Question 1

What AI consulting services does Fintechy offer?

Accepted Answer

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.

Question 2

What engagement models do you offer?

Accepted Answer

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.

Question 3

What technology stack does Fintechy use?

Accepted Answer

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.

Question 4

How do you handle security, compliance, and audit requirements?

Accepted Answer

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.

Question 5

Do you integrate with existing enterprise systems like NetSuite, SAP, and Salesforce?

Accepted Answer

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.

Question 6

Can you take our pilot to production?

Accepted Answer

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.

Question 7

Do you train our internal team?

Accepted Answer

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.

Question 8

What outcomes can we measure from an AI engagement?

Accepted Answer

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.

AI that ships.

What We Do

AI Strategy & Consulting

Agentic AI Systems

Enterprise AI Transformation

AI-Native Workflow Automation

AI Integration & MCP Architecture

Custom AI Development

Industries

Finance

Healthcare

Retail

SaaS

How We Work

Diagnose

Architect

Build

Scale

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Services FAQ

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