AI & Automation for Banking & Financial Teams

Tech Tammina helps banks and financial institutions modernize lending, onboarding, financial crime and finance workflows with governed AI, integration and engineering.

Our deliverables

Where banking teams get stuck

The shift is from systems that record activity to operating environments that interpret context, support decisions and respond to events in real time. Agentic AI is moving intelligence into multistep workflows — raising the bar on model risk, authority, auditability and control.

AI isolated in chat instead of embedded in the workflow
Decisions constrained by disconnected, overnight data
Agents with no defined permissions or escalation path
Customer and workflow logic duplicated across journeys
No consistent way to measure decision velocity or risk

Our deliverables

What we help connect and automate

Foundation
Financial Context & Data

Governed customer, account, loan and transaction data as shared context every journey draws on.

Operations
Process Orchestration

Workflow that manages cases, assignments, SLAs, approvals and human/agent coordination.

Future readiness
Governed AI Enablement

Agent roles and decision support with defined authority — embedded in process, not bolted on.

Automation examples

See what's possible

The journeys with the strongest documented evidence.

LENDING & CREDIT
Loan Application & Credit Workflow
INPUTS
Application, documents, credit data
AUTO
Intake
Underwriting
Decision support
Funding
RESULT
FINANCIAL CRIME
Investigation Intelligence
INPUTS
Alerts, transaction signals, customer context
AUTO
Screen
Monitor
Triage
Investigate
Report
RESULT
CUSTOMER & RELATIONSHIP
Customer Onboarding Intelligence
INPUTS
Customer, product, document data
AUTO
Intake
Due diligence
Case orchestration
Approval
RESULT

Where we're strongest

Proof that connects governance to growth

Clear milestones, constant communication, and zero hand-waving. Here’s how we get from idea to impact.

~50%

faster

reporting

Through automated underwriting and policy management.

~70%

less manual

processing

Achieved in high-volume intake and verification processes.

“AI in financial services is shifting from a ‘nice-to-have’ to the primary driver of operational alpha and risk management.”

Strategic Outlook 2026

Autonomous identity verification and sanction screening to eliminate onboarding bottlenecks without compromising security.

ML-driven risk scoring that synthesizes structured and unstructured data for faster, more accurate lending decisions.

 

Real-time anomaly detection using behavioral AI to flag suspicious transactions across multiple channels simultaneously.

End-to-end reconciliation between banks and ERPs, reducing manual matching errors by up to 95% with high precision.

Automated data aggregation for real-time liquidity insights, replacing static spreadsheets with dynamic intelligence.

Natural language agents that resolve routine account inquiries and intelligently route complex issues to human experts.

Connect with an Expert

Which financial journey is creating the most friction?