// Monthly Plan
forecast —
// Notifications
Processing complete
87 calls processed by AI engine
2 min ago
Anomaly detected
Brown T. — sharp drop in score (-1.8)
14 min ago
New report ready
Weekly performance report
1 hour ago
Trigger fired
Brown T. — score 1/10 · Email to manager + SMS to client
28 min ago
/
Role:
// Period
Last 30 days

Calls & Coaching

// Calls · Real-time · Benchmarks

// Total in DB
8 432
+214 today
// Processed by AI
7 891
93.6% of base
// In queue
87
~3 sec/call
// Avg score
7.8
out of 10.0 · +0.3 this week
In queue: 87 calls
// AI is analyzing recordings · ~3 sec
// FILTERS
DATE ↓ MANAGER DEPT DEAL DURATION SCORE STATUS ACTIONS
// Top-scored calls — serve as reference for the AI coach when building coaching cards

Analytics

// Reports · Teams · Behavior · Profiles · Unit Economics

// Total calls
30 days
// Avg score
out of 10.0
// Conversion
company avg
// Revenue (contracts)
open + closed
Manager ranking · 30 days
Calls over 30 days
Avg score (top-15)
Score & conversion trend · 30 days
Score distribution
0-4:
4-6:
6-8:
8-10:
Detailed manager ranking
RANKMANAGERDEPTCALLS AVG SCOREMAXCONVERSIONTREND
Department comparison
Activity by day of week
Conversion vs Quality · top managers

Client behavior model

// Client behavior pattern analysis based on 7,891 calls

// Deal conversion
23.4%
+2.1% this quarter
// Avg deal cycle
14
days to close
// Repeat contact
67%
targeted clients call back
// Top objection
Price
312 mentions
Sales funnel
First contact
7,891 calls100%
7 891
-22% ↓
Needs discovery
6,155 conversations78%
6 155
-25% ↓
Presentation
4,182 presentations53%
4 182
-18% ↓
Objections
2,762 dialogues35%
2 762
-11.6% ↓
Close
1,847 deals23.4%
1 847
Activity by hour
Objection frequency
Client retention
Engagement patterns

Psychological profiles

// AI client classification by communication style

// Analyst
28%
2,209 clients
// Driver
22%
1,736 clients
// Expressive
18%
1,420 clients
// Amiable
32%
2,524 clients
🔬
Analyst
28% of clients · Conversion 31%
Rational type. Makes decisions based on data, facts and evidence. Asks many clarifying questions. Values accuracy and detail.
FactsROI ComparisonData
// Recommendation
Provide numbers, case studies with concrete results, ROI calculations. Don't rush the decision. Give time for analysis.
🚀
Driver
22% of clients · Conversion 28%
Results-oriented type. Values speed and specifics. Dislikes long conversations. Wants to quickly understand the offer and benefit.
ResultSpeed ClarityControl
// Recommendation
Short pitch focused on results. Respect the client's time. Offer fast solutions and a clear action plan.
🌟
Expressive
18% of clients · Conversion 19%
Emotional type. Inspired by vision and the big picture. Loves success stories. Makes decisions based on emotions and intuition.
VisionStories EmotionsInnovation
// Recommendation
Paint a picture of the future. Share success stories of other clients. Show enthusiasm. Highlight the innovation of the solution.
🤝
Amiable
32% of clients · Conversion 21%
Relationship-oriented type. Values trust, reliability and comfort. Avoids conflict. Needs support and security guarantees.
TrustGuarantees SupportComfort
// Recommendation
Build trust through empathy. Provide guarantees and support. Don't pressure. Show care for the client and long-term partnership.
Profile distribution
Manager effectiveness by profile type

Team & department profiles

// Manager archetypes · strong and weak zones by department

Expert
Deep product knowledge. High score, slower pace, lots of follow-up reminders.
Driver
Fast and assertive. High conversion, average score, short calls.
Facilitator
Builds trust and long-term relationships. High NPS, average conversion.
Script follower
Strictly follows the script. Low improvisation, stable but average performance.

Unit economics

// Key financial metrics · Oct 2025 – Mar 2026

// LTV / CAC
7.8x
+0.6x this quarter
// LTV
258K
258,000
// CAC
33K
33,000
// ARPU
17.8K
17,800 / mo
// Churn rate, %
3.2%
-2.0% in 6 months
// Payback period, mo
1.9
months to payback
// Clients
602
+88% in 6 months
LTV vs CAC
ARPU trend
Churn rate, %
Cohort analysis
Monthly summary
MONTHCLIENTSREVENUEARPU LTVCACLTV/CACCLOSED

AI Recommendations

// Personalized recommendations based on analysis of 7,891 calls

Priority recommendation
Implement the "Price is too high" objection handling script — this will increase conversion by 4-6% in 2 weeks. 312 calls with this objection, current conversion 11%.
CRITICAL
Brown T. — performance drop
Avg score dropped from 8.7 to 6.9 over 3 weeks. Key issues: skipping needs discovery stage, shorter call duration.
Impact: -12% dept conversion
WARNING
Presentation script is outdated
72% of managers deviate from the script during the presentation stage. Avg score for "Product presentation": 7.0/10 — below target.
Impact: -8% conversion
GROWTH
Nolan E. — best progress
Avg score grew from 7.1 to 8.4 over a month. Objection handling (+2.1) and deal closing (+1.8) improved most.
Use as example
INSIGHT
Optimal call time: 9–11 AM
Call conversion at 9:00–11:00 is 34% higher than afternoon. Recommended to redistribute manager workload.
+5% to overall conversion
WARNING
Support — long calls
Avg call duration in tech support is 40% above norm (7:12 vs 5:10). Reason: no knowledge base for common questions.
-15% productivity
GROWTH
Cross-selling: untapped potential
Only 8% of managers offer additional services. AI identified 1,240 calls with high upsell potential.
+22% to avg ticket
AI weekly summary
+2.1%
Conversion growth
+0.3
Avg score
-18sec
Processing time
4
Anomalies
New research
// Request to Research Desk AI agent · result will be saved to history

Department

//

Team members

KPI — dept & managers

Scoring criteria & prompt

Settings

// Profile · Integrations · Automation · AI background processes · Scripts · Audit

Administrator & period
Escalation contacts and billing period parameters
Scoring criteria
Configure call scoring criterion weights
Greeting 15%
Needs discovery 25%
Product presentation 20%
Objection handling 20%
Deal closing 10%
Script adherence 10%
Integrations
Connected services and data sources
Telephony (Asterisk)
Connected
📊
CRM (Bitrix24)
Connected
💬
Telegram bot
Not connected
📧
Email notifications
Connected
Notifications
Manage notification rules
Low call score
Notify when score drops below 5.0
Behavior anomaly
Sudden change in manager metrics
Weekly report
Auto-generated every Monday
Processing queue
Notify when queue exceeds 50 calls
Departments, criteria & AI prompts
Manage company structure and call analysis parameters for each department
🔑 AI model key
OpenAI GPT-4o
Criteria & weights Total: 0%
// When weights change, the final call score is recalculated for all department managers
Manager roster
Names, departments, archetypes · used in filters and comparisons
NameDeptEmailArchetypeStatus
Roles & access
Permissions model · activated in enterprise release
demo mode
Admin
Full access, user management, audit
1 user
Department Head
Own managers, own KPIs, team coaching cards
0 · in development
Manager
Own inbox, own calls, own coaching
0 · in development
View only
Dashboard, reports, no editing
0 · in development
Incident scenarios
Launch an animated demo of agent orchestration
Manager conversion drop
Fact agent detects the drop, Risk escalates, Nudge sends a tip, Coach prepares a card
Marketing spike
Forecast improves prediction, Coach records a benchmark technique to the knowledge base
// Active rules
6
of 8 configured
// Fired today
14
+3 vs yesterday
// Emails sent
9
to managers
// SMS sent
5
clients with promo code
RULE CONDITION ACTIONS FIRED LAST STATUS
Critical score
// Bankruptcy Practice · All managers
Score < 2
✉ Email to manager ✏ SMS to client +promo ☐ Task to manager
23 times 28 min ago
Low score
// All depts · All managers
Score < 5
✉ Email to manager ☐ Task to listen
87 times 1h 12m ago
Stop word
// All depts · All managers
Stop word in call
✈ Telegram to manager ☐ Mark in call card
12 times 3h 44m ago
High score
// Bankruptcy Practice · All managers
Score ≥ 9
▶ Move deal ☐ Tag «Benchmark»
61 times Today, 10:14
Client conflict
// All depts · All managers
Negative emotion > 70%
✉ Email to senior manager ▶ Auto callback +2h
8 times Yesterday, 16:33
Script violation
// Bankruptcy Practice · All managers
Script < 60%
☐ Task for training
34 times Yesterday, 11:05
Repeat contact
// Support · All managers
Client calls ≥ 3 times
▶ Escalate to expert ✏ SMS about transfer
Inactive
After-hours missed
// All depts · All managers
Missed outside hours
✏ Apology SMS to client ☐ Task to call back
Inactive
14:03
Critical score
Brown T. · Bankruptcy Practice · Score 1.0/10
✉ Email → Foster I. (head) ✏ SMS → +7 9** ***-**-23 · ECHO500 (promo) ☐ Task → Brown T. · Script refinement
✓ Done
13:41
High score
Carter A. · Bankruptcy Practice · Score 9.4/10
▶ Deal → next funnel stage ☐ Tag «Benchmark» added in CRM
✓ Done
12:58
Low score
Peters A. · Call Center · Score 4.2/10
✉ Email → Stevens O. (head) ☐ Task «Listen to the call from 12:58»
✓ Done
12:11
Stop word
Olsen S. · Support · Detected: «not our problem»
✈ Telegram → Support lead ☐ Flag in call record
✓ Done
11:32
High score
Nolan E. · Bankruptcy Practice · Score 9.1/10
▶ Deal → next funnel stage ☐ Tag «Benchmark» added in CRM
✓ Done
10:57
Script violation
Brown T. · Bankruptcy Practice · Script 38%
☐ Task «Complete the script training»
✓ Done
10:40
Critical score
Coleman M. · Support · Score 1.8/10
✉ Email → Nichols T. (head) ✏ SMS → +7 9** ***-**-81 · ECHO500 (-$6) ☐ Task → Coleman M. · Script refinement
✓ Done
09:45
Client conflict
Coleman M. · Support · Negative 78%
✉ Email → senior manager ▶ Auto-callback scheduled for 11:45
✓ Done
Morning Digest
Automated broadcast of key metrics and events
Send time
Timezone
Days of week
Recipients
Delivery channels
Digest contents

AI Background Processes

// 4 background processes + 3 agents · running 24/7

Single-step AI functions triggered by events or schedule

Multi-step systems with tools, memory and a planning loop

Researcher — ad-hoc queries
Ask any question about team data. The agent will perform multi-step analysis and return a structured report.
Technical log LIVE
Time Agent / Process Type Description Duration Status
Saved
Required keywords
// If the manager doesn't say these phrases — the criterion score drops
Stop words
// Triggers an automatic notification to the manager
TimeActorEntityActionDescription

KPI & Goals

// Goals · Cascade · Management cycle

Now in the system
Monthly goal cascade
AI distributes the plan across departments, managers and products.
View cascade →
Who won't hit KPI
The system already sees who is at risk and who is off-track.
Open forecast →
AI coach is already running
Nudges, escalations and reference-call assignments happen without manual triggering.
AI background processes →

Forecast

// Predictive analytics · Risks · Team comparison

By department
By manager · who won't hit KPI
# Manager Dept Archetype Calls Score Conv. Next steps Rank
PIPELINE
BEST CASE
COMMIT

Executive Dashboard

// Key highlights for the day · Q2 2026

0%
System readiness
Complete the setup wizard to launch the AI KPI cycle
// Period plan
// Conversion
// Avg score
// Processed by AI today

Top risks now

// updates in real time

Top actions for today

// from inbox with priority 1-2

Department comparison

// plan vs actual vs forecast

Forecast Q2 2026

// plan · forecast · deals
PIPELINE
$268K
17 deals
BEST CASE
$92K
6 deals
COMMIT
$139K
8 deals
Quarter plan$278K
Forecast (Commit + Best)$231K
Delta to plan−$47K

Inbox

// All tasks and signals for managers in one stream

Knowledge

// Knowledge base · Research

Select a research or create a new one
The prompt can be anything: "why did conversion drop", "compare manager archetypes", "find best practices in calls > 8 score". The Research Desk AI agent will compile a report from the database.

Agents

// 4 background processes + 3 agents · running 24/7

Single-step AI functions triggered by events or schedule

Multi-step systems with tools, memory and a planning loop

TimeAgentTypeDescriptionIncidentStatus
Researcher — ad-hoc analysis
Ask any question about team data. The agent performs multi-step analysis and returns a structured report.

Deals & Accounts

// CRM · Kanban · Accounts · Full history per deal

Deal Client Manager Stage Amount Score Activity Urgency Next step
// Funnel by stages
Loading...
// AI summary
// Score trend by calls
Create
Morning digest
What changed since yesterday
Call details
ID: a3f8d2e1-c470-4b55-9a30-de05658b4e5d  ·  Status:
// Manager
--
// Date & time
--
// Duration
--
--
/ 10
// Scoring criteria
0:00 / --
62%
28%
10%
Positive 62% Neutral 28% Negative 10%
Period summary report
// Plan → Actual → Risk → Actions · auto-generated from Supabase data
Close period
// Lock results · goals transition to "closed" status
Upload call · AI analysis
// Supports mp3, wav, ogg · up to 100 MB · 15+ parameters analyzed
Drag audio here or browse file
mp3 · wav · ogg · up to 100 MB
// Demo: file is not actually sent. Analysis is simulated using the reference scoring model.
New automation rule
// Condition fires on every new call
Actions
New KPI goal
// System updates progress and forecast daily
Integration setup
// In demo mode connection is simulated
Export data
// Select export format