Support-led SaaS
AI that drafts, humans that decide
AI triage and drafting workflows reduced repetitive tickets while keeping replies on-brand.
Human
Final approval
8 wks
Adoption window
Brand
Tone rules
Outcome focus
Fewer repeat tickets
Support time back for harder cases
01 — Context
Challenge
Support volume was dominated by the same questions. Drafting replies ate hours without improving quality.
02 — Method
Approach
We built AI triage and draft workflows with brand rules, escalation paths, and human review for edge cases.
03 — Results
Outcomes
- Common questions were answered faster with consistent tone
- Agents spent more time on complex accounts
- Guardrails kept automation from inventing policy
Measurement
Illustrative patterns from this engagement style
Repetitive tickets handled with AI assist
Illustrative share of common tickets where AI drafted the first reply under review.
- 10 W1
- 22 W2
- 38 W3
- 49 W4
- 61 W6
- 70 W8
Checkpoint values
Same series as bars — useful for scanning week-to-week movement.
Agent time allocation
More minutes on complex accounts, fewer on copy-paste replies.
Before
- Repeat FAQs55%
- Complex cases30%
- Account work15%
After we rebalance
- Repeat FAQs20%
- Complex cases50%
- Account work30%
Charts are illustrative patterns for how we sequence and measure work in this category. They are not audited financial results or guarantees.
Visuals
Project gallery
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