Debt collection management system for finance and recovery teams

We created a dashboard that summarizes the value of the open portfolio, recovered amounts, active debtors, average debt age, expected inflows and cases requiring a decision. A 30/90-day switch and recovery chart give leaders a current view without assembling reports by hand.

The interface combines management metrics with daily actions. Finance leadership can see risk and cash-flow signals, while the operational team immediately sees promises due, disputes and payments waiting to be matched.

• Portfolio and recovery value
• Active debtors and average debt age
• Expected payments and decision queue
• Monthly recovery performance and aging structure

Business result: faster decisions, fewer manually prepared reports and a shared picture of where money and risk are concentrated.

We designed a daily work center with a queue of contacts, channels, deadlines, amounts and case priorities. E-mail and SMS sequences show what has already happened, what is scheduled and when a person should take over.

The system answers the team's most practical question: what needs to happen today? Important follow-ups no longer depend on a message left in an inbox or a private reminder owned by one employee.

• Daily action queue with priorities
• E-mail and SMS sequence stages
• Due dates, amounts and next steps
• Case detail panel and timeline

Business result: more consistent contact, fewer missed cases and more capacity without proportionally expanding the team.

We brought company data, contacts, balance, payment terms, credit limit and cooperation history into one customer profile. Each recovery specialist can open identification data, current exposure, payment behavior, activity and risk context in seconds.

E-mails, SMS messages, calls, notes, tags and payment promises stay attached to the same profile. This makes handovers easier and reduces dependence on the memory of a single person.

• Company and contact data
• Balance, terms and credit utilization
• Payment history and average delay
• Activity timeline, tags, risk and payment promises

Business result: faster case handover, shorter employee onboarding and consistent communication based on the same customer history.

A dedicated case view connects the invoice, customer, balance, deadline and recovery stage. The demonstrational flow can mark a case as paid and immediately update the amount recovered, amount remaining and outcome.

The case also records how many e-mails, messages and calls were needed, when the last contact happened and how long payment took after the due date. This turns a closed case into evidence for improving future strategy.

• Invoice, balance and recovery stage
• Recovered and outstanding amount
• Chronological communication history
• Channel and effort data behind the result

Business result: the company can measure which actions contribute to recovery instead of recording payment as an isolated accounting event.

We designed a call-center style communication view combining conversations, SMS, e-mail, notes and planned actions. The demonstrational call view includes playback, speaker-separated transcription and an automatic summary.

The product identifies key arrangements such as amount, promised date and next step. A specialist can turn them into a calendar entry, team reminder or a planned voicebot call without rewriting the conversation manually.

• Shared omnichannel history
• Call recording and transcript concept
• Automatic summary and detected arrangements
• Payment promise, calendar and follow-up actions

Business result: less manual note-taking, fewer lost agreements and better continuity when another person continues the conversation.

We mapped communication automation across e-mail, SMS and voice. Sequences can cover reminders before and after the due date, while a voicebot handles a narrow repeatable task: confirming whether a customer remembers a promised payment.

The voice interaction is designed to produce a response, note, transcript and escalation signal. In the MVP this is a demonstrated product direction; telephony and voice services would be connected during a client-specific production rollout.

• Pre-due and overdue reminder sequences
• Voicebot scenario for payment promises
• Structured response and follow-up signal
• Human handoff for negotiation or sensitive cases

Business result: automation handles repeatable first contacts while specialists focus on conversations that require judgment, negotiation or empathy.

We built a demonstration flow for importing bank statements and proposing matches between transactions, invoices and customers. Each proposal shows the sender, transfer title, amount, suggested document and confidence level before confirmation.

After a match, the system can update the balance and mark an invoice as paid or partly paid. This creates a shared point of truth between accounting and recovery instead of leaving paid cases open until someone notices the transfer manually.

• CSV, XLSX and MT940 import direction
• Suggested invoice and customer match
• Confidence score and human confirmation
• Balance and case status update

Business result: quicker reconciliation, fewer assignment errors and a more current view of the open receivables portfolio.

We organized cases into a CRM-like pipeline: new case, contact, payment promise and expected receipt. Weekly and monthly views combine total potential with a probability-weighted forecast.

Instead of learning about cash only after it reaches the account, finance teams receive an earlier signal based on active cases and declared payments. Forecast assumptions stay visible and can be improved with real performance data.

• Weekly and monthly recovery pipeline
• Full and probability-weighted value
• Expected inflows by period
• Case list and probability for every stage

Business result: better cash-flow planning, clearer commitments and earlier visibility of likely payment gaps.

We designed a risk module that combines payment history, delays, engagement signals and future external sources into a readable profile. Positive, neutral and negative factors support a recommended way of handling each case.

The score supports team judgment rather than making an automatic credit or recovery decision. Sources such as KRS, KRD and BIG are presented as production integration directions, not as active data feeds in the demonstrational version.

• Risk score and category
• Positive, neutral and negative factors
• Recommended recovery approach
• Payment trend and external-data readiness

Business result: higher-risk cases can be escalated sooner, while reliable customers receive a response appropriate to their history.

We treated Claimsio as a product platform, not a closed set of screens. The architecture and UX anticipate integrations with accounting, CRM, ERP, banking, e-mail, telephony, calendars and business-data providers, together with roles, audit logs and SSO.

The published demonstration validates interactions and supports sales conversations, discovery workshops and production estimates. A client-specific implementation can then prioritize the integrations and rules that create the greatest operational value.

• Accounting, CRM, ERP and banking integration roadmap
• E-mail, SMS, telephony and calendar workflows
• Roles, permissions, audit trail and SSO direction
• Multi-company, multilingual and management reporting readiness

Business result: stakeholders can test a concrete operating model before committing budget to a full production system.