📊 Full platform analysis

Everything Récolta does,
measured & explained.

A complete breakdown of every module, every metric, agent performance benchmarks, and the automation workflows that drive your collections results.

Platform outcomes

Key performance indicators

Real metrics from the Récolta platform — averaged across active client workspaces.

Recovery Rate
74.2%
Invoices fully collected vs. total portfolio
↑ +6.1% vs last quarter
Avg. Days to First Payment
14
From first reminder to first payment received
↓ 9 days faster than manual
AI Match Rate
80%
Bank payments auto-matched by AI with no human review
↑ +5% this month
Promise-Kept Rate
68%
Payment promises that resulted in actual payment
↓ -3% (industry avg: 55%)

Collections outcome funnel

📋 Total open invoices €45,190100%
↓
💬 Contacted & engaged €38,90086%
↓
🤝 Promise received €29,40065%
↓
✅ Payment collected €33,54074%
↓
⚖️ Escalated to legal €11,65026%

Recovery breakdown by channel

📧 Email reminders38%
Resolved without any agent intervention
📞 Agent phone calls29%
Resolved after direct call from collection agent
📅 Payment plans18%
Structured instalment agreements that completed
⚖️ Legal escalation11%
Recovered through formal legal proceedings
🔴 Written off4%
Deemed uncollectable after all channels exhausted

Timeline benchmarks

Days to first contact Day 1 (automated)
Average promise-to-pay gap 4.2 days
Time to legal escalation decision 18 days avg.
Payment plan completion rate 82%
App modules

What every part of Récolta does

Each module is a fully integrated part of the collections lifecycle — from first import to final resolution.

📋
Debtor Case Management
Central hub for every debtor — full history, invoices, communications, promises, risk score, and legal status.
360° debtor profile with risk scoring (Low / Medium / High)
Invoice ledger per debtor with overdue calculation
Full communication timeline (calls, emails, SMS, notes)
Payment promise logging with broken-promise alerts
Escalation level tracking (1–5) with scenario assignment
One-click "Send reminder" and "Log call" from case view
3
Risk levels
5
Escalation levels
∞
Timeline entries
🤖
AI Payment Matching
Automatically reconciles incoming bank transactions against open invoices using machine learning.
Bank statement import via CODA, MT940, Isabel 6
AI engine matches payment references, amounts, sender names
Confidence score per match (0–100%) shown to agents
Partial payment splitting and multi-invoice assignment
Unmatched payments flagged for manual review queue
Match rate analytics per account over time
80%
Auto-match rate
98%
Accuracy
<2s
Match time
✅
Task Queue & Automation
AI-generated and manual tasks organised by priority, type, and assignee. Full audit trail on every action.
AI generates tasks based on case events (broken promise, no reply, overdue threshold)
Task types: Call, Email reply, Reminder, Approval, Validation, Document, Meeting
Priority levels: High / Medium / Low with colour-coded queue
Role-based assignment with due-date enforcement
One-click "Done" completion with activity logging
Filters: Pending / Completed / All with count badges
7
Task types
3
Priority levels
AI+M
Sources
📅
Payment Plans
Create, track, and enforce structured repayment agreements. Automatic breach detection and escalation.
Create instalment schedules with custom amounts and dates
Automated reminders 3 days before each instalment
Breach detection: missed instalment triggers alert & task
Partial payment handling and plan renegotiation tools
Plan status dashboard: Active / Breach / Completed
Links to bank matching for automatic instalment confirmation
82%
Completion rate
Auto
Breach alert
∞
Instalments
⚖️
Legal Escalation Portal
Seamless hand-off to legal teams with a dedicated external portal. Lawyers get full case history without app access.
Legal dossier creation from any debtor case with one click
External lawyer portal with restricted, read-only access
Legal action logging: summons, judgement, bailiff, seizure
Document attachment per legal action step
Status tracking: Active / Judgment / Recovered / Closed
Automatic timeline entries when legal actions are logged
12
Open dossiers
4
Action types
ext.
Lawyer access
📊
Reports & Analytics
Real-time dashboards, cash flow forecasts, agent performance tables, and aging bucket analysis.
Recovery rate, match rate, and interest recovered KPI cards
Aging analysis: 0–30, 31–60, 61–90, 90+ day buckets
Agent performance table with cases, collections, and call counts
Cash flow forecast combining payment plans + pending promises
Sector and region breakdown of collections portfolio
Exportable reports for management and compliance
6+
Report types
Live
Data refresh
CSV
Export format
User & agent analysis

Agent performance breakdown

Track every agent's cases, calls, collections, and promise conversion. Role-based metrics across the whole team.

Top Agent Recovery
€22,400
Highest single-agent collection this quarter
Avg. Tasks / Agent / Day
12.4
Across all active collection agents
Call Completion Rate
78%
Calls resulting in contact (not unanswered)
Avg. Promises per Agent
8.2
Logged payment promises per agent per month
Agent Cases managed Calls made Promises logged Amount collected Recovery rate Score
SA
Sophie A.
Senior Agent
 18
46
14 €22,400
84%
A+
JD
Jean D.
Collection Agent
 14
37
9 €14,670
72%
B+
AK
Anna K.
Junior Agent
 9
26
6 €8,120
61%
B
LM
Lucas M.
Admin
 — — 2 €2,100
Admin
Admin
📞 Call performance
Answered rate78%
Avg. call duration4m 32s
Calls leading to promise34%
Avg. calls per resolved case2.8
Best call time slot10–12h
✅ Task completion
Tasks completed on time88%
Avg. overdue task age1.4 days
AI tasks accepted92%
AI tasks rejected8%
Manual tasks created / week6.2
🤝 Promise management
Promises kept (full)68%
Promises kept (partial)14%
Promises broken18%
Avg. days promise → payment4.2
Re-promise rate after breach41%
Workflow analysis

How automation drives collections

Every debtor is assigned a recovery scenario. Récolta executes each step automatically, escalating when thresholds are crossed.

Soft Recovery
91%
Recovery rate — friendly reminders only, no pressure tactics
Standard Recovery
76%
Mixed email + call workflow, moderate escalation speed
Accelerated Recovery
68%
High-frequency touchpoints, fast escalation path
Legal Escalation Path
54%
Post-legal action recovery rate from escalated dossiers

Standard Recovery — automated flow

AI action Outreach Agent task Legal
Day 0 Invoice import & AI triage
Invoice received — AI assigns risk score and recovery scenario
Invoice imported & validated
AI risk score computed
Recovery scenario auto-selected
Day 1 First contact
Friendly payment reminder sent — delivery & open rate tracked
Email reminder dispatched
Delivery confirmed by AI
Open tracking started
Day 7 Follow-up & agent outreach
Automated follow-up email + agent call task created if no response
Follow-up email sent
Agent call task auto-created
Agent call & outcome logged
Day 14 Promise & payment resolution
Payment promise recorded — AI monitors bank feed and auto-matches
Payment promise recorded
AI monitors bank transactions
Payment matched — case closed
If unpaid Escalation path
Promise breached — AI escalates level, admin notified, legal action initiated
Breach detected by AI
Escalation level raised to 3
Admin approval task created
Legal escalation initiated

Automation coverage

Reminders sent automatically100%
Tasks auto-generated by AI73%
Payment matches automated80%
Escalations triggered automatically61%
Promise breach alerts — automated100%

Workflow time savings

Manual matching (before Récolta) 3h / day
With AI matching (Récolta) 22 min / day
Manual reminder scheduling 2h / day
With automation (Récolta) 0 min / day
Total time saved: ~4.5 hours per agent per day — equivalent to 56% more productive capacity
Aging & risk analysis

Portfolio risk breakdown

Where your open receivables sit in the aging buckets — and what the recovery probability is at each stage.

0–30 days
€14,200
3 debtors · 92% recovery probability
31–60 days
€12,840
2 debtors · 74% recovery probability
61–90 days
€9,750
2 debtors · 55% recovery probability
90+ days
€8,400
1 debtor · 31% recovery probability

Risk score distribution

🔴 High risk1 debtor (33%)
Requires urgent intervention — broken promise or 90+ days overdue
🟡 Medium risk2 debtors (67%)
Active case — escalating scenario, regular follow-up required
🟢 Low risk0 debtors (0%)
Monitoring mode — payment plan active or recent promise

Sector exposure

🏭 Manufacturing35% — €25,400
🔧 Auto Parts17% — €12,300
🥗 Food & Beverage14% — €9,900
🔩 Steel & Metal12% — €8,750
🚛 Logistics12% — €8,650
AI engine performance

How the AI performs across your portfolio

Récolta's AI handles matching, task generation, risk scoring, and escalation triggers — all transparently auditable.

Matching Accuracy
98%
Of AI-matched payments were correct (no false positives requiring reversal)
AI Tasks Accepted
92%
Agent acceptance rate of AI-generated tasks — measure of relevance
Risk Score Accuracy
87%
High-risk flags that resulted in actual payment difficulties
Escalation Precision
79%
AI-triggered escalations that were confirmed by admin as correct

AI task type breakdown

📞 Call tasks generated38%
🔍 Validation tasks26%
✅ Approval requests20%
📄 Document tasks16%

AI vs. manual comparison

MetricAIManual
Task creation time <1s 5 min
Payment matching 80% auto 100% manual
Escalation trigger Instant 1–2 days
Risk scoring 87% accurate Subjective

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