Don't just automate replies.
Automate decisions.
Your bot already answers questions. It still hands you every refund, replacement and return-eligibility call — the expensive half. CXOps turns your policies into decisions it can make on its own, inside limits you set in dollars.
Free audit · no card · we read 3 months of tickets and tell you what's automatable
Every decision writes a receipt. Your team can read exactly why.
The ceiling isn't intelligence. It's authority.
Every AI support tool plateaus at roughly the same resolution rate. Not because the model can't understand the ticket — because nobody has told it what it's allowed to do about the ticket.
“Where is my order?”SOLVED EVERYWHERE
“What's your return policy?”SOLVED EVERYWHERE
“Can I return this if I've opened it?”ELIGIBILITY CALL
“It says delivered. I never got it.”MONEY DECISION
“The zip broke after three weeks — can I get a partial refund?”MONEY DECISION
The tickets that stay unautomated are the ones that move money. They're also the expensive ones — the ones that eat senior agent time and generate every escalation. A bot that answers questions but hands off every decision has automated the cheap half of the job.
Decide. Prove. Bound.
Three things, in that order. Skip the middle one and no CX lead will ever turn autonomy on.
It applies your policy
Refund, replace, credit, exchange or decline — judged on order value, customer history, claim count and tenure. Write the rule in plain English; we compile it into something the agent can execute.
On your tickets, before go-live
Replay any policy against thousands of your own past conversations. See what it would have auto-resolved, what it would have escalated, and how much money would have moved.
Autonomy priced in dollars
Full autonomy under $50. Conditional to $200. Human approval above. Daily spend ceilings, abuse detection on repeat claimants, and a receipt on every decision.
Test it on 10,000 real tickets. Then decide.
Point a policy at your ticket history and we replay it — matching each conversation against the rule, the order state at the time, and the customer's claim record.
We find the decisions your team is still making by hand
Everything the agent escalates gets clustered, matched against what your humans actually did about it, and turned into a proposed policy. You simulate it, then approve it — or you don't.
Tracking says delivered, customer says missing — over your $100 ceiling
Your agents approved 39 of 47 anyway, median order $138. Raising the ceiling to $150 catches all of them.
Damage reported after the 30-day window
Your returns page says 30 days. Your team honoured 24 of 31 past it. One of those two is wrong.
Partial refund requested, customer keeps the item
Median settlement 25% of order value. Policy #33 is drafted and simulated — not live.
Don't take our word for it.
Give us your last 5,000 tickets.
We'll show you what we'd have automated, what we'd have escalated, and how much money would have moved. Before you pay anything.