1) The document discusses an AI-enabled workforce advisory tool to help manage distributed and remote teams more effectively. 2) It describes key challenges in managing large agile programs across distributed resources like resource mismanagement and lack of visibility. 3) The proposed solution aims to provide smart resource allocation, measure individual employee engagement in real time, and integrate with existing tools to simplify tracking across teams.

1. AN AI ENABLED WORKFORCE ADVISORY TOOL FOR MANAGING
DISTRIBUTED AND REMOTE TEAMS
ACTIVE
INTELLIGENCE
Active Intelligence

2. KEY CHALLENGES IN MANAGING LARGE SCALE AGILE PROGRAMS WITH DISTRIBUTED
RESOURCES
Active Intelligence
1. Resource mismanagement leading to talent drain-out, resource effort
wastage, resource talent mis-fit, non-optimized resource utilization
2. Employee engagement can be compromised if they have multiple
dependencies or underutilized
3. Non-visibility for inter-project resource utilization for talent utilization
because of multiple interfaces to manage demand of activities and ticketing of
defaults
With multiple teams, multiple systems, multiple geographies and even multiple methodologies used across the program and
team level , the chief project delivery officer does not have unified understanding of resource utilization and engagement , and
often must depend on other managers or gut feeling to take decision .
Key insight
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3. OUR SOLUTION – DRIVEN BY REAL TIME AUGMENTED
INTELLIGENCE
3
Active Intelligence
1: Smart resource allocation capability
The solution recognises key resource(floating resource ) under-utilised within your
large team or multiple teams , optimises against prioritisation and matches them
with other teams needs & bottlenecks to ensure 100 %utilisation
2. Individual delivery employee engagement measure
By tracking Individual delivery engagement metrics (task completion rate,
interaction data points) in real time, we provide real time objective insights and
notifications to fix any engagement and performance issues , empowering resource
push their capabilities to the next level
3. Integrating and supercharging existing tools
Integrating with tools that are already being used by business (Jira,
Workday, Asana, Outlook, and so on ), we simplify and track progress
across disparate agile teams , processes and tools
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4. USE CASE : MEET JILL: CHIEF SCRUM MASTER AT A LARGE TELCO MANAGING
50+DISTRIBUTED TEAMS ACROSS MULTIPLE PROGRAMS
“I manage 50+ globally disbursed scrum teams and I need to ensure delivery success , resource utilization and efficient use of budget . But
it’s difficult to track this across all my teams and resources and I have not come across a tool that does this without heavy human
intervention as yet ”
Goals
•Track and resolve program risks , resource risks
• Resource engagement , progress and performance
• Teams deliver on time and on budget .
•Continuous improvement in team and program measures
Frustrations
•With dispersed teams and multiple applications, Jill's focus gets lost day to day
•Inability to prioritize initiatives and problems to fix
•Too much dependency on other managers, scrum masters or gut feeling
Requirements
•Unified understanding of teams' progress and performance across multiple programs
•Ability to spot trends and brewing problems across resources beforehand
•Intelligence for efficient utilization of shared service resources across multiple teams and
programs
Active Intelligence
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5. USE CASE: JILL’S(CHIEF SCRUM MASTER) WORKING WITH GLOBALLY DISTRIBUTED TEAMS RESPONSIBLE TO
DELIVER MULTIPLE PROJECTS WITH DIFFERENT DELIVERY PRIORITIES. MONITORING THE TEAM AND
PROJECT PROGRESS AT MICRO-LEVEL WOULD NEED HYBRID TOOLS. THEREFORE TO CONSOLIDATE DETAILED
PROJECT INFORMATION IS TIME CONSUMING AND MAY NEED LOTS OF MANUAL INTERVENTIONS
Active Intelligence
Scenario
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6. Active Intelligence
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7. BUSINESS CASE OF A BANK USING LARGE SCALE DISTRIBUTED PROGRAM
Typical scenario for a large bank using large scale agile programs with distributed resources
Average project teams cost profile (7-9 people) per program : $1.5Million p.a
Average underutilization proportion: 10%
Company project team delivery teams running in parallel > 50 teams
$1.5 million * 10%*50= $7.5 million AUD p.a/program cost savings
Active Intelligence
Copyright © 2020 Active Intelligence. All rights reserved.
Huge cost saving (~AUD
$7.5 million)
Workforce
engagement
optimization
Skill based
project allocation
Proactive
resource
levelling
Auto-project
alignment for
better workforce
management
Performance
monitoring
Talent retention
Key Benefits

8. OUR KEY KPI TO MEASURE SUCCESS
Active Intelligence
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9. OUR COMPETITOR ADVANTAGE IS WITHIN 2 CORE SERVICES – THE AI WORKFORCE
OPTIMISATION & THE DELIVERY EMPLOYEE ENGAGEMENT SERVICES
Active Intelligence
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Active
Intelligence
Retain Saviom Portfolio
for JIRA
AI optimise workforce imbalance
Consolidated interactive dashboard
Provide employee capacity timetable
Forecast the risk of project delay
Employee engagement information:
Productivity, Stress level, Rework
operations, Number of deliveries
Real time project budget burn down
vs progress burn up trend
Copyright © 2020 ActiveI ntelligence. All rights reserved.

10. WE HAVE AN API SUBSCRIPTION BUSINESS MODEL. THERE ARE 2 SLIDING-SCALE
VARIABLES DRIVING OUR PRICE OFFERING – API AND USER BASE
1
0
Copyright © 2020 Active Intelligence. All rights reserved.
Active Intelligence
AU$ 1 API
integration
2-3 API
integrations
4-5 API
integrations
6-7 API
integrations
Under 50
people
$8.99/pppm $12.99/pppm $16.99/pppm $20.99/pppm
51-499
people
$2.99/pppm $6.99/pppm $10.99/pppm $14.99/pppm
Above 500
people
$1.99/pppm $3.99/pppm $6.99/pppm $10.99/pppm
An API typically represents a single connection to another software tool used

11. OUR ROADMAP
Near term
Middle term
Long term
Dashboard
A deeply satisfying, comprehensive
view of resource allocation across
projects in a single dashboard ,
with an uncanny ability to spot
inefficiencies and gaps that can be
swiftly resolved.
Individual and team
engagement stories for
performance appraisal
Resource recommendation
AI resource recommendation
using cognitive data
Active Intelligence
Team engagement data
across teams and programs
Copyright © 2020 ActiveI ntelligence. All rights reserved.

12. Leadership team with 100 years combined experience
Aqueel merchant
Director
Ex MD of Accenture
India and investor at
pariksha app
Adam stewart
Business lead
Global head of digital
Vodafone
Aninda
CEO
Ex Accenture
Crystal Cao
CFO
Ex Accenture Beijing
Ashutosh saitwal
CTO
Ex vp of engineering semantic