PROPOSALwith-mcp
Automating customer support with AI
A proposal for faster, more consistent answers
Prepared for Acme Corp.
November 2026
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Chapter 1with-mcp
Where support stands today
What is actually happening in the inbox
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Current challengeswith-mcp
- 70% of tickets repeat the same questions
- Average time to first answer is 2 business days
- Quality depends on who happens to pick up the ticket
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Our approachwith-mcp
01
Instant answers to FAQs
AI learns from past replies and answers on the spot
02
Hand-off to people
Only complex cases reach a human agent
03
Measure and improve
Collect ratings and review them every month
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Expected impactwith-mcp
Tickets answered automatically
70%
Time to first answer
Instant
Tickets per agent
3.2x
| Metric | Today | After |
|---|---|---|
| Time to first answer | 2 business days | Instant for routine questions |
| Handling time per ticket | 12 min | 2 min (review the AI draft) |
| Consistency | Varies by agent | Same question, same answer |
Sample: fictional company and figures
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Rollout in three stepswith-mcp
STEP 1
Organize past tickets
- Collect one year of tickets and replies
- Group them by topic
STEP 2
Pilot
- Run in one department for two months
- Verify answer accuracy
STEP 3
Roll out company-wide
- Extend to every department
- Train agents on the new flow
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Ticket volumewith-mcp
Tickets grow 20% a year and reach 1,800 a month in 2026
How to read it
- Growth comes from routine questions, 70% of the total
- Complex tickets grow only 10% a year
- Automating the routine frees agents for the complex
2026 estimate1,800 / month
Routine share70%
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Next stepswith-mcp
Let’s start with the numbers
This week
Share one year of ticket data with us
In two weeks
We return an estimate of automation rate and savings
Thank you for your consideration
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