Services

Advisory Services

 

A Strategic Guidance to Plan & Design Enterprise Program around Intelligent Business Conversation

Business Advisory

 

  • Understanding of Business Pains and Needs
  • Business Case Preparation
  • Identification of Use Cases
  • Shortlisting of Use Cases fit for AI based CUI
  • Fitment of Communication Mode and Channels
  • Business Prioritization of Use Cases
  • Use Case Sampling for Pilot
  • Use Case distribution across Pilot and MVPs
  • AI & Cognitive Roadmap with ROI derivation
  • AI Governance and Adoption Planning

Technical Advisory

 

  • Technology Platform Fitment
  • Technology Readiness Determination
  • Use Case mapping with ADAz.IA Pre-Built Avatars
  • Recommendation on ADAz.IA Component Usage
  • Technical Feasibility study for Roadmap defined
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Methodology

Uses unique DATA [Discover-Analyze-TechnoFit-Advise] techniques

Tools

ADAz.IA has several micro-utilities like iCUI Discoverer, Brain Profiler, Brain Analyzer etc. to execute different items mentioned above

Timeline

Typically 3-6 weeks of engagement depending on scope and volume of ecosystem

Implementation Services

 

Phased Setup and Optimal Execution of Intelligence Business Conversation Ecosystem

Plan & Management

 

  • Implementation Management
  • Communication & Planning
  • Resource Management

Discovery & Analysis

 

  • Requirement Gathering
  • EPIC-Story Building
  • Backlog Analysis

Design

 

  • Technical Architecture
  • Integration Design
  • Security Design

Development

 

  • Configuration of Channels
  • Configuration & Scripting on virtual assistant service instance
  • Creation of intents in AI engine
  • Building learning AI engine
  • Creating definition of recipes and maintain event to recipe map
  • Configuration of Orchestration Engine
  • Creation of cartridges in cartridge pool

Testing

 

  • Functional testing
  • Integration testing
  • Performance & Security Testing
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Integration

 

  • Native Data Connect
  • Cloud Service Connect

Adoption

 

  • Business Adoption mechanisms
  • IT adoption mechanisms

Technical Guidance

 

  • Architectural Guidance
  • Programming Guidance

Methodology

Typically done in multiple phases, starting with Pilot and rest of the scope spread across multiple MVPs, all releases being managed using Agile Scrum

Tools

Standard Agile Tools for Execution, ADAz.IA Tools for AI Quality Management, Auto QA tools for V&V

Timeline

Typically 12 weeks Pilot including Foundation phase, rest as per MVP Planning

Support Services

 

Ongoing Execution of Troubleshooting and Continuous Improvement Needs

Regular Monitoring

 

  • Regular Health Check
  • Downtime Tracking
  • Proactive Issue Identification

Limited Enhancement

 

  • Enhancements within mutually agreed effort limit
  • New custom feature implementation
  • Loading New Technology

Continuous Training

 

  • Initial Training until Maturity
  • Re-Training in semi-auto mode
  • Training design amendment

Configuration

 

  • Change in Configuration due to change in other ecosystem variable
  • Configuration of newly added brain
  • Configuration of base Cloud settings

Troubleshooting

 

  • Fixing Issues reported based on Priority / Severity Level defined
  • Proactive fixes based on Monitoring information
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Methodology

While governed by HCL’s standard ASM regime, ADAz.IA’s proprietary AI Training to Brain Maturity applied

Tools

ADAz.IA has several micro-utilities for regular AI Health monitoring and Auto QA tools as applicable

Timeline

Ongoing activities with variable load based on scope of work