You need this if
- Your support queue grows faster than your team
- Most tickets are the same few requests
- Response times slip at night and weekends
AI customer support agent Resolve the routine tickets. Route the rest.
An AI agent that resolves common support requests end to end, inside your helpdesk, and hands complex cases to your team with the context attached.
Let's Build Together
Support queue · overnight6 resolved, 2 for the team
Tickets that arrived between 10pm and 7am
Nothing left unsorted
AI resolved5
Closed, customer confirmedAI drafted1
Agent approves at 9amTeam handles2
Judgment or riskPick any sorted item to see why it went there.
- Inside your helpdesk
- Routine resolved, any hour
- Hard cases to people
What we hand over
- Ticket analysis: which requests an agent can resolve safely
- AI agent inside your helpdesk (Zendesk, Intercom, Freshdesk and others)
- Order, account and policy integrations with approval limits
- Quality monitoring and weekly improvement
What changes
- Routine requests resolved in minutes, any hour
- Your team freed for the conversations that need judgment
- Resolution rate and satisfaction measured from week one
AI customer support agent, in plain words
An AI customer support agent resolves common support requests on its own, such as order status, returns and account changes, inside your helpdesk, and hands complex cases to people with context. NESway builds them with approval limits and quality monitoring so they cut the queue without hurting satisfaction.
Gartner expects AI agents to resolve 80% of common customer service issues without a human by 2029. Klarna's assistant handled two-thirds of its support chats in its first month and cut resolution time from 11 minutes to 2. The gap between those results and a frustrating bot is engineering: the agent needs access to orders and accounts, rules about what it may do, and a clean hand-over. We build support agents inside your helpdesk that resolve the routine requests and route the rest with the full context.
Reviewed by the engineers who run this practice.
Questions you'll ask first
Will customers know they're talking to AI?
Yes. We always disclose it, and in the EU it's required. Customers can ask for a person at any point.
What share of tickets can it handle?
It depends on your ticket mix. We analyse your last few months of tickets first and tell you which ones an agent can resolve safely before you commit.
Does it replace our support team?
No. It takes the repetitive requests so your team can handle the complex, sensitive and valuable conversations properly.
Sound familiar? Let's fix it.
One call with a senior engineer. You'll leave with a straight answer on what it would take.