Prevent financial miscalculations in quoting or billing agents
Tools that calculate prices, generate invoices, or apply discounts can hallucinate numbers or duplicate charges. Superagent tests these scenarios directly.
What's at stake
- Pricing and billing errors directly impact revenue and customer trust
- An agent that invents a 50% discount costs you money on every transaction
- Duplicate charges or incorrect totals trigger chargebacks and support tickets
- Financial miscalculations in quotes can commit you to unprofitable deals
- Enterprise customers audit AI-generated financial outputs during procurement
How to solve this
Agents that generate prices, quotes, or invoices must be numerically accurate. But LLMs are not calculators—they can hallucinate numbers, misapply discounts, or duplicate line items. The agent presents incorrect totals with the same confidence as accurate ones.
The challenge is that financial errors compound. An incorrect unit price multiplied by quantity, plus a misapplied discount, plus tax—each step can introduce errors that multiply into significant discrepancies.
The solution is to verify all financial outputs against your pricing rules and data. Every calculation should be reproducible using your actual pricing logic. Tests should exercise edge cases: large orders, stacked discounts, unusual quantities, currency conversions.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For financial accuracy, Superagent's Verify model validates pricing and billing outputs. Before a quote is sent or an invoice is generated, Verify checks the calculations against your pricing rules. Incorrect totals, misapplied discounts, and duplicate charges are caught before they reach customers.
Superagent's Adversarial Tests probe your billing agents with scenarios designed to trigger miscalculations:
- Edge cases in discount stacking
- Large quantities that stress calculation logic
- Currency and regional pricing variations
- Unusual product combinations
- Prompts that attempt to manipulate pricing
Tests identify failure modes before they impact customers. You see exactly which scenarios cause errors and can address them in your agent's design.