Website questions answered before intent cools
The Inbound Engager answers live visitors from your actual docs, reads who is asking and why, and makes the right offer: a demo, a support handoff, or an honest "we don’t do that yet".
Inbound EngagerLive visitor on pricing with a real question. Answering first, then working out who I am talking to.
Answering from the limits doc6sChecking account and intent history2sThird pricing visit this week, from a known target account. This is the moment to offer a demo, not a newsletter.
Offering live demo slots in-chat2s
How it works
Chat started · pricingQuestion in docs chatReturn visit · target accountOut-of-hours message
Demo booked · Thu 2pmTranscript to the AEConversation loggedProduct gap recordedTriggered by your chat widget
When a visitor opens a conversation in Intercom, on pricing, docs or anywhere else, the agent picks it up instantly, at any hour.
Reads the asker, not just the question
It answers from your real docs, checks who is asking and their history, and calibrates the move: demo offer, support handoff, or an honest no.
Books and hands off with context
Demos land on the calendar, transcripts and account context reach the AE or CSM in Slack, and every conversation is logged in the CRM.
Without Relevance
With Relevance
A bot offers four canned buttons, and the visitor with a real question closes the widget.
The actual question gets an actual answer, grounded in your docs and pricing, in the first exchange.
Every chat gets the same script, whether it is a first-time browser or a target account’s third visit this week.
The agent checks who is asking and what they have done before, and calibrates the offer to the intent it finds.
Existing customers asking product questions get pitched a demo of the product they already own.
A customer gets routed to support with context, a prospect gets a demo offer, and the agent can tell the difference.
Questions the script cannot match get "a team member will get back to you" and never do.
When the answer is genuinely "no" or "not yet", the agent says so, offers the nearest real alternative, and logs the gap for product.
Chat gets staffed for eight hours in one timezone. The pricing-page visitor at 2am gets a form.
Every conversation gets the same quality of answer, at 2pm or 2am, on the first chat or the thousandth.
The AE gets a name and an email, and re-asks everything the visitor already explained.
Booked demos arrive with the transcript, the account history and the question that mattered, so the call opens mid-conversation.
Held to a quality bar, on every run
Every reply is checked against eval test cases written for this exact job before the visitor sees it. If a run fails the bar, it never ships.
Inbound EngagerPass rate · last 14 days
Sampling 2% of live runs · 95% passing this week
Train your agent like an employee
Onboard it with your playbooks and correct it in plain English. It learns the lesson for good, and nothing changes until you approve it.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Monitoring
Real-time visibility into every agent’s activity, performance, and cost.
RBAC
Control who can use, build, edit, and deploy agents.
Data residency
Multi-region deployment keeps your data within your required geography.
Version control
Full version history on every agent. Roll back to any previous state.
Audit logs
Every action, every decision, every tool call logged and exportable.
Human-in-the-loop
Set approval gates on any action or allow agents to ask questions.
SSO / SAML
Enterprise single sign-on with SAML 2.0. Centralize identity & access.
PII masking
Detect and redact personally identifiable information.
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
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Every agent you add shares one stack
These agents all run on one platform: one gateway, one router, one eval suite, one audit trail. Every agent after the first ships faster.
- Triggered by key events or signalslike Zapier
- Given access to contextlike Zep
- Connected to your appslike Composio
- Access to all LLMslike OpenRouter
- Performance evaluatedlike Braintrust
- No-code agent builderlike Dust.tt
- Coordinated into teamslike CrewAI
- Chained into multi-step processeslike n8n
- Kept alive through long-running worklike Temporal
- Traced at every step of every runlike Langfuse
Put the Inbound Engager to work this quarter
We partner with enterprise teams to take this work off their plate. An agent built with you, proven against your quality bar, and live in weeks.