Services
Five focus areas: AI/ML in banking, modernization, advisory and staffing, process automation, and discovery and strategy. Reduced risk, on time, on budget.
What we deliver
Banks, credit unions, and fintechs come to us when they need a partner who understands lending and technology—modernizing legacy systems, adding AI or ML, automating operations, or strategic advice and capacity. We organize our work into five focus areas; each has its own page with outcomes, who it is for, and how we work. We bring operator-level experience: we have built and operated systems that process loans and decisions in production. We align on outcomes and deliver in phases so you can commit incrementally.
AI and ML in banking
- Customer service automation (chatbots, personalization)
- Back-office ML (underwriting, operations)
- ML that ships in production
Modernization
- Legacy and homegrown system upgrades
- Digital transformation without full rip and replace
- API and integration strategy
Advisory and staffing
- Strategic advice and roadmap
- Embedded or dedicated technical capacity
- Fintech-savvy talent
Process automation
- Operations and workflow automation
- Compliance and reporting
- Internal process digitization
Discovery and strategy
- Problem validation and scope
- Build vs buy and architecture
- Discovery to delivery path
How we work
Discovery and strategy first, then scope and build. We align on outcomes and phases so you commit incrementally. We do not do open-ended engagements; we propose a clear scope, timeline, and investment level, and we deliver in phases with milestones. If you are not sure where to start, we can run a short discovery engagement to validate the problem and recommend an approach. If you already know what you need, we can propose a pilot or full build. Either way, we will be clear about what we can deliver and what we need from you.
We work with banks, credit unions, and fintechs in the US and globally. Our typical clients have a Director of Engineering, Head of Product, or CTO who owns the initiative and a budget in the range of $100K to $500K for the first phase. We are a good fit when you want a partner who has done this before and who will align on outcomes rather than just hours. If that sounds like you, book a discovery call—we’ll ask about your goals and constraints and recommend the right service and next step (often discovery first, sometimes a pilot or build).
Choosing the right service
If you are not sure which service fits your situation, start with discovery and strategy. A short discovery engagement helps you validate the problem, assess build vs buy vs partner, and get a recommended roadmap. From there we can propose a pilot (e.g. ML in underwriting, API prototype) or a full build in one of our other focus areas. Many clients begin with discovery and then move to AI and ML in banking or modernization once the scope is clear. Our discovery to delivery blog post explains how we de-risk the path from problem to production. Our engagement types page describes typical investment bands so you can plan.
We also publish blog content on lending technology, ML in underwriting, build vs buy, and how to choose a fintech partner. Those posts include internal links to our services and case studies so you can go deeper. If you prefer to talk first, contact us or book a discovery call—we’ll point you to the right service and next step for your goals and constraints.
