AI Revolutionizing the Salesforce Developer's Day

AI usages and possible implementation in CQ

1. AI Usages AI Revolutionizing the Salesforce Developer's Day Presented by: Raj Kumar Ranabhat Tribhuvan Maharjan Anil Rokka Sushmina Manandhar

2. Daily uses of AI tools. Possible areas for AI Implementation In CQ Enhancing Technical Support with AI Leveraging AI for Departmental Efficiency Contents

3. AI Platform mostly used

4. Daily uses of AI tools Example: You type : // Give me an example of sorting array in Apex? AI suggests: AI Coding Assistance Features Code
Suggestions Snippet
Generation Line
Prediction Language
Support AI provides
intelligent coding
suggestions. Generates code
snippets from
comments. Predicts the next
lines of code. Supports multiple
coding languages.

5. Daily uses of AI tools Example: Error: TypeError : Cannot read property 'map' of undefined AI Fix: Vulnerability Detection Memory Leaks Identifies Bugs Syntax Errors Simple Terms Suggests Fixes Clear Explanations Code Scanning AI in Debugging and Error Fixing Recommends Optimized Fix Security Vulnerability Scanning AI in
Debugging
& Error
Fixing Error Message Explanation Bug Identification

6. Daily uses of AI tools Example Prompt: "Explain how useEffect works in React with an example." AI-Driven Documentation and Learning
Process Summarize
Documentation Generate
README Files Answer
Coding
Questions AI simplifies
complex
concepts into
easy-to-
understand
summaries. AI creates
README files
directly from
code. AI provides
quick and
accurate
answers to
coding
queries.

7. Daily uses of AI tools  Example Prompt: Before (Inefficient): After (Optimized): Code Refactoring &
Optimization Code
Suggestions Performance
Improvement AI provides
suggestions for
cleaner code. Improves code
performance by
optimizing queries. Legacy
Conversion Auto-
Formatting Converts older
code to a more
modern syntax. Automatically
formats code using
AI assistance.

8. Daily uses of AI tools Automated Testing Cycle Explain
Failures 4 Generate Tests Analyzes and
explains failed
tests with
suggested fixes Creates unit tests and test cases 3 1 Predict Edge Cases Write Scripts Develops test scripts using tools
like Jest and PyTest Identifies potential edge cases to enhance coverage 2

9. Daily uses of AI tools Natural Language to Code Example Prompt: “Generate apex code to create a Rest API to get the Account"

10. Possible areas for AI Implementation In CQ Migration and
integrity checks for
reliable data. Deployment failure
analysis to prevent
future errors. Centralized
documentation for
easy information
access. Code Review Error Models Confluence KB Data
Management Agentforce Record-specific
actions and insights
for efficient agents. Quality assurance
and smart
estimations for
better code.

11. Enhancing Technical Support with AI Automation Streamlining support workflows for faster resolution AI-Driven Support Intelligent assistance to handle customer issues efficiently Faster Customer Service Delivering timely and consistent responses to customers

12. Enhancing Technical Support with AI Manual Support = Delays & Inconsistencies Data-Driven Insights Limited Insights Efficient Resolutions Recurring Issues Faster Ticket Routing Slow Triage Automated Processes Manual Processes Transition from Manual to Automated Support

13. Enhancing Technical Support with AI Scalable Seamless app
integrations for
growth 4 Smart Routing 1 Automated ticket
triage for efficient
handling Instant, consistent
responses to queries Integrated KB 2 AI Replies Faster issue
resolution through
knowledge base 3

14. Enhancing Technical Support with AI Real-World Example – PDF Export Failure Support ticket automation features Smart Tagging Auto-Routing Contextual
Suggestions AI Drafting Categorizes tickets
using report data Sends tickets to
appropriate support
tier Generates draft
replies for agents Recommends
solutions from past
cases PDF Report Generation Issue Sequence System Update User Attempts
Report
Generation Report
Generation
Fails Users Report
Issue The system
undergoes a
software
update. Users try to
create PDF
reports. The system
fails to
generate the
reports. Users report
the problem to
support.

15. Enhancing Technical Support with AI Benefits for ComplianceQuest Improved Insights Enhanced understanding of data Continuous Learning Ongoing skill development 24/7 AI Coverage Round-the-clock AI support Faster Responses Quick and efficient communication

16. Enhancing Technical Support with AI 3 Regularly review metrics and
feedback to refine AI models. Integrate Systems Analyze historical support tickets
to find common issues. Connect Jira and the knowledge
base for AI-powered suggestions. 2 Review and Improve Test AI on Tickets Conduct pilot testing of AI
capabilities on a subset of tickets. 4 1 Implementing AI Identify Support
Problems

17. Enhancing Technical Support with AI Finalizing the support process Resolution & Escalation Agent Assistance Initial ticket submission and
acknowledgment AI aids agents in resolving issues AI Triage & Routing AI categorizes and routes tickets How AI Handles This Support Issue Submit & Confirm

18. Leveraging AI for Departmental Efficiency Clear Messages Writing Sensitive Emails Appropriate Tone Maintains professionalism
and respect Useful Applications Addresses sensitive topics
effectively Drafts clear, professional messages

19. Meeting Transcript Summarization Features Clear
Summaries Key Highlights Efficiency
Gains Highlights decisions,
action items, follow-
ups Transforms
recordings into clear
summaries Saves time and
boosts
accountability Leveraging AI for Departmental Efficiency

20. Document Preparation Features 1 Drafting Drafts job descriptions and internal documents 2 Customization Customizable to role and department needs 3 Consistency Maintains consistency in tone and structure Leveraging AI for Departmental Efficiency

21. Spreadsheet analysis features Spreadsheet
Interpretation Visual Creation Generates visuals and summaries for decision-making Understands intricate spreadsheet data immediately Insight
Identification Pinpoints trends, anomalies, and crucial
understandings Leveraging AI for Departmental Efficiency

22. 1 Boosts
productivity AI enhances productivity
by automating tasks and
reducing manual effort. AI in management Strategic focus 2 AI allows managers to
concentrate on strategic
planning and leadership. Leveraging AI for Departmental Efficiency