Automate Collections
with objective intelligence
Thuriyam's sentient agents run durable, measurable, and compliant customer journeys — across voice, chat, and email — without sacrificing trust or visibility.
Complex business flows
you can see, measure, and trust
End-to-end operational work—sales, service, collections, compliance, and more—run as coordinated, long-running programs with agent reasoning, not one-off scripts. Every journey stays observable, every decision traceable, every outcome improvable.
Platform architecture: agents, lifecycle, AI Gateway, pilot vs production (Test / Live)
Sales Operations
Qualify, route, and close with agents that remember the full journey.
Collections & Recoveries
Durable multi-touch journeys with regulatory spacing and payment tracking.
Compliance Programs
Versioned policy templates evaluated against every conversation in your program.
Quality & Coaching
Automated scorecards, calibration, and actionable coaching queues for every agent.
Spend Governance
Multi-meter budgets and virtual key controls that tie every dollar to a team and workload.
Cross-functional Customization
Agents, routing, and lifecycle configurations your ops, QA, and engineering teams actually own.
Judgment + reliable timing — not a workflow builder
Judgment lives in the agent layer; waits, deadlines, channels, and system actions live in a separate reliability layer. That separation keeps policy enforceable — and saves you from both fragile if/then trees and uncontrolled improvisation.
Agent layer
- 1Context builder
- 2Coordinated agent steps
- 3Guardrails
- 4Structured decision
Timing & actions
- 1Channel & tool actions
- 2Timers / waits / calendars
- 3Signals & events
Decisions flow into actions; new signals fold back into context — a closed loop.
From the first signal
to the result—and round again
Not a one-off chat or a fixed script: work keeps going, each step is measured, and your team can improve what runs next—with a clear record of what happened.
Something happens
A payment fails, a customer calls, or a follow-up is due—that starts or picks up the workflow. Nothing is lost if systems restart or days pass.
The agent decides, safely
It uses case history and your rules. Guardrails keep policy tight; execution stays predictable.
You measure every touch
Quality and compliance attach to each conversation—recorded so you can audit and explain.
You improve with proof
Teams see trends and tune templates and agents. Changes go through pilot (Test) before they reach production (Live).
Something happens
A payment fails, a customer calls, or a follow-up is due—that starts or picks up the workflow. Nothing is lost if systems restart or days pass.
The agent decides, safely
It uses case history and your rules. Guardrails keep policy tight; execution stays predictable.
You measure every touch
Quality and compliance attach to each conversation—recorded so you can audit and explain.
You improve with proof
Teams see trends and tune templates and agents. Changes go through pilot (Test) before they reach production (Live).
Platform architecture — closed-loop execution
Follow the live path: each stage lights up in order, then loops — the same closed loop your operators govern in pilot (Test) and production (Live).
Signals
Voice, SMS, payments, schedules — any event opens or resumes a case.
Route & case
Policy-aware classification and durable workflow identity.
Brain + guardrails
Probabilistic reasoning with policy, supervisor review where needed, and decision contracts.
Execute
Deterministic actions across channels and backends.
Conversation quality (IQA) & compliance
Near-line scorecards, flags, and templates on every touch.
Durable record
Versioned history, audit trail, and evidence for the next turn.
Enterprise-grade depth
in every dimension
Five interlocking capability areas — each designed to be measurable, traceable, and improvable independently, and collectively.
Reliable long-running workflows, judgment vs timing layer, configuration lifecycle
Example: delinquent auto loan
A missed payment opens a durable case for this borrower. The system contacts them, records what happened, may offer a plan, then waits (cooling-off, schedule, or regulation) — and picks up again on the next signal. Nothing is lost if a call drops or a day passes.
The retry flash is on purpose: outreach often takes a few tries — the case and policy trail stay intact.
Collections program lifecycle
Same agent stack — how changes roll out before they touch borrowers in production.
Draft
Testing
Published
Archived
Only Published agents run in Live · changes are versioned, not silent
🧠 Brain
Decides tone, hardship options, and what to say — within your policy contract.
⚙️ Timing layer
Owns contact windows, retries, and “call back Tuesday” — deterministic, auditable waits.
Journeys that survive
days, crashes, and silence
The diagram above is one loan — the same ideas apply to any long-running program. The workflow layer holds memory across time (not just the chat log): a case survives missed calls, regulated gaps, and new payments or disputes.
- A collections case keeps its identity: same borrower, same policy trail, even across channels
- 'Retry outreach' or 'wait until next week' is stored — restarts and delays do not reset the story
- Brain (what to say) stays separate from the timing layer (when to act) — policies stay enforceable
- Running cases stay pinned to the workflow version they started under; pilot (Test) and production (Live) stay isolated
Ready to automate with
objective intelligence?
See how Thuriyam runs durable, measurable, and compliant customer journeys at enterprise scale. Talk to our team.
- 30-minute capability walkthrough
- Tailored to your use case and industry
- Live platform demo — no slides