Elevon in ForbesYour agent searches 5 systems. The customer waits on the line. AI copilot delivers context, answers, and history in real time.
AI assistant that surfaces relevant KB articles, suggests replies, and summarizes ticket history for agents in real time. Reduces handle time by 35%, improves first-contact resolution by 45%.
35%
Reduction in average handle time (AHT) with AI copilot
Gartner Customer Service 202445%
Improvement in first-contact resolution with contextual assistant
Forrester CX Research 20242.8×
Faster onboarding of new agents with AI support
McKinsey Service Operations 2024Does this sound familiar?
Agents waste time searching for information
Every call or ticket means switching between CRM, knowledge base, past tickets, and internal wiki. Agents spend 40% of their time searching, not solving.
Gartner 2024Inconsistent answers erode customer trust
Different agents give different answers to the same question. Without a single source of truth, quality depends on individual experience. New hires maké mistakes.
McKinsey 2024Repeated escalations slow resolution
An agent isn't sure about the answer and escalates to a supervisor. The supervisor searches the same systems. The customer waits twice as long for something they should have gotten on first contact.
Forrester 2024How the copilot works
Customer reaches out. Copilot prepares everything the agent needs.
Data Inputs
Copilot connects to your helpdesk, CRM, knowledge base, previous tickets, internal wiki, and product documentation. It draws from your entire ecosystem.
Context Assembly Agent
When an agent opens a ticket, the copilot automatically gathers customer history, previous interactions, sentiment, and relevant context - in seconds.
KB Search & Reply Agent
Based on the query content, it finds the most accurate KB articles and suggests a reply. The agent reviews and sends - no need to write from scratch.
Summary & Learning Agent
After a ticket is resolved, the copilot automatically creates a summary, tags key topics, and stores the solution for future queries. The knowledge base continuously expands.
Agent Dashboard with AI Copilot
A contextual panel with customer history, suggested reply, relevant KB articles, and recommended action - right inside your helpdesk.
Sample Output
How much work does this replace
How many hours do agents spend searching for information and writing replies each month?
Value of replaced work / month
€1,350 / mo.
Pricing
€190 / mo.
The platform fee is €190 per month. Compare it against the value of work the copilot takes over.
Net benefit after deducting the fee / mo.
€1,160
What the copilot does on an ongoing basis
Automatic KB article surfacing
For every ticket, the copilot identifies relevant KB articles and displays them to the agent without manual searching. The answer appears instantly.
12 hrs/monthReal-time reply suggestions
Based on context, history, and KB, the copilot suggests a reply the agent just reviews and sends. Quality answers in a fraction of the time.
15 hrs/monthTicket history summarization
The copilot shows a compact summary of all previous customer interactions. No need to read 20 old tickets - full context in 5 seconds.
10 hrs/monthAutomatic tagging & categorization
Every resolved ticket is automatically tagged and categorized. The knowledge base grows with new solutions without manual work.
5 hrs/monthSetup & Pricing
What's included
- Elevon copilot configured & connected
- Helpdesk systém integration
- Knowledge base & documentation connection
- CRM and customer history linking
- Reply suggestion calibration on real tickets
- Contextual panel configuration
- Demo run with live data
- Team walkthrough (1h)
Customer Support Agent Copilot Setup
€1000
One-time. Full configuration + first live run.
Frequently Asked Questions
No searching. No window-switching. Agent responds in a minute.
The copilot delivers context, suggests answers, and summarizes history - the agent focuses on the customer.
Learn moreKB surfacing · Reply suggestions · History summarization · Auto-tagging
Next step
Want to try it?
Describe how your agents work today and what systems they use. We'll propose the setup.