AgentHack submission type
Enterprise Agents
Name
Jyothirmayi Lolla
Team name
AgentX3
Team members
Ranjani Thirugnanasambandam, Disha Thadani
How many agents do you use
Multiple agents
Industry category in which use case would best fit in (Select up to 2 industries)
Marketing/Sales
Complexity level
Intermediate
Summary (abstract)
Autonomous Marketing Agent for Smarter Campaigns
A single intelligent agent that streamlines the entire campaign lifecycle — from planning to personalized email delivery — with:
Strategy Agent: Understands goals, analyzes past
campaign data and current market trends to define
the right approach.
Potential Customer Identification Agent: Scores
and filters high-potential leads using CRM data and
real-time web insights.
Creative Agent: Crafts personalized email content
tailored to each lead’s profile and context.
This system cuts launch time from weeks to days,
boosts conversion rates up to 2.5x, reduces acquisition
costs by 40–50%, and significantly lowers team
workload.
Detailed problem statement
Modern marketing teams struggle to keep up with the growing demand for real-time, personalized, and data-driven campaigns. Disconnected systems, fragmented workflows, and manual processes slow down decision-making, reduce efficiency, and lead to missed revenue opportunities. Marketers face challenges such as:
Shallow personalization that fails to engage target audiences
Operational delays due to manual campaign planning and content creation
Low conversion rates and poor return on marketing investment (ROI)
Despite having access to tools, most teams lack a unified, intelligent solution that can automate strategy, customer targeting, and content generation—while adapting to changing market dynamics in real time.
Detailed solution
We present an Autonomous Sales & Marketing Agent—an intelligent, end-to-end system that automates the entire marketing campaign lifecycle from strategy creation to personalized outreach.
By combining multiple AI-powered agents into one seamless flow, this solution dramatically reduces manual effort, accelerates execution, and improves marketing performance.
Key Components:
Strategy Agent
Analyzes marketing goals, past campaign data, and real-time market trends
Designs a data-driven marketing strategy aligned with business objectives
Potential Customer Identification Agent
Extracts and enriches lead data from CRM systems (e.g., Salesforce)
Scores and filters high-potential leads using web insights and predictive logic
Personalization Agent
Generates personalized email content tailored to each lead’s profile and behavior
Optimizes messaging for engagement, response, and conversion
Demo Video
Expected impact of this automation
Business Impact:
Reduces campaign launch time from 3–5 weeks to 3–4 days
Boosts conversion rates by up to 2.5×
Lowers customer acquisition costs by 40–50%
Cuts manual marketing workload by over 70%, freeing teams to focus on creative and strategic initiatives
UiPath products used (select up to 4 items)
UiPath Agent Builder
UiPath Integration Service
UiPath Maestro
UiPath Studio
Automation Applications
Salesforce, Microsoft Outlook
Integration with external technologies
OpenAI, Salesforce, Microsoft Outlook
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Input: Marketing Goal, Product Details, Past Campaign Excel Data, and Leads from Salesforce CRM
Output: Identifies Potential Customers, and sends personalised email. Updated Lead Status to “Qualified/ Unqualified” in Salesforce CRM.
Other resources
Presentation Link: Autonomous_Markering_Agent_for_Smarter_Campaigns - Google Slides
Github Rep (.uis file from Studio Web project): GitHub - jyothil08/Autonomous-Marketing-Agent-for-Smarter-Campaigns