Develop Agents & Build Your AI Practice
Agentic AI Jumpstart
The OPPORTUNITY:
MOVE From Hype to High-Performing AI Agents
The potential of Agentic AI to revolutionize operational efficiency is creating lots of excitement.
Promising use cases for Agentic AI are nearly endless, e.g.
Sales Assistant
Answer questions about customer accounts, help grow and close deals
Contact Center Assistant:
Flag issues in an account and help human agents close tickets faster.
Data Analyst
Answer questions about data, enable staff to be citizen data scientists
Data Entry Automation
Cut the effort of extracting and populating data into systems such as CRM
Fraud Detection & Action
Accelerate decisions for flagging risks
The CHALLENGE:
How Do You Jumpstart Your Agentic AI Practice?
Building valuable AI Agents is a learning curve, due to the rapid evolution of tools, capabilities, roles,
and skills needed. Finding the right business fit, managing executive pressure for immediate AI without
having a new team available to you, and the uncertainty of planning time and budget create significant
hurdles.
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Agentic AI is too steep a hill to climb for a "go it alone" approach to be effective.
Finding the tipping point from POC to
production?
When (and when not) to use AI Agents?
Tech & tools evolving fast - what to use?
Pressure from CXOs, but no team to work on AI?
Qbiz provides a Jumpstart for Building AI Agents
Qbiz delivers a compact and comprehensive services
solution for jumpstarting your Agentic AI practice and
building turn-key AI Agents.
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Engage Qbiz for a targeted, compact project
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Design, build, and operationalize AI Agents
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Get guidance for growing your Agentic AI practice
The result: Whether you are at the crawl, walk, or run
phase, Qbiz will accelerate your path to success.
OUR Process for Building AI Agents the Right Way
Qbiz experts partner with you from initial concept to ongoing optimization, ensuring the development
of AI Agents you can trust to deliver tangible business results.
Define Business Goals
Identify the best use cases and define clear business objectives
Specify Agent Scope
Define a clear spec for scope and functional requirements.
Validate Data Infrastructure
Assess and fortify your underlying data, foundations, pipelines, governance
Design Flow & Architecture
Design the workflow and select the most suitable tech stack
Build the AI Agent
Develop a robust AI Agent that scales and achieves your goals
Test, Validate, Optimize
Provide robust testing and validation. Monitor and optimize performance.
Operatoinalize
Deploy into production, transfer knowledge, and enable continued success
Examples
Sales Operations AI Agent for a Fin-Tech Company
Problem:
Sales team has too many questions about their sales commission numbers
Solution:
Sales commission AI Agent automates most answers.
Results:
Sales Operations team saves time, and Sellers get answers more quickly​
Data Governance AI Agent for a Fin-Tech Company
Problem:
Data catalogs are critical for data trust but hard to keep updated manually
Solution:
Qbiz developed an AI Agent to automate population and updates
Results:
Less manual work, more data trust, better ROI and operational efficiency
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