AI agents for your customer service advisors
Which AI agents to assist your advisors?
The AI Advisor Suite brings together two agents, to choose according to the needs of your contact center. Each agent plugs into your existing tools and can be activated step by step, depending on the operational maturity of your team.
AI Advisor Agent
Support for the advisor during the interaction
The advisor asks a question in natural language and gets the answer drawn from your knowledge base, without leaving their workstation. The agent is built into the advisor desktop, inside your CCaaS.
AI Mailbot Agent
Handling of incoming emails
The agent reads each email, identifies the reason for the request and reads the attachments. For eligible reasons, the reply is sent automatically. Otherwise, the advisor receives a ready-to-use file with a drafted reply, which they approve, correct or reject.
| Your need | Recommended agent |
|---|---|
| Your advisors look for information during the interaction | AI Advisor Agent |
| Your incoming emails arrive in volume and in peaks | AI Mailbot Agent |
To place these agents within the changing role of the advisor, read our guide on the augmented advisor and AI tools.
How do the AI agents plug into your tools?
DialOnce AI agents do not depend on any one tool. They integrate with your CCaaS, your CRM and your information system, and an open API lets any tool able to call a URL launch an agent.
How do you keep control over the AI answers?
The advisor stays in charge: for requests that are not eligible for automation, they approve, correct or reject the proposed answer.
Sourced answers
The agents answer from your company knowledge base, procedures and answer templates included, and cite their sources.
Automatic checks
Automatic checks (LLM-as-a-judge) evaluate the generated answers.
Handover to the advisor
Confidence thresholds and exclusion rules prevent a sensitive or ambiguous case from being handled without the advisor: the agent then hands over, with the information already collected.
See our AI agents in action
Expected gains for your teams
−30%
Handling time
Reduction in average handling time thanks to automation
−25%
Turnover
Lower attrition thanks to greater job satisfaction
+20%
Productivity
More time spent by advisors on high-value tasks
Testimonial
What our customers say
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The goal of the Augmented Customer Advisor project is to give our team access to our internal scripts and our news in one click or with a simple question, without interrupting the conversation with our tenants. A real gain in peace of mind and efficiency.
Lénaïck Colin
Quality and Internal Control Manager, Brest Métropole Habitat
FAQ
What is DialOnce’s AI Advisor Suite?
The AI Advisor Suite brings together AI agents built into the tools of your contact center: the AI Advisor Agent assists the advisor during the interaction, the AI Mailbot Agent handles incoming emails. The advisor keeps the decision.
Which agent should I choose, the AI Advisor Agent or the AI Mailbot Agent?
The AI Advisor Agent meets the advisor’s need for information during the interaction. The AI Mailbot Agent meets the need created by the volume of incoming emails. The two can be combined, and each agent can be activated step by step.
Do AI agents replace advisors?
No. The agents take over information search, sorting and the preparation of replies. Decisions, tone and the relationship stay in the advisor’s hands.
Which tools do the AI agents integrate with?
Your existing CCaaS, CRM and business tools, for example Kiamo, Genesys or Salesforce. An open API lets any tool able to call a URL launch an agent.
How do I know an AI answer is reliable?
The agents rely on your company knowledge base and procedures, and cite their sources. Automatic checks (LLM-as-a-judge) evaluate the generated answers. The advisor can approve, adjust or complete the proposed answer.
What happens when the AI is not certain?
The agent does not answer at all costs. It hands over to the advisor with the information already collected, and the advisor takes over with no loss of context.
What gains can I expect from AI agents for advisors?
The expected gains are a 30% reduction in handling time, a 25% reduction in turnover and a 20% increase in productivity. They depend on the scope deployed and the maturity of the knowledge base.