About Adaptive
Adaptive builds enterprise-grade access control for some of India's largest fintechs. Their customers include M2P, Jupiter, CoinDCX, Slice, Exotel, and LambdaTest, companies handling millions of sensitive financial transactions daily.
Security software is notoriously hard to design well. Dense information architecture. Multiple user personas. Edge cases at every turn. Making it intuitive without dumbing it down requires deep UX thinking.
The Problem
Debarshi, Adaptive's CTO, said their team tried every AI tool on the market. Claude for brainstorming. Lovable for prototypes. The usual stack.
The problem? Every output looked the same: generic templates that ignored Adaptive's product reality.
"Claude Code does a good job if you're starting from scratch. But for sophisticated stuff, these things don't work. You end up debugging the prototype instead of validating the concept."
The tools could generate screens fast. But they couldn't understand why Adaptive's dashboards needed specific information density. They couldn't respect the dark mode design system. They couldn't think through the UX constraints of security software where one wrong flow could mean compliance failures for their fintech customers.
Generic AI gives you generic UX. For enterprise security software, that's not good enough.
The Figr Difference
Figr approached the problem differently. Instead of jumping to screens, it learned Adaptive's product first.
The workflow:
- Capture existing screens from the live product via Chrome extension or screenshot
- Figr analyzes the design system, components, and UX patterns
- Ask for improvements or new features
- Figr thinks through edge cases, asks clarifying questions, then designs
- Design match existing product can be handed off to devs
"When Figr starts asking questions, it helps you get to a better outcome. Those questions force you to think about things you would have glossed over."
The difference isn't speed. It's depth.
What Changed
Before Figr
- Generic AI outputs that looked nothing like their product
- Product Managers couldn't confidently lead UX decisions
- Constant back-and-forth translating vision into designs
- Weeks from concept to validated prototype
After Figr
- Outputs match Adaptive's exact design language
- P drive UX with AI that understands their constraints
- Design intent preserved from first prompt to final screen
- Hours from concept to validated prototype
UX Decisions, Led by Product
The real shift: Adaptive's product team now leads UX decisions directly.
"I have the customer feedback knowledge, everything. With Figr, I can design with more precision, more value for the customer. Every design has an intention. Every element has a philosophy behind it."
This isn't about removing designers from the process. It's about giving the people closest to the problem, the PMs and founders who talk to customers daily, the ability to translate that knowledge into UX without losing fidelity in translation.
The result: PMs and founders now hand off deeper, clearer requirements to designers and front-end developers. Better inputs mean better quality work and faster handoffs. The endless back-and-forth between teams, caused by unclear intent from people closest to the problem, is gone.
Figr's questions surface edge cases. Its UX pattern knowledge catches issues before they ship. The result: designs that are both intuitive for users and respectful of Adaptive's complex technical constraints.
The UX Quality Gap
Here's what Adaptive shipped with Figr: dark mode dashboards with proper information hierarchy. Data-dense screens that don't overwhelm. Security workflows that feel intuitive despite underlying complexity.
"I would have never arrived at this design component if I was doing it myself. Figr brings the perspective of having multiple possible solutions when I only had one in mind."
The dashboard they built? DevOps teams at major fintechs use it daily. It handles the visual complexity of access management, audit logs, and compliance reporting without feeling like enterprise software from 2010.
Generic AI would have given them a template. Figr gave them UX that earns trust from security-conscious customers.
The New Standard
Figr is now Adaptive's baseline for product development.
"We've built out a process. Capture your existing screens, whether through the Chrome extension or a screenshot, bring it to Figr, iterate until it's right. That's the standard now."
Every new feature starts with context. Figr understands what Adaptive has built, how their design system works, what their users expect. New screens feel like they belong.
The design system evolves through use. Product Managers can explore variations confidently. And the output? Production-ready UX that doesn't need to be rebuilt by engineers.
The Bottom Line
Adaptive went from fighting generic AI outputs to having an AI that actually understands their product.
30% faster development cycles. From concept to shipped feature, the entire process tightened.
95% code accuracy. Exports to development need minimal manual adjustment.
Zero additional designers. Design output tripled without expanding the team.
"You can build product with finesse. That's what I would tell someone. Figr lets you build product with finesse."
- Debarshi Basak, CTO & Co-founder, Adaptive
Adaptive serves enterprise fintechs including M2P, Jupiter, CoinDCX, Slice, Exotel, and LambdaTest with their privileged access management platform.