What Deloitte gets wrong in Financial Services
Deloitte's fintech practice is large and well-staffed. It is also structurally misaligned with what fintechs actually need. A $5M Deloitte technology strategy engagement is approximately the right size for a Series D fintech's annual technology budget. Deloitte's minimum engagement economics require a client that can absorb that level of spend, which means their fintech practice is oriented toward the largest and most mature fintechs — the ones that have already solved the problems that matter most.
AML/KYC compliance architecture is where Deloitte's fintech practice creates the most expensive technical debt. A payment processing platform or lending product built with AML/KYC compliance treated as an audit layer — rather than as an architectural constraint — will require a fundamental re-architecture when FinCEN regulatory updates change the transaction monitoring requirements. Deloitte's model generates that re-architecture as a new engagement.
Fintech credit decisioning systems face explainability requirements under ECOA and emerging state AI bias regulations that Deloitte's AI governance practice documents but does not architect. A credit model that cannot explain individual decisions in terms that regulators and applicants can understand is a liability — and retrofitting explainability into a model that was not designed for it is significantly more expensive than building it in from the start.
What we deploy instead
Our fintech engineering teams build compliance into the product architecture from day one. AML transaction monitoring that is testable and auditable. Credit models with explainability built into the decisioning architecture. Payment processing with PCI scope designed to be minimal, not managed.
We ship at fintech cadence. Two-week sprints, production code at each milestone, regulatory compliance validated at every commit through ALICE.
SOC 2 and PCI DSS built into the architecture from day one — enforced automatically by ALICE at every commit.
Fixed-price engagements. Production system in 8-20 weeks. No discovery phase. No change orders.
Domain-qualified engineers with financial services experience. The senior engineer who scopes the engagement is the senior engineer who delivers it.
Full source code and documentation transferred at close. No licensing. No managed services dependency.
The compliance difference
AML/KYC, PCI DSS, ECOA fair lending, CCPA/GDPR, SOC 2. Fintech compliance moves faster than a consulting engagement model. We build systems that stay compliant as regulations evolve.
What switching from Deloitte looks like
Fintech technology engagement: 10-18 weeks. Team: 8-14 engineers with fintech regulatory experience. Fixed price. Full IP transfer.
Architecture review and scope definition. We review existing deliverables and identify gaps.
Scope locked, team assembled, first sprint underway. Working code from week two.
First production milestone — a working integration or system component, not a document.
Full IP transfer. Source code, documentation, operational runbooks. Your team runs the system.
Failed Vendor Recovery Playbook
Step-by-step framework for recovering from a failed Deloitte engagement — from emergency stabilisation through full re-platforming. 4-phase playbook covering stabilise, assess, transition, and normalise.