Freelance AI Agent Designers in BengaluruFreelance AI Agent Designers in Bengaluru
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Divan Raj's avatar
Divan Raj
proBengaluru, India
Product Designer · Mobile & Web · Motion Design · AI
$50k+
Earned
17x
Hired
5.0
Rating
974
Followers
TOP_INDEPENDENT

Top

JITTER_EXPERT

expert

+11
Product Designer · Mobile & Web · Motion Design · AI
Cover image for Agency Landing Page Design with AI Tools
Agency Landing Page Design with AI Tools
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25
Cover image for Mobile App Compilation - AI Agent Taste
Mobile App Compilation - AI Agent Taste
4
88
Cover image for Website design project for an architecture firm
$1.5K+ earned
Website design project for an architecture firm
43
911
Cover image for Art Gallery Mobile App Design for Bidd'me - FinTech
Art Gallery Mobile App Design for Bidd'me - FinTech
19
586
AI Agent Designer(2)
Ayush Jain's avatar
Ayush Jain
Bengaluru, India
AI Automation | AI Calling Agents | Voice AI | AI Chat Agent
AI Automation | AI Calling Agents | Voice AI | AI Chat Agent
Cover image for AB Events – AI Calling
AB Events – AI Calling Agent Demo This project showcases an AI Calling Agent developed for an event management business to automate customer interactions and streamline event inquiries. The agent is designed to answer questions about event services, collect customer details, qualify leads, provide pricing information, and assist with booking requests through natural, human-like voice conversations. Key features include real-time voice interaction, lead qualification, appointment scheduling, FAQ handling, multilingual support, and seamless integration with CRM and automation workflows. The solution is available 24/7, ensuring every customer inquiry is answered instantly while reducing manual workload and improving response times. Technologies Used: AI Voice Agents, Vapi AI, ElevenLabs, OpenAI, Workflow Automation, API Integrations, CRM Integration. This demo highlights how businesses can leverage AI voice technology to increase efficiency, improve customer experience, and capture more leads without expanding their support team. "now make image for this"
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10
Cover image for AITechEnt Calling Demo This project demonstrates
AITechEnt Calling Demo This project demonstrates an AI-powered Calling Agent built for AITechEnt to showcase how businesses can automate customer conversations with human-like voice AI. The agent is capable of handling inbound and outbound calls, answering customer queries, qualifying leads, collecting essential information, and scheduling appointments without human intervention. Designed with natural conversational flows and low-latency voice responses, the solution delivers a seamless customer experience while operating 24/7. It can integrate with CRMs, calendars, APIs, and automation platforms to streamline business workflows and reduce operational costs. AITechEnt focuses on building AI Chat Agents, AI Voice Agents, AI Voice Calling Agents, and workflow automation solutions tailored for businesses. Technologies Used: OpenAI, Vapi AI, ElevenLabs, Twilio, Make.com (http://Make.com), n8n, API Integrations, CRM Integration, Workflow Automation. This demo highlights how modern AI voice technology can improve customer engagement, increase lead conversion, and automate repetitive communication at scale.
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10
Cover image for Car Washing Appointment Demo This project
Car Washing Appointment Demo This project showcases an AI Voice Agent designed to automate appointment booking for a car washing service. The agent interacts with customers through natural voice conversations, helping them schedule, reschedule, or cancel appointments while answering common questions about services, pricing, availability, and business hours. The solution reduces manual booking efforts by collecting customer details, confirming preferred time slots, and integrating with calendars or CRM systems for seamless appointment management. Available 24/7, the AI agent ensures no customer inquiry or booking opportunity is missed, improving operational efficiency and customer satisfaction. Technologies Used: OpenAI, Vapi AI, ElevenLabs, Twilio, Make, n8n, API Integrations, Calendar Integration, CRM Integration. This demo demonstrates how AI-powered voice automation can simplify appointment scheduling, enhance customer experience, and help service-based businesses save time while increasing booking efficiency.
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23
Cover image for Edurup – AI Sales Calling
Edurup – AI Sales Calling Agent This project features an AI Sales Calling Agent developed for Edurup, an online learning and job-readiness platform. The agent is designed to engage prospective students through natural voice conversations, explain available courses, answer common questions, qualify leads, and encourage enrollments. The AI agent provides detailed information about course benefits, pricing, certifications, career opportunities, and placement support while collecting customer details for follow-up. It can also schedule callbacks, transfer high-intent leads to human counselors, and integrate with CRM systems to streamline the admissions process. By automating initial sales conversations, Edurup can reach more potential learners, reduce response time, and improve lead conversion while ensuring every inquiry is handled professionally, 24/7. Technologies Used: OpenAI, Vapi AI, ElevenLabs, Twilio, Make, n8n, CRM Integration, API Integrations, Workflow Automation, Conversational AI. This demo showcases how AI voice technology can help education businesses scale their sales process, increase enrollments, and deliver a consistent experience to every prospective student.
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31
AI Agent Designer(4)
Prakash Anand Kolkundi's avatar
Prakash Anand Kolkundi
Bengaluru, India
I’m a UI and Design System Expert
I’m a UI and Design System Expert
Cover image for Namma Kutumba Care ❤️ Even when
Namma Kutumba Care ❤️ Even when family is far away, family stays with you. When we were children, our parents and grandparents held our hands and taught us how to live. But somewhere along the way, technology moved faster than they could keep up. Missed calls. Confusing remotes. Forgotten medicines. Silent homes. Not because family stopped caring — but because distance, work, and life quietly came in between. That feeling inspired me to build Namma Kutumba Care — a retro-inspired care companion for senior citizens who struggle with technology and live independently. Instead of forcing seniors to adapt to technology, what if technology adapted to them? ✨ How it works 📱 Family scans a QR code to remotely set up care preferences 👨‍👩‍👧 Configure family, doctors, medicines, reminders, emergency contacts & wellbeing support ⚡ Everything syncs instantly to the device in real time Built with Figma Make + Supabase, enabling a connected care experience between family onboarding and the senior companion device. Features include: 📞 One-tap audio/video family calls ❤️ Live wellbeing updates for caregivers 🚨 Emergency & safety support 👨‍⚕️ Quick doctor connectivity 🚕 Trusted rides for hospital visits 💊 Gentle medicine reminders 🎵 Familiar songs, bhajans & comfort routines 🌍 Multi-language support For family, it’s not surveillance or analytics — but a warm daily story of care. Built for @figma #ConfigMakeathon with one belief: Technology should adapt to people — not the other way around. 🔗 Figma Make + Supabase Live Prototype — https://above-engine-55177178.figma.site 🎨 Figma Make Community Working File — https://www.figma.com/community/file/1648752487036095974/namma-kutumba-care-by-prakash-a-k-community 🎥 Story About Namma Kutumba Care Video — https://youtu.be/kpzydEioQpM 📱 Live Figma Make + Supabase Demo — Family Care Setup — https://youtu.be/favY8DguYWQ Would love your thoughts ❤️ @Figma #ConfigMakeathon #AIForGood #SeniorCare #Accessibility #InclusiveDesign #DesignForIndia #HumanCenteredDesign #FigmaMake #Supabase
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Cover image for 🚀 What if interfaces disappeared
🚀 What if interfaces disappeared — and technology just understood you? I built Futuristic Interaction 2050 for the Contra | Figma Makethon 2026 — a 5-scene cinematic prototype that reimagines how humans will interact with technology 25 years from now.No screens. No taps. No clicks. Just intent. This is a fully interactive, — a cinematic journey through a day in 2050 where biometric sensing, spatial computing, emotion-aware environments, and zero-navigation AI replace every interface we know today. You live it — walking through smart doors, watching rooms adapt to your stress levels, and collaborating in holographic workspaces. Published Figma Link: https://vocal-blur-83272003.figma.site Figma Community Link: https://www.figma.com/community/file/1609871721349340633 #figmamakeathon  #ContraFigmaMakeathon @Zoë Colivas @Contra HQ
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Cover image for Excited for this Makeathon! I
Excited for this Makeathon! I bring strong hands-on experience with Figma Make and have already built and launched a Figma plugin: https://codemydesign-ai-bro-by-prakash-a-k.figma.site/ @Figma (https://contra.com/company/figma) @Contra HQ (https://contra.com/contra) @Zoë Colivas (https://contra.com/zoe)
2
9
1.5K
Cover image for Created in Figma Make with
Created in Figma Make with latest Claude Opus 4.5 — my AI-powered Design Language Studio for generating advanced visual concept prompts. #FigmaMake, #ClaudeOpus45, #AIModel, #DesignLanguageStudio, #VisualPromptGenerator
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AI Agent Designer(5)
Amey More's avatar
Amey More
Bengaluru, India
Lead Product Designer focused on AI & Scalable Products
New to Contra
Lead Product Designer focused on AI & Scalable Products
Cover image for AI-Powered Payments Platform — Operational
AI-Powered Payments Platform — Operational Command Center for JP Morgan About: JP Morgan's Payment Blotter was doing its job managing high-value institutional transactions across multiple teams but nobody could actually see what was happening. Layered permissions, fragmented listing logic, and role-based visibility rules that had accumulated over years meant the system provided data but not clarity. Operations associates, client service teams, and back-office stakeholders were all looking at the same platform and interpreting it differently. In a compliance-driven, time-sensitive environment, that ambiguity isn't a UX problem it's operational risk. What I did: I was the sole designer on a 9-person cross-functional team, responsible for auditing the entire workflow architecture, untangling role-based logic inconsistencies, and redesigning the blotter into a structured operational workspace while simultaneously laying the AI foundation for future enhancements. 12 stakeholder interviews across 4 service locations in US and UK. 3 sprints. One mandate: make a dense enterprise system behave predictably without stripping the depth that power users depend on. The key insight that drove every decision: in enterprise financial systems, clarity and consistency drive operational performance more than feature depth. The redesign surfaced role-aware access transparently, embedded ticket handling directly into contextual views, and simplified payment state logic so users could identify state faster, understand their access, act from the listing view, and share context without exporting. Post Launch: Launched and awarded in 2025. Ticket actions down to under 3 minutes. Processing time under 4 minutes. Task satisfaction at 75–80%. Ticket volume per team brought under 2,000. A payment blotter that finally worked like a command center.
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Cover image for Revolutionize Walmart Operations with AI-Driven Order Fulfil...
AI-Powered Order Fulfillment — Conversational AI for Walmart Operations About: Walmart's fulfillment teams were navigating 200+ fragmented modules to complete a single order. Manual coordination, cognitive overload, and training costs running $774–$1,047 per associate were quietly burning $5M+ in operational friction every year. The system wasn't broken it was just never designed for the decisions people were actually making. What I did: I was the sole designer on a 15-person cross-functional team, leading end-to-end design of a conversational AI assistant that unified order management, automated repetitive decision-making, and introduced explainable AI reasoning with built-in safety guardrails. I defined the conversational strategy, interaction model, and ethical guardrails then prototype and validated it live across 5+ store environments with 16 user sessions. Post-launch: The results were structural: workflows accelerated 60%, 300+ daily support sessions eliminated, 24,000 clicks reduced per session, task time dropped to under 3 minutes. $5M+ in operational savings unlocked. Launched, awarded, and still running.
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Cover image for Unified Banking Dashboard — Multi-Brand
Unified Banking Dashboard — Multi-Brand Design System for Emirates NBD & Emirates Islamic About: Two banking brands. One codebase. 2.5 million digital users in the GCC expecting instant financial clarity every time they open the app. The existing dashboard was fragmented, brand-heavy, and cognitively expensive research showed 70% of daily sessions were spent just checking balances and recent transactions, yet the interface was treating every screen like a promotional surface. What I did: I led UX strategy, information architecture, interaction design, and design systems thinking solo delivering a token-driven, brand-adaptive dashboard that let Emirates NBD and Emirates Islamic share core structural components while expressing completely distinct identities through color, elevation, tone, and motion. No UX fragmentation. No engineering overhead duplication. The layered hierarchy I designed answered the three questions every banking user silently asks: Where do I stand? What can I do now? What needs attention? in that exact order, every time. Post-launch: 85–95% task completion, drop-off reduced by 20%, 70% component reuse across brands, 2–3× improved engagement, and a 2× faster brand rollout for engineering teams. A dashboard that finally worked like a financial command center not a promotional feed.
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Cover image for Smart Delivery App - Age
Smart Delivery App - Age Verification System About: Walmart's alcohol pickup flow was a compliance liability hiding inside a UX problem. Associates were making high-stakes age verification calls under peak-hour pressure with decision-critical signals scattered across multiple screens no clear path for edge cases, no confidence in exceptions. What I did: I redesigned the entire verification system from scratch: a guided, adaptive, multi-modal flow that handled ID-less scenarios, intelligent exception routing, and real-time validation all within a 3-sprint delivery alongside a 13-person cross-functional team. Post-launch: 93% compliance rate. 90% task satisfaction. Hand-off time dropped to under 3 minutes. Verification errors and peak-hour abandonment both declined measurably. What started as a workflow fix became a shift in decision architecture proving that compliance and speed aren't opposing forces when the interaction model is built around context.
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AI Agent Designer(2)
chandra sekhar's avatar
chandra sekhar
Bengaluru, India
Data-driven Operations and Product design l with 5+ years
New to Contra
Data-driven Operations and Product design l with 5+ years
Cover image for 🚀 THE FUTURE FLASH 3 AI
🚀 THE FUTURE FLASH 3 AI Wonders Making the Future Look WILD! 🤖 1. Meet Your New AI Teammate — Grok Bot! Grok Bot is a new AI worker that can use a computer and log into tools to actually do jobs for you, instead of only chatting. Mind-Blow Fact: 🤯 It can work like a digital teammate that gets tasks done while you focus on something else! 🕺 2. Robot Dance-Off! Unitree Is Going BIG Unitree makes humanoid robots that can run, dance, and even perform martial-arts moves, and the company is now preparing for a huge stock-market debut. Mind-Blow Fact: 🤯 Unitree's IPO was reportedly oversubscribed by more than 8,000 times! 🪄 3. Say “Build Me a Website!” — Figma Make Does It Figma Make lets you describe a website in normal words, and AI can build the layout, interactions, and working code for you. Mind-Blow Fact: 🤯 You can go from a simple idea like “make me a space-game website” to a working site without starting by writing code yourself! 🌟 THAT'S ALL FOR THIS EDITION! The future isn't coming… it's already knocking on the door! 🚪🤖
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Cover image for Internal Business Process & Efficiency Scorecard Matrices
Internal Business Process & Efficiency Scorecard Matrices
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7
Cover image for End-to-End Retention Funnel & User Cohort Analytics
End-to-End Retention Funnel & User Cohort Analytics
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7
Cover image for E-commerce Supply Chain & Inventory
E-commerce Supply Chain & Inventory Optimization
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8
AI Agent Designer(1)
Rahul Desai's avatar
Rahul Desai
Bengaluru, India
Automation Consultant — n8n & Make.com | Lead Intake Systems
New to Contra
Automation Consultant — n8n & Make.com | Lead Intake Systems
Cover image for AI-Powered Lead Qualification System —
AI-Powered Lead Qualification System — Zero Manual Data Entry Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot. THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors. THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7% TECH STACK: Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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Cover image for Agency Onboarding Automation — From
Agency Onboarding Automation — From Contract to Project Launch Without Manual Setup Built a client onboarding machine for a digital agency that eliminates 2+ hours of manual admin every time a new client signs. THE PROBLEM: New client signs the contract → account manager manually creates a Slack channel, Google Drive folder, Asana project, and sends a welcome email 2 days later. Clients felt ignored. Projects started slow. Project managers wasted hours on setup instead of strategy. THE SYSTEM I BUILT: → TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook → QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium) → CREATE: Auto-generate Slack channel with client + internal team, Google Drive folder structure with template documents, and Asana project from pre-built template with all milestones → ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match → WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing → SYNC: All project data synced to agency dashboard for leadership visibility THE RESULTS: • Onboarding initiation: 48 hours → 10 minutes • Admin time per new client: 2 hours → 5 minutes • Client satisfaction score (onboarding phase): +40% • Project setup consistency: 100% across all teams TECH STACK: Make.com (http://Make.com) | PandaDoc | Slack | Google Drive | Asana | HubSpot | Google Workspace WHY THIS WORKS: First impressions are everything. This system makes clients feel like they're working with a machine-precision agency from minute one — because they are.
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Cover image for E-Commerce Auto-Fulfilment System — From
E-Commerce Auto-Fulfilment System — From Order to Label Without Touching a Spreadsheet Built a fully automated order-to-fulfillment pipeline for a D2C brand selling across Shopify, Amazon, and their own store. THE PROBLEM: The operations team manually copied orders into spreadsheets, checked inventory against 3 separate sources, created shipping labels one by one, and updated tracking numbers by hand. 3 hours of daily grunt work. 8% error rate. Delayed shipments. Angry customers asking "where is my order?" THE SYSTEM I BUILT: → CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline. → VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue. → PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time. → SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility. → NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation. → ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context. THE RESULTS: • Manual processing time: 3 hours/day → fully autonomous • Order processing errors: 8% → 0.2% • "Where is my order?" support tickets: -60% • Scales to 10,000+ orders/month without adding staff TECH STACK: Make.com (http://Make.com) | Shopify | Amazon SP-API | Google Sheets | Shiprocket | Zoho Books | Twilio | PDF Generator WHY THIS WORKS: E-commerce margins are thin. Every minute of manual processing and every fulfillment error eats profit. This system runs 24/7 without breaks, mistakes, or overtime pay.
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Cover image for Real Estate Auto-Response System —
Real Estate Auto-Response System — Capture Every Inquiry in 60 Seconds Designed a 24/7 inquiry response engine for a real estate agency handling 50+ daily leads across property portals, Facebook, and WhatsApp. THE PROBLEM: Agents were responding to inquiries 4-6 hours later. By then, prospects had already contacted 3 competitors and scheduled viewings elsewhere. The agency was bleeding money on ad spend but losing deals to response speed. THE SYSTEM I BUILT: → CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook → QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification → MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability → RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds — 24/7, even at 2 AM → LOG: Every conversation automatically logged to Airtable CRM with full context → FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours → ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile THE RESULTS: • First response time: 4 hours → under 60 seconds • Inquiries lost to delay: 0 • Agent conversations handled per day: 3x increase • Listing view-to-meeting conversion: +35% TECH STACK: n8n | Airtable | WhatsApp Business API | Google Forms | Slack WHY THIS WORKS: In real estate, speed wins. This system ensures every inquiry gets a personalized, instant response with matching listings — while the prospect is still interested.
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AI Agent Designer(1)
Vanshika Kataria's avatar
Vanshika Kataria
Bengaluru, India
Product Designer | UI Designer | UX Researcher
Product Designer | UI Designer | UX Researcher
Cover image for Reimagining Sports with AI —
Reimagining Sports with AI — Introducing Fitzz For the Figma Makeathon, I designed Fitzz, an AI-powered application for sports enthusiasts that brings sports discovery, community, performance tracking, athlete ratings, and personalized coaching into one unified experience. Using Figma Make, I transformed an idea into a fully interactive product by breaking the design process into multiple phases—from ideation and user flows to AI-driven experiences and final visual refinement. The goal was simple: help people discover sports, stay consistent, improve performance, and grow through AI-powered guidance. Check it out on Figma Community, It's Live Guys!! https://www.figma.com/community/file/1649133905560941364/fitzz-mobile-app-design #FigmaMakeathon #FigmaMake #ProductDesign #UIDesign #UXDesign #AI #SportsTech #DesignChallenge
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Cover image for Portfolio Website Design
Portfolio Website Design
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42
Cover image for Branding & Logo Design
Branding & Logo Design
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42
Cover image for Fintech App Redesign
Fintech App Redesign
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44
AI Agent Designer(1)