Implementing Automated AI in an Organization

ARTIFICIAL INTELLIGENCE
SYSTEM IMPLEMENTATION
IMPLEMENTING AUTOMATED AI IN AN ORGANIZATION

THE INITIAL PROJECT PLAN
• AIMS AND OBJECTIVES FOR THE PROJECT
• SET THE PROSPECTIVE
• TO ENJOY ALL THE BENEFITS OF THE AI IMPLEMENTATION

PROJECT MANAGEMENT PLAN
• IMPLEMENTATION OF THE AI SOFTWARE
• IDENTIFYING THE BENEFITS
• UNDERSTANDING THE KEY PERFORMANCE INDICATORS
• KEY PERFORMANCE INDICATORS THROUGH WHICH THE ORGANISATION WOULD GAIN
THE BENEFITS
• IMPLEMENTING THE PLANNING PHASE
• TRAINING AND DEVELOPMENT FOR ALL THE INVOLVED EMPLOYEES
• TESTING OF THE SOFTWARE
• MONITORING OF THE PROJECT

WORK BREAKDOWN STRUCTURE
AI Implementation Plan
Scope Analysis of the Business
Requirements
Conduct needs
analysis
Draft preliminary
business
specifications
Develop preliminary
budget
Review software
specifications/budget
with team
Incorporate
feedback on
requirement and
resource
specifications
Develop delivery
timeline
Obtain approvals to
proceed (concept,
timeline, budget)
Secure required
resources
Analysis complete
Design
Review preliminary
business
specifications
Develop functional
specifications
Develop prototype
based on functional
specifications
Review functional
specifications
Incorporate
feedback into
functional
specifications
Obtain approval to
proceed
Design complete
Development
Review functional
specifications
Identify
modular/tiered
design parameters
Assign development
staff
Develop code
Developer testing
(primary debugging)
Development
complete
Testing
Develop unit test
plans using product
specifications
Develop integration
test plans using
product specifications
Unit Testing
Review modular
code
Test component
modules to product
specifications
Identify anomalies to
product specifications
Modify code
Re-test modified
code
Unit testing
complete
Integration Testing
Test module
integration
Identify anomalies to
specifications
Modify code
Re-test modified
code
Integration testing
complete
Training Documentation Pilot
Identify test group
Develop software
delivery mechanism
Install/deploy
software
Obtain user
feedback
Evaluate testing
information
Pilot complete
Deployment
Determine final
deployment strategy
Develop deployment
methodology
Secure deployment
resources
Train support staff
Deploy software
Deployment
complete
Post Implementation
Review
Document lessons
learned
Distribute to team
members
Create software
maintenance team
Post implementation
review complete
AI Software Go-Live