Test before launch
Simulate
Auto-generate scenarios & run calls
Evaluate
Metrics & transcript analysis
Optimize
AI-rewritten prompt improvements
Monitor in production
Monitor
Live production call observability
Co-Pilot
Deep analysis & what to fix next
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Co-Pilot

The intelligence layer for your AI conversations.

Co-Pilot reads every call and chat, finds why conversations go wrong, and surfaces the opportunities hiding in them. Ask in plain English and get a deep analysis, with the exact calls behind every number.

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A
Acme Health's Orga…
Owner
Platform
Dashboard
Test Agents
Co-Pilot
Metrics
Analytics
Prompt Optimizer
Evaluation
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Batch
Observability
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A
Alex Rivera
alex@acmehealth.com
Co-Pilot

Ask natural language questions about your call data.

New chat
Recent
Top fixes to lift resolution
Why callers hang up early
Requests the agent can’t handle
Objections before payment
Agent mistakes this week
Escalation reasons by agent
Where are we losing resolutions, and what should we fix first?
Deep read complete · 1,284 calls read · last 7 days

312 calls ended unresolved. Three fixable causes account for 71% of them. The biggest is a request the agent has no way to handle.

Opportunities · ranked by calls affectedof 312 unresolved calls
1
Missing workflowCustomers ask to reschedule a payment
Fix: Add a reschedule flow instead of transferring
118 calls38%
2
Caller objectionCallers think it is a scam at the greeting
Fix: State the company name and a callback number up front
63 calls20%
3
Agent mistakeBalance quoted before identity check
Fix: Verify identity before mentioning any account detail
41 calls13%
Ask anything about your calls…
Ask
AutoDataExplore

Deep analysis, not a sample

Reads every transcript in the period and returns exact counts.

Finds the why

Groups hundreds of calls into the few reasons that matter.

Surfaces opportunities

Turns objections, unmet requests, and agent mistakes into a ranked fix list.

Root causes

See why customers didn't get what they came for

Find out why each customer called, whether they got what they needed, and what got in the way. Across thousands of calls, in seconds.

Why each customer called, and whether it was resolved
Which calls left customers more frustrated than they started
The objections, unmet requests, and agent mistakes behind them
Customer names, phone numbers, and account digits stay out of it
Collections BotCall ID #482134:12 · Production
Partly resolvedSentiment negative → neutralFollow-up needed
Call reasonGot a letter about a past-due balance
Customer requestLower payment today
ObjectionMinimum payment too high
Agent mistakeMentioned the balance before verifying identity
OutcomePartial payment made, remainder due later
Next stepCallback on Thursday at 5 PM
job losspartial paymentbank transfer
Deep read

No metric for it? Co-Pilot reads every call.

Some questions only the transcripts can answer. Co-Pilot reads each one in the period, not a sample.

See the number of calls, time, and cost before it runs
Watch progress and an early answer as it reads
Get exact counts, with coverage stated
Save the result as a metric and track it from now on
How many callers mentioned a competitor's offer last month?
No metric tracks this yet, so I'll read the calls.
Conversations
1,284
Time
about 3 min
Cost
shown up front
Reading… 812 of 1,284Cancel
So far: 57 calls mention a competitor, most often a lower monthly rate.

What Co-Pilot finds

The opportunities hiding in your calls

Ask about any of these and get the calls behind every number.

Missing workflows

What customers ask for that the agent can’t do.

Which requests ended in a transfer?
Objections

What stops customers from saying yes.

Which objections cost us the most payments?
Agent mistakes

Where the agent slips, and how often.

Where does the agent skip identity checks?
Early hang-ups

Why customers leave before the call is done.

Why did callers hang up before paying?
Escalations

What pushes conversations to a human.

Why are calls escalating this week?
Trends & spikes

What changed, and the calls that explain it.

Why did resolution drop on Tuesday?

Try asking

Questions Co-Pilot answers every day

If your team asks it in standup, Co-Pilot can answer it from your calls.

⚡Latency
Which calls had the highest average latency?
🙋Interruptions
Where did the user interrupt the AI most?
💬Topics
What are the most common topics this week?
🔇Silence
Which calls had the most dead air?
📞Outcomes
Which calls were ended by the customer?
🚨Escalations
Why did escalations spike on Tuesday?
😊Sentiment
Which agent has the happiest customers?
🛡️Compliance
Did any call skip the required disclosure?
📉Trends
How is resolution rate trending this month?
🔁Repeat callers
Who called more than once this week?
💸Refunds
How many calls asked for a refund?
⭐Best calls
Show me our highest-rated calls
…or ask your own — Co-Pilot figures out the rest

Two sources, one co-pilot

Find opportunities before and after launch

Ask about live production calls, your test runs, or both.

Production calls

Observability calls

Every real customer conversation your agents handled in production — transcripts, latency, outcomes, sentiment, and tags, all queryable.

What are customers asking for that the agent can’t do?

Test & scenario runs

Scenario runs

Every simulated call from your batches and scenario suites — ask how a release behaved in testing before it ever reached a customer.

Which scenarios still end unresolved after the new prompt?

…or ask across both at once.

Every answer is ready to act on

Share it, track it, or dig into the calls behind it.

Charts and tables

Trends and breakdowns, with any table exported to CSV.

The calls behind it

Open any cited call to read its transcript.

Save as a metric

Turn a finding into a metric that runs on every new call.

Saved threads

Ask follow-ups and pick up any analysis where you left it.

How it works

A question in, a fix out

1

Ask in plain English

Type any question about your calls — no query language, no setup.

2

Co-Pilot picks the route

It answers from what it already knows about your calls, or reads every transcript when it has to.

3

Act on what it finds

Get the reasons ranked by calls affected, with the calls behind each one.

Find your next fix.

Point Co-Pilot at your calls and chats and see what is costing you resolutions.

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