50% resolution in 30 days. Or every dollar back. See the guarantee →

How it works

Your entire CX team, in AI.

Boss AI
CX Manager AI
Sets up agents, updates policies, monitors quality
Customer AI
Your frontline. Resolves conversations, follows SOPs, escalates when unsure.
70–80%
autonomous resolution
Agent AI
Your team's copilot. Auto-research, draft replies, execute actions.
5x
agent throughput
QA Agent
Independent evaluator. QCs every conversation, sends findings back to the CX Manager.
100%
conversations reviewed

Day zero · the boss AI builds the team

How CX Manager sets up your AI team.

Before Customer AI takes a single ticket, the boss AI spends the first 20 minutes ingesting your past tickets, your Trustpilot reviews, your Reddit threads, and your help center. Then it drafts SOPs for Customer AI, configures escalation logic for Agent AI, and writes the quality rubric for the QA Agent. By the time the team takes its first ticket, every agent below already knows your business as well as your best human.

app.richpanel.com/cx-manager
CX Manager · researching your business
Importing from your existing helpdesk
386,412past tickets imported
#2847Where is my order?Tracking
#2846Pause my next boxSubscription
#2845Refund please, arrived damagedRefund
#2844Wrong flavor in this deliveryLogistics
#2843Cancel my subscriptionRetention
Analyzing Trustpilot reviews
1,247reviews · brand voice extracted
★★★★★ 4.6 average rating
Sarah M. ★★★★★
“Worth every penny, felt like talking to a real person who actually listens.”
Marcus T. ★★★★★
“Hands-down the best support I’ve ever had. Refund processed in two minutes.”
Scanning Reddit threads
84threads · objections + pain points
u/anon_2847 · r/category
“Anyone else find the chocolate flavor too earthy? Considering switching brands…”
▲ 142 upvotes
u/wellness_dad · r/category
“Pro tip: their vanilla bean blend is way better than the original chocolate.”
▲ 87 upvotes
u/jamielee · r/category
“Is the auto-renew confusing for anyone else? Got billed twice last month.”
▲ 53 upvotes
Ingesting your help center & product guides
24articles · all your policies
📦Returns & refunds
🚚Shipping windows
🔄Subscription pause
💳Payment issues
🥦Product FAQ
⏳Order changes

Four research sources, twelve seconds. The briefing every agent below reads before its first ticket.

Under the hood

How we make "never hallucinate" actually true.

Other AI tools hand-wave about safety. Here's what we actually do:

Strict evals before go-live
Every model goes through thousands of battle-tested simulations before serving a single customer.
Second AI pass for quality
A separate QA layer reviews every response before it reaches your customer. Two systems checking each other.
Deterministic tool execution
The AI decides what to do. A separate system executes it. Never touches PII or credentials.
Escalation, not guessing
When uncertain, it routes to a human. Every time. No "best guesses" that cost you a customer.
app.richpanel.com/customize/tools
Tool permissions, every tool the AI can touch, with explicit allow or require-approval per action

Every tool the AI can touch, read-only or write, with explicit allow / require-approval rules.

Continuous Learning

Your AI gets smarter from every conversation.

Other AI tools launch, then flatline. Richpanel learns from every session. Autonomously and from your team's corrections. Every correction, every SOP gap, every missing integration is captured, surfaced, and turned into new behavior the next week.

01
AI Missteps
"Had instructions, didn't follow them."
Your SOPs were clear. The AI just missed the mark. We flag the deviation so you can monitor or retrain.
02
SOP Gaps
"Customer asked something with no playbook."
No SOP covers this scenario. We surface the gap and suggest what to write, so next time the AI knows.
03
Missing Tools
"Agent checked a system the AI can't access."
Your agents had to look something up manually. We flag the integration opportunity so you can extend your AI's reach.
app.richpanel.com/customize/learning
Learning Insights page, flagged corrections and SOP gaps surfaced from the last 7 to 30 days

Where every learning lands: tracked, scored, and ready to apply.

Detection

Two signal sources. Zero blind spots.

Agent-corrected
Your team rejects, modifies, or overrides the AI. Each correction becomes a learning signal.
Auto-detected
Our quality engine spots customer friction, resolution gaps, and hallucination risks, even when no human is watching.

The loop

Detect. Surface. Fix. Measure.

Detect
→
Surface
→
Fix
→
Measure

Every insight is tracked for 14 days after implementation. You see before/after signal counts. No guesswork.

Confidence scoring built in.

More signals of the same type = higher confidence. A pattern that shows up across multiple sessions and agents is real. A one-off is noise. You always know how sure we are.

Low
High
Single signal Multiple signals

The payback

You've seen how it works. Now see what it saves.

Plug in your numbers. Every dollar, every model, every resolution rate is transparent. 50% resolution in 30 days, or your money back.

See pricing & ROI → Or see it built live · 20 minutes