Introducing Maestro — The only Agentic AI engine built from the ground up for post-origination collections.
Introducing Maestro — The only Agentic AI engine built from the ground up for post-origination collections.
ORCA decides the next best action for every account, takes it, watches what actually happened, and gets sharper for the next cycle. You define the outcome and the constraints. ORCA runs collections strategy to it and shows its working.
Clients backed by
lower cost per recovery, against a manual-first approach
lift in connectivity, by using the channel that gets them to answer
more recovered in early-bucket accounts, before they turn late stage
Most platforms follow a fixed engagement approach regardless of what has already happened in the account. ORCA runs a closed loop instead, so every outcome makes the next decision better, for that account and for the strategy as a whole.
ORCA picks the best next action for each account in real time, inside the rules you set: who to contact, through which channel, when, and whom to leave alone.
The action runs across digital, voice bot, tele, field, and legal, carrying the account’s full context through every handoff.
RBI, DPDP, and SARFAESI are not constraints to work around. They are the specification we build to, enforced in the product itself.
The strategy updates itself from those outcomes, so the next cycle starts better informed than the last.
Deploy the full platform, or start with one module.
Each agent owns one part of the loop. An orchestration layer sequences them, holds the compliance guardrails, and keeps one memory of every account, so context is never lost between channels or cycles.
Two entry points into the same engine. Either way, you see a visual plan and a forecast of cost and result before anything runs.
State the outcome, efficiency floor, capacity, and conduct rules. ORCA solves it across every account and channel, and shows you the strategy with its forecast and reasoning.
Brief ORCA the way you would brief your team: segments, sequences, offers, escalation points. It compiles your brief into policy, checks it for conflicts, and shows where a cheaper channel would do the same job.
Nothing runs until you approve it. The plan you approve is the plan that executes.
ORCA answers three questions credibly enough to survive an audit: what was expected to happen, what actually happened, and how much of the difference ORCA created. Baselines are agreed before the measurement period opens, never after, and no borrower is left unattended to prove a point.
You decide how much of the operating model ORCA runs, and widen it as the evidence builds. Every control stays with your collections team.
A multi-agent AI orchestration platform for collections. It runs to an outcome you define, inside the constraints you set, and reports what it changed against an agreed baseline.
No. ORCA deploys above your stack. Dialers, CPaaS providers, field partners, and legal partners stay, and become channels ORCA allocates to, sequences, and measures.
No. Trained machine learning models produce every score: propensity to pay, contactability, channel effectiveness, and best time to connect. The language model sits on top to recommend and explain. It does not generate the numbers underneath.
Guardrails and contact rules are configured as policy. Campaigns are simulated before publishing, a separate approver signs off, and you set the escalation and approval points yourself.
Baselines are built at portfolio and cohort level and agreed before the measurement period opens. Where a control arm is used, it is your existing process running in parallel on comparable accounts.
As SaaS on in-region cloud, API-first, integrating with your systems of record through APIs and files. Authentication runs through your existing identity provider, with no separate login for ORCA.
Banks, NBFCs, ARCs, fintech lenders, and MFIs, across unsecured, secured, and microfinance portfolios, from early delinquency through to legal.
Bring one portfolio. We will show you the objective, the path, and the proof, mapped to your DPD profile and your guardrails.
