70%
26%
score
42%
support calls
0.8
ticket closure
Deploy AI Agents Across Every Customer Channel
Thunai replies to calls in over 200+ languages using CCaaS and VoIP
Share context across tools so clients never repeat info
Delivers 24/7 instant banking support via chat and email



Real TIme AI Assist That Supports Agents on Call
Remove manual app-switching for agents on call and other channels
Auto-retrieve client history and product details in real-time
Instantly suggests compliant next steps and exact SOPs
Automate Ticket Creation and Closure Instantly
Detect issues from product signals and tickets raised
Auto-creates tickets from calls, chats and interactions
Close tickets within 0.8 seconds using workflow-driven resolution




Connect All Your Enterprise Tools With Integrations
Thunai MCP syncs directly with core bank systems using API keys
Real-time bidirectional data sync for no manual data entry
Pulls resolutions from past closed tickets and existing PDFs
Drive Outbound Revenue Growth
AI outbound sales calls using your CCaaS software
Ramp-up outbound calls for card, loan and product upgrades
Convert routine chats into upsell wins faster

Deploy No-Code AI Support, Engagement and
Workflows for Finance and Banking in Under 48 Hours
Automate routine inquiries to lower AHT 42% so advisors focus on portfolio growth, client relationships, and higher-value financial decisions using agentic AI in BFSI.
.webp)
Our AI agents handle high-volume requests with AI agents, reducing headcount pressure and lowering cost per interaction, creating $3.5 ROI for every dollar spent.

Use approved data, and maintain audit-ready records while protecting sensitive information with AI that has ISO42001, GDPR and SOC-II compliance.

Deliver instant, round-the-clock support for requests without wait times, improving customer satisfaction across time zones.

AI Support That Drives GrowthIn Finance and Banking
Use AI agents for banking and finance that handle interactions, drive revenue
opportunities, and create faster, more consistent client experiences.
FAQs on AI agents for Financial Services
Thunai differentiates itself through its advanced AI-powered understanding, proactive insights, and workflow automation capabilities beyond simple keyword search.
Thunai employs robust security measures, including encryption and access controls, and adheres to relevant data privacy regulations.
Yes, Thunai provides on-premises deployment for organizations with strict data security and compliance requirements.
Thunai can automate support by providing agents with quick access to relevant information, suggesting answers, and potentially automating responses for common and even complex queries.
Right now, companies use AI agents for banking and finance to build AI workflows that manage actions across their external enterprise applications. These agents seamlessly fetch and update data in real time through Thunai's Multi-Connect Protocol.
Thunai AI agents for finance and banking help maintain compliance by using knowledge graphs to securely organize information and isolate sensitive or tenant-specific data. Also, Thunai ensures complete administrative oversight by maintaining full traceability of every user-agent interaction and executed API call.
AI agents for BFSI can automatically handle initial customer conversations and monitor real-time sentiment across voice, chat, and email. Additionally, Thunai Revenue AI can actively analyze client interactions to automatically detect, score, and capture new business deals
Thunai integrates effortlessly into existing tech stacks through its Model Context Protocol, for quick, out-of-the-box connections for over 35 popular enterprise tools. For unsupported or proprietary systems, you can easily utilize the custom connector builder to convert their APIs into standard OpenAPI specifications.
AI agents for financial services can allow complex evaluations by acting as a unified knowledge system that instantly retrieves accurate answers across all company files and real-time application data. It also prevents bottlenecks by intelligently detecting contextual conflicts within documents and surfacing them for quick human-in-the-loop resolution.

