Support AI Skill
Agent Assistance
Provide real-time AI assistance to support agents including suggested responses, knowledge base articles, macros, and conversation summarization. Use when building agent copilot features, configuring response suggestions, implementing knowledge surface inte...
Agent Assistance & Copilot
Equip support agents with real-time AI-powered assistance including response suggestions, relevant knowledge articles, macro templates, and post-conversation summarization to reduce handle time and improve quality.
Workflow
Phase 1: Response Suggestion Engine
- Context analysis:
- Parse incoming customer message in real-time
- Extract: intent, product area, sentiment, urgency, keywords
- Review conversation history (last 10 messages) for context
- Check customer profile (tier, history, known issues)
- Response generation:
- Match against approved response library (5,000+ pre-approved templates)
- Generate AI-suggested response using fine-tuned LLM (constrained to brand voice)
- Rank suggestions by: relevance, approval rate, resolution likelihood
- Surface top 3 suggestions with confidence scores
- Presentation to agent:
- Inline suggestions within agent desktop (one-click insert)
- Highlight key information: resolution steps, policy references, empathy cues
- Allow agent to edit, accept, reject, or request alternative
- Track acceptance/rejection rate for model improvement
Phase 2: Knowledge Surface Integration
- Real-time article surfacing:
- As agent types or reads customer message, query knowledge base
- Rank articles by relevance to current conversation context
- Surface top 3 articles as clickable cards in agent sidebar
- Include article freshness score and last-reviewed date
- Internal wiki & playbook access:
- Surface internal SOPs, troubleshooting playbooks, escalation guides
- Contextual hints: "This matches known issue KB-4821 — follow playbook B"
- Quick-links to related tickets and resolved cases
- Policy & compliance checks:
- Flag responses that violate policy (refund limits, data sharing, SLA commitments)
- Require manager approval for policy exceptions
- Surface compliance reminders at point of action
Phase 3: Post-Conversation Summarization
- Auto-generated summary:
- Extract: issue description, root cause, resolution, next steps
- Generate concise summary (3-5 sentences)
- Extract key data points: order numbers, error codes, account IDs
- Tag with categories, resolution code, satisfaction indicator
- Knowledge gap detection:
- If agent created new solution not in KB, flag for article creation
- Suggest KB improvements based on conversation patterns
- Identify recurring issues missing documentation
- Quality scoring:
- Auto-score conversation against quality rubric (empathy, accuracy, completeness, speed)
- Flag conversations for QA review (low score, policy risk, negative sentiment)
- Generate coaching recommendations
Templates
Agent Copilot Dashboard Layout
AGENT COPILIT WORKSPACE — Ticket #48320
=========================================
CUSTOMER MESSAGE (received 2 min ago):
"I've been trying to export my quarterly report for 3 hours now.
Every time I click export, I get error code EXP-4042. This is
blocking my board meeting tomorrow morning. I need this resolved ASAP."
─────────────────────────────────────────
🤖 SUGGESTED RESPONSE (confidence: 87%):
"I understand how urgent this is with your board meeting tomorrow.
Let me get this resolved for you right away. Error EXP-4042 typically
occurs when the report includes data from a deprecated data source.
Could you share which report template you're using? In the meantime,
I can generate the export from our backend and have it in your
account within 10 minutes."
[✓ Accept] [✎ Edit] [↻ Alternative] [✗ Reject]
─────────────────────────────────────────
📚 RELEVANT KNOWLEDGE ARTICLES:
1. [KB-4821] EXP-4042: Deprecated Data Source in Report Templates
Relevance: 96% | Last updated: 3 days ago
Resolution: 89% success rate
2. [KB-3901] Backend Report Generation for Blocked Customers
Relevance: 82% | Last updated: 2 weeks ago
Resolution: 94% success rate
3. [SOP-112] VIP Customer Urgent Request Protocol
Relevance: 78% | Last updated: 1 month ago
Note: Enterprise tier customer — expedited handling required
─────────────────────────────────────────
⚠ POLICY ALERTS:
• Customer tier: Enterprise (response SLA: 4 hours)
• Promise constraint: Do not commit to <5 min resolution without manager approval
• Empathy score of customer message: HIGH frustration — acknowledge before troubleshooting
Post-Conversation Summary Template
CONVERSATION SUMMARY — Ticket #48320
=====================================
Generated: 2025-01-15 11:05 UTC | Handle Time: 14.2 minutes
ISSUE SUMMARY:
Customer unable to export quarterly report — receiving error EXP-4042.
Blocking board meeting preparation (urgent business impact).
Enterprise tier customer with Platinum contract.
ROOT CAUSE:
Report template "Q4 Executive Summary" references deprecated data
source "Legacy Analytics v2" which was sunset on 2024-12-01.
RESOLUTION:
Agent generated backend export of requested report. File delivered
to customer account within 8 minutes. Customer confirmed receipt
and file opens correctly.
NEXT STEPS:
None — issue resolved. Ticket ready for closure.
KEY DATA POINTS:
Customer: Acme Corp | Account ID: AC-10847
Report: Q4 Executive Summary (template ID: TMPL-0042)
Error: EXP-4042 | Backend export ID: BE-88291
CATEGORIZATION:
Primary: Technical Issue → Bug/Error
Resolution Code: Backend Workaround Applied
Satisfaction Indicator: Positive (customer thanked agent)
QUALITY SCORE: 87/100
Empathy: 9/10 | Accuracy: 10/10 | Completeness: 8/10
Speed: 8/10 | Policy Adherence: 9/10
Coaching note: Consider offering template migration proactively
KNOWLEDGE GAP FLAG:
Suggest creating KB article: "Migrating Reports from Legacy Analytics v2"
12 similar tickets in past 30 days — recurring issue without documented solution.
Integration Points
- Ticketing systems: Zendesk, Freshdesk, Intercom, Jira Service Desk
- Knowledge base: Confluence, Notion, Zendesk Guide, Document360
- LLM platforms: OpenAI GPT-4, Anthropic Claude, Google Gemini, custom fine-tuned models
- Agent desktop: Zendesk Agent Workspace, Front, HubSpot Service Hub
- Analytics: Internal dashboards (acceptance rates, handle time impact)
- QA systems: Maestra, Playwright, Quality Manager (quality scoring)
- CRM: Salesforce, HubSpot (customer context enrichment)
- Communication: Slack, Teams (agent notifications, escalation)
Edge Cases
| Scenario | Handling | |----------|----------| | Suggestion is inaccurate or harmful | Agent rejection logged; immediate model feedback; human review of rejected suggestions | | Customer message in unsupported language | Language detection → translate → suggest response in source language | | Policy-sensitive topic (refund, legal, security) | Restrict suggestions to approved templates only; no free-form AI generation | | Agent is a trainee (<30 days) | Surface more detailed suggestions with explanations; additional guidance | | Conversation context exceeds token limit | Truncate to last 20 messages; preserve key entities and resolution progress | | AI suggestion acceptance rate drops below 40% | Alert ML team; trigger model re-evaluation; fallback to template library | | Agent overrides suggestion with incorrect response | Policy check catches violations; post-call QA flag; coaching recommendation | | Multiple customers with same issue (bulk) | Detect pattern; suggest bulk-response macro; auto-generate KB article |
Output
Agent Productivity Impact Report
AGENT ASSISTANCE IMPACT — Monthly Report
=========================================
Period: January 2025 | Agents Active: 35
PRODUCTIVITY METRICS:
Average handle time: 12.8 min (↓ from 15.2 min — 15.8% improvement)
Suggestion acceptance rate: 67.3% (target: >60%)
First contact resolution: 74.1% (↑ from 68.5% — 5.6 pts improvement)
Tickets per agent/day: 42.3 (↑ from 37.1 — 14.0% improvement)
SUGGESTION PERFORMANCE BY CATEGORY:
Technical troubleshooting: 72.1% acceptance [███████████████░░░]
Billing questions: 78.4% acceptance [█████████████████░]
How-to / guidance: 81.2% acceptance [██████████████████]
Escalation handling: 45.6% acceptance [███████████░░░░░░░] (needs improvement)
Empathy / de-escalation: 63.8% acceptance [█████████████░░░░░]
QUALITY IMPACT:
QA score (with assistance): 86.4/100
QA score (without assistance): 81.2/100
Policy violation rate: 1.2% (↓ from 2.8%)
Customer CSAT: 4.3/5.0 (↑ from 4.1/5.0)
KNOWLEDGE GAPS IDENTIFIED:
23 recurring issues without KB articles
8 suggested new articles approved by content team
15 article updates recommended based on conversation patterns