Agentic
AI Design

We humanise Agentic AI through design, that don’t just follow instructions but understand intent. 

Designing Agentic AI that
Thinks, Responds, & Adapts

Designing Agentic AI that Thinks, Responds, & Adapts

Where traditional automation fails in complex scenarios, our Agentic AI thrives—like your best people do.

interpret context

Interprets
Context

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navigate ambuity

Navigates
Ambiguity

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makes decision

Makes
Decisions

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We don't just build AI, we design the intelligence behind it with method

Powered by our proprietary platform, DesignMind.

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How we do it?

right problem
Start with the right problem

Run discovery workshops to surface friction, refine problems, & define usecases.

agent persona
Define the agent persona

Define its role, knowledge, boundaries, tone,& decision-making authority

Workflow design
Design the Workflow

Map SOPs, triggers, and agent flows to logic, tools, and integrations.

real data testing
Test with real data

Simulate live scenarios to test, measure, refine, and adapt agent behavior.

Deploy monitor
Deploy & Monitor

Integrate with current tools, stage the rollout, track performance, and iterate

Real-World Examples of
Specialised Agents we have designed 

At YUJ, we believe product strategy is a scientific process that blends creativity, imagination, and data into thoughtful bets that maintain your competitive edge in a rapidly evolving marketplace. Our user-centered approach is built on concrete insights that not only captivate customers today but shape tomorrow's market opportunities.

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Domain: Automotive

Fleet Management and AI Solutions

Domain: Healthcare

Digital health transformation

Domain: Insurance

Policy claim automation

Domain: Finance

Loan risk evaluation

Video Thumbnail Play Icon

Domain: Automotive

Fleet Management and AI Solutions

Domain: Healthcare

Digital health transformation

Domain: Insurance

Policy claim automation

Domain: Finance

Loan risk evaluation

Our expertise

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Enterprise functional
areas we design for

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Enterprise functional areas we design for
  • Communication & Coordination
  • Planning & Workflow Automation
  • Monitoring & Compliance
  • Decision Support
  • Documentation & Content Generation
  • Learning & Onboarding
  • Issue Resolution & Support
  • Procurement & Transactions
  • Customer Service & Guidance
  • Risk & Security Monitoring
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Business
problem's we solve

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Business problem's we solve
  • Disjointed workflows and poor coordination
  • Time lost on repetitive, manual tasks
  • Slow decision-making due to unstructured data
  • Overloaded support, HR, and service teams
  • Gaps in healthcare, training, and onboarding journeys
  • Missed compliance checks and regulatory risks
  • Delayed incident response and resolution
  • Low personalization in customer interactions 

The Frontlines of Agentic AI:
Thoughts from Our Leadership

From defining an agent’s role and tone, to shaping task flows, prompts, and decision boundaries; our design team ensures our agent behaves like a teammate than a tool.

Why the future needs Agent Designers

Why the future needs Agent Designers

9 mins read Read more
From UX to Agent Design

From UX to Agent Design: The Evolution of Design Roles

9 mins read Read more
Designing for AI that acts

What changes when you design for AI that acts?

9 mins read Read more
Human centered AI

Human centred AI needs human-first design

9 mins read Read more

Designing Agentic AI isn’t the
future, it’s happening NOW

If you're curious, ambitious, or just want to explore how intelligent agents could work for you...

FAQ’S

Got questions? We've covered the basic about Agentic AI and how it can be integrated into your existing workflow. Get in touch for more nuanced queries.

How is Agentic AI different from traditional automation?
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Traditional automation follows rigid rules. Agentic AI is smart enough to reason, adapt, and make contextual decisions based on changing conditions, more like a skilled employee than a scripted process. It communicates with multiple AI Agents to break down complex tasks along with human feedback to perform tasks for you.
What if our systems aren't ready for AI agents?
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We design agents to work with your current infrastructure. Our process includes recommendations for any necessary upgrades or modifications.
Can agents be updated after deployment?
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Yes, our design approach includes provisions for continuous learning and updates based on performance data and changing business needs.
How do you ensure agent decisions are explainable?
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Every agent we design includes built-in explainability features, audit trails, and the ability to justify decisions in human-readable terms.
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