APPLIED AI · CONVERSATION
Reasoning that answers,
not auto-replies that frustrate.
A grounded conversational layer that answers, qualifies, and routes — across web, WhatsApp, Slack, and Teams — using your knowledge as the source of truth.
Request a Briefing Conversation Bot
Search modules, runs, intents… ⌘K
Dashboard
Operations summary across every conversation bot module deployed in your tenant — last 24 hours.
Overview
MODULES LIVE
6
conversation bot stack
EVENTS · 24H
2.8K
99.7% first-pass
CONTAINMENT
87%
in-band
AUDIT TRAIL
100%
replayable
OPERATIONS · LAST 24H
2,814 events handled
00:0004:0008:0012:0016:0020:00
MODULES · HEALTH
Live conversations 128 Live
Channels 8 Live
Knowledge sources 14 Watch
Intents & tags 142 Live
Live-agent handoffs 24 Live
Eval suites 12 Live
RECENT ACTIVITY
14:45
Live conversations RESOLVING CONV-12388 · web — "How do I update my plan?"
14:38
Channels LIVE Web widget — agaro.ai/help
13:31
Knowledge sources SYNCED Confluence — agaro · product
13:24
Intents & tags LIVE rx_refill_intent — pharmacy queue
12:17
Live-agent handoffs PENDING PICKUP CONV-12386 · slack — "SSO reset · 3 attempts"
12:10
Eval suites PASS support-faq.v18 — 420/420 · 0 regressions
OPERATIONS · LIVE CONVERSATIONS
Live conversations
Active sessions across web, WhatsApp, Slack, Teams, SMS — same brain, every surface.
Overview
Active sessions
128
+24 vs avg
First-contact resolve
74%
+3 pts
Avg turns
3.1
on target
CSAT (30d)
4.6
/ 5
U
"How do I update my plan?"
Resolving ↳ 2 turns
A
"Refund for order #4421"
Cited ↳ 3 turns
U
"Reset my SSO"
Live agent ↳ transferred
A
"Hours of operation?"
Resolved ↳ 1 turn
OPERATIONS · CHANNELS
Channels
Per-channel response styling and escalation policy. Same brain underneath, surface-tuned per channel.
Overview
Channels live
8
all healthy
Daily volume
4,128
across surfaces
Latency p95
480ms
first token
Cross-channel
36%
sessions resumed
U
agaro.ai/help
Live ↳ 2,108 sessions
A
+1 ··· 2841
Live ↳ 614 sessions
U
agaro-support
Live ↳ 482 sessions
A
agaro · ops
Live ↳ 402 sessions
KNOWLEDGE · KNOWLEDGE SOURCES
Knowledge sources
Indexed documents, ticket histories, and product specs — RAG with citations users can click.
Overview
Sources
14
connected
Documents
8,402
indexed
Avg citations
2.4
per answer
Drift detected
2
rerank queued
U
agaro · product
Synced ↳ 1,402 docs
A
tickets · resolved
Synced ↳ 4,128 tickets
U
engineering wiki
Synced ↳ 812 pages
A
ops runbooks
Drift ↳ 94 pages
KNOWLEDGE · INTENTS & TAGS
Intents & tags
Production intents and tags learned from conversations. Drift-aware, with one-click re-cluster.
Overview
Intents
142
+3 wow
Tagged sessions
94%
+1.2 pts
New intents · 7d
4
review
Confidence avg
0.91
p95 0.78
U
pharmacy queue
Live ↳ 482/wk
A
nurse line · triage
Live ↳ 128/wk
U
auth + dispute
Live ↳ 94/wk
A
live agent · 1.2s
Live ↳ 12/wk
OPERATIONS · LIVE-AGENT HANDOFFS
Live-agent handoffs
Smooth transfers with one-paragraph summary, draft reply, and the model's recommended next steps.
Overview
Handoffs · 24h
24
12% of sessions
Context attached
100%
every transfer
Avg time-to-pickup
38s
−12s w/w
Re-asked basics
0%
never
U
"SSO reset · 3 attempts"
Pending pickup ↳ 00:18
A
"Billing dispute · escalate"
Picked up ↳ AE Marsh
U
"Cancel my plan"
Picked up ↳ Retention
A
"Out of coverage area"
Pending pickup ↳ 00:42
QUALITY · EVAL SUITES
Eval suites
Continuous evaluation against historical conversations. Regressions surface before they ship.
Overview
Suites
12
in CI
Pass rate
98.2%
+0.4 pts
Cases
4,128
curated
Regressions · 14d
0
clean
U
420/420 · 0 regressions
Pass ↳ 4m 12s
A
94/94 · 0 regressions
Pass ↳ 1m 48s
U
36/36 · 0 regressions
Pass ↳ 0m 38s
A
1,402/1,402 · 0 leaks
Pass ↳ 6m 18s
Channels · Acme Bank 8 surfaces · 1 brain
Draft
Deploy agent
Live channels · 6 in production · 2 in pilot
M. Derek Editing…
Capabilities
What this module actually does in production.
01
Grounded in your knowledge
Retrieval over your documents, ticket history, and product specs — with citations the user can click through to verify the source.
02
Multi-channel parity
Same brain, every surface. The conversation that started on the website continues seamlessly in WhatsApp three days later.
03
Intent clarification
When a request is ambiguous, the agent asks one targeted clarifying question rather than guessing and apologizing later.
04
Live-agent handoff
Smooth transfer to a human with a one-paragraph context summary, draft reply, and the model's recommended next steps.
05
Refusal that's appropriate
Out-of-scope requests are declined with a routing recommendation, not a generic 'I can't help with that.'
06
Continuous evaluation
An evaluation harness runs against historical conversations after every model update — regressions surface before they ship.
Specifications
Engineered to a standard, not a slogan.
Channels
Web, WhatsApp, Slack, Teams, SMS, IG, FB, Email
Per-channel response styling and escalation policies, sharing one underlying brain.
Knowledge
RAG with citations
Indexes Confluence, SharePoint, Google Drive, Notion, Zendesk help center, and PDF/HTML uploads.
Languages
27 production-grade
Same coverage as Voice Agent. Auto-detection per session.
Latency
First token under 600ms
Streaming responses with progressive rendering for long answers.
Audit
Reasoning-trace replay
Every retrieval and every reasoning step logged and replayable.
Pricing
Per-conversation or per-seat
Volume tiers from 10K to 1M+ conversations per month.
Related Services
Modules that compose with this one.
Frequently Asked Questions · Conversation Bot
What buyers ask about conversation bot
— before they sign.
An enterprise conversation bot is a reasoning-grade AI agent that answers, qualifies, and routes customer and employee inquiries across every major messaging surface — web chat, WhatsApp, Slack, Teams, and SMS — from a single deployment. Agaro's conversation bot is grounded in your knowledge base, meaning every reply cites the internal document or policy it drew from rather than generating plausible-sounding text that may be wrong. When a question falls outside the bot's confidence threshold or requires human judgment — a legal question, an escalating complaint, an urgent service issue — it hands off to a live agent with full conversation context already transferred, so the customer does not have to repeat themselves. The bot is built on retrieval-augmented generation with continuous freshness pipelines, so answers stay current as your documentation changes. It operates across cloud or dedicated single-tenant infrastructure depending on your data sensitivity requirements.
Yes. Agaro's conversation bot grounds every reply in your knowledge base with citations, so users see not just the answer but the source document and section it came from. This is built on retrieval-augmented generation, where the bot queries your indexed content at inference time rather than relying solely on what a base language model was trained on. That distinction matters for enterprise accuracy: the bot answers from your current policies, product documentation, and internal knowledge articles, not from generic training data that may be outdated or irrelevant. Freshness pipelines continuously re-index updated documents, so a policy change or product update is reflected in bot answers without manual intervention. Supported source types include internal wikis, SharePoint, Confluence, PDF libraries, and structured databases. Citation-backed answers also reduce the compliance risk of deploying AI in regulated industries, because every claim is traceable to an approved internal source.
Agaro's conversation bot deploys across web, WhatsApp, Slack, Microsoft Teams, SMS, and any custom channel your organization uses via a standard REST API or native SDK. Channel configuration is centralized, meaning a knowledge base update or routing rule change applies across all active channels simultaneously without per-channel re-deployment. For organizations with standard cloud data requirements, Agaro provides a managed multi-tenant cloud deployment. For organizations in regulated industries or with strict data residency requirements, Agaro offers a dedicated single-tenant deployment where your data is processed and stored in an isolated environment with no shared compute surface. Custom channel integrations — including proprietary internal portals or industry-specific messaging platforms — are supported through the REST API, which follows standard authentication and webhook patterns familiar to most enterprise integration teams. Agaro provides integration documentation and a dedicated engineer for non-standard channel deployments.
Agaro measures conversation bot performance against four metrics from week one: self-serve resolution rate, customer satisfaction score, escalation accuracy, and revenue lift on commerce flows. Self-serve resolution rate — the share of conversations resolved without a live agent — typically lands between 60 and 78 percent at launch, depending on knowledge base quality and the complexity of the use cases in scope. CSAT captures caller or user satisfaction at the close of each conversation. Escalation accuracy measures whether the bot is routing to a human at the right moment — catching issues it should not attempt to resolve without flagging routine questions unnecessarily. Revenue lift tracks conversion on commerce flows where the bot assists with product selection, quote generation, or checkout. Agaro publishes a live performance dashboard from week one so client teams have direct access to these metrics without waiting for a monthly report.
Deploy conversation bot
in one engagement.
A 30-day pilot will show you the integration shape, the operator experience, and the audit trail your accreditor will ask about — delivered by a senior engineering team that ships AI to production.
Begin Pilot