AI enabled workforce management tool

1. ActiveIntelligence
AI enabled workforce management tool for
decentralized IT project teams
ActiveIntelligence

2. CompanyVision
No matter where is the team located across the globe, no matter whether you work in isolation
or in collaboration, no matter whether you follow a traditional model or hybrid model ,
We ensure our technology can bridge every gap to bring workforce together!

3. KEY CHALLENGES IN MANAGING LARGE SCALE DISTRIBUTED AND DISPERSEDTEAM
1.Resource mismanagement leading to non-optimized resource
utilization, resulting in unnecessary wastage of internal resources
2.Employee moral can be compromised if they have multiple
roadblocks and impossible workloads
3.Non-visibility for inter-project resource utilization for talent utilization
because of multiple interfaces to manage demand of activities and ticketing of
defaults
Key insight
With multiple teams, multiple systems, multiple geographies and even multiple methodologies used across the programand
team level , the chief project officer does not have unified understanding of resource utilization and engagement , and often
must depend on other managers or gut feeling to take decision .

4. MEETJILL:
TEAMS ACROSS MULTIPLE PROGRAMS
“I manage 50+ disbursed project 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
•Trackand resolve program risks ,resource risks
• Resource engagement , progress and performance
• Teamsdeliver on time and onbudget.
•Continuousimprovementin teamand programmeasures
Frustrations
•Withdispersedteams and multipleapplications,Jill's focus gets lost day to day
•Inabilityto prioritizeinitiativesand problemsto fix
•Toomuch dependency on other managers, scrum masters or gutfeeling
Requirements
•Unified understanding of teams' progress and performance acrossmultipleprograms
•Ability to spot trends and brewing problems across resources beforehand
•Intelligencefor efficient utilizationof sharedservice resources across multipleteams and
programs
ActiveIntelligence
CHIEF PROJECT LEADAT ALARGE TELCO MANAGING 50+DISTRIBUTED
Copyright © 2020 ActiveIntelligence.All rightsreserved.

5. Chief project delivery lead
Team A
Location:
Sydney
Team B
Location:
Sydney
Team C
Location :
India,
Bangalore
Team D
Location
: Delhi
Team E
Location
:
Norway
Team F
Location:
Norway
Team G
Location:
China
Team Z
Location:
India
Each team consist of agile
coach, product owner ,
project manager and the
development team
Project1
Project2
Projectn
………….
SCENARIO: THE PROJECT LEAD 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
CONSUSING AND NEED LOTS OF MANUAL INTERVENTION
Cross functional distributed teams using hybrid tools
……
……

6. OUR SOLUTION – DRIVEN BY REAL TIME AUGMENTED
INTELLIGENCE
4
ActiveIntelligence
1: Smart resource allocation capability to maximize efficiency
Our solution intelligently distributes and assigns work to teams, groups, or
individuals based on priority, availability, and skill requirements, ensuring that
the right people are doing the right work, whilst also matches the right
underutilized resource to other team needs and bottlenecks , to ensure 100%
utilization
3. Integrating and supercharging existingtools
Integrating with tools that are already being used by business(Jira,
Workday,Asana, Outlook, and so on ), we aggregate team level data to make all
work visible across your enterprise in real time , helping simplify and track
progress across disparate agile teams , processes and tools
Copyright © 2020 ActiveIntelligence.All rightsreserved.
2. Individual delivery employee engagement measure
By tracking individual delivery engagement metrics across several data
points through the tools they are using , we provide real time objective
insights and notification to fix any engagement issues , empowering
resource push their capabilities to the next level and improve morale

7. ActiveIntelligence central source data center
ACTIVEINTELLIGENCE INTELLIGENT CHIEF
PROJECT LEAD DASHBOARDAND FEATURES
All data gets aggregated
and form a layer of
intelligence and gets
distributed to the project
lead through single
multidimensional
dashboard
Solution
Data pulled from different sources used across multiple projects in
distributed team
Real time problem identifier across teams
Real time analysis of key issues
Dashboardof employee who has left the team
Dependency reportof multiple teams
Capacityutilization insightsof key resources
Smart insightsof team member underperforming
Smart resource recommendation
All the intelligent insights can
be easily embeddedinto third
party dashboard used by
business via API plugins
Please click on each icon to see the
detailedfeature

8. https://www.youtube.com/watch?v=YIp-
yif9mpE&feature=youtu.be
PRODUCT DESIGN PROTOTOTYPE DEMO FOR THE USE CASE (END TO END )
Click in the link

9. BUSINESS CASE OF A LARGE TELCO USING DISTRIBUTED RESOURCES
Typical scenario for a large Telco running large number of projects using multiple decentralized team
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 > 50teams
$1.5 million * 10%*50= $7.5 million AUD p.a/ program costsavings
ActiveIntelligence
Huge cost
saving(~AUD
$7.5million)/program
Workforce
engagement
optimization
Skill based
projectallocation
Proactive
resource
levelling
Auto-project
alignment for
betterworkforce
management
Performance
monitoring Talent
retention
Copyright © 2020ActiveIntelligence.All rightsreserved.
KeyBenefits

10. KEY KPI METRICS TO MEASURE
Reduce wastage of internal resources by 10% Reduce hiring of contractors for an ongoing project
Reduce overloading of resources
Reduce underutilization of resources
Budget spent vs budget planned
Timely delivery of product Budget spent vs budget planned
Planned delivery dates vs actual delivery dates
Customer satisfaction rate and usage
Retention of key talent Talent churn rate
Employee satisfaction increased Employee satisfaction survey
Agile maturity index improves Number of times teams are updating Jira pipeline
Number of defects during release
Churn rate during development
Team collaboration
Team productivity
Team engagement
OUR KEY KPIS TO MEASURE SUCCESS

11. OUR COMPETITOR ADVANTAGE IS WITHIN 3 CORE SERVICES – THE AI WORKFORCE
OPTIMISATION , THE DELIVERY EMPLOYEE ENGAGEMENT SERVICES AND THEREALTIME
DETAILED ANALYSIS OF PROJECT AND TEAM PROGRESS DELAY
Features Active Intelligence Retain Saviom Portfolio for Jira
AI optimize workforce
imbalance
Yes NO NO NO
Consolidated interactive
dashboard
Yes Yes Yes Yes
Realtime employee capacity
utilization table Yes Yes Yes Yes
Realtime project burndown vs
project burnup chart Yes
NO
NO YES
Employee engagement
information from various tools
and sources; productivity, stress
level, rework rate, number of
deliveries done , collaboration
Yes NO
NO
NO
Block analysis ; Detailed
analysis of team delay using
multiple data sources without
any manual intervention
Yes
NO
NO
NO

13. Release 1: (2020 Q4)
• Intelligent Workforce Management Advisor
• Integrated User Identity Manager
• Users profiling and subscriber management
• Remote 3rd. Party data access API manager
• Data access & integration modules with JIRA
and Microsoft Excel
• Analytics reports & dashboards:
• Performance analyzer
• Skill gap assessment
• Productivity analyzer
Release 2: (2021 Q1)
• End-to-end data encryption
• Data modelling & business logic interface for customized queries and data mining
• AD integrated for SSO (Single Sign On)
• Log reports
• Analytics reports & dashboards:
• Employee sentiment analytics
• Consolidated project wise burn-up and burn-down chart for cross
reference
• Employee performance trend analysis (time series assessment)
• Cross-functional skill performance assessment
• Workforce skill and performance assessment (comparative assessment)
Release 3: (2021 Q2)
• AI Colab (Online users collaboration
interface)
• AI Smart modules for alert triggering
on emails and mobile phones
• Advanced analytics:
• Proactive alert liquid agile
workforce fitment
• Predictive performance
assessment
• Predictive training
requirements reports
• Predictive project delivery
schedule assessments
• Future workforce demand
assessment
• Scope for resource re-
alignment
Release 4: (2021 Q4)
• Integration with additional tools (besides JIRA and MS Excel)
• Advanced cognitive learning modules and ANN models for in-
depth data assessments for intelligent prediction and prescription
• Predictive and prescriptive advisory modules for workforce
optimization, future project allocation, demand forecasting, and
liquid agile workforce planning
• Desktop version for reports & dashboard preparation based on
local data
• Smart login authentication and voice enabled commands to
automate advisor activities
• Chatbot for voice based instant tech. support
*This is a high level roadmap plan, delivery timelines will always be tried to be expedited until risks/dependencies observed.

14. UNIFIEDUNDERSTANDING OF TEAMS PROGRESS AND
ISSUES
REAL TIME ANALYSIS OF KEY ISSUES IN
DETAIL
REAL TIME INSIGHTS OF TEAM
MEMBERSPERFORMANCEACROSS
MULTIPLE ACTIVITIES
AI BASEDRESOURCE
RECCOMENDATION
+
+
+
RIGHT TO PLAY
‘Match the competition’
RIGHT TO WIN
‘BEAT THECOMPETITION’
Version 1 (Q42020) VERSION 2 (Q12021)
VERSION3
(Q4 2021)
PRODUCT FEATURES*ROADMAP
Version1
Version1 Version1
Version2

15. Large IT servicecompanies
Companies such as TCS ,
WIPRO and similar sized
companies who have
distributed and dispersed
teams
Banks /Insurance companies
Big banks and insurance companies
such as Fidelity banks , swiss banks
, bank of America , are our key
targets . They have got huge IT
delivery teams , who workson
distributed and dispersed model
Telecommunication company
Big telecom companies such as
Reliance, Vodafone, and similar
sized companies . They have
globally distributed and
dispersed IT development tools
who also works with other
external IT development
partners
OUR KEY TARGETSEGMENTS
Product based companies
Companies such as
Twitter, Facebook,
Microsoft , google, who
are making their own
products and have large
distributed IT delivery
teams

16. IT service
companies
100 Average
headcount=300k
Actual users
=150k
Assuming that
50 percent of
the average
headcount will
be our target
users
Product based 100 240k 120k
BFSI 100 120k 60k
Telco 100 100k 50k
Market size breakdown : Breaking our target segment into 4 categories and taking just top
100 companies from each sector

17. Total market
Target market
over a period of 10
years
Total market over a
period of 5 years
Target market over
a period of next 2
years
Assuming customer lifetime value will be 24 months
and our pricing model is $1.10 per person per month=(
150k*100*24*1.10)+(120k*100*24*1.10)+(60k*100*1
.10*24)+(50k*100*1.10*24)
= $1.1 billion USD
50 % of the total market (we assume we can
take 50 percent of the top 100 companies
from each sector) = $550 million
10 % of the total market (we assume,
we can take 10 percent of the top 100
companies from each sector) = $100
million USD
1% of the total market (we assume
that, we can take 1 percent of the
top 100 companies from each
sector)= $10 million USD
DIFFERENT VALUE POOL SCENARIOS BASED ON MARKET TRACTION AND STRATEGIC PARTNERSHIPSTRENGHT

18. Revenue Stream and FundingPlan
Subscription Fee :1 USD per person permonth
TrainingFee:10 percent of the cost per user per month
*All numbersinUSD

19. Working from home
will be the new norm
after this pandemic
Companies such as Twitter,
LinkedIn, Google , all are
moving towards working from
home option as ‘ new ways of
working’ after this pandemic
Link : https://bit.ly/2Y70tpK
IT Companies are
shifting to an agile work
model and this trend will
continue
Link : https://bit.ly/2UMJDdc
Third party API’s are available for
data extraction
Today, there are tools available who
provides open source API’s for data
extraction and companies such as
Gitprime and agile craft have already
extracted data from those tools
successfully and got acquired by large
corporates
Link : https://bit.ly/2UMJDdc
https://tcrn.ch/2YBXdkZ
WHY NOW

20. Done : Cocreator and partner
IN PROGRESS
IN PROGRESS
TRACTION SO FAR

21. ActiveIntelligence’s Progress Within Next 3 Years

23. • 0.5 million USD funding for product development and operation
• Corporate connect
• Mentorship and follow on funding opportunity
OUR ASK