White-Glove AI Prompt Development & Rollout — Excite Labs
Phase 1: Discovery & Onboarding (Days 1–3)
Objectives: Understand client needs, tone, brand, and use cases.
- Initial Consultation Call
- Stakeholder alignment – define the true objectives of the ai tech support of customer support service
- Define target use cases (e.g. tech support, product FAQs, tier-1 triage)
- Gather existing materials: scripts, help docs, ticket history
- Interviewing the experts within your team
- Tone & Brand Calibration
- Understand brand voice (formal, friendly, technical, casual?)
- Define AI tone settings: empathetic, precise, minimalistic, etc.
- Security Review
- Confirm security, privacy, and compliance requirements (esp. if handling customer data)
- Define the security plan – what needs to be ‘kept dark’ from the Large Language Model and therefore the rest of the world…
Phase 2: Prompt Design & Iteration (Days 4–10)
Objectives: Craft, test, and refine high-quality base prompts.
- Prompt Drafting
- Excite Labs team create primary system prompts
- Build modular follow-up strategies (probing questions, clarification paths)
- Persona Simulation
- Use synthetic data or anonymized past tickets to simulate interactions
- Test for edge cases, hallucinations, tone mismatch
- Client Review Session
- Walk through sample conversations
- Gather feedback from actual support agents
- Tweak tone, coverage, escalation points
Phase 3: Soft Launch & Testing (Days 11–20)
Objectives: Pilot in a low-risk, controlled environment.
- Staging Environment Test
- Deploy into a sandbox version of client’s support interface
- Use real historical queries or “shadow mode” to test against live traffic
- Agent-in-the-Loop Setup
- AI suggests answers → human agent approves/edits → AI learns from feedback
- Start confidence tagging for escalation triggers
- Daily Check-ins / Reporting
- Brief async reports with top issues, missed intents, tone slips
Phase 4: Go Live (Day 21)
Objectives: Launch with limited scope, real feedback, and high observability.
- Limited Audience Rollout
- Roll out to 10–20% of incoming traffic or during non-peak hours
- Monitor fallback rates, time-to-resolution, hand-off rates to humans
- Training Client Teams
- Agent coaching: when to step in, how to tag bad responses
- Client dashboard walkthrough: metrics, transcript review, feedback loop
Phase 5: Feedback, Refinement, and Expansion (Days 22–30)
Objectives: Continuously improve, expand scope, solidify trust.
- Feedback Loop
- Analyze transcripts daily or bi-daily
- Tag & revise poor prompts, incorrect escalations, or misunderstood queries
- Client Debrief Calls (Weekly)
- Walk through learnings
- Confirm any revised goals or tone changes
- Identify new opportunities for automation (returns, cancellations, onboarding)
- Model/Prompt Updates
- Apply fine-tuning or memory-based learning (if used)
- Update prompt structure to cover more scenarios
- Full Rollout (End of Month)
- Increase traffic exposure (50%–100%)
- Set monthly optimization check-ins going forward
