Process Automation with AI in Appian

PROCESS AUTOMATION
WITH AI IN APP

OBJECTIVES

Understand the concepts and benefits of artificial intelligence (AI):

IIntroduce the fundamentals of AI and how it can be applied in automating business processes.

Learn to use AI Skills in Appian:

Train participants on utilizing the artificial intelligence capabilities integrated into Appian.

Develop practical skills for implementing automated solutions with AI:

Provide hands-on experience in designing, developing, and deploying automated solutions using AI Skills in Appian.

CONTENT

INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI):

01 OVERVIEW OF AI SKILLS IN APPIAN

02

Definition and basic concepts of AI.
Applications and benefits of AI in business processes.
Differences between traditional AI and advanced AI.

Capabilities and features of AI Skills in Appian.
Key components and architecture of AI on the platform.
Integrating AI Skills into Appian workflows.

CONFIGURING AI SKILLS IN APPIAN

03 PROCESS AUTOMATION WITH AI SKILLS

04

Initial setup and prerequisites.
Selecting and implementing AI models.
Tuning and customizing AI Skills for specific use cases.

Identifying suitable processes for automation with AI.
Designing automated workflows incorporating AI Skills.
Implementing AI in decision-making processes, content generation, and data analysis.

INTEGRATING AI WITH OTHER SYSTEMS AND TOOLS

05 MONITORING AND OPTIMIZING AUTOMATED SOLUTIONS

06

Connectors and APIs for integrating AI Skills with ERP, CRM, and other systems.
Strategies for interoperability and data exchange.
Practical integration cases and examples.

SECURITY AND COMPLIANCE IN AI SOLUTIONS

07

Monitoring tools and performance analysis in Appian.
Identifying bottlenecks and opportunities for improvement.
Strategies for continuous improvement and fine-tuning AI solutions.

TESTING AND VALIDATING AUTOMATED SOLUTIONS

08

Security practices and risk management in the use of AI.
Regulatory and ethical compliance in implementing AI.
Data protection and privacy in automated solutions.

Testing strategies specific to AI-powered solutions.
Test automation and result validation.
Managing defects and continuous feedback.

PRACTICAL CASES AND EXERCISES

09 THE FUTURE OF AI AND AUTOMATION IN APPIAN

10

Implementing a complete automation project with AI in Appian.
Solving common problems and optimizing solutions.
Discussing success stories and best practices.

Emerging trends and future applications of AI.
Evolution of AI capabilities in Appian.
Preparing for future developments and opportunities in automation.

METHODOLOGY

Theoretical Classes

Practical Demonstrations

Detailed presentations on concepts and best practices.

Live examples of how to implement and use AI Skills in Appian.

Practical Exercises

Interactive activities to apply the acquired knowledge in real-life scenarios.

Q&A Sessions

Study Materials

Spaces to resolve doubts and dive deeper into specific topics.

Documentation, guides, and additional resources for self-learning and ongoing reference.

TARGET AUDIENCE

This course is designed for application developers, business analysts, solution architects, system administrators, and any IT professional involved in the automation and optimization of business processes using artificial intelligence in Appian.

Upon completion, participants will be equipped with the skills and knowledge needed to design, develop, and deploy automated solutions using AI Skills in Appian. This will enable organizations to leverage the power of artificial intelligence to improve efficiency, reduce costs, and accelerate business processes—ultimately gaining a significant competitive advantage.