The Loop Performance Gap Intelligence™ Product Economics About Request a Demo

We close the loop
other systems leave open.

Every mishandled call has a measurable cost. ROSIE knows what went wrong and solves it with Personalized Real-Time Assist (RTA), Post-Call Analysis, and Sim-Based Training.

Every agent, guided in real time according to their needs.
Every call analyzed, summarized, and scored.
Every performance gap turned into Sim-Based Training.
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The Loop

ROSIE turns a bad call into a better agent
without anyone in the middle.


Personalized
RTA
During the call
ROSIE surfaces the right prompt at the right moment - calibrated to this agent and this call.
Post-Call
Analysis
When the call ends
Evaluation runs. Performance gaps classified as Knowledge, Skill, or Attitude.
Sim-Based
Training
Before the next call
Sim-Based Training auto-generated from the gaps. Agent practices. Performance improves.
PGI

Your QA score tells you what happened.
Our Performance Gap Intelligence™ (PGI) tells you why.


Rooted in decades of learning science, Performance Gap Intelligence™ classifies every gap as Knowledge, Skill, or Attitude - because fixing a knowledge gap, a skill gap, and an attitude gap each require fundamentally different training.
K
Knowledge Gap
The agent didn't have the right answer.
S
Skill Gap
ROSIE surfaced the right answer. The agent didn't use it.
A
Attitude Gap
Correct execution.
Connection was absent.
The Product

See the loop in action.

Three components. One system that runs continuously - and gets smarter with every call.

Agent Workspace: Maria C. · Call #4821
LIVE
PERSONALIZED RTA

Real-time guidance, calibrated to this agent and this call.

ROSIE listens to the live call, compares against the agent's personal profile and scorecard, and surfaces the right prompt at the right moment. See the full animation on desktop.

Post-Call Analysis: Maria C. · Call #4821
✓ Wrap-Up Complete · 18s

Post-Call Analysis.

Performance Gap Intelligence™ · Auto-classification · Maria C.

PGI Active
AI Call Summary
Customer called to cancel due to $20 rate increase and competitor pricing. Agent acknowledged tenure, ran discovery, deployed competitor reliability data, and offered $89 rate lock. Customer placed 7-day hold. Script adherence: 4 of 5 steps completed.
Key Highlights
Retained: 7-day hold placed, customer reconsidering
Missed: Win-Back Seed - RTA card fired, agent didn't act
Gap classified: Skill (S) - agent had the prompt, didn't execute
QA Score: 82 / 100
Performance Gap Intelligence™
Gap Classification · This Call
S
Win-Back Seed - RTA fired at 02:33. Agent closed without planting win-back. Skill gap.
K
No Knowledge gaps this call
A
No Attitude gaps this call
Training Prescribed
Skill execution drill: Win-Back Seed scenario. Same RTA card fires in sim. Auto-assigned to Maria C.
3m 07s
0m 18s
~6 min
CRM Sync
Pushed
Summary, score, and KSA gap synced.
Disposition
Retention · Hold Placed
QA Score
82%
Gap Type
S - Skill Gap
Sim-Based Training: Maria C. · Auto-generated from Call #4821 · Skill Gap
Sim Active

Personalized. Targeted. Built from this call.

Agent: Maria C. · Scenario generated from Skill gap on Call #4821

S - Skill Drill
Voice SimulationRound 2 of 3
Auto-Generated · Skill Gap Drill
Win-Back Seed: Cancellation Call
Generated from Call #4821 gap: Win-Back Seed RTA card fired, agent closed without acting on it.
S Skill Gap - execution drill
AI Customer
Speaking
Last spoken
"Okay, I'll think about it. Thanks." [customer about to hang up]
ROSIE · Win-Back Seed Card
"If anything changes, ask for the retention desk - we can match this offer again."
Agent: Maria C.
Responding
Mute
End Turn
Hint
Live ScorecardUpdates after each response
81
/ 100
Session Score
Retention Sequence88
Win-Back Execution62
RTA Compliance74
Retention SequencePass ✓
Win-Back SeedNot Yet ✗
RTA Card UsagePartial
This Sim's Focus
Built from the exact moment Maria missed the Win-Back Seed on Call #4821. Same card fires here. Passing condition: card used before customer hangs up.

Let's do a demo: Live Call › PGI › Sim-Based Training

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The Economics

Example: For a 500-agent Contact Center (~6M calls per year)

$10M+ annual preventable cost.

$750K+

Labor savings

From reducing average handle time by 30 seconds.

$2M+

Reduced escalations

Better first-call resolution means fewer repeats and supervisor escalations - compounding across every queue.

$7.5M+

Savings from Reduced Errors

If just 5% of calls fail at ~$25 per incident - before counting the customers who leave.

Conversation quality is a controllable cost center.
ROSIE reduces preventable cost at scale.

Leadership

Serious product. Serious people behind it.

Careers built at the frontiers of communication science, digital innovation, design, AI, and simulation - across research labs, creative agencies, game studios, and contact centers.
All of it now a part of ROSIE.

Meet the team at connexions.studio →
The ROSIE Brand

What we learned
from humpback whales.

An epic connection loop that inspired the brand.

In April 2023, diving off Bermuda, three humpbacks swam to my friends and me - a mother, her calf, and a male escort. The calf, new to the world and encountering creatures it had never seen, kept swimming up to us, then back down to its mother. Up and down. Reaching out, checking in, returning. Not random. Not fearful. A loop of connection.

ROSIE is built on that principle, and that encounter inspires our brand. The feeling I had in the water that day - that's what we're trying to give people: the experience of truly connecting.

Read the full story →

- Adam Blumenthal, CEO

Photo by Adam Blumenthal

Get Started

Validate
in 30 Days.

We run a scoped, fixed-price pilot on a single high-volume queue. You define success metrics. We prove the loop works.

20–50 agent seats, 30 days on the floor
Aligned with your existing QA rubrics
Integration with your current telephony stack
Final readout: handle time savings, error reduction, and actionable QA Scorecards

We're running a limited number of paid pilots in Q3 and Q4 2026.

Reserve a Pilot Slot →