MCP too many tools: how to curate a support server
MCP too many tools? Curate 5 to 12 task-shaped support actions, then measure tool-selection accuracy with a simple test set.
60 stories
MCP too many tools? Curate 5 to 12 task-shaped support actions, then measure tool-selection accuracy with a simple test set.
MCP security for support agents: per-action OAuth scopes, ticket text treated as data, rate limits and audit logs, with a threat table.
AI agent assist for live calls: how real-time copilots differ from bots, what research shows, and the privacy and EU rules to check.
A concrete weekly procedure for mining unanswered AI support questions into a product and docs roadmap, with exact steps a support lead can run.
How to build a support hiring plan when an AI agent deflects part of the queue. Worked headcount math for year one and maturity, with sources.
Support macros vs AI training data: a real refund macro shows exactly what belongs in an AI knowledge base and what breaks it.
Rolling out AI to your support team fails on trust, not model accuracy. A 60 day change management plan that keeps agents in control.
Customer support SLA with AI: why response-time clauses stop working and how to rewrite resolution, handoff, and reporting clauses.
Will AI replace customer service jobs? BLS, Gartner, and PwC data on which tasks go, which grow, and what the retrained role pays.
Twenty questions to send an AI support vendor before you sign, with the answer that should end a bad evaluation for each one.
GDPR and AI customer support explained: lawful basis, retention, subprocessors, and the right to erasure when data lives inside a retrieval index.
The audit trail fields, retention windows, and access controls that let you answer why an AI agent said what it said, months later.
What a support AI should remember across sessions, what it should forget on request, and why unlimited conversation memory is a privacy liability.
Chatbot fallback design for AI support agents: how to design the escalation path before the happy path, and why the fallback is the actual product.
A real customer support system prompt, annotated line by line, with the grounding, citation, and refusal rules that stop confident wrong answers.
CES predicts repurchase and churn better than CSAT for support interactions. Here is how to measure it, and where AI lowers or raises it.
Self-service rate explained: why an AI answer never counts as a doc view, and how to fix the metric before it hides real problems.
Customer support KPIs ranked by decision weight: four metrics that should change what you do next, and six that mostly decorate a dashboard.
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