Service Credit Evidence Packet

    by Mariusz Wrzeszczynski

    1

    Organize SLA terms, incidents, exclusions, monitoring, impact, invoices, credits, approvals, disputes, and closure evidence into a traceable packet.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Organize these records: SLA (99.9% target), a 120-minute outage report, a provider maintenance notice with 2 days lead time, and an invoice for $5,000. Identify gaps and build a source register.

    Your agent does

    1. Packet decision

    Decision: PARTIAL SERVICE-CREDIT EVIDENCE PACKET AVAILABLE. ...

    7. Gaps and conflicts

    • G1: Maintenance notice lead time (2 days) appears to conflict with standard 5-day requirements.
    • G2: Eligible fee base for the $5,000 invoice requires line-item mapping.

    What you get

    Reconcile conflicting outage timestamps between provider and customer logs.Identify missing maintenance notices that invalidate service exclusions.Bridge raw technical downtime to contractual credit tiers and fee bases.Prepare structured document requests for missing vendor evidence.

    About this skill

    The problem

    Organizing service-credit claims often fails because monitoring logs, incident tickets, and complex contracts live in silos. Manually reconciling conflicting timestamps and exclusion clauses across fragmented records leads to missed deadlines and inaccurate credit calculations.

    What it does

    • Builds a traceable source register for all contracts, monitoring exports, invoices, and incident records.
    • Constructs event chronologies that reconcile conflicting timestamps between provider logs and customer tickets.
    • Identifies gaps in maintenance notices, exclusion assertions, and eligible fee bases.
    • Generates bounded calculation scenarios for internal review without deciding legal entitlement.
    • Maps specific service-level targets to corresponding remedies, tiers, and credit caps.

    Frameworks & tools

    Works with local CSV, JSON, and text exports from monitoring systems, ticketing platforms, and ERP tools.

    Why this beats prompting it yourself

    General prompts often conflate internal SLOs with contractual SLAs or fail to separate technical restoration from ticket closure. This skill enforces a rigorous evidentiary structure that keeps technical, commercial, and legal categories distinct, preventing premature or unsupported conclusions.

    Use cases

    • Preparing internal evidence packets for a vendor management or procurement review.
    • Reconciling provider availability percentages against customer-side synthetic monitoring.
    • Auditing service-credit claim drafts against maintenance notice windows and exclusion clauses.
    • Mapping invoice line items to eligible recurring charge bases for credit tiering.

    Known limitations

    Does not access live monitoring, billing, or CRM systems. Does not provide legal interpretations, determine breach, or authorize payments.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Mariusz Wrzeszczynski
    Mariusz Wrzeszczynski

    109 skills on Agensi

    Frequently Asked Questions

    Popular in Workflow Automation