We build a copilot embedded in your support tools that drafts accurate, knowledge-grounded replies and summarises conversation context for the agent. It speeds up response times and raises quality consistency across channels. The agent remains in final control of every reply, combining AI speed with human judgement.
What's included
- Build a copilot embedded in your support tools that drafts accurate, knowledge-grounded replies for the agent.
- Understand customer intent, classify the query, and map it to the right answer or action.
- Ground suggested replies in documented sources and surface the source to the agent before sending.
- Summarise long conversation context live to speed agent comprehension at handover or escalation.
- Clear human-escalation paths when confidence falls below a threshold or the case is sensitive.
- Measure impact through metrics such as response time, self-service deflection, and cross-channel quality consistency.
Methodology & standards
Scoping: analyse ticket types, channels, existing support tools, knowledge sources, and success metrics.
Knowledge and intent preparation: connect the knowledge base, define common intents, and craft reply templates.
Build and integration: embed the copilot in the support tool with reply suggestion, summarisation, and escalation controls.
Pilot and tuning: run a pilot with the support team, measure accuracy and deflection, and tune confidence thresholds.
Rollout and improvement: phased launch with a metrics dashboard and a feedback loop for continuous improvement.
Deliverables
- A support copilot embedded in your tool that drafts replies and summarises conversations.
- A documented intent library and reply templates linked to the knowledge base.
- Human-escalation logic with tunable confidence thresholds.
- A performance dashboard covering response time, self-service deflection, and consistency.
- A pilot report with measured results before scaling.
- An operations guide and a feedback loop for continuous improvement.
Regulatory controls it satisfies
Typical timeline
A pilot typically begins in three to five weeks, followed by a phased rollout guided by the measured results.
Common questions
Will the copilot replace our support agents?
No. The copilot assists rather than replaces: it suggests, summarises, and accelerates, while the agent stays in final control of every reply. The goal is to raise the team's speed and consistency and free them for complex cases, not to displace them.
How does the copilot decide when to escalate to a human?
Through tunable confidence thresholds and rules for sensitive cases. When answer confidence drops, or a topic is sensitive or outside the knowledge, the copilot recommends escalation and hands the agent a context summary instead of offering an unreliable answer.
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