List integration
Pulls the debtor list straight from your collection system and queues the calls. No manual upload, no separate dialer to feed.
DIGITAL EMPLOYEE · COLLECTIONS
TAHSİLDAR runs your collection calls, start to finish, without a human in the loop.
TAHSİLDAR is a voice AI agent built for the work no team enjoys: reaching overdue customers, verifying who they are, explaining what they owe, and agreeing on how it gets paid. It pulls the debtor list from your collection system, places the call, and handles the conversation the way a trained representative would.
Every interaction is written back to your systems the moment it ends, outcome, promise-to-pay, and payment plan included. Collections stops being a manual workload and becomes a process you can run at institutional scale, with the same script and the same rigor on every single call.
Payment plan agreedcalm tone
WHAT TAHSİLDAR DOES ON A CALL
One agent, the full collection conversation
TAHSİLDAR mirrors the exact process a human collector follows, list to outcome, and decides what to say at each step based on how the customer responds.
Voice identity verification
Confirms it is speaking to the right person through a security step before any debt detail is shared, exactly as your compliance rules require.
Debt notification
States the outstanding amount, due date, interest, and available payment channels clearly and consistently. The same accurate message every time.
Interaction & payment planning
Listens to the customer's situation, answers questions, and where appropriate negotiates and structures a payment plan within your institution's rules.
Instant recording & write-back
Logs the outcome and updates the collection system automatically as soon as the call ends, so every promise and plan is trackable.
Run at institutional scale
Handles the full overdue portfolio with the same discipline on call one and call ten thousand. No fatigue, no drift, no inconsistent scripts.
BUILT FOR FINANCE-GRADE COLLECTIONS
Designed around your rules, your systems, and your regulators
TAHSİLDAR was built with institutional needs and regulatory sensitivity in mind, on the enterprise AI infrastructure CBOT has refined across banking, telecom, retail, and public-sector deployments.
01
Technological infrastructure
Runs on CBOT's enterprise voice stack with IVR, SIP, and MRCP integrations, CBOT's own STT/TTS engines, and a choice of LLMs, for a natural, reliable conversation in cloud or on-premise environments.
02
Integration & system compatibility
Connects directly to your existing collection and operations systems and takes the process over end to end. From identity check to payment planning, every step follows your corporate rules and is recorded as it happens.
03
Deployment models
Deploy on-premise for maximum data control or in the cloud for fast rollout and automatic scaling. Either way, TAHSİLDAR slots into your environment without disrupting existing infrastructure.
04
TAHSİLDAR as a Service
Offered through CBOT's AaaS model with no hardware or GPU investment. Infrastructure, maintenance, and model updates are handled by CBOT; you pay for what you use and the system scales as volumes grow.
- BACKED BY CBOT'S ENTERPRISE AI TRACK RECORD AND 40+ INTERNATIONALLY RECOGNIZED AWARDS ACROSS BANKING, PUBLIC SERVICES, RETAIL, AND INSURANCE.
Questions teams ask before they deploy TAHSİLDAR
Does TAHSİLDAR really handle the whole call without a human?
Yes. It retrieves the debtor list, places the call, verifies identity, notifies the customer of the debt, negotiates a payment plan where appropriate, and writes the outcome back to your collection system. End to end, no human intervention required.
How does it verify it is talking to the right person?
TAHSİLDAR runs a voice-based identity verification step before sharing any debt detail. The verification logic follows your institution's security and compliance rules.
Will it fit our existing collection system?
It integrates directly with your current collection and operations systems through IVR, SIP, and MRCP, takes the process over, and records every interaction back into those systems instantly so nothing lives in a silo.
Can we keep everything on-premise?
Yes. TAHSİLDAR can be deployed on-premise for maximum data control or in the cloud for rapid rollout and automatic scaling. Your security and infrastructure needs decide which.
Do we need to buy GPUs or run our own models?
No. Through CBOT's As-a-Service model there is no hardware or GPU investment. CBOT manages the infrastructure, maintenance, and model updates, and you pay only for what you use.
Is it built for regulated collection conversations?
TAHSİLDAR was designed with institutional needs and regulatory sensitivities in mind, using CBOT's own STT/TTS technologies and enterprise voice AI architecture trusted across the finance sector.
READY WHEN YOU ARE
Turn collections from a manual grind into a process you can scale.
See TAHSİLDAR handle a real overdue-payment conversation (identity check, debt notification, and payment plan) and watch the outcome land in a collection system in real time.