Aivar puts governed AI agents to work across KYC, underwriting, fraud, and customer servicing. Deployed inside your own cloud, audited at every step, and live in weeks.
Banking runs on trust, and trust runs on process. Every decision needs to be explainable, every action needs to be auditable, and every system needs to hold up under regulatory scrutiny. Aivar brings frontier AI models into production for banking and financial services teams, wrapped in governance that satisfies risk, compliance, and audit from day one.
Every accelerator deploys inside your own AWS account, so customer and transaction data never leaves your infrastructure.
From retail deposits to capital markets, each accelerator is tuned to the workflows and regulations that define your business.

Customer onboarding, KYC verification, and everyday servicing, automated in the languages and channels your customers already use.

Underwriting, collections, and disbursement verification that move at the speed of a decision, not a queue.

Transaction matching, merchant onboarding, and dispute resolution across millions of line items a month.

Embedded finance, treasury operations, and platform ISVs that need governed AI built into their own products.
Three accelerators, two foundations, one architecture built to survive an audit.

Handles customer verification and servicing conversations across voice, chat, and in-app, in the languages your customer base speaks, with every call scored and logged for compliance review.
>> Conversational AI for KYC calls, verification, and support <<

Runs document-heavy processes such as KYC verification, credit underwriting, and AML case review end to end, with every decision traced back to the policy that produced it.
>> Governed automation for credit and compliance workflows <<

Trains and serves fraud detection, credit scoring, and risk models inside your own VPC, with full audit trails and cost visibility built in.
>> Infrastructure for fraud and credit models <<
A sample of the engagements we've shipped.
Re-architected core cloud infrastructure supporting digital payments and personal finance for millions of users across India, improving performance, resilience, and regulatory compliance.

An agentic AI support system handling 50,000+ monthly sessions, roughly doubling support capacity and cutting a chat escalation rate that had climbed to 30%.

Replaced a rigid chatbot with orchestrated AI agents across the lending lifecycle, lifting cross-sell conversion 20% and recovering 40-50% of agent bandwidth.

Scaled critical, real-time customer messaging for banking, e-commerce, and government clients across India to millions of end consumers.

No. Every Aivar accelerator deploys inside your own AWS account or VPC. Customer records, transaction data, and model inputs stay on your infrastructure throughout.
ReVAct, our governance foundation, gates every agent action before it reaches a system of record and logs the reasoning behind it. That gives your risk and compliance teams a full audit trail for every decision an agent makes, not just a summary after the fact.
Most engagements move from discovery to a working proof of concept in one to two weeks, and into production within another six to eight, depending on integration scope. We build for production from day one rather than treating pilots as throwaway work.
General AI tools are built for productivity tasks like drafting and summarizing. Aivar's accelerators are built for regulated decisions such as KYC verification, credit underwriting, and AML monitoring, with the governance and audit trail banking regulators expect, and priced against the outcome delivered rather than tokens or seats.