BKN301 launches AI-native bank orchestrator for banks

BKN301 has launched its AI-native Orchestrator for banks, combining API management, data orchestration and AI infrastructure in a single governed architecture.

The launch comes as banks intensify efforts to embed artificial intelligence in everyday operations rather than keep it confined to limited trials. Recent moves by major lenders, including Lloyds and Santander, point to a broader shift towards hiring specialists and building internal AI systems.

BKN301 is positioning the Orchestrator as an infrastructure layer for regulated financial institutions seeking to modernise legacy technology while maintaining tighter control over data, governance and audit requirements. The platform is designed to sit beneath AI applications rather than operate only as a stand-alone model.

At the centre of the system is a proprietary large language model built for banking use cases, the company said. It can run on-premises, offline, and within a bank's own environment, an approach intended to address concerns about data sovereignty and reliance on external AI providers.

BKN301 argues that many banking AI projects struggle because they are layered onto fragmented technology estates with disconnected data sources and inconsistent controls. In its view, the main obstacle is less the quality of AI models than the data and systems around them.

Three layers

The Orchestrator brings together three elements that banks often manage separately: an API Gateway for connectivity across systems and third-party services, a Data Decoupling layer to standardise operational data, and an AI Infrastructure layer that embeds the company's banking-focused model.

The API layer is designed to connect core banking systems, payments, know-your-customer processes, anti-money-laundering checks, risk functions, and external services. The data layer is intended to normalise information from different systems, so AI tools work from a consistent source.

That matters in banking because operational data is often spread across multiple legacy platforms, product silos and compliance tools. If institutions cannot reconcile and govern that information, AI systems may produce outputs that are difficult to explain or audit in environments where regulators expect clear accountability.

Stiven Muccioli, Founder & Chief Executive Officer of BKN301, said the product is designed to address that structural problem.

"Banks are sitting on a fire hydrant of data - it pours from every direction, yet turning it into something actionable, governed, and safe to act on remains the hardest problem in the industry. The BKN301 Orchestrator is the answer: one foundation where data is standardised, AI runs inside the institution's own perimeter, and every team member works with the intelligence they need to operate at a level that was simply not possible before," Muccioli said.

Regulatory pressure

BKN301 linked demand for sovereign AI infrastructure to tighter European regulatory expectations around operational resilience, data handling and AI governance. Banks considering production use of AI are under pressure to show where sensitive information is stored, how it is processed and how automated outcomes can be monitored.

This has become a key issue for lenders seeking to use AI in areas such as credit assessment, know-your-customer checks, anti-money laundering, sanctions screening and regulatory reporting. These functions involve sensitive data and decisions with direct consequences for customers and compliance.

BKN301 said its approach is intended to let institutions keep both data and AI outputs within their own infrastructure. Banks retain ownership and control of their environments rather than relying on external model providers for critical workflows, it said.

Mahesh Paolini-Subramanya, Chief Technology Officer of BKN301, said the industry's difficulties often stem from architecture rather than ambition.

"Most AI projects in banking stall for two reasons: adding AI to an already fragmented environment with no shared foundation or governance only makes the problem worse, and regulatory concerns over data privacy and sovereign infrastructure quickly become impossible to navigate. The BKN301 Orchestrator addresses both at the architecture level - a data platform built specifically for financial services, running on AI infrastructure the institution owns and controls. That is how you move from plans to production," Paolini-Subramanya said.

The launch underlines a growing split in the financial sector between experimenting with public AI tools and building internal systems that can operate within stricter governance boundaries. For banks, the debate is increasingly shifting away from whether AI is useful and towards whether the underlying technology stack can support it safely at scale.