How Fintechy engagements work, pricing, timelines, stack, and what you can expect.
Fintechy delivers six core services: AI Strategy & Consulting, Agentic AI Systems, Enterprise AI Transformation, AI-Native Workflow Automation, AI Integration & MCP Architecture, and Custom AI Development. Each service can run standalone or combine into a full transformation program.
We engage three ways: fixed-scope pilots (8-16 weeks, most common for first engagements), monthly retainers for ongoing delivery and platform operations, and embedded teams that pair Fintechy engineers with your internal team for knowledge transfer during larger programs.
TypeScript and Python backends, Next.js frontends, Postgres with pgvector or dedicated vector stores, Model Context Protocol (MCP) for integrations, and cloud-native infrastructure on AWS, GCP, or Azure. We work with Anthropic Claude, OpenAI, and self-hosted open models depending on workload and compliance needs.
Security is built in from day one: SOC 2 and SOX-aligned control documentation, HIPAA-ready architecture for healthcare, PCI-aware handling for retail, least-privilege tool access through MCP, full audit trails on every AI action, and model risk management frameworks that satisfy internal audit and external regulators.
Yes. We have direct integration experience with NetSuite, SAP S/4HANA, Oracle Fusion, Salesforce, Workday, and major EHR/EMR systems. Our MCP-based integration layer wraps these systems as typed tools that agents can call safely, no rip-and-replace required.
Absolutely, this is one of our most common engagements. Most enterprise AI pilots stall at the transition to production because of missing infrastructure (evals, observability, governance). We specialize in building that infrastructure and moving proven pilots into reliable production systems.
Yes. We can run workshops, pair with your engineers during delivery, and hand off systems with documentation and runbooks. Many clients use an initial engagement to upskill an internal AI platform team while delivering their first production capability.
We anchor every engagement to 2-4 business KPIs such as cycle time reduction, cost-to-serve, error rate, revenue conversion, or compliance metrics. These are defined at kickoff, tracked weekly during delivery, and published in an executive dashboard so progress is always visible.