dashly.io

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{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.dashly.io/#faq","mainEntity":[{"@type":"Question","name":"What does 'data-driven AI agents' actually mean?","acceptedAnswer":{"@type":"Answer","text":"Every message an agent sends is built from your CDP: real behavior on your site, real CRM data, real past conversations. Not a generic LLM guess. That's what lets our agents hit 82% MQL-to-meeting instead of the ~20% a generic chatbot gets."}},{"@type":"Question","name":"Why do you have multiple agents instead of one?","acceptedAnswer":{"@type":"Answer","text":"Inbound is not one job. Engagement opens the conversation on the right page at the right moment. The Qualifier asks ICP questions and routes intent. Support answers off-script product questions without losing the qualification thread. Booking locks the slot, sends the invite, and runs the nurture. A single 'do-everything' agent ends up mediocre at all four because each role has a different objective, a different success metric, and a different prompt. Splitting the workload also makes hand-offs explicit (Engagement → Qualifier → Support → Booking), so every transition is logged, monitored, and tunable — instead of being one opaque LLM call that you can only re-prompt and pray."}},{"@type":"Question","name":"Why can't I build such agents myself with Claude or ChatGPT?","acceptedAnswer":{"@type":"Answer","text":"You can build a wrapper around Claude or ChatGPT in a weekend. The hard part is everything else: a real-time CDP with sub-3ms event ingestion, a unified Lead Profile that merges behavior, CRM, conversation memory, and enrichment, regex-fallback conversation analysis when the LLM times out, hand-off logic between Engagement / Qualifier / Support / Booking, 22+ CRM integrations with bidirectional sync, omnichannel delivery across web, WhatsApp, Telegram and email, calendar booking with live-slot availability, prompt + scenario tooling for non-engineers, eval and regression infra for every prompt change, role-based access, and compliance. That's 12–18 months of engineering and an ongoing team to keep running — versus 2–5 days to deploy Dashly on the same data layer."}},{"@type":"Question","name":"How long does it take to go live?","acceptedAnswer":{"@type":"Answer","text":"Most teams ship within 2–5 days. You connect your CRM, upload your knowledge base, define your qualification criteria, and the agents are live. No engineering required."}},{"@type":"Question","name":"Which CRMs do you integrate with?","acceptedAnswer":{"@type":"Answer","text":"Native integrations with HubSpot, Pipedrive, Salesforce, and AMO CRM. Custom integrations via open API and webhooks."}},{"@type":"Question","name":"What happens to leads outside business hours?","acceptedAnswer":{"@type":"Answer","text":"All four agents run 24/7. Night-time leads are engaged, qualified, and offered a meeting slot the same way they would be at noon."}},{"@type":"Question","name":"Who is Dashly built for?","acceptedAnswer":{"@type":"Answer","text":"B2B SaaS (MarTech, Sales Tech, HR Tech) and Real Estate teams with 50K+ monthly traffic, 1-month+ sales cycle, $500+ ACV, and an inbound motion. If you have SDRs today, we usually let you redeploy 1.5+ FTEs."}},{"@type":"Question","name":"How is pricing structured?","acceptedAnswer":{"@type":"Answer","text":"SaaS subscription based on traffic volume, active leads, which agents you deploy, and integration depth. Mid-market teams typically start at $2,500/mo with 2–5 month payback."}}]}