tier-1 volume deflected without CSAT loss
An AI front-line agent that handles tier-1 enquiries cleanly, and hands the hard ones to a human with context attached.
The agent sits in front of web chat, the app, the IVR, or all three. A customer asks for their balance. The agent authenticates them against the same identity layer the CRM uses, pulls the balance from the billing system, and answers in seconds. No queue, no hold music. The interaction logs as a resolved case in Salesforce or Zendesk with the transcript attached.
When a customer asks something outside the tier-1 box, the agent does not guess. It says "I'm bringing in a human. Here's the context I've got." It writes a summary, creates the ticket in the existing CRM with the transcript and account context attached, and routes to the right queue. The human agent opens the ticket and starts solving, not reading. Nobody is left shouting at a wall.
The line between the two is the difference between a chatbot people trust and one they complain about. We draw it deliberately and keep it tight.
| We automate | We escalate |
|---|---|
| Password resets and account unlocks | Complaints, in any wording |
| Balance queries and statement requests | Hardship cases and financial distress |
| Order status and shipping updates | Anything involving safety, welfare, or urgent harm |
| Payment confirmation and receipts | Multi-system disputes (billing errors, double charges) |
| Address and contact-detail updates | Anything the customer asks a human for |
| Simple policy and eligibility questions | Edge cases the agent is not confident about |
| FAQ-style product and service questions | Accounts flagged as vulnerable or VIP |
The escalation path is explicit. The agent says "I'm bringing in a human. Here's the context I've got: [summary]." It then creates a ticket in the existing CRM with the full transcript attached, tags the intent, and routes to the right queue. The human opens the ticket and starts solving. The customer is not asked to repeat themselves.
We map your top 20 tier-1 intents against current volumes, average handle time, and cost per contact. The business case is built from real numbers.
We connect the agent to your CRM, billing, and identity systems through their APIs (Salesforce, Zendesk, HubSpot, Freshdesk, and the common billing platforms).
We ground the agent in your actual policies, FAQs, and brand voice. It answers from your content, with citations back to the source document.
We define the escalation rules explicitly: what the agent handles, what it never touches, and how it hands over.
We pilot on one channel with a narrow intent set, measure deflection and CSAT honestly, and only broaden once the numbers hold.
We wire the agent into reporting so the operations team sees deflection rate, CSAT, and escalation reasons in one view, weekly.
A feedback loop uses agent-corrected escalations to retrain intent classification. The system gets sharper as the team uses it.
Between 30 and 60% of tier-1 enquiries resolved end-to-end by the agent, without a CSAT drop on the deflected segment. The human team gets its day back for the complex work.
Customers get an answer immediately, at 2am on a Sunday or 2pm on a Monday. The service window stops being a constraint on the brand.
When a human is needed, they inherit a summary and a transcript. Average handle time on escalated cases drops because the agent is solving, not reconstructing what happened.
Chat and voice transcripts land in the CRM as searchable, classified cases. The contact reasons you used to guess at are now a weekly report.
The Customer Service Agent & Triage is a chat or voice AI agent that resolves tier-1 customer enquiries end-to-end and escalates the rest to a human with full context. It plugs into the CRM the contact centre already uses (Salesforce, Zendesk, HubSpot, Freshdesk) and is built for mid-market operators with existing service teams.
You are paying for every password reset. Every balance query. Every "has my order shipped" and every address change. A tier-1 contact in an Australian mid-market contact centre costs somewhere between $6 and $15 by the time you count the agent, the supervisor, the seat, and the QA. Multiply by the volume that never needed a human in the first place, and the number gets loud.
The cost shows up twice. Once on the P&L, and once on the team. Good agents do not stay in a role where 70% of their day is reading out account balances. Attrition climbs. Training budgets climb with it. The complex work, the work that actually needs a human, ends up in the queue behind the password resets.
Most contact-centre leaders have already tried a chatbot. Most of those chatbots were bad. They deflected what they should have escalated, trapped customers in menu loops, and taught the brand that AI in service is a liability. This is a different build.
Production-ready AI agents, chatbots, and multi-agent systems, built senior-led end-to-end.
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Weeks
cut from new-starter onboarding
Ask your business a question. Get a cited answer before the meeting ends.
Minutes
from question to cited answer, across 29 sites
30-minute call, no slides, no obligation. We'll tell you plainly whether this is the right fit for what you're trying to do.
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