Agentic AI is disrupting a wide array of Enterprise functions
Classical AI, data science and GenAI are converging into Agentic AI
Agentic AI reimagines decision and intelligence engines
Multi-modal, Multi-agent systems are capturing many enterprise workflows
We are seeing enterprises unlock value via number of use cases which can be quickly implemented
ZS Max.AI helps develop AI agents and Agentic Apps to accelerate enterprise use cases
ZS Max.AI enables the enterprise to build comprehensive Gen AI Architecture and unlock a wide array of application use cases across multiple domains
Select Agents
Maverick 2.0 – AI Companion
Market Research Secondary Analytics
Conducting deep analysis of customer reviews, feedback, and survey data to assess product acceptance and customer satisfaction. This analysis involves the use of advanced quantitative techniques to pinpoint specific areas requiring attention and to uncover hidden customer needs and preferences.
Voice of Customer (VoC)
Analysis of direct feedback from customers across diverse channels, including product reviews, social media interactions, email communications, and helpdesk tickets. Utilizing both qualitative and quantitative analysis methods, this approach aims to capture a holistic view of customer sentiments and experiences.
Literature Review
Systematically review and summarize existing documents, compliance regulations, research papers, journal articles, and studies, primarily sourced from internal knowledge repository and external databases
Customer-Facing Chatbots
Implementing AI-driven chatbots on websites and other customer facing channels to handle inquiries, provide product information, and manage a wide range of customer interactions, from basic FAQs to more complex queries requiring contextual understanding.
Competitive Intelligence and Analysis
Thorough and ongoing monitoring of competitor activities including new product launches, marketing campaigns, strategic alliances, and market entries. Advanced analytics are applied to evaluate competitors' strengths and weaknesses.
Agentic Forecasting
An agentic forecasting companion that auto-builds rigorous projections, monitors for variances, and
lets you test “what-if” scenarios on demand—all through a single natural-language interface
Prime
AI-powered analytics agent that transforms a plain-language question into sub-20-second, context-rich insights—complete with
dynamic visualisations, smart journals and cite-back to the underlying data
Nova
Nova spins up domain-tuned LLM agents on demand, using agentic apps and
multi-LLM workflows to deliver secure insights in seconds
Quill
Quill transforms pharma content ops: it automates MLR compliance, generates on-brand assets, and
mines performance insights—seamlessly integrated with enterprise digital asset management systems
Content Studio
Agentic AI unlocks tremendous value in the enterprise by scaling personalized content via intelligence
from existing content, content creation, experimentation and strategy
Alpha
Agentic marketer that autonomously discovers and enriches leads, generates
personalised outreach, and tracks engagement
MedScribe
MedScribe uses a multi-agent GenAI workflow to draft, validate, and standardise document authoring
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Send an email to nandini.a.mathan@zs.com, and we'll get back to you.