Business case · Customer Support
Demo dataCustomer Service Automation
AI classification and drafted replies for 1,200 monthly enquiries, with human review.
Potential annual value
€64,915
Estimated
Opportunity score
94 / 100
Estimated payback
4.5 mo
Indicative
Status
Prioritised
Current state
- Enquiries per month
- 1,200
- Employees involved
- 8
- Hours/week per employee
- 6 h
- Loaded hourly cost
- €42
Proposed state
- 01Incoming enquiry
- 02AI classification
- 03Knowledge retrieval
- 04AI response draft
- 05Human reviewRequired
- 06CRM update
Economics (estimated)
- Current annual cost
- €92.7K
- Potential recoverable value
- €64.9K
- Implementation cost
- €22K
- Annual AI/tooling cost
- €6K
- Estimated net annual value
- €58.9K
- Estimated payback
- 4.5 months
- 3-year potential value
- €155K
- Hours recovered / year
- 1,546
Merjora Opportunity Score · 94 / 100
- Economic impact92
Recoverable value relative to company revenue and cost base.
- Automation potential88
Share of the process that is repetitive and rule-like.
- Implementation effort85
Higher = less effort. Based on integrations and change required.
- Data readiness78
Availability and quality of enquiry history and knowledge content.
- Business readiness89
Clear process owner, sponsor and measurable baseline.
- Risk91
Higher = lower risk. Human review keeps errors contained.
- Time-to-value94
Estimated weeks until the first measurable outcome.
- Strategic relevance89
Alignment with the stated priority: customer experience.
How is this calculated?
Each factor is scored 0–100 from assessment answers and the business-case assumptions. Effort and risk are inverted, so a higher number always means more favourable. The overall score is a weighted average, with economic impact, time-to-value and risk weighted most heavily. No score is produced by an unexplained model.
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