AI-assisted loan review reduced processing time by 71%
We developed a document-intelligence system for a mid-size commercial lender, integrated directly into their existing underwriting workflow rather than deployed as a separate tool.
ATOMCE partners with enterprise organizations to design, build, and operate the software they run their business on — banking platforms, mobile apps, custom systems, and the data and cloud behind them.
From AI and data to strategy and sustainability — every discipline below is delivered by the same senior team, not routed through separate practices.
Data platforms, ML pipelines, and deployed AI systems built for regulated environments.
Learn more →Cloud strategy, migration, and native platform engineering across major providers.
Learn more →Zero-trust architecture, threat detection, and enterprise security operations.
Learn more →Connected products, smart factories, and engineering digitization at scale.
Learn more →Applied research in quantum, spatial computing, and next-generation platforms.
Learn more →Legacy modernization, platform consolidation, and IT operating model redesign.
Learn more →Enterprise strategy, portfolio prioritization, and transformation roadmaps.
Learn more →Financial transformation, regulatory compliance, and enterprise risk platforms.
Learn more →End-to-end supply chain visibility, planning, and intelligent fulfillment.
Learn more →Large-scale program delivery for infrastructure and capital-intensive initiatives.
Learn more →ESG reporting, decarbonization strategy, and sustainable operations.
Learn more →Workforce transformation, operating model design, and change enablement.
Learn more →Intelligent contact centers, service automation, and customer operations.
Learn more →Brand, experience design, and marketing transformation across channels.
Learn more →Revenue operations, commerce platforms, and B2B/B2C sales transformation.
Learn more →Ongoing operations, application management, and outcome-based service delivery.
Learn more →Most engagements begin with a focused working session to identify the highest-value entry point.
We avoid lengthy discovery phases and extended planning cycles. Our engagements move through short, decisive stages that deliver something functional early — then scale it deliberately.
Schedule a Working SessionDefine the target outcome, constraints, and success metrics.
Deliver a functional slice of the final system to real users.
Harden, integrate, and roll out — with your team embedded.
We remain accountable for outcomes, not just deliverables.
A selection of recent engagements. Client names are anonymized where required by confidentiality agreements.
We developed a document-intelligence system for a mid-size commercial lender, integrated directly into their existing underwriting workflow rather than deployed as a separate tool.
Incremental modernization for a national retailer: new services deployed alongside the existing monolith, with store-by-store cutover and zero service interruption.
A predictive model combined with a redesigned booking workflow for a regional provider network. The analytics were the straightforward part; the workflow redesign drove the results.
Every reference below is available on request. We don't publish testimonials we can't stand behind.
We focus on a defined set of sectors where we have proven depth, rather than offering surface-level coverage across all industries.
What we are learning as we build AI-native systems inside established enterprises.
The model is rarely the constraint. Workflow integration, data contracts, and organizational change are. Here is how we structure engagements accordingly.
Read article →Full-system migrations continue to fail. A structured approach to modernizing the monoliths that run your business without disrupting operations.
Read article →Most reinvention programs stall on funding. We examine three models that redirect existing spend rather than requiring incremental capital.
Read article →Enterprise software is often evaluated in the boardroom and used in the back office. Closing that gap is a design discipline, not a user-interface exercise.
Read article →A small senior team. No layers between you and the people doing the work.
Former enterprise architect with 18 years building systems for banks and insurers.
Leads engineering and applied AI. Previously built machine-learning platforms at scale.
Former consultant and operator. Translates business ambition into sequenced roadmaps.
Research-led product design for complex, regulated environments.
We are a small team of senior practitioners who prefer delivery over management. If that describes your approach, we would like to hear from you.
View Open Positions →Work from anywhere. We measure output, not hours online.
You will own a system in production within your first 90 days.
Conferences, courses, and publications — invest in what improves your work.
No layers of management. Everyone here contributes directly to the work.
If your question isn't covered here, please reach out directly.
Describe the outcome you need. We will outline the most direct path to achieving it.
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