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Infrastructure Study

Your Busiest Month Should Not Be Your Biggest Bill

Per-conversation pricing punishes exactly the businesses that need help most. A multi-location operation handling high contact volume pays more every single month as it grows, forever. A local build converts that into a one-time cost plus electricity, so the busiest month costs the same as the quietest one, and customer records never leave an environment you control.

10 min read/7 cited sources
Questions

Frequently asked questions.

Will this replace our support team?

No, and we would push back on a client who wanted it to. It absorbs the repetitive share of the queue, which in most operations is the majority of contacts and almost none of the value. Your people stay on the conversations that require judgment, an exception, or a human being.

Why does running it locally change the economics?

Because per-conversation pricing punishes exactly the businesses that need help most. A multi-location operation handling high contact volume pays more every single month as it grows, forever. A local build converts that into a one-time cost plus electricity.

How do you stop it from telling a customer something wrong?

It answers from your approved material only, and it cites what it used. Outside that material it hands off to a person rather than improvising. It also does not get authority to issue refunds, change orders, or make commitments unless you explicitly grant that.

Can it work across multiple locations with different rules?

Yes. Hours, pricing, policies, and staffing differ by site, and a single generic assistant gets them wrong immediately. The system is built with location-aware knowledge so the answer reflects the site the customer is actually asking about.

Sources

References and further reading.

  1. 01Intercom, Fin pricing (outcome-based billing per resolution)
  2. 02Zendesk, pricing and AI resolution billing
  3. 03Salesforce, Agentforce pricing
  4. 04AWS, Amazon Bedrock pricing (metered token model)
  5. 05MLCommons, MLPerf Inference: Edge benchmark results
  6. 06NIST, AI Risk Management Framework 1.0
  7. 07OWASP, Top 10 for Large Language Model Applications

This study is provided for general information and does not constitute legal advice. Consult qualified counsel about your specific circumstances.

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