Write Better Replies with AI

How Do You Get AI Reply Suggestions?

When your message input is empty and the last message is from the customer, AI can draft a reply for you. It reads the last 10 messages in the conversation and generates a contextual response that matches your company's tone settings and any approved knowledge base facts that fit the question.

How to get a suggestion

1. 1
   Open a conversation with a customer message

   The AI suggest button only appears when the last message is from the customer and your input field is empty.

2. 2
   Click the sparkles icon or press the shortcut

   Look for the sparkles icon (✦) in the message toolbar. Or use the keyboard shortcut: Cmd+Shift+S on Mac, Ctrl+Shift+S on Windows/Linux.

3. 3
   Review and edit the suggestion

   The AI-generated text fills your input field. Read it, adjust anything that doesn't sound right, and send when ready.

Quick Reply matching and caching

While generating a suggestion, AI also checks your Quick Reply library. If one of your existing templates fits the customer's question, it is suggested instead of newly generated text, which keeps responses consistent with your pre-approved messaging.

How Do Polish and Transform Work?

Polish and Transform edit what you already typed. Once there is text in the input, the icon changes from sparkles to a wand, and the behavior depends on how much you've written. Both modes keep your draft in the language you wrote it in.

Using Polish or Transform

1. 1
   Type your draft in the message input

   Write whatever comes to mind. The AI will handle the polishing or restructuring.

2. 2
   Click the wand icon

   The wand icon replaces the sparkles when text is present. The tooltip shows "Polish" for short text or "Transform" for longer text.

3. 3
   Review the result

   The processed text replaces your draft. Check that it captures your intent, then send.

Beyond drafting for agents, the AI can answer customers directly. One setting — Autonomy — decides whether it does, and how cautious it is when it does. Everything below applies to conversations nobody has claimed yet.

The three autonomy modes

Only unassigned conversations

The AI answers a thread only while no agent is assigned to it. The moment somebody is assigned — by you, by auto-routing, or by the AI's own handoff — the AI stops replying on that conversation and it belongs to the person holding it. There is no AI agent seat and no AI row in your team list; an unassigned conversation is the only thing the AI ever owns.

Customers can tell an AI wrote it

Every message the AI sends on its own carries a 🤖 marker at the front, so the customer knows a machine answered. Replies that an agent generated, read, and sent are not marked, because a person reviewed those words and chose to send them. Inside the inbox, autonomous messages also carry a small "AI" badge so your team can see at a glance which turns it handled.

What happens at handoff

When the AI is not confident, when the customer asks for a human, or when a limit is reached, it hands the conversation over rather than guessing. Three things happen together: an available agent is assigned, the team is notified (the assigned agent gets the same notification as a manual assignment; if nobody is available, owners and admins get the alert instead), and the customer receives a short message in their own language telling them they're being transferred. That transfer notice is fixed wording, not model output, so it works even when the model produced nothing usable.

The limits that keep it honest

Always on, every channel

There is no schedule and no per-channel switch. The AI answers at 3am and it answers on every platform you've connected, because out-of-hours is exactly when nobody is there to reply, and a customer on WhatsApp deserves an answer as much as one on the widget. It knows your working hours and who is online, so it won't promise an immediate transfer when the office is closed. If you want it quiet, set Autonomy to Off — that is the switch.

The knowledge base is the set of company facts your AI is allowed to answer from — check-in times, refund windows, which plans include which features. When a customer asks something, matching facts are pulled in and the AI answers from them instead of inventing a plausible-sounding response. It lives under the AI icon in the sidebar, in the Knowledge tab.

Facts reach the knowledge base three ways: you type them, the AI proposes them from a real conversation, or you upload a document. Only the first lands live immediately. The other two land in a review queue, and nothing the AI proposed grounds a single reply until a person approves it.

Adding a fact by hand

Open the Knowledge tab and click Add. Give the fact a short title (the topic) and a one-to-three-sentence body (the answer an agent would reuse). Facts you write yourself are approved on the spot and start grounding answers straight away. You can also mark a fact as time-limited and give it an end date — a lift out of service until Friday, a seasonal price — and it retires itself when that date passes instead of quietly going stale.

Scanning a conversation for reusable facts

Good answers are already being typed by your team every day. Open any conversation, click the menu in the chat header, and choose Scan for knowledge. The AI reads both sides of the thread and proposes up to three reusable facts. You'll also be offered a scan when you resolve a conversation, with a "Don't ask again" option if you'd rather trigger it yourself. Proposals land as pending — nothing is added to the knowledge base by scanning alone.

Importing a document

If your policies already live in a handbook, upload it. Click Import document in the Knowledge tab and pick a PDF, Word (.docx), plain text, or Markdown file up to 10 MB. Converge reads the text, splits it into sections, and distills each one into candidate facts, tracking its progress section by section. When it finishes it reports how many facts it proposed and how many it merged into entries you already had. One import runs at a time per company, up to 10 per day.

Working the review queue

Scanned and imported facts wait in the Review tab, which carries a badge with the number pending. Each row shows the proposed title and body, where it came from (a conversation, or the filename it was distilled from), and any expiry date. Approve it, edit it first if the wording needs work, or dismiss it. Approving is the step that lets a fact ground an answer.

When a new fact contradicts an old one

Policies change and two staff members answer the same question differently. When an incoming fact disagrees with one already stored — "we close at 16:00" against "we close at 17:00" — Converge flags it as a replacement rather than merging the two or discarding the correction. The review row shows the old fact struck through beneath the new one, and approving retires the outdated version in the same click. Adding a fact by hand that contradicts an existing one gives you the same choice: replace it, or keep both when both are true (two branches, two sets of hours).

How Do You Translate with Context?

When a customer writes in a different language, a translate button appears next to their message. Translation is context-aware — it uses your company name and conversation history to produce accurate, natural translations across 18 supported languages.

Inbound and outbound translation

Translation works independently from suggest, polish, and transform. You can generate a suggestion with AI, then translate it before sending — the features compose naturally.

AI output follows your company's style settings. Configure these once and every suggestion, transform, and autonomous reply will match your brand voice.

Finding AI settings

Click the AI icon in the sidebar (the sparkles icon) and stay on the Settings tab, the first of three alongside Knowledge and Review. Admins and owners can open the page; only an owner can save changes, and the Save button stays hidden until something is edited.

The four settings

Writing good Custom Instructions

Greeting and sign-off are not separate fields. Every company starts with a default instruction that opens with a brief greeting, ends with a short sign-off, and moves from acknowledgement to cause to next steps — reword it and the AI's openings and closings change with it. Add recurring rules here too: "Always mention our 24-hour support guarantee", "Keep replies under 3 sentences", "Never mention competitor products". You have 200 characters, so keep each rule short.

By default, AI features run on a shared key, which carries a platform-wide ceiling of 2,000 AI calls per company per day. Supplying your own API key removes that ceiling — your calls are billed to your provider account and are no longer counted against the Converge daily cap. It also gives you direct cost control, your own model choice, and a paper trail for compliance.

Setting up BYOK

1. 1
   Get an API key from any OpenAI-compatible provider

   Converge works with any provider that exposes an OpenAI-compatible /chat/completions endpoint. Examples: OpenAI, OpenRouter, Cerebras, Groq, Together AI, or a self-hosted model.

2. 2
   Open AI Settings

   Click the AI icon in the sidebar, stay on the Settings tab, and scroll to the AI Provider section.

3. 3
   Configure your endpoint

   Set the Base URL to your provider's API base (e.g., https://api.openai.com/v1 — without /chat/completions). Set the Model to the model identifier your provider uses. Enter your API Key.

4. 4
   Save

   Your key is encrypted at rest. All AI requests will now use your provider instead of the shared one.

When something goes wrong with your key

A key that has been revoked, an account that has run out of credit, and a provider throttling you all used to look identical from the agent's seat: a spinner that stopped. Each now produces its own message in the chat window, naming the cause, so an owner learns their key was rejected in seconds instead of days. A missing base URL or model is reported the same way. The same distinctions are recorded for autonomous replies, so a broken key never hides behind "the AI escalated".

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