01 · Foundation
Core Banking & Delivery
Deep operating exposure to core banking software, implementation management, customer delivery and support in regulated financial environments.
About Dihet Enterprise Limited
Banking depth.AI ambition.Enterprise execution.
Dihet brings together decades of banking-technology experience with a current focus on AI, cybersecurity, RegTech, HealthTech and secure enterprise platforms.
Leadership profile
Sanjit Yagnik
Banking Technology · FinTech · AI · Cybersecurity
A career shaped by core banking software and digital banking implementation, now extending into AI/ML, rapid application development, cybersecurity, EU RegTech and healthcare AI.
29+
Years in banking technology
AI
Current innovation focus
FinTech
Banking & payments
RegTech
Compliance & cyber
The story
Experience evolvedinto a new technology thesis.
The path behind Dihet is not a jump from one trend to another. It is an evolution from understanding complex banking operations to building technology that can automate, secure and improve similarly complex enterprise environments.
02 · Expansion
Digital Banking & Payments
Experience broadened into digital banking, payments, customer-facing channels and the operational realities of financial technology adoption.
03 · Transformation
FinTech + Automation
A shift from product delivery alone toward workflow automation, platform thinking, analytics and technology-led business transformation.
04 · AI Era
AI/ML + No-Code Engineering
Practical exploration of AI/ML, Python, prompt engineering, Copilot tooling and rapid product development using modern low-code and no-code platforms.
05 · Now
Cybersecurity + RegTech + HealthTech
Current focus extends into cybersecurity, EU RegTech and compliance, healthcare AI and secure enterprise application development.
Cross-domain perspective
Where business knowledgemeets new technology.
The combination matters: banking and regulatory operating knowledge on one side, and modern AI, automation, SaaS and cybersecurity capabilities on the other.
Core Banking
Digital Payments
FinTech
AI / ML
Python
Prompt Engineering
No-Code Development
Cybersecurity
EU RegTech
Compliance
Healthcare AI
Enterprise SaaS
Product Strategy
Implementation
How we think
Practical technology.Enterprise discipline.
01
Domain before technology
The strongest software starts with the business process, regulatory context, users and operational constraints — not with a fashionable stack.
02
Production over prototypes
Ideas matter only when they can become usable systems with authentication, data, workflow, controls, deployment and support.
03
Security by architecture
Identity, access, auditability, tenant separation, privacy and evidence need to be considered from the platform foundation.
04
AI with human accountability
AI should accelerate work and improve visibility while preserving clear responsibility, oversight and traceability.
Continuous learning
Experience is valuable.Staying current is essential.
Recent professional learning reflects the transition toward AI-enabled financial programming, generative AI, Copilot, prompt engineering and responsible adoption.
01
Python for Financial Programming
02
Introduction to Artificial Intelligence
03
What Is Generative AI?
04
Prompt Engineering for Generative AI
05
Ethics in the Age of Generative AI
06
Microsoft 365 Copilot
07
AI-Driven Data Analysis
08
Generative AI for Creative Content
Why Dihet
The next enterprise systems will beintelligent, secure and domain-aware.
Dihet is being shaped around that belief: combine industry context with modern software architecture, embed intelligence into real workflows, and keep security, auditability and human accountability visible throughout the system.