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AI agent for support

AI agent that assists, not replaces, your team Copilot, deflection, and smart routing

Use AI across your helpdesk to draft replies, deflect repetitive questions, and route complex tickets to the right agent without losing human judgment.

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Last updated on 2026-07-08 Written by Malik S Reviewed by Gandral V

AI Copilot for agents

Draft replies, summarize threads, and suggest next steps inside the agent workspace.

Semantic knowledge search

Surface relevant articles and past tickets so customers and agents find answers faster.

AI deflection on portal and chat

Answer common questions before a ticket is created, reducing queue volume.

Overview

Helpefi AI works inside the ticket, not instead of it. Copilot reads the thread and your published knowledge, suggests a draft, and waits for an agent to send or edit it. Deflection answers repetitive questions on the portal and chat before a ticket exists. Nothing customer-facing goes out without a person approving it.

How Copilot builds a draft

When an agent opens a ticket, Copilot reads the conversation, customer metadata, and any linked knowledge articles, then proposes a reply in the reply box. The agent can accept, rewrite, or discard it. Because the draft appears in place rather than in a separate assistant window, review happens in the normal reply flow and the timeline records what was sent. Short tickets with a clear question produce the most usable drafts, which is why a pilot usually starts with a high-volume queue.

Grounding on your knowledge base

Answers are grounded in knowledge collections you choose to publish. Admins decide which collections AI may cite, so legal-approved content can be separated from internal drafts. Where an article supports a claim, the agent can open it from the draft and check the wording. Grounding is the main defence against confident wrong answers: when no approved article covers a question, the draft reflects that gap instead of inventing policy.

Deflection on portal and chat

Deflection suggests articles as a customer types in the portal search box or the chat widget, and offers an answer before a ticket is created. It runs on published content only. If the suggestion misses, the customer can continue to a ticket and the agent sees that a self-service attempt happened first, which is useful context for the reply. Deflection reduces repeat questions; it does not silence people who need to talk.

Triage and routing suggestions

AI can propose a priority, a queue, or a tag based on the content of the ticket, leaving the final assignment to your existing rules and to the agent. Suggestions are visible rather than silent, so a wrong guess is easy to override. This suits queues where the first hour decides the outcome, such as billing disputes or security reports that need a specialist rather than the general rota.

Governance and what AI may see

AI is an add-on an admin enables, scoped to the workspace. Usage limits appear on the pricing page and in workspace settings. Workspace content is processed to deliver the feature and is not used to train public foundation models. For regulated teams, AI activity sits alongside audit logs, and access follows the same role permissions as the rest of the workspace. Where AI assistance is not appropriate, an admin can leave it disabled per team.

Use case: SaaS onboarding queues

Setup questions deflect through portal articles while Copilot helps agents answer the integration cases that need a person.

Use case: Ecommerce order support

Drafts on shipping and refund policy are grounded in published articles, with order context beside the ticket.

Use case: Multi-brand agencies

Separate knowledge collections per client keep suggestions on-brand without leaking answers between portals.

Use case: Regional support hubs

Flat module pricing keeps AI forecasting predictable when seasonal staff are added for peak periods.

Use case: Internal IT queues

Copilot summarizes long incident threads for managers while approvals continue on formal ITSM workflows.

Assistive AI your team can trust

Start with one queue and a set of articles you would defend in a customer email. Measure handle time and reopen rate against a real baseline, then extend AI to deflection and routing. Speed is useful only where the answer is right.

Frequently asked questions

Does AI replace support agents?
No. AI drafts, summarizes, and suggests routing. Customer-facing replies still pass through an agent unless you deliberately enable an automated path.
Can AI use our knowledge base?
Yes. Copilot and deflection ground on published articles from collections an admin selects, so internal drafts and approved content stay separate.
How is Helpefi AI priced?
AI Copilot is a flat monthly module or a plan inclusion, not a per-agent surcharge. Professional includes 5,000 AI completions a month, and Enterprise removes the cap.
Is our data used to train public AI models?
No. Workspace content is processed to deliver the feature inside your account and is not used to train public or third-party foundation models.
Can agents edit AI drafts before sending?
Yes, and editing is the default. Agents accept, modify, or discard a draft, and the ticket timeline records what was actually sent.
How do we measure AI impact?
Track first response time, resolution time, reopen rate, CSAT, and handle time on tagged queues. Compare against a baseline week before enabling AI, not against a target invented for the board.
Can we restrict AI to certain teams?
Yes. Enable Copilot for a pilot team first, then expand. Multi-brand workspaces can scope knowledge collections so suggestions stay within the right portal.

References & sources

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