Decide SaaS Service Credits Fairly

The problem

Manually reviewing SaaS service credit claims is slow, error-prone, and often leads to inconsistent financial concessions. Teams struggle to reconcile conflicting uptime data with complex, negotiated SLA terms while under pressure from customers.

What it does

• Analyzes customer claims against specific contract terms, order forms, and SLA policies.
• Reconciles vendor monitoring data with customer-provided evidence to verify performance breaches.
• Calculates precise credit amounts based on contract formulas, tiers, and maximum caps.
• Separates contractual entitlements from discretionary goodwill gestures to protect margins.
• Generates structured internal decision records and professional, ready-to-send customer responses.

Why this beats prompting it yourself

This skill enforces a rigid eligibility matrix and calculation logic that prevents common human errors like double-counting excluded downtime. It ensures every decision follows a standardized financial approval workflow and includes a corrective action plan, which a simple prompt would likely overlook.

Use cases

• Verifying if a specific outage triggered an SLA breach for a high-value enterprise account.
• Calculating partial credits when only a subset of services or regions experienced degraded performance.
• Evaluating late claim submissions or incidents caused by customer-side configuration errors.
• Drafting professional claim denials that cite specific exclusions without damaging the customer relationship.

Known limitations

Requires manual input of contract terms or evidence if not provided in the context. Does not provide legal advice or handle fraud/chargeback disputes.