NetSuite
Agentic workflows inside NetSuite ERP: reconciliation, close, reporting, and finance operations that run where your books already live.
This is the software we build on and integrate with. Fintechy ships agentic AI that runs inside the enterprise platforms, clouds, and models you already operate, not a separate tool you have to adopt.
We build agentic workflows inside the systems that already run your finance, operations, and service functions, using the same permissions and controls your team relies on.
Agentic workflows inside NetSuite ERP: reconciliation, close, reporting, and finance operations that run where your books already live.
Agentic automation and MCP integration across S/4HANA, Ariba, and SuccessFactors, designed for the controls an SAP-run finance org already enforces.
Intelligent automation across Oracle Cloud ERP and Fusion applications, from procurement through record-to-report.
Custom AI agents for CRM, Service Cloud, and case workflows that act inside Salesforce rather than beside it.
Finance and HR copilots integrated with Workday, built for role-based access and audit.
Workflow agents on ServiceNow that triage, route, and resolve inside your existing ITSM and operations processes.
Agents deploy in your cloud account, under your security controls, with data-residency requirements honored from the design stage.
Production deployment on AWS with Bedrock and SageMaker, in your account and inside your existing guardrails.
GCP-native architectures using Vertex AI, Gemini, and BigQuery for data-heavy agentic systems.
Azure OpenAI, Cosmos DB, and enterprise integration for regulated industries with strict tenancy requirements.
We choose the model per workflow, based on accuracy, cost, and where the data is allowed to go, rather than standardizing on one provider.
Claude-powered agents and Model Context Protocol (MCP) implementations, the architecture most of our agentic systems are built around.
GPT-class model deployment and production applications, used where they're the right fit for the task.
Open-source and self-hosted model deployment for teams that need inference inside their own perimeter.
Fintechy doesn't hand you another dashboard to log into. We design agents that operate inside the systems above, through the same access rules, logging, and audit trails your team already trusts. Model Context Protocol (MCP) is how we connect reasoning to your tools without hard-coding brittle, one-off integrations, a piece of architecture most consultancies are not yet building.
Every engagement runs the same way: Diagnose the systems and data, Architect for your operational reality, Build production systems, and Scale the operations and governance around them.
The systems and data.
For your operational reality.
Production systems.
The operations and governance around them.
No. Fintechy builds agentic AI that runs inside the systems you already operate: NetSuite, SAP, Salesforce, and the rest. We redesign how the work gets done; we don't ask you to migrate off your stack.
It depends on the engagement. We build with Anthropic's Claude, OpenAI's GPT-class models, and open-source models via Hugging Face, and we select per workflow based on accuracy, cost, and data-handling requirements.
Yes. We deploy on AWS, GCP, and Azure, typically in your tenant, under your security controls, with data-residency requirements honored from the design stage.
MCP is a standard way to connect AI agents to real tools and data. We use it so agents act inside your systems through governed, auditable connections instead of brittle custom integrations.
Agents operate under role-based access for segregation of duties, with replayable audit trails and model-behavior logging. In healthcare environments we build HIPAA-ready architecture with PHI minimization and human escalation.
Fintechy builds on and integrates with each platform listed here. Where a formal partner or program status applies, we confirm it directly in the engagement.
Book a free assessment. We review your systems, find the highest-ROI use cases, and deliver a written roadmap.
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