Banking & Financial Services / 20+ Institutions

Decades of data. Dozens of systems.
Zero unified picture. We fix that.

20+
Financial Institutions Served
25
Years of Sector Presence
5,000+
Consultants Deployed
24
Targeted Use Cases 
Financial institutions today operate at the intersection of legacy complexity and transformational pressure. Aging core systems, siloed data architectures, and escalating regulatory obligations constrain the pace at which banks can innovate and serve their customers. Celsior brings together financial services engineering expertise, a proprietary AI-native modernization platform, and a nationwide specialist talent network to help institutions close the gap between where they are and where the market requires them to be.

Our Point of View

The forces reshaping banking and what they demand from technology partners

Celsior's banking practice is built on a set of closely held convictions about where the industry is heading. These views inform how we design programs, prioritize investments, and allocate specialist expertise across every engagement. 

01 / Core Modernization

Legacy modernization has moved from a deferred priority to a board-level imperative. 

The average U.S. bank runs 60 to 70 percent of its critical workloads on infrastructure that is more than 20 years old. What was once an acceptable operational risk has become a strategic liability. Institutions that continue to defer core system transformation beyond 2027 will face compounding maintenance costs, talent scarcity on legacy platforms, and regulatory exposure that outpaces any projected savings from delay.

Healthcare claims approval stamp and documents

02 / Data & AI

Data integration is the real AI problem and most institutions are solving the wrong one.

The conversation in financial services has shifted from whether to adopt AI to why AI investments are not producing results. In most cases, the constraint is not the model — it is the data. Fragmented source systems, inconsistent quality standards, and the absence of a unified data architecture prevent institutions from extracting value from AI at scale. The firms that will lead in AI are building their data foundations now, not after the model is selected.

Modern hospital facility and patient care

03 / Compliance 

Regulatory complexity is becoming a competitive differentiator, not just a compliance burden

Institutions that treat compliance as a constraint consistently underperform those that treat it as an engineered capability. Banks with automated, auditable compliance infrastructure close loan products faster, respond to regulatory change with less operational friction, and carry materially lower residual risk in their balance sheets. The investment in compliance-driven architecture pays forward across every product line it touches. 

Laboratory research and pharmaceutical data analysis

04 / Talent 

Talent scarcity is the most common and least acknowledged cause of program failure. 

Every banking transformation program has a technology plan. Fewer have a talent plan built around the specific platforms and legacy languages involved. The most frequent cause of program failure is not technology selection — it is the inability to staff certified engineers on niche financial systems in markets that cannot supply them. This is a sourcing and vetting problem that requires a national talent network with banking-specific assessment frameworks, not a general staffing engagement.

Laboratory research and pharmaceutical data analysis

Our Approach

What distinguishes Celsior as a banking technology partner

Celsior operates at the intersection of deep engineering execution and financial services domain expertise. We do not offer advisory services without delivery capability, nor do we staff programs without the contextual knowledge to make them succeed. Our model is designed to be the partner institutions turn to when the work is complex, the timeline is tight, and the consequences of failure are significant.

FOCUS AREAS — WHAT WE DO 

Five domains.
One integrated practice.

Our banking practice covers 24 targeted use cases across five priority domains identified by institutions as their highest-consequence modernization and transformation challenges. Engineering, talent, and platforms operate as a single engagement model — not as separate service lines. 

Core Banking & Legacy Modernization

Banks running AS/400, mainframe, and VB6 cores face compounding pressures: rising infrastructure costs, talent scarcity on legacy platforms, and business logic that no surviving team member can fully document. Our AI-First Digital Engineering Platform scans your entire codebase in 72 hours, maps every embedded business rule, and delivers a risk-weighted migration roadmap — giving institutions the clarity they need to act, before a dollar of development is committed.

Use cases: AS/400 to Cloud Migration · VB6 Codebase Archaeology · Tech Debt Quantification · Agentic API Modernization · Digital Onboarding Automation

Payments & Transaction Processing

Every delay in RTP and FedNow connectivity costs float and erodes customer trust. Manual regression testing of payment flows creates release bottlenecks and exposes institutions to production incidents with regulatory consequences. Our agentic integration layer connects your existing payments stack to RTP, FedNow, and 50+ fintech APIs in 8 weeks. AiDeviser compresses payment release cycles from three weeks to three days through autonomous test generation and execution.

Use cases: RTP & FedNow Integration · Agentic QA for Payment Flows · Fraud Detection & Anomaly Response · Payment Portal Modernization

Mortgage & Lending

The U.S. average mortgage underwriting cycle runs 23 days — a gap that consistently loses borrowers to faster lenders and places hard ceilings on loan volume per underwriter. AI-assisted underwriting agents read appraisals, income documents, and credit files in minutes, surfacing a decisioning summary that underwriters approve in hours. Compliance agents embed HMDA, RESPA, and TRID requirements into every origination step, eliminating post-close audit exposure.

Use cases: Underwriting Cycle Compression · Loan Closure Margin Expansion · Mortgage Prospect Intelligence · Compliance-Aware Origination · Portfolio Risk Analytics

Treasury, Escrow & Wholesale Banking

Treasury teams running liquidity forecasts across five Excel-fed systems hold intraday positions that are consistently hours stale. Escrow reconciliation is manual, exception-heavy, and a recurring source of regulatory audit findings. AI agents monitor intraday positions in real time, flag liquidity stress scenarios before they materialize, auto-generate LCR and NSFR reports, and auto-match escrow transactions with audit-ready output — reducing manual operations overhead by 70 percent.

Use cases: Cash Flow Forecasting · Escrow Reconciliation · LCR/NSFR Reporting · BI Modernization · FinOps Governance

Data, AI Ops & Infrastructure

Banking operations process thousands of PDFs, scanned forms, handwritten documents, and images daily. Manual data entry is slow, error-prone, and a primary driver of STP failures. Compliance teams spend significant hours searching policy documents and regulatory circulars for answers. Infrastructure downtime carries both regulatory and reputational consequences, with mean-time-to-resolve averaging 4 to 6 hours across the industry. Our multi-modal AI ingests structured and unstructured documents at 99%+ accuracy, agentic RAG delivers compliance answers in seconds with auditable source citations, and self-healing infrastructure resolves 60 percent of incidents before they generate a ticket or become a customer-visible outage.

Use cases: Agentic RAG for Compliance Q&A · Multi-Modal Document Ingestion · Self-Healing Infrastructure · AI-Powered Test Automation · Digital Asset Infrastructure

Risk & Compliance Analytics

Borrower risk data is distributed across origination platforms, servicing systems, and credit bureaus — producing no unified view without a multi-day data consolidation effort. Real-time fraud in ACH, wire, and card-not-present transactions demand sub-second detection that rules-based engines cannot deliver as attack patterns evolve. Our Financial Risk Profiler analyzes 300+ indicators with explainable AI output for regulatory compliance, while unified borrower intelligence layers enable portfolio stress testing and early warning signal detection in real time.

Use cases: FRP Risk Scoring · ACH/Wire Fraud Detection · Borrower Portfolio Intelligence · Regulatory Compliance Automation

Quality Engineering & Testing

Core banking release cycles are constrained by manual test coverage requirements that QA teams cannot keep current as applications evolve. AiDeviser generates intelligent test cases from code changes, executes them automatically, and produces a risk-scored release report — shifting your QA team from writing scripts to approving releases. Agentic API Testing generates complete suites from OpenAPI specifications with zero manual scripting and automatic synchronization on API change.

Use cases: Automated QA for Payment Flows · Core Banking Release Automation · Agentic API Testing · CI/CD Integration

CLIENT IMPACT

Delivered outcomes across the banking value chain

Healthcare IT requires domain knowledge that cannot be approximated. Celsior maintains a dedicated talent bench of over 1,000 active healthcare consultants across three specialty areas — clinical and nursing functions, R&D and engineering, and revenue cycle and business operations. Our Hire-Train-Deploy model continuously builds pre-credentialed specialists in the hardest-to-fill healthcare roles.

RETAIL BANKING / TECHNOLOGY MODERNIZATION

A leading U.S. bank accelerates its entire front-end migration to Angular — across multiple geographic locations, under a compressed two-month delivery window.

Celsior deployed its national talent network to identify and vet 90+ Angular engineers within a two-month window. Every candidate was assessed against a structured technical evaluation requiring a minimum score of 80 percent — ensuring that delivery velocity did not come at the cost of technical standards. Distributed team coordination was managed without loss of program coherence across multiple locations.

The program delivered significant time and cost savings relative to conventional alternatives and demonstrated sufficient value that it led directly to a larger follow-on engagement with the same institution — validating both the talent model and the delivery approach.

PROPRIETARY PLATFORMS

Technology built for the specific demands of regulated financial environments.

Our platforms were not adapted from general-purpose enterprise tools. Each was designed around the compliance requirements, data architectures, and performance constraints that are specific to financial services — reducing implementation risk and accelerating time to value on every engagement.

Platform 01
AI-First Digital
Engineering Platform

AI-native legacy codebase intelligence and migration orchestration. Converts undocumented AS/400, COBOL, VB6, and RPG banking systems into governed, development-ready artifacts. Dramatically reduces the discovery effort that stalls most modernization programs and generates compliance documentation as a natural output of the migration process itself.

2× Faster Discovery Air-Gapped Deploy Full Audit Trails
Platform 02
AiDeviser

Requirements-to-execution quality engineering platform. Links requirements, code, test cases, execution, and reporting into a single intelligent pipeline. Eliminates the test maintenance overhead that makes manual QA unsustainable in regulated environments while strengthening CI/CD quality gates and producing risk-scored release reports that give program leadership actionable visibility.

50–60% Faster Delivery 35–45% Cost Reduction 25–30% Fewer Defects
Platform 03
Agentic API Testing

Specification-to-CI/CD test automation with zero manual scripting. Autonomously generates, executes, and reports API test suites directly from Swagger and OpenAPI specifications, and maintains synchronization with API changes without human intervention. Designed for banking environments where APIs evolve continuously and testing backlogs accumulate faster than manual QA teams can service them.

Zero Scripting Auto-Sync on API Change CI/CD Native

ECOSYSTEM PARTNERS

AWS Microsoft Azure ServiceNow PEGA Jack Henry Google Cloud

THOUGHT LEADERSHIP

Perspectives from our banking practice

Research, analysis, and practitioner perspectives from teams that build and deliver inside financial services programs daily.

All insights
Celsior Banking Practice

The Core Modernization Dilemma

Why Phased Migration Outperforms Full Replacement in U.S. Banking Environments — Point of View | Core Modernization

6 min readRead more
Celsior Banking Practice

From Audit Trail to Asset

How Traceability-First Modernization Generates Lasting Regulatory Value — Research Note | Compliance & Risk

6 min readRead more
Celsior Engineering

Agentic Testing in Regulated Environments

What Changes When AI Writes and Executes the Tests — Technical Brief | Quality Engineering

6 min readRead more
Banking & Financial Services Practice

Let's discuss your program.

A 30-minute working session with our banking practice leads. We will assess your modernization or transformation challenge against programs we have delivered, identify where existing assets can accelerate your timeline, and give you a frank view of where the risk sits. No pitch deck required.