Agents

Brief your agent the way you'd brief a new hire

Give it your business info, your tone, and the phrases it should never say. Test it before it talks to a single customer, then watch it get better every week.

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Connect your web chat & social account in under 3 minutes.

Give your agent your business info, your tone and the phrases it should never say. Test it

What it knows

Agents answers grounded in what you actually told them

Business info, FAQs, documents, conversation histories and your own website. Nothing outside what you’ve approved. Never starts from zero

Business info, structured

Pricing, booking rules, cancellation policy, and hours live in their own fields, so the agent knows exactly what to say and what to leave to a human.

Your website, crawled automatically

Point it at your own domain and it re-reads your pages weekly, respecting robots.txt, so answers never go stale.

Documents it can cite

Upload a PDF, policy, or price list and the agent answers from it directly, citing what you gave it.

Behavior you control

Behavior, guardrails, and testing, in the same place

Skills for how it should answer

Add instructions that shape behavior, not just facts, layered on top of what it knows.

Never-say phrases

Block specific words or claims the agent should never make, like promises about an outcome it can’t guarantee.

Quality scenarios that catch regressions

Save the answers you expect, then re-run them automatically every time you change what the agent knows.

Behavior, guardrails, and testing, in the same place

Where it pays off

From risky guesses to answers you can stand behind

Accuracy

A customer gets a confident, wrong answer because the AI filled a gap with a guess.

Fellix only answers from what you’ve given it, and says so plainly when something isn’t covered, instead of inventing a plausible-sounding answer.

Compliance

Someone worries the AI will promise something the business can’t actually deliver.

Never-say phrases and blank-by-default pricing mean sensitive claims always route to a person, not the model.

Improvement

The bot’s mistakes only show up when a customer complains.

Run real scenarios in a sandbox, grade every answer, and re-test automatically whenever the knowledge changes, before it reaches a customer.

Stack comparison

Generic chatbot vs. Fellix AI Agent

Answering accuracyStatus quoAnswers from general internet knowledge, sometimes confidently wrong.FellixAnswers only from your business info, FAQs, documents, and website.

ComplianceStatus quoNo way to block specific claims or phrases.FellixNever-say phrases and blank-by-default pricing enforced automatically.

Hand-offStatus quoA generic ‘someone will be in touch’ message, if any.FellixA fresh, specific handover message naming exactly what it couldn’t confirm.

TestingStatus quoYou find out it’s wrong when a customer complains.FellixTest real scenarios in a sandbox and grade every answer before going live.

ToneStatus quoOne fixed personality, take it or leave it.FellixConfigurable tone of voice, consistent across every channel.

Knowledge updatesStatus quoRe-train manually, often through a vendor.FellixAdd a document or edit a field yourself; changes apply immediately.

Integrations

Connect Fellix to the tools your data already lives in

Fellix reads and writes to your CRM, storefront, calendar and helpdesk — so every conversation starts with real customer context, and every outcome lands back in the stack your team already works in.