Use Cases

Instant deflection at scale

Handle thousands of simultaneous conversations without adding headcount. The assistant answers repetitive questions around the clock, so your team only sees tickets that genuinely need a human.

Cited, trustworthy answers

Every response is grounded in your uploaded documentation, help articles, and curated Q&A. Users can see exactly which source an answer came from, building trust in the assistant's accuracy.

Continuous improvement loop

Per-message thumbs-up/down feedback is captured and surfaced in your analytics dashboard. You can spot low-confidence answers, identify knowledge gaps, and add new content to close them.

Seamless human escalation

When a conversation exceeds the assistant's confidence threshold, it flags the session for human handoff — passing along the full conversation history so the agent has context from the first message.

Branded, embeddable widget

The support widget loads with your brand colors, fonts, and tone. A single script tag is all it takes to embed it on any web page, portal, or documentation site.

Reduce cart abandonment

Answer sizing, compatibility, and pricing objections in real time — at the exact moment a shopper is deciding whether to buy. Removing uncertainty at checkout directly increases conversion.

Personalised recommendations via session context

Store visitor attributes — browsing history, past purchases, preferences — in the user context API. The assistant uses this data to tailor product suggestions to each individual shopper.

Always up-to-date catalog knowledge

Keep the assistant current by re-ingesting product URLs, inventory feeds, and policy pages on a schedule. No manual copy-pasting required — changes propagate automatically.

Multi-language support out of the box

Serve international customers in their own language. The assistant adapts to the visitor's locale, keeping tone and product terminology accurate across markets.

Actionable analytics on buyer questions

The dashboard shows which products generate the most questions and which queries go unanswered. Use that signal to improve your product descriptions and marketing copy.

Eliminate repetitive internal questions

HR FAQs, IT procedures, onboarding checklists, engineering runbooks — the assistant handles them all so your team can focus on work that actually requires human judgment.

Organisation-scoped data access

Each team or department gets its own scoped assistant. An HR assistant never surfaces engineering IP; a client-facing assistant never exposes internal pricing. Access control is built in.

Knowledge that stays current

Automated re-ingestion keeps the assistant's answers accurate as your documentation evolves. When a policy changes, update the source document and the assistant picks it up automatically.

Identify knowledge gaps before they become blockers

The analytics dashboard surfaces the questions that the assistant couldn't confidently answer — giving knowledge managers a prioritised list of what to document next.

Multiple source types, one interface

Ingest PDFs, Markdown files, Notion pages, GitHub repos, and URLs in a single pipeline. Employees get one place to ask regardless of where the original information lives.

Reduce time-to-activation

Resolve the setup blockers that cause new users to churn before they see value. An assistant that knows your product removes friction at exactly the right moment in the user journey.

Context-aware responses per user segment

Pass plan type, feature flags, or onboarding step into the session context. The assistant tailors responses to where each user is — a free-tier user gets different guidance than an enterprise admin.

Persistent conversation memory

Sessions persist across page reloads and revisits. A user who paused their onboarding yesterday picks up exactly where they left off — no need to re-explain their situation.

Per-step analytics to identify drop-off

Session and conversation analytics reveal which onboarding steps generate the most questions and where users abandon the flow. Use this data to improve in-app guidance proactively.

Zero-infrastructure embed

Add the onboarding assistant to your app with a single script tag. No backend changes required — pass user context via data attributes and the assistant handles the rest.

Engage high-intent visitors immediately

Respond to pricing page and demo page visitors the moment they arrive — before they leave to evaluate a competitor. An instant, informed response dramatically increases the chance of converting a visitor into a lead.

Qualify leads through natural conversation

The assistant asks clarifying questions — company size, use case, timeline — and collects structured data through dialogue. No forms, no friction. Qualified leads arrive in your CRM pre-enriched.

Hand off warm leads with full context

When a conversation reaches a qualification threshold, the full transcript is forwarded to your sales team or CRM. Your rep knows exactly what the prospect asked, what they were told, and what objections came up.

A/B test assistant personas for conversion

Run two assistant configurations simultaneously — different tones, different opening messages, different qualification scripts — and let the analytics surface which version books more meetings.

Works around the clock across time zones

International prospects and late-night researchers get the same quality response as a weekday morning visitor. Every interaction is logged, so nothing falls through the cracks when your team comes online.