Email, Microsoft Teams, Facebook and Instagram pull into one queue. For each message the copilot investigates your systems, retrieves the right answer from your knowledge base and drafts an on-brand reply - cited, with a confidence score. Your agent reviews and sends. A human stays in the loop for every reply.
Customers message you everywhere - email, Microsoft Teams, Facebook, Instagram - and your team hops between inboxes, re-writing the same answers and hoping nothing slips through. Quality swings with whoever is on shift, and response times stretch when it is busy.
The slow part isn't typing the reply - it's the investigation before it: digging through docs, past tickets, the CRM and prod logs to work out what actually happened for this customer. That's the work we handed to the copilot.
Support agents spend most of their time investigating, not replying. The copilot does the digging - then hands your team a finished, cited draft to approve.
Every message - email, Microsoft Teams, Facebook or Instagram - lands in one queue, classified by intent, account, urgency, sentiment and language. Spam and duplicates are filtered; threads are understood so it never re-answers.
It retrieves the answer from your RAG knowledge base with a real search-and-rerank pipeline, checks prod signals like Sentry and audit logs, queries your DB and CRM, and calls your microservice APIs for live account state - every lookup scoped by row-level security to that customer.
With the full picture it forms a recommendation, drafts an on-brand reply with a confidence score, cites its sources, and stages any action - refund, resend, ticket update or escalation.
The draft and its evidence land in your agent's queue. One click to send, edit or reject. Nothing reaches the customer or writes to a system until a person says go.
Azure AI Search, Onyx and Amazon Bedrock KBs - docs, past tickets, runbooks and policies, retrieved with search + rerank so the answer is genuinely relevant.
Sentry errors, application & audit logs, incident and status data - so it knows what actually broke.
Your DB and CRM - read for context, and it proposes writes for a human to approve.
Live state via your internal APIs - orders, billing, entitlements, shipping and more.
The whole point is control: the copilot gathers everything and proposes the answer, and a person signs off on the send.
The copilot only ever sees what that customer's conversation is entitled to. RLS is enforced at the source, not bolted on afterwards.
No auto-send, no silent writes. Autonomy is configurable per action type - start fully approved, graduate low-risk categories like FAQ answers to auto-send later.
Answers are cited to your sources and carry a confidence score. If it can't ground an answer, it escalates instead of hallucinating.
Every draft is screened for private data and unsafe content before a human even sees it - nothing sensitive is surfaced or logged in the clear.
Every draft records what it read, why it decided and who approved - so "why did we tell them that?" is always answerable.
Runs in Australia and in your cloud. Your data and knowledge base stay yours.
You already run inbound-message → investigate → structured-output pipelines in production. The Support Copilot is assembled from components already live for Australian businesses.
Reads inbound invoice emails, extracts the data and matches them to bills automatically.
Parses inbound rate emails into clean, structured data ready for downstream systems.
Self-hosted RAG knowledge system - the retrieval layer that grounds every answer in your sources.
Live speech pipeline - the same real-time, tool-calling backbone the copilot runs on.
If support quality depends on who is on shift, a copilot grounded in your own knowledge base makes every shift your best one.
Best for · support teams, e-commerce, high-volume services
We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.
Book a free meetingOr reach us right here, right now - talk, type or call, whichever suits you:
Live video & voice calls run 9am-5pm Brisbane; chat, the AI assistant and email are open any time. Calls are transcribed live into your chat, so everything you discuss stays right here in your messages.