Modern Digital Bank: Cloud-native, AI-led engineering that modernizes around the core rather than replacing it, so high-change journeys can ship in sprints while the core stays live.
Real-Time Payments: FedNow and ISO 20022 readiness handled as an operating model, with the exception and fraud work behind the rail rebuilt to keep pace with the volume.
New-Age Banking & Embedded Finance: Open banking and embedded models with entitlements, consent, and audit logging built in, so the controls scale as fast as the partners do.
Agentic Banking Operations: Governed AI agents across onboarding, fraud, risk, and regulatory reporting, with audit trails and human review kept in the loop.
Resilient Banking: Observability tied to the bank's critical economic functions, with AI-assisted operations that catch incidents earlier and recover from them faster.
M&A Readiness: A repeatable integration playbook that retires duplicate systems and controls instead of running two of everything for years after a deal.
Usually not. A full core replacement is the most expensive and highest-risk path, and few banks that modernize well choose it. The more common route is to modernize around the core, moving the journeys that change often onto modern services while the core stays in place. Approaches like strangler patterns and API-first integration let a bank retire pieces gradually rather than in one cutover. The Modern Digital Bank pillar walks through how to sequence that.
It takes more than connecting to the rail. Real-time money movement also means real-time exceptions and real-time fraud, so the operations behind the rail have to keep pace. Most of the work is raising straight-through processing and rebuilding the exception and investigation workflows before volume climbs. The Real Time Payments pillar covers what to change and in what order.
The specific US rules on consumer data sharing have moved back and forth and may keep changing. The underlying direction has held for years. Customers expect to share their financial data with providers they authorize, and partners connect through standardized APIs. Building clean API connectivity and solid consent handling keeps its value no matter how a given rule is finalized. The New-Age Banking and Embedded Finance pillar shows how to keep those controls scaling as partners grow.
Treat any AI that makes or informs a decision as a model that has to be governed. Keep an audit trail of what it did, and keep a person in the loop on decisions that carry real risk. Customer data stays inside controlled handling. Long-standing model-risk expectations, such as the Fed's SR 11-7, already extend to AI systems, so the validation and documentation used for other models applies here too. The Agentic Banking Operations pillar covers where to start, from onboarding through fraud and reporting.
By tying the health of the technology to the services that cause real customer harm when they fail, such as payments and account access. That means identifying those critical functions and setting how much disruption each one can tolerate, then connecting monitoring directly to them so an incident is caught early. Faster detection and recovery protect the revenue that modernization is meant to grow. The Resilient Banking pillar goes into the observability and operating practices behind it.
Integration decides that more than the deal itself. When two sets of systems and controls keep running side by side, a merger can raise the cost base for years. Banks that handle it well treat integration as a repeatable engineering job, retiring duplicate systems early and harmonizing controls across both entities. Tying the rationalization to clear milestones is what gets the synergies to land on schedule. The M&A Readiness pillar lays out that playbook.
“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.
With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.
Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”
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