Frontline Conversational Intelligence

Make everyIn Person conversationvisible.

Swiftlet.ai captures and analyzes real in person interactions, giving organizations continuous visibility into service quality, coaching opportunities, and employee performance.

Shifting from a conversation intelligence hub to an intelligence system built for real-world in person customer moments.

Field intelligence board

Today across 38 locations

Always on

Interactions captured

214

72 scored above target, 18 need manager follow-up.

Coaching queue

Greeting quality slipping in Dallas
Upsell language improving in Chicago
Three standout clips ready to share

Manager view

From conversation to performance, in one loop.

Built for operational visibility

Signal

Greeting compliance

64% this week, down 11 points in late shifts.

Coach next

Recover silent objections faster

AI found 27 moments to review before tomorrow’s standup.

Recognize

Maria’s closing sequence saved

Push it to every new hire as the model interaction.

85%

of in person interactions go unmonitored

1000x

more visibility than manual secret shoppers

Real-time

coaching on every interaction

Lower churn

from faster feedback and recognition

Replace manual secret shoppers

The problem and the fix.

Most customer interactions still happen outside the software stack. That leaves teams coaching from assumptions instead of reality.

85%

interactions never reviewed

92%

customers who leave silently

67%

staff with no regular coaching

78%

failures caught after damage

The old way

Limited visibility, high cost, low impact

A handful of visits per quarter create a tiny, unrepresentative sample.

Static reports show up after the customer experience is already over.

Subjective scoring makes it hard to coach consistently or recognize excellence.

The Swiftlet.ai way

Complete visibility, continuous improvement

Every shift, every location, every real customer interaction.

Real-time coaching instead of weeks-old summaries.

Objective scoring against your in person playbook.

Recognition for top performers built into the workflow.

Vision

Human interactions are becoming fewerand far more valuable.

Customer experience should be as visible and actionable as digital analytics. Swiftlet.ai brings that same rigor to every team working in person.

The analogy that says it all

Bringing “this call may be recorded” to in person teams.

For decades, contact centers improved service quality by recording, analyzing, and coaching from real customer calls. Swiftlet.ai brings that same model to physical teams so in person interactions become measurable, coachable, and improvable.

How it works

From conversation to performance.

A continuous loop that turns real customer interactions into measurable improvement.

01

Capture

Automatically record real in person customer interactions with wearables, mobile capture, or guided workflows.

02

Score

AI evaluates service quality, communication behaviors, and adherence to your in person standards.

03

Coach

Managers get targeted moments, trend signals, and feedback queues so coaching happens while it still matters.

04

Recognize

Top performers and repeatable winning behaviors become visible, shareable, and easier to reinforce.

Capture options

Capture fits the way your team actually works.

Swiftlet.ai is built for multiple in person recording workflows, from AI wearable integrations to software-first capture. That lets you choose the workflow that matches your environment instead of forcing one recording method on every team.

Bee • Omi • Limitless

AI wearable integrations

Connect Bee, Omi, and Limitless devices so wearable-captured in person conversations sync into Swiftlet.ai for scoring, coaching, and review.

Watch app

Swiftlet watch app

Start capture from the wrist for fast, accessible recording in live in person settings.

Native capture

Native on-device recording

Record directly in Swiftlet.ai on supported devices when your team needs a simple software-only workflow.

Platform

What managers and operators actually get.

Swiftlet.ai doesn’t just capture conversations. It turns them into an operating layer for in person visibility, coaching, and recognition.

Visibility leaders can trust

See what customers actually experience across locations, teams, and shifts instead of relying on sampled visits.

Coaching that scales

Replace week-old reports with daily coaching queues, clipped moments, and objective scoring.

Recognition that sticks

Surface what top performers do differently so excellence can be taught, repeated, and rewarded.

Reports managers actually read

Deliver daily digests, bad-interaction alerts, standout moments, and trainee watch updates by text, with AI follow-up when managers reply.

Weekly in person pulse

See what changed before the quarter slips.

Updated 9 minutes ago

Service quality score

MonSun

Top field signals

Greeting consistency improved 14% after coaching.
Closing language is strongest in location clusters with peer sharing.
Recovery moments still need attention in Saturday traffic spikes.

Coach this week

47

priority moments ready for managers

Recognize

12

winning clips saved to team playbooks

For leaders

Operational visibility across every location and manager.

For managers

Objective coaching queues instead of anecdotal feedback.

For brands

Standards become measurable across every shift.

Manager text reports

Insights can show up in a text, not only a dashboard.

Managers can get daily or weekly Swiftlet updates on their phone, choose exactly which alerts they want, and reply to ask follow-up questions. Swiftlet AI responds with the context behind the trend, so leaders can go deeper without stopping to dig through the dashboard first.

Choose daily, weekly, or event-driven updates based on location, team, employee, or training cohort.

Get notified when a conversation goes badly, when someone creates a great moment worth recognizing, or when a specific employee in training needs feedback.

Reply directly to the text to ask what happened, who was involved, or what changed, and Swiftlet AI answers in-thread with the relevant detail.

9:41
SA

Swiftlet AI

Today 9:41 AM

Manager update

Active updates: Daily digest • Bad interaction alert • Training watch

Daily digestBad interaction alertTraining watch
S

Swiftlet

42 conversations scored today. Service quality improved overall, but 3 high-risk interactions need coaching and Mia had 2 standout saves.

Which employee needs help first?

S

Swiftlet

Jordan. Two interactions missed the opening question and one recovery ended without a clear next step. I can break down each one.

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Ask Swiftlet AI for more detail...

How does Swiftlet.ai fit our in person workflow?

The platform is designed for in person teams. Capture can happen through wearables, mobile workflows, or guided recording setups, then everything rolls into one coaching and intelligence layer.

What does onboarding look like?

We align on your in person standards, configure scorecards, define the right capture motion, and stand up manager workflows so the system becomes operational fast.

Can we tailor the scoring to our business?

Yes. Scoring is built around your service expectations, sales behaviors, brand standards, and location-specific requirements.

Book a demo

Show your team what in person visibility actually looks like.

We’ll walk through your in person workflow, show how capture and coaching fit operationally, and map the rollout for your team.

Start the conversation

Tell us about your team, locations, and what you want to improve. We’ll follow up from support@swiftlet.ai.

Email support@swiftlet.ai
We typically respond within one business day.