Updated 1 week ago
financialLLM is a domain-focused AI assistant for payments, fraud, risk, and financial product design, built to run locally using Ollama.
It’s designed for:
🧠 Engineers & architects building payment gateways, wallets, and checkout flows
💼 Risk, compliance & fraud teams working on transaction monitoring and policy design
📊 FinTech product managers & founders exploring new financial products and flows
The goal is to provide a local, privacy-friendly copilot that understands:
💳 Payments & Checkout Design
* Explain how payment flows work (auth/capture, 3DS, redirects, webhooks).
* Help design new checkout experiences and integration paths for merchants.
🕵️ Fraud & Risk Reasoning
* Brainstorm risk rules, signals, and features for fraud detection models.
* Explain trade-offs between approval rate, chargebacks, and user friction.
📑 Compliance & Policy Drafting
* Draft policies, playbooks, and process docs for risk/compliance teams.
* Summarize regulations at a conceptual level (KYC/AML-style workflows).
📈 Product & Metrics Thinking
* Help define success metrics (conversion, uplift, loss rate, etc.).
* Suggest experiments or product changes to improve outcomes.
⚠️ Not legal or financial advice. Always validate outputs with your own legal, compliance, and finance experts.
Install via Ollama
ollama pull bharathreddyjanumpally/financialLLM
Run an interactive session:
ollama run bharathreddyjanumpally/financialLLM
Call it from your own tools:
curl http://localhost:11434/api/chat -d '{
"model": "bharathreddyjanumpally/financialLLM",
"messages": [
{ "role": "user", "content": "Design a risk-aware checkout flow for a digital goods marketplace." }
]
}'
You can embed something like this in your Modelfile or first message:
You are financialLLM, an AI assistant specialized in payments, financial products, fraud, and risk.
Your goals:
- Help design and reason about payment flows and checkout architectures.
- Help risk & fraud teams think about signals, rules, and model features.
- Help compliance and product teams draft policies, docs, and plans.
Constraints:
- Do NOT give personal investment advice or guarantee returns.
- Do NOT give legally binding compliance or regulatory advice.
- Focus on conceptual clarity, trade-offs, and practical best practices.
- When unsure, say so and explain what extra data or expertise is needed.
1. Payment Flow Design
I’m building a payment gateway for online merchants. Explain a typical card payment flow (auth, capture, settlement) and suggest an API design with key endpoints. Include how to handle retries, idempotency, and webhooks.
2. Fraud & Risk Brainstorm
_I run a marketplace for digital collectibles. List 15 potential fraud patterns and risk signals I should monitor, grouped by:
* user behavior
* device/network
* transaction patterns
* merchant behavior
For each, suggest how I might measure it._
3. Policy / Process Draft
Draft a “Transaction Review & Manual Approval” runbook for a small risk team. Include: triage steps, what data to check, when to approve/decline, and when to escalate.
4. Product Metrics & Experiments
We want to increase our checkout conversion rate without blowing up fraud losses. Propose a set of experiments and levers we can pull, and explain the key metrics and trade-offs for each.
Be specific about context. Mention whether you’re a PSP, marketplace, SaaS platform, or merchant.
Describe your constraints. Regions, payment methods, target customers, or compliance boundaries.
Ask for formats. For example: “Give me a table of risk signals and business impact” or “Summarize this in bullet points for leadership.”
📡 No live data access The model cannot see your production systems, bank accounts, or customer data. It only reasons over text you provide.
💰 Not investment advice It should not be used to pick stocks, crypto, or other investments.
⚖️ Not a substitute for lawyers or regulators Use it to draft and brainstorm, then confirm with legal/compliance professionals.