02 · B2B SaaS · Pre-seed

Wittify.ai—Build&DeployAIAgents

A guided agent builder, a unified multi-channel inbox, and analytics that make AI performance legible for non-technical operators.

Client: Wittify.ai
Role: Senior Product Designer
Scope: Product Strategy · UX Research · UI Design · Design System

$1.5M

Funding raised

4

Core workflows

6

Channels unified

Overview

Wittify.ai lets organizations build, deploy and manage AI agents across sales, support and operations — without writing code.

01 · Primary Users

Built for the people running customer operations.

Designed for teams that want to automate customer interactions and scale engagement without scaling headcount.

Customer Support Managers

Manage conversations and intervene when needed.

Business Owners

Track performance and outcomes.

Enterprise Organizations

Deploy agents across departments and channels.

Marketing Teams

Capture leads and automate engagement.

Operations Teams

Monitor workflows and improve efficiency.

02 · The Business Problem

Scaling conversations without scaling headcount.

Businesses needed a way to automate customer interactions across channels without growing support teams — with outcomes leaders could measure.

03 · Discovery & Research

A clear gap in the landscape.

Competitive analysis across the leading platforms exposed a gap between no-code simplicity and enterprise flexibility.

Features / Product	Botsonic	ChatBot AI	Botpress	Intercom
Target Users	SMBs & non-technical users	Support & marketing teams	Developers & technical teams	Enterprises
Core Positioning	No-code AI chatbot builder	Customer support automation tool	Open-source chatbot framework	AI customer support assistant
Strength	Fast setup, easy UX	Strong integrations & templates	Highly customizable, flexible logic	Strong ecosystem & support workflows
Weakness	Limited scalability & depth	Less flexibility for advanced AI flows	Requires engineering effort	Expensive, locked ecosystem

04 · Key Insights

Three tensions the market hadn't resolved.

Wittify is defined by core capabilities — agent creation, knowledge ingestion, multi-channel deployment, human handoff and analytics — rather than fixed modules.

Insight 01

A gap between no-code simplicity and enterprise flexibility.

Insight 02

Developer tools are powerful but inaccessible to business users.

Insight 03

Enterprise tools are powerful but expensive and closed.

Insight 04

SMB tools are easy but not extensible.

05 · Platform Ecosystem

Eight surfaces, one operating system for AI agents.

Each surface owns a distinct job, all sharing the same design language, object model and navigation.

Agent BuilderCreate, configure and deploy AI agents.
Knowledge BaseTrain agents on documents, FAQs and websites.
IntegrationsConnect to third-party channels and tools.
AnalyticsReal-time reporting on performance and engagement.
Hybrid AgentBlend AI automation with human intervention.
InboxManage conversations across every channel in one workspace.
User ManagementTeam access, permissions and roles.
Deployment CenterPublish and monitor agents across environments.

06 · Agent Creation

A guided setup, not a blank canvas.

Creating an AI agent can overwhelm non-technical users. I broke it into structured steps — Configuration, Voice, Knowledge, Integrations, Appearance and Deployment — to reduce complexity and speed up onboarding.

07 · Unified Inbox

Every conversation, one workspace.

Chats, WhatsApp, Messenger, Shopify and voice unified in one operational view — with multi-channel filtering, AI-to-human handoff and voice transcripts.

08 · Performance