Customer Support AI That Answers From Your Own Docs
Generic chatbots guess, hallucinate and frustrate customers, which is why so many Australian support teams have switched them off. A custom LLM grounded in your help centre, product manuals and past tickets answers accurately, cites its sources, and hands off to a human the moment it is unsure. It deflects the repetitive questions, drafts replies for your agents, and keeps every answer on-brand, so your team spends its time on the conversations that actually need a person.
Why Off-The-Shelf Support Bots Get Switched Off
Most support teams have already tried a chatbot and quietly retired it. The problem is rarely the idea of AI, it is that the underlying model has no reliable access to your actual answers. Grounding the model in your own documentation is the difference between a tool customers trust and one they learn to bypass by typing "agent" as fast as they can.
Guessing Instead of Knowing
A public model trained on the open internet does not know your refund window, your shipping cut-offs or how your specific plan tiers work. When it does not know, it makes something up, and a confident wrong answer damages trust faster than no answer at all.
Agents Buried in Repeats
Support inboxes fill up with the same handful of questions answered a hundred times over. Skilled agents burn their day on password resets and order-status checks while the genuinely hard, revenue-critical conversations sit waiting in the queue.
Your Data Sent Somewhere Else
Pasting tickets, account details and internal policies into a public AI tool sends sensitive customer data to a third party you do not control. For Australian teams handling personal information, that is a privacy and compliance risk that rules most consumer chatbots out entirely.
What Your Support AI Actually Does
Every capability is built around one principle: the AI only answers from what your business has verified, and it knows when to step back. Grounded retrieval, safe escalation and agent assistance work together so customers get accurate help and your team stays in control.
Grounded Answers From Your Content
The AI retrieves the relevant passage from your help centre, manuals and policy documents before it responds, then answers in plain language with a link back to the source. Customers get the current, correct answer rather than a plausible-sounding guess.
- Retrieval-augmented generation over your documented knowledge only
- Every answer cites the source article so customers can read more
- Refuses to invent facts when the information is not in your content
- Answers update automatically as you edit the underlying documents
Automated Ticket Deflection
Repeat questions never reach a human. The AI resolves order status, account, billing and how-to queries end to end across chat, email and your help widget, freeing agents to focus on the conversations that genuinely need them.
- Resolves common questions across web chat, email and in-app widget
- Handles multi-turn conversations, not just single-line FAQ lookups
- Understands follow-up questions in the context of the whole thread
- Reports exactly which topics it deflected and where gaps remain
Agent Assist & Draft Replies
For tickets that do reach a person, the AI drafts a grounded reply the agent can approve or edit in a click. It surfaces the right knowledge article inline, so even a new hire responds like a seasoned team member from day one.
- Suggested reply drafted from your knowledge base for every ticket
- Relevant help articles surfaced alongside the conversation
- Summarises long threads so agents pick up context instantly
- Speeds up onboarding by putting expert answers at every desk
Safe Escalation & Guardrails
The AI is built to know its limits. When confidence is low, the topic is sensitive, or the customer is frustrated, it escalates to a human with the full conversation summarised, rather than pushing a risky answer.
- Automatic handoff to a human on low-confidence or sensitive topics
- Passes a clean summary and detected sentiment to the agent
- Configurable no-go topics it will never attempt to answer
- Never fabricates policy, pricing or account-specific commitments
On-Brand Tone & Voice
The AI speaks the way your brand speaks. You set the tone, the terminology and the boundaries once, and every reply, in every channel, stays consistent with your voice and your Australian customer expectations.
- Configurable tone from warm and casual to formal and precise
- Uses your approved product names, terms and spelling
- Consistent voice across chat, email and self-service channels
- Australian English and local context by default, not US phrasing
Insights & Content Gaps
Every conversation becomes data. The AI shows you what customers ask most, which questions it could not answer, and where your documentation falls short, turning your support queue into a roadmap for better content and product.
- Trending question and topic analysis across all channels
- Flags questions with no matching documentation to fix
- Deflection, resolution and satisfaction reporting by topic
- Early warning on emerging issues before they flood the queue
How We Deploy Your Support AI
From first document to live deflection, the rollout is designed to prove value quickly and safely. You stay in control at every stage, and nothing goes live to customers until you have seen it answer your real questions correctly.
Connect Your Knowledge
We securely ingest your help centre, product docs, policies and historical tickets, then index them so the AI can retrieve the exact right passage for any customer question.
Ground & Tune
We configure retrieval, tone of voice, escalation rules and no-go topics, then test the AI against your real historical questions until the answers are accurate and on-brand.
Assist Then Deflect
We launch in agent-assist mode first, so your team validates every draft reply. Once accuracy is proven, we switch on customer-facing deflection for the topics you approve.
Measure & Improve
We track deflection, resolution and satisfaction, close the content gaps the AI surfaces, and expand the topics it handles as your confidence and coverage grow.
Built For Trust And Return On Investment
A support AI only pays back if customers trust it and the numbers stack up. The architecture is designed for both: grounded and private so people believe the answers, and measured so the deflection and satisfaction gains are visible from the first month.
The ROI Of Deflection And CSAT
The business case is straightforward. When the AI resolves the repetitive tier-one questions, cost per contact falls and your agents spend their time on higher-value conversations that retain customers and drive revenue. Because answers are grounded and fast, self-service satisfaction rises rather than falls, and after-hours coverage means fewer customers wait overnight for a simple answer.
- Lower cost per resolved contact as automated deflection scales
- Agents redeployed from repeats to retention and complex cases
- Higher self-service CSAT because answers are accurate and instant
- Round-the-clock coverage without adding overnight headcount
Private, Grounded And Under Your Control
Your support AI runs on your documentation and, if you need it, within your own environment. Customer conversations and internal policies are not fed into a public model, and the system answers only from content you have approved. That grounding is what makes safe escalation reliable, and what keeps the deployment compliant with Australian privacy expectations for handling personal information.
- Answers restricted to your verified, approved knowledge sources
- Customer data kept private, not used to train public models
- Deployment options including your own cloud or on-premises
- Full audit trail of what was answered and what was escalated
Related AI Solutions
Enterprise AI Knowledge Base
Turn the same documentation that powers your support AI into a searchable knowledge base for your whole organisation.
Explore knowledge base →How To Build a Custom AI Chatbot
A practical guide to designing, grounding and launching a custom AI chatbot that gives reliable, on-brand answers.
Read the guide →Custom LLM for Retail
See how retail chains use grounded private AI to arm store teams and customer service with instant product knowledge.
View retail solutions →Frequently Asked Questions
The custom LLM uses retrieval-augmented generation, which means it looks up the relevant passage in your documentation before it responds and answers only from what it finds. If your content does not cover the question, it says so and escalates rather than guessing. Each answer can also cite the source article, so customers and agents can verify it themselves.
It can be grounded in your public help centre, internal product manuals, policy and procedure documents, past ticket resolutions and any structured FAQ you maintain. As you edit or add content, the AI reflects the changes automatically, so your documentation stays the single source of truth for every answer it gives.
It depends on how repetitive your queue is and how complete your documentation is, but teams commonly deflect a meaningful share of tier-one contacts once answers are properly grounded. We deliberately start in agent-assist mode and expand deflection topic by topic, so you grow automation on the questions where accuracy is proven rather than switching everything on at once.
The AI escalates whenever its confidence is low, the topic is one you have marked as sensitive or off-limits, or it detects that the customer is frustrated. When it hands off, it passes a summary of the conversation and the detected sentiment to your agent, so the customer never has to repeat themselves and the human picks up with full context.
You configure the tone, terminology and boundaries once, and every reply follows them across chat, email and self-service. It uses your approved product names and Australian English by default, so responses read as an extension of your support team rather than a generic off-the-shelf assistant.
Yes. The system answers only from content you have approved, and your customer conversations and internal policies are not used to train any public model. Deployment can run within your own cloud environment or on-premises, which keeps sensitive personal information under your control and aligned with Australian privacy expectations.
Ready To Deflect Tickets Without Frustrating Customers?
See your own support AI answer your real questions, grounded in your own documentation, before you commit to anything. Book a free demo and we will show you the deflection, agent-assist and escalation flow using your content, or explore our pricing to plan your rollout.