Agentic AI for Financial Services
Autonomous workflows for onboarding, servicing, collections, and back-office operations, with guardrails at every step.
2022
Founded
Agentic AI
LLM, RAG, and MCP specialists
Audit-ready
Compliance-first delivery
Custom-built
Not off-the-shelf
Financial institutions are moving beyond basic automation. Artificial intelligence in finance now powers real-time fraud decisions, faster credit approvals, automated compliance checks, and AI agents that handle work once done by whole operations teams. KriraAI helps you move from pilots to production-grade AI that fits your systems, your data, and your regulators' expectations.
End-to-End Fintech AI Solutions
Custom AI software for fintech, designed around your workflows, your data, and your risk appetite. From strategy to deployment, we cover the full AI lifecycle.
Fintech AI Service
Score payments in milliseconds, block risky transactions, and reduce chargebacks without adding friction for genuine customers.
Fintech AI Service
Detect unusual access, insider risk, and emerging threats with behavior-based monitoring across your systems.
Fintech AI Service
Speed up customer onboarding, document verification, screening, and suspicious activity review with AI that keeps a clear audit trail.
Fintech AI Service
Spot suspicious transactions and account behavior in real time. Our models score every event, cut false positives, and escalate only what needs human review.
Fintech AI Service
Build smarter credit models that look beyond traditional scores. Forecast risk, monitor portfolios, and make faster, fairer lending decisions.
Fintech AI Service
Automate regulatory monitoring, reporting, and documentation. Keep every decision traceable and every report audit-ready.
Fintech AI Service
Turn financial data into forecasts, trend alerts, and dashboards your teams can act on, from cash flow to portfolio performance.
Fintech AI Service
Develop AI-driven trading and signal engines with strong backtesting, risk controls, and monitoring built in.
Fintech AI Service
Deliver personalized portfolio recommendations and advisor copilots that scale advice without losing the human touch.
Fintech AI Service
Add intelligent chat and voice experiences to your banking app so customers can check balances, resolve issues, and complete tasks in plain language.
Fintech AI Service
Score payments in milliseconds, block risky transactions, and reduce chargebacks without adding friction for genuine customers.
Fintech AI Service
Detect unusual access, insider risk, and emerging threats with behavior-based monitoring across your systems.
Fintech AI Service
Speed up customer onboarding, document verification, screening, and suspicious activity review with AI that keeps a clear audit trail.
Fintech AI Service
Spot suspicious transactions and account behavior in real time. Our models score every event, cut false positives, and escalate only what needs human review.
Fintech AI Service
Build smarter credit models that look beyond traditional scores. Forecast risk, monitor portfolios, and make faster, fairer lending decisions.
Fintech AI Service
Automate regulatory monitoring, reporting, and documentation. Keep every decision traceable and every report audit-ready.
Agentic AI in financial services goes beyond answering questions. AI agents can pull data, apply policy, take action across systems, and hand off to a person when judgment is needed. KriraAI designs and builds multi-agent systems for banking workflows, with orchestration frameworks like LangGraph and tool connectivity through MCP.
Autonomous workflows for onboarding, servicing, collections, and back-office operations, with guardrails at every step.
Agents that reconcile records, chase exceptions, prepare reports, and update your core systems, so your team focuses on exceptions and decisions.
Specialized agents for KYC, underwriting, compliance, and customer service that collaborate on complex, multi-step processes.
Give relationship managers instant client summaries, product matching, and meeting prep, drawn from your approved data and documents.
Approval gates, confidence thresholds, and escalation rules keep people in control of high-impact decisions.
Financial institutions sit on mountains of documents, policies, and customer conversations. We build generative AI in banking and finance that turns this content into answers, summaries, and decisions, securely and with sources you can verify.
BFSI AI solutions designed for measurable operational impact.
Use Case
What It Does
AI KYC and AML Automation
Automates identity checks, screening, and case review
AI Loan Underwriting
Speeds up credit decisions with consistent, explainable scoring
AI Credit Scoring Models
Builds risk models from broader data signals
AI Chatbot for Banking
Handles customer queries instantly across channels
AI Voice Agents for Banking Customer Support
Resolves calls with natural, multilingual voice conversations
AI Insurance Claims Processing
Reads, validates, and routes claims faster
AI Invoice and Accounts Payable Automation
Captures, matches, and approves invoices with fewer manual touches
Explainable AI in Finance
Shows why a model made each decision
AI Governance and Model Risk Management
Tracks, tests, and documents models across their lifecycle
In finance, an AI system must be trusted, tested, and defensible. We build with governance in mind from day one.
Clear reasons behind every score, flag, and recommendation
Every AI action and decision logged and traceable
Approval steps and escalation paths for high-impact decisions
Role-based access, encryption, and controlled data handling
Testing, monitoring, and documentation across the model lifecycle
Technology we work with: LangGraph, RAG pipelines, MCP, LLMs, vector databases, and your existing banking and fintech systems. How we deliver:
We map your workflows, data, and goals to find the AI use cases worth building first.
We assess data readiness, security, and integration needs before a line of code is written.
We develop a working solution and test it with real scenarios and your team.
We validate accuracy, explainability, and compliance requirements before launch.
We launch, monitor performance, and keep refining as your business evolves.
Multi-agent systems, RAG, LLMs, and MCP are central to what we build.
We design around risk, compliance, and auditability from the first discussion.
Your data, your workflows, your systems. No one-size-fits-all tools.
Clear milestones, honest timelines, and regular demos.
Monitoring, tuning, and enhancements as your needs grow.
Multi-agent systems, RAG, LLMs, and MCP are central to what we build.
AI is used for fraud detection, credit scoring, KYC and AML checks, customer support chatbots, document processing, compliance monitoring, and financial forecasting. KriraAI builds these as custom solutions using machine learning, LLMs, and AI agents connected securely to your existing banking systems.
Agentic AI in banking refers to AI agents that plan and complete multi-step tasks, such as onboarding a customer or investigating an alert, across your systems. Unlike simple chatbots, they take action. KriraAI builds them with LangGraph and MCP, with human approval for high-impact steps.
AI fraud detection scores each transaction as it happens, comparing it to the customer's normal behavior and known fraud patterns. Suspicious events are blocked or escalated within milliseconds. KriraAI's models are tuned to cut false positives while keeping humans in the loop for borderline cases.
Cost depends on scope, data readiness, integrations, and compliance requirements. A focused pilot costs far less than a multi-agent platform. KriraAI starts with a discovery phase to define scope and gives you a clear estimate before development begins.
A focused pilot can often be delivered in a few weeks, while larger multi-agent or enterprise-wide systems take several months. Timelines depend on data quality and integration complexity. KriraAI shares a phased roadmap with milestones after discovery.
RPA follows fixed, pre-written scripts and breaks when inputs change. AI agents understand context, handle exceptions, and decide the next step on their own. KriraAI often combines both: RPA for stable tasks, AI agents for judgment-heavy work.
We log every input, decision, and action, and provide clear reasons behind each model output. RAG answers include source citations, and human-in-the-loop approvals are recorded. This gives risk and audit teams a traceable record of how each decision was made.
KriraAI connects AI solutions with your existing banking platforms, CRMs, core systems, APIs, and data sources. We assess integration requirements during discovery and build secure connections that fit your current workflows without requiring a complete system replacement.
AI for financial services should be designed with security, access control, encryption, audit trails, and human oversight from the start. KriraAI builds finance AI solutions with controlled data handling, role-based access, traceable decisions, and governance processes aligned with your security and compliance requirements.
Yes. AI can extract data from ID documents, verify identities, screen against watchlists, and prioritize alerts for review. KriraAI builds KYC and AML automation with human review for flagged cases and a complete audit trail for regulators.