Illustrative scenario The people are fictional. The features are real.

For corporates & BPOs

They passed the English test. Then the phone rang.

Speaking Genie turns the conversations a team has at work into AI voice calls built from its own scenarios, gives sentence-level feedback after every call, and shows L&D hours, readiness and progress for each team member.

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Sample data. Use the buttons inside to move between screens.

OverviewDashboard
Admin UserAdmin · Your company
Good morning, Admin
Your company · 118 team members in 6 teams · Data up to today, 09:00
Average overall score
71
↑ 3 pts vs previous 30 days
Task completion rate
68%
↓ 4 pts vs previous 30 days
Team members improving
62%
73 of 118 raised their score
Team members at risk
8
↑ 2 vs previous 30 days
Score trend by skill
Workspace average per week, out of 100
Skill breakdown
Average score · change vs previous period
Range70↑ 4
Food, travel and work vocabulary are strongest
Accuracy72↑ 2
Past simple and articles remain the top errors
Fluency69↑ 5
Average pause length down from 2.1s to 1.7s
Pronunciation74↓ 1
th / s substitution up slightly in A1–A2
Group comparison
Performance per group for the selected period
Group
Trainer
Active
Avg score
Change
Completion
Status
Sales team
Business English · B1 · 22 members
Nour Hassan
91%
76
↑ 4
81%
On track
Team leads
Business English · B2 · 16 members
Ahmed Mostafa
88%
74
↑ 2
77%
On track
Tech support team
Business English · B1 · 12 members
Ahmed Mostafa
75%
73
↓ 1
64%
On track
Collections team
Business English · A2 · 26 members
Rana Samir
69%
66
↑ 1
58%
Watch
New hires
Business English · A1 · 18 members
Nour Hassan
61%
62
↓ 3
49%
Needs support
Sales teamBusiness English · B1 · 22 members76On track
Team leadsBusiness English · B2 · 16 members74On track
Tech support teamBusiness English · B1 · 12 members73On track
Collections teamBusiness English · A2 · 26 members66Watch
New hiresBusiness English · A1 · 18 members62Needs support
Team members at risk
Flagged by inactivity or score drops
Team member
Reason
Last session
Score
Rana Ashraf
Customer care team
No practice 12 days
Aug 6
58→
Karim Saleh
Customer care team
Score down 6 pts
Today
66↓ 6
Omar Magdy
New hires
Score down 11 pts
Aug 16
51↓ 11
Sara Nabil
Collections team
No practice 9 days
Aug 9
63→
Farida Magdy
Sales team
No practice 8 days
Aug 10
70↑ 1
Rana Ashraf
No practice 12 days
58
Karim Saleh
Score down 6 pts
66
Omar Magdy
Score down 11 pts
51
Sara Nabil
No practice 9 days
63
Farida Magdy
No practice 8 days
70
Most improved
Biggest score gains this period
Laila AdelSales team68 → 82↑ 14
Youssef TarekNew hires54 → 66↑ 12
Omar KhaledCustomer care team66 → 77↑ 11
Hana EzzatTeam leads70 → 80↑ 10
Karim SalehCustomer care team58 → 66↑ 8
Common speaking issues
Share of active team members affected
Past tense verb forms38%
45 team members
Th / s substitution27%
32 team members
Long silences mid-sentence22%
26 team members · New hires highest
Limited linking words18%
21 team members
Illustrative data

Dina

Fictional character

Head of L&D at a company that works in English

Her sales and engineering teams speak with clients abroad every week, in meetings, on calls and in tools.

On paper, the team is ready

Dina leads learning and development at a company whose clients are abroad. Her people read and write English every day, and most of them passed an English test when they were hired.

Classes and apps taught them general English. Their week is made of other things: a sales call where the client says the price is too high, an update to a client about an outage.

Where it breaks: the live conversation

The engineer who wrote a clear incident report goes quiet when the client asks, on the call, when it will be fixed. The salesperson who knows the product lets the price objection hang. Nobody doubts what they know. They have rarely had a safe place to say it out loud.

Proficiency isn’t the problem. Confidence is.

How Dina’s teams practice with Speaking Genie

Dina starts with one team on a free one-month pilot, with calls built from the team’s own material. The feedback is written as rewrites: an engineer who says “The system was down because of the database and now we fix it” sees “The outage was caused by a database issue. We’re fixing it now.”

  1. Set up

    Dina uploads the sales playbook and the product glossary. The curriculum builder turns them into calls by role, each with a clear goal.

  2. Call

    Team members take the call in the app at a time that fits their week. The AI partner plays the client.

  3. Review

    After each call, team members see what they said and a better way to say it. Dina sees hours, level and readiness per team member.

What changes

The hard conversations happen first in practice. Dina can show leadership who on each team is ready for client calls, with practice hours and progress next to the investment, and team members finish with a speaking-hours certificate HR can use in reviews and client assignments.

The investment is counted per team member. For example, 10 practice hours a month at 100 EGP an hour is 1,000 EGP per team member a month.Example: 10 h × 100 EGP. Try your own numbers in the ROI calculator.

Features used in this scenario

What a real customer says

Real customer
IMV Agency
  • 30 employees
In our agency, English is part of the job. Not in theory — in meetings, tools, and daily work. What I saw in Speaking Genie is exactly what my team needs: real practice, built around how we actually work.
Ali HassanCEO, IMV Agency

What it costs

60–120 EGP per practice hour, by volume

Free one-month pilot

Speaking Genie pricing: a lower rate at higher volume, with the exact rate quoted on the demo

See pricing
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Build practice calls from your team’s own work

On a 30-minute demo, the Speaking Genie team builds sample calls from your team’s real work and sets up a free one-month pilot with one team.

  • No credit card needed
  • Setup in under 5 minutes
  • Free pilot