speakers noted that the NPS provides a solid foundation for banks to roll out online account opening, digital loan origination and seamless electronic payments. The new payments architecture also promises to reduce settlement times and lower operational costs, creating a more fertile environment for AI‑driven services.
Roundtable participants voice concerns
Two senior executives from Guyana Bank for Trade and Industry (GBTI)—Randir Ramkissoon and Shawn Gurcharran—shared frontline observations about the challenges of digitizing legacy processes. They described bottlenecks in credit approval workflows, difficulties in maintaining consistent risk assessments across product lines, and the pressure to deliver a unified digital experience to both urban and rural customers. Their remarks reinforced a recurring theme: while the technology exists, the cultural and procedural shifts required to adopt it are still in early stages.
Manish Kumar Dugar, Newgen’s Head of Strategic Accounts for the region, summed up the sentiment of the gathering: “AI‑first decision intelligence isn’t just an aspiration, it’s a strategic imperative. Today’s financial leaders are navigating rising customer expectations and complex regulatory landscapes; at this roundtable, we collectively examined how smarter decisioning can drive speed, control, and trust simultaneously.” The quote, delivered verbatim, captured both the urgency and the collaborative spirit of the session.
Newgen’s platform under the microscope
Newgen’s offering was described as a unified layer that fuses three pillars of intelligence:
- Content Intelligence – the ability to extract meaning from documents, images and unstructured text, turning raw data into actionable insights.
- Communication Intelligence – tools that analyze interactions across channels (email, chat, voice) to gauge sentiment and intent.
- Data Intelligence – advanced analytics that blend internal and external data sets, enabling predictive scoring and risk modeling.
By integrating these capabilities, Newgen claims its platform can reduce decision latency, improve audit trails and provide regulators with the “traceability” they demand. The roundtable participants examined case studies that illustrated how the same architecture could be applied to loan underwriting, insurance policy issuance and even anti‑money‑laundering checks. While the discussion remained high‑level, the consensus was that a single decision layer simplifies governance and reduces the duplication of effort across disparate systems.
Implications for regional banks
For banks operating in a market as small yet rapidly evolving as Guyana, the potential upside of adopting an AI‑first decision layer is significant. Faster credit decisions can improve customer acquisition, while more transparent risk models help protect balance sheets during periods of economic volatility. Moreover, the ability to demonstrate regulator‑ready processes could become a competitive differentiator as the country’s financial oversight bodies tighten compliance expectations.
The roundtable also touched on the broader regional context. Neighboring Caribbean nations are grappling with similar pressures—digital inclusion, regulatory harmonization and the need to modernize legacy core banking systems. Newgen’s approach, which emphasizes a modular, API‑driven architecture, could appeal to banks looking to avoid costly, monolithic replacements. By positioning its platform as an add‑on that can sit atop existing infrastructures, Newgen may sidestep the “big‑bang” migration challenges that have hampered digital transformation projects elsewhere.
Balancing risk and reward
One of the more nuanced debates centered on the trade‑off between algorithmic efficiency and the risk of model bias. Participants acknowledged that AI models, while powerful, can inadvertently perpetuate existing inequities if trained on incomplete or skewed data. The roundtable stressed the importance of continuous monitoring, human‑in‑the‑loop oversight and robust governance frameworks to mitigate those risks. Newgen’s platform reportedly includes built‑in explainability features, allowing compliance officers to trace the rationale behind each automated decision—a capability that regulators are increasingly demanding.
The role of collaboration
Beyond the technical discussions, the event served as a networking platform. Attendees exchanged contact information, discussed potential pilot projects and identified common pain points that could be addressed collectively. The lunch and informal drinks that followed the formal agenda were described as “productive” by several participants, underscoring the value of peer learning in an industry that often operates in silos.
Looking ahead
Newgen signalled its intention to maintain an ongoing dialogue with Guyana’s financial community. Plans for future curated leadership forums were mentioned, with a focus on deep‑dive workshops that could test AI decisioning prototypes in live environments. Such follow‑up sessions could help translate the strategic concepts discussed at the roundtable into tangible implementations, offering a roadmap for banks that are ready to move beyond proof‑of‑concepts.
In sum, the Georgetown roundtable highlighted both the promise and the complexity of embedding AI at the heart of financial decision making. As Guyana pushes toward a fully digital economy, the ability to balance speed, trust and regulatory compliance will likely determine which institutions emerge as market leaders. Newgen’s AI‑first decision layer appears positioned to be a key piece of that puzzle, provided banks can navigate the cultural and governance challenges that accompany any major technological shift.
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