Entrepreneur
Founder / Owner
0–50 employees, speed matters more than anything
Monday morning
You open 4 Excel sheets and wait for reports from the team to understand what happened last week.
You open Azuvio: sales, available cash, pending orders, and top clients — visible in 30 seconds.
Weekly reports
3h → 15min
Cash-flow visibility
×3
Big offer, new client
You send the offer manually, track its opening via email, forget to follow-up on time, and lose the opportunity.
The offer is sent from the platform, you receive an alert when it's opened, the follow-up happens automatically at your set interval.
Offer → order conversion
+28%
Lost orders
−40%
Tight cashflow
You don't know exactly how much you're due to receive and how much you have to pay. You discover the problem at the bank, not beforehand.
Cashflow dashboard with overdue invoices, planned receipts, and automatic alerts if the balance drops below a threshold.
Real-time cash visibility
100%
At the bank
−0 surprises
Hiring the first manager
The recruitment process is chaotic: CVs in email, verbal feedback, decisions based on intuition.
Visible recruitment pipeline in the platform, with stages, structured feedback, and decisions based on clear criteria.
Recruitment time
−40%
Hiring decision quality
+2×
Rapid scaling
Processes that worked for 10 employees break down at 30. Operational chaos with each new level.
Documented and automated workflows in the platform. Scale your team without reintroducing chaos.
Onboarding speed for new employees
+55%
Operational capacity
×3
Large client, urgent request
A large client requests a customized offer urgently. You manually build it from multiple files, send it after 2 days.
The offer is automatically generated from the catalog, prices, and customer history. Sent the same day, with automatic tracking.
Offer generation time
−80%
Urgent offer win rate
+45%
CEO
General Manager
50–500 employees, you need control without bureaucracy
Weekly board meeting
You await reports from 4 managers, consolidate in Excel, present at 11:00 AM with Friday's data.
You open the Command Center: live KPIs, active alerts, and automatically prepared forecast scenarios.
Time in reporting meetings
−70%
Board-pack instead of 2 days
2 hours
Operational problem
You learn about a problem from an upset customer. You send emails, await responses, reconstruct what happened.
The AI alerted you 2 days in advance. You intervened directly from the platform before it reached the customer.
Decision speed
+35%
Instead of 5+ systems
1 screen
Profitability analysis
You don't know which customers, channels, or products generate real profit. Decisions based on turnover, not margin.
Visibility into profitability per customer, product, channel, and team — updated in real time.
Visibility per product / channel
100%
Financial data
Real-time
Negotiation with investors / bank
You hastily prepare materials, with data from different months. Investors ask questions you can't answer instantly.
Financial deck automatically generated with updated KPIs, growth scenarios, and projected cash flow.
Material preparation
−3 days
Investor confidence
+40%
Expansion decision
Expansion decisions into new markets are based on feeling, without risk models or simulations.
Expansion scenarios simulated with real cost, demand, and operational risk data. Decisions in days, not months.
Expansion analysis speed
×5
Decision risk
−35%
Team performance management
You evaluate the team annually, based on perceptions. There's no clear correlation between effort and results.
OKRs and KPIs tracked live per department. Continuous feedback, not once a year.
Team productivity
+28%
KPI visibility per team
Real-time
Sales / CRO
Sales Director
Predictable sales, real forecast, clear pipeline
Monthly forecast
Forecast based on sales managers' feeling. 30–40% inaccurate compared to reality.
AI analyzes history, seasonality, and customer behavior. Forecast with 90%+ accuracy.
Forecast accuracy
+31%
Prediction precision
90%+
Customers at risk of churning
You find out a customer is leaving when they've already signed with the competition.
Automatic alert at the first signs: rarer orders, decreasing average value, longer payment time.
Churn rate
−25%
Opportunity identification speed
×2
Field Resource Allocation
Agents visit clients based on personal preference, not commercial potential.
Automated prioritization based on potential, risk, and purchase history. Agents go where it matters.
Sales Team Productivity
+18%
Automated Agent Routing
Smart
New Client Onboarding
The new client goes through a slow process, with documents via email, and no status visibility.
Digital onboarding flow with clear steps, electronically signed documents, and automated notifications.
Client Onboarding Time
−60%
New Client Satisfaction
+33%
Sales Team Performance Report
The sales manager manually compiles reports from CRM, telephony, and ERP. It takes 2 days.
Live dashboard per agent: calls, offers, conversions, pipeline value. Updated in real time.
Reporting Time
−2 days
Performance per Agent
Live
Cross-sell / Upsell Campaign
You don't know what additional products existing clients might buy. Systematically lost opportunities.
AI identifies buying patterns and automatically recommends cross-sell opportunities per client.
Revenue per Existing Client
+22%
Automatically Identified Opportunities
×4
Large Contract Negotiation
You negotiate without visibility into the client's exact history: discounts granted, real margin, disputes.
Complete client file available instantly: transactions, margin, payment behavior, previous interactions.
Negotiated Contract Margin
+15%
Complete Customer History Access
1 click
Purchases
Purchase Manager
Optimal inventories, high-performing suppliers, controlled costs
Order Planning
Orders based on estimates. Overstock on some products, stockouts on others.
Automatic replenishment recommendations based on actual consumption, seasonality, and supplier lead time.
Value of immobilized inventory
−35%
Stockouts
−22%
Supplier Evaluation
You don't have a clear picture of who delivers on time, who has quality deviations, or who is the most expensive.
Supplier scorecard with deliveries, prices, quality, and complaints — automatically updated from orders.
Supplier Performance Visibility
×3
Purchase Savings
+15%
Stock Urgency
You find out you have a stockout on a key sales product from sales, not from purchasing. You've already lost orders.
Automatic alert at the reorder point. Emergency orders can be issued directly from the platform.
With automatic alerts
0 stockouts
Order issued from platform
Direct
Supplier Contract Negotiation
You negotiate without clear data on past volumes, error rates, or price history.
Complete report per supplier automatically generated: volume, prices, quality, deliveries. Negotiate with solid arguments.
Negotiation Savings
+12%
Report per supplier
1 click
Returns Management
Returns are processed manually, disconnected from original orders. Uncontrolled losses.
Integrated returns flow: automatically linked to order, supplier, and reason. Visible costs per category.
Returns processing time
−45%
Return → supplier traceability
100%
Procurement budget vs. actual
You discover you've exceeded the procurement budget at the end of the quarter, when it's too late to do anything.
Live monitoring of budget vs. actual by procurement categories. Automatic alert at 80% consumption.
Uncontrolled budget overruns
−20%
Procurement budget visibility
Real-time
Seasonal Sourcing
You manually estimate seasonal needs based on experience. Resulting in either costly overstocks or stockouts.
AI models seasonal demand from 3 years of history and recommends optimal orders 8 weeks in advance.
Unsold seasonal stock
−30%
Seasonal demand forecasting
8 weeks
Logistics
Logistics Manager
On-time deliveries, optimized transport costs
Daily Delivery Planning
Dispatch plans manually, with calls and paper sheets. Suboptimal routes, high costs.
Automatic grouping of orders by zones, delivery windows, and vehicle capacity.
Cost per delivery
−28%
Daily planning time
−40%
Urgent Order
You don't know in real-time where the vehicle is, or if you can add an urgent delivery without ruining the whole plan.
Live visibility on the fleet and available capacity. You insert the urgent delivery at the most efficient point of the route.
On-time delivery rates
+94%
Capacity per dispatcher
×2
Customer Complaint
The customer calls because they didn't receive their order. You reconstruct the route through emails and physical files.
Complete delivery history: schedule, driver, receipt confirmation, route deviations — in a few clicks.
Complaint response time
< 2min
Delivery traceability
100%
Uncontrolled transport cost
You don't know the real cost of each delivery. Carriers invoice, you pay without verifying.
Cost per delivery automatically calculated and compared with contracted rates. Deviations are flagged instantly.
Non-compliant transport costs
−18%
Automated invoice verification
100%
Returns Management
Returns are processed manually, without a clear flow. Products sit in the warehouse without allocation.
Automated return flow: product scanned, stock updated, customer notified, supplier informed.
Returns processing time
−50%
Post-return customer satisfaction
+25%
Peak Season
During peak periods (Christmas, Black Friday), the fleet is insufficient, and planning fails.
AI predicts volume 4 weeks in advance. You contract additional capacity in time.
Peak capacity covered
+40%
Delivery volume anticipation
4 weeks
Driver Performance
You lack clear data on individual driver performance: missed deliveries, fuel consumption, deviations.
Driver dashboard: completed deliveries, consumption, incidents, customer satisfaction. Data-driven coaching.
Fuel Consumption
−15%
On-time deliveries per driver
+30%
CFO
Chief Financial Officer
Real-time financial visibility, no manual reconciliations
Monthly Close
3–5 days of manual reconciliations between systems. Conflicting data, team pressure, inevitable errors.
Sales, inventory, and operations data flow in automatically, reconciled. Close in 1 day.
Reconciliation Time
−60%
Close in 1 day instead of 5
1 day
Cashflow forecast
Excel-based cash flow forecast updated manually. 20–30% inaccurate compared to reality.
Predictive model based on real data: invoices, payments, orders, and contracts. 90%+ accuracy.
Financial forecast accuracy
+90%
Operational Risk Exposure
−45%
Board / Bank Report
3 days to prepare materials from different sources. Data in the report is already old when presented.
Report automatically generated with current day's data. Stress-test scenarios prepared in minutes.
Board report generated
Automated
Current day's data
Live
Receivables Monitoring
You manually track unpaid invoices. Some slip through filters; companies ignore or delay payments.
Automated due date alerts, customer payment history, and recommended collection actions.
Days Sales Outstanding (DSO)
−38%
Forgotten unpaid invoices
0
Cost analysis per profit center
You don't know which department, project, or product line is losing money. Everything is mixed up in accounting.
Automatically updated P&L per cost center. Identify margin leaks in seconds.
Visibility per profit center
+45%
Updated P&L
Daily
Annual budget planning
Budgeting takes 6–8 weeks, with dozens of Excel versions sent and received via email.
In-platform collaboration: each manager completes their budget, consolidation is automatic, and history is preserved.
Budgeting process time
−50%
Truth instead of dozens of files
1 source
Internal fraud risk
You lack visibility into unusual transactions. You only detect fraud after an external audit.
Automated monitoring of abnormal patterns: atypical approvals, duplicates, round sums, new suppliers.
Anomaly detection time
−80%
Alert before damage
Proactive
COO
Chief Operating Officer
Standardized processes, eliminated bottlenecks, optimized cost
Identify bottlenecks
You find out a workflow is blocked when the client complains or when the deadline is missed. It's already too late.
Live monitoring of all processes. Automatic alert when a step takes longer than the defined SLA.
Time lost due to bottlenecks
−40%
Anomaly identification speed
×4
Process standardization
Each team does things differently. Impossible to compare performance or scale.
Standardized workflows configured in the platform. Deviations are visible and traceable.
Speed of new process onboarding
+55%
Operational cost per unit
−30%
Monthly operational report
You collect data from 6 systems, consolidate manually, present with 2-week-old data.
Live operational dashboard. The report is generated automatically with current day data.
Operational dashboard
Live
Manual data collection
0 hours
Insufficient capacity at peak
During peak periods, resources are overloaded. You find out about the problem when employees burn out, not before.
Live capacity model: team availability vs. projected workload. Real-time reallocation.
Overload episodes
−40%
Resource utilization
+25%
Missed SLAs
You find out you've exceeded an SLA from the client's monthly report. You've already been penalized.
Real-time SLA monitoring for each order and client. Proactive alert 24h before exceeding.
SLA overruns
−70%
Alert Before Exceeding
24h
Increasing Operational Costs
Costs are increasing without you knowing exactly which activity is responsible. Reduction measures are taken randomly.
Automatic breakdown of operational costs by activity, department, and product. Quickly identify inefficiencies.
Unnecessary Operational Costs
−22%
Cost Breakdown
Real-time
Customer Service Quality
You don't know how many customers are dissatisfied until complaints arrive or until they leave.
NPS and satisfaction continuously tracked, correlated with order type, team, and period.
Average NPS
+18 points
Intervention at the first signs
Proactive
CMO
Marketing Director
Real Attribution, Proven ROI, Justified Budget
Board Meeting
You present impressions, clicks, and reach. The board asks about revenue. You have no answer.
Dashboard with complete attribution: from channel to sale. You know exactly which campaign generated what revenue.
Marketing Contribution Visibility
+52%
Campaign ROI
+35%
Marketing Budget Optimization
You allocate your budget based on intuition and pressure from media suppliers. Efficiency is uncertain.
Cost per lead and cost per acquired customer for each channel, updated in real time.
Qualified Lead Cost
−40%
Budget Optimization
Real-time
New Product Launch
You launch the campaign and wait 2–3 months to see if it worked. The reaction is slow, the cost is high.
Real-time monitoring of campaign → lead → sale conversion. Optimize in the first week.
Campaign Optimization Speed
×3
First Optimization
Week 1
Audience Segmentation
You send the same messages to all customers. Open rates drop, unsubscribes increase.
Automated segmentation by buying behavior, industry, and funnel stage. Relevant messages per segment.
Email Open Rate
+65%
Unsubscribes
−30%
External Agency Reporting
You receive colorful reports from the agency, unrelated to actual sales. You cannot validate efficiency.
Agency data flows directly into the platform and is correlated with the sales pipeline and generated revenue.
Agency ROI Transparency
+45%
Manual Report Reconciliation
0 hours
Existing Customer Retention
You lack a clear retention strategy. The customer leaves, and you find out from the CRM that they haven't purchased in 6 months.
Automated alert for decreasing purchase frequency. Re-engagement campaign triggered automatically.
Customer Retention Rate
+28%
Re-engagement at first signs
Automatic
Multi-Touch Attribution
You don't know which touchpoint contributed to the buying decision. You cut budgets based on subjectivity.
Multi-touch attribution model: every channel and interaction is quantified in its contribution to sales.
Budget Allocation Accuracy
+38%
Customer journey visibility
360°
CHRO
HR Director
Real people analytics, proactive retention, proven impact
HR report for the board
You collect data from multiple systems, manually calculate indicators, and present with outdated data.
Live HR dashboard: turnover, time-to-hire, costs per employee, and correlations with business performance.
HR impact visibility
+60%
HR reporting efficiency
×2
Employee at risk of leaving
You find out a key employee is leaving from their resignation email. It's already too late to intervene.
AI detects risk signals: absences, behavior changes, historical patterns. You intervene proactively.
Turnover rate
−35%
Intervention before resignation
Proactive
Justifying HR budget
The Board asks about the ROI of training and retention investments. You cannot quantify it.
Automated correlations: cost of turnover vs. cost of retention, post-training productivity.
Time-to-hire
−28%
Justified with real data
ROI
Workforce planning
You don't know when you'll need to hire. You recruit in a crisis, under pressure, accepting weak candidates.
Predictive workforce planning model based on business growth, historical fluctuation, and seasonality.
Emergency recruitments
−45%
Anticipate Hiring Needs
3 months
Training Program Effectiveness
You invest in training without knowing if it has an impact. There's no clear before-and-after data.
Automatic correlation: training participants vs. individual performance 3 months later.
Measured Training Impact
+32%
Not intuition
Real data
Diversity & Inclusion
You report on D&I with manually extracted, incomplete data. You can't identify trends or correlate with retention.
Automatically updated D&I dashboard: representation by gender, age, seniority and correlation with satisfaction.
D&I Visibility
+50%
D&I Compliance Reporting
Automated
Absenteeism and Productivity
Absenteeism is tracked in Excel. You don't know if it's correlated with management, project, or team.
Absenteeism monitored per team, manager, and period. Automatic correlation with productivity and churn.
Unjustified absenteeism
−25%
With performance and retention
Correlated
CIO / CTO
Tech Leader
API-first, no vendor lock-in, implemented in days
ERP ↔ e-commerce integration
6–12 month project with external consultants. Fragile middleware, recurring maintenance costs.
Pre-built connector in Azuvio. Bidirectionally synchronized data, visual orchestration, complete audit trail.
Implementation time vs custom
−70%
Not months
Days
AI Implementation on Operational Data
Data is siloed, formats are inconsistent. Any AI project takes months before it even begins.
The MCP Layer unifies data from all systems. AI has complete context from day one.
Data Flow Visibility
100%
Vendor Lock-in
0
Compliance Audit
Manually reconstructing who accessed what data and when takes weeks and is incomplete.
Automatic audit trail on all flows and accesses. Compliance report generated in minutes.
Compliance Report
< 5min
Data Access Traceability
100%
Legacy Middleware Maintenance
You have an ecosystem of fragile scripts and connectors. Any change in one system breaks others.
Visual orchestration of data flows. You modify a connector without affecting the rest of the ecosystem.
Integration Maintenance Time
−60%
Fragility between systems
0 dependencies
Technical SLA Reporting
Technical SLAs are monitored manually or discovered after an incident. The board asks for uptime, you estimate.
Live technical dashboard: uptime, latencies, errors per system, automatic alert for degradation.
Uptime Visibility
99.9%
Alert Before Incident
Proactive
New Digitalization Project
Every tech project starts with a 3-month discovery and mapping phase of existing data.
The data and flow catalog is already documented in the platform. The new project starts with full context.
New Project Discovery Time
−70%
Existing Data Context
Ready from Day 1
Data Security and Access
You don't know who has access to what sensitive data. Access policies are managed ad-hoc.
Centrally configured role-based access control. User access report generated in minutes.
Data Access Visibility
100%
Report per user
< 5 min