AI workforce advisory tool for distributed team

1. A c t i v e I n t e l l i g e n c e
Empowering Decentralized Teams to bring WOW@Work!
Active Intelligence

2. ACTIVEINTELLIGENCE
Next generation workforce advisory tool creating WOW at WORK

3. Wastage of internal resources because of lack of clarity
about resource bandwidth, time zones, dependency of
team members
Resource
impossible workloads
engagement gets compromised with
and bottlenecks, that frustrates
team , impacting delivery
As organization scale and headcount increases, it gets
difficult to manage distributed team, with each team using
disconnected tools, systems, processes

4. Today’s
solutions

5. Highly Manual
Why it doesn’twork
Too much
dependency
Zéro
customisation

6. Shrikant Sarda
MD Accenture
Technology
“I run multiple virtual scrum teams and I am looking for a solution
that can help me identify all the insights and intelligence with one
click of a button without going through multiple logins and
interfaces. What Active Intelligence is doing is exactly, big
telecom companies are looking for”
Adam Stewart ,
Chief digital officer
Starhub, Singapore
”I really loved the concept, but we must ensure that we can
get the right sets of data “
Arvind Shankar , MD
Capita India
“I really loved the concept and I really believe with companies
having a distributed team, this will be a deal-clincher”
Problem Validation with Industry Leaders

7. Value Proposition
Smart resource allocation capability to maximizeefficiency
Through our smart advisory services , our system will find the best internal skilled underutilized floating resource
for other project team needs and bottlenecks to ensure 100 % utilization of your distributed resources , maximizing
efficiency and save cost
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 retain key talent
Integrating and supercharging existing tools
Integrating with tools that are already being used by business(project management tools, CI/CD tools. HR systems ,
and other agile tools ), we aggregate team level and project 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

8. AI Powered
Advisory
Workforce
Analyzer
Intelligent Real –time
Dashboard
Awesome features
Intelligent
Orchestration

9. “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 andperformance
• Teamsdeliver on time and onbudget.
•Continuousimprovementin team and programmeasures
Frustrations
•Withdispersed teams 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 across multipleprograms
•Ability to spot trends and brewing problems across resources beforehand
• Intelligencefor efficientutilizationof shared service resourcesacross multiple
teams and programsCopyright © 2020ActiveIntelligence.All rightsreserved.
Meet Jill: Program Lead at a Large Telco managing
50+ Distributed Teams across One Program

10. SCENARIO: THE PROGRAM LEAD WORKING WITH 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 & NEEDS LOT OF MANUAL INTERVENTION
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
Project1
Project2
Projectn
………….
Cross functional distributed teams using hybrid tools
……
……
Each team:
Agile coach
Product owner
Project
manager
Front end
team
Backend team
Program lead

11. Cross functional distributed team
ActiveIntelligence data source engine
Real time problem identifier across teams
Real time analysis of keyissues
Workforce analyzer
Dependency report of multipleteams
Capacity utilization insights of key resource
Resource performance issue
AI workforce advisory
All data gets aggregated and
reconciled through our central
data source engine ‘T-Rex’ and
form a layer of intelligence on the
top of existing tools and gets
distributed to the program lead
through single multidimensional
dashboard
A B C D E G
All the intelligent
insights can be easily
embedded into third
party dashboard via
API plugin
ActiveIntelligence
program leaddashboard

12. Prototype Demo
https://www.loom.com/share/97004d4957614b0390378df4945b978b

13. • Providing a sharp program
dashboard, with forecasting,
simulation, risk tracking
reports, and much more.
a stunning
of program
• Delivering
visualization
cross
program
dependencies,
managers
previously only dreamed of
• Providing prescriptive
analytics of how tooptimize
the skilled underutilized
distributed resource during
bottleneck situation
Program lead managing
50-125 people
Chief scrum master managing
5+ cross functional team
• Get a granular view of your
team’s code, contributions, pull
requests, bandwidth, tickets
and overall work patterns and
spot trends and brewing
problems beforehand in
combination with 1:1 retro
• Remove blind
bottlenecks early
spots and
and get
unified insights and trends to
help you better understand the
efficiency of your team,
retaining key talent
Software engineer
• Visualize all your impacts under
one dashboard without attending
pointless meetings, maximizing
efficiency
• Get objective data and your
contribution of your code without
losing the context and impact to
the codebase
• Remove bottlenecks and
excessive workload with clear
transparency on where you are
stuck, how much is your
bandwidth and how can you work
better without compromising the
health and wellbeing
Value Proposition for diffèrent stakeholders across the value Chain

14. Business Case
Typical scenario for a large Bank 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
$1.5million*10%*50=$7.5million USD p.a/program
Opportunity :
$7.5million USD P.A/program +resource engagement
Total opportunity for big banks/Telco's and product-based companies running more
100+ programs = $750 million USD P.A

15. Particulars Number of
Employees
60%target
user
Average $
employee
Per hour
Total
employee
cost /year
Total cost to
company for
target users
only
Average
underutilize
d
Total
underutilizat
ion $=market
problem
Savings to
the company
with AI with
50% impact
Accenture 500,000 300,000 40 USD 40*40*40
=$64000
192*10^8
($64000*30
0K)
10% 1920
Million
(10%*192*
10^8=)
$960 million
Top 50 IT
companies
globally
average
100,000 60,000 40 USD 64000USD $384*10^7 10% $384 million $192million
Total problem
area for top 50
IT companies
$9.6Billion
Problem size for top 50 IT service companies

16. Key KPI Metrics to measure success
Minimum 50 % reduction of wastage of internalresources Reduce hiring of contractors for an ongoingproject
Reduce overloading of resources
Reduce underutilization ofresources
Budget spent vs budgetplanned
Timely delivery of product Budget spent vs budgetplanned
Planned delivery dates vs actual delivery dates
Customer satisfaction rate andusage
Retention of Key talent Talent churn rate
Uplift in employee satisfaction Employee satisfaction survey
Agile Maturity index improves Number of times teams are updating Jirapipeline
Number of defects duringrelease
Churn rate duringdevelopment
Team collaboration
Team productivity Team
engagement
Key Business KPIS

17. Market Sizing
$792 Million
TotalAddressable
Market (TAM)
$80
MILLION
Target Market over Next
3 years = 10% of TAM
Assumptions
Customer lifetime value = 5 years
Our pricing is 4.99 dollars per month, after
discount its 1.99 dollars per month
+15% training cost =$2.20
Total headcount for top 100 IT
companies =10 million with an average of
100k employees in each
Target users =60 % of total
headcount =6 million
The total addressable market is
bigger If we were to consider our
add on analytics pricing, YoY
increase in pricing, reseller
model and gain share model.

18. Subscription:
USD 4.99 /person/month
Discounted to
USD 1.99 /person/month
Add on AnalyticsPricing
Per Module:
USD 1.99 /person/month
Discounted to
USD 0.79 /person/month
Training cost:
15%
Key RevenueDrivers

19. ActiveIntelligence Retain Saviom Portfolio for Jira
AI workforce
Advisor
Intelligent
Dashboard
Workforce
Analyzer
Intelligent
orchestration
Employée
delivery
engagement
information
Resource
Imbalance
Competitive Analysis

20. IT service companies
such as Accenture,
TCS , Wipro
Technology product-
based companies
Microsoft , Google,
Oracle, SAP
Telecommunication
companies
such as Vodafone ,
reliance and so on
Large Banks with
Technology Arms
• Customer Segments

21. Working from home willbe
the new norm after this
pandemic with companies
such as TCS shifting their
workforce to working from
home by 75%
IT Companies are shifting
to an agile work model
and this trend will
continue
Today, companies such as
Gitprime and agile craft
have already extracted
data from the open APIS
and have been acquiredat
200 Million USD
https://www.linkedin.com/feed/news/twitter-
to-allow-wfh-forever-4838820
https://economictimes.indiatimes.com/tech/ites
%20/why-it-companies-are-shifting-to-an-agile-
%20%20work-
%20%20model/articleshow/64430084.cms?from=
mdr
https://techcrunch.com/2019/0
5/01/pluralsight-will-acquire-
gitprime-for-170m/
WHY NOW

22. Comparable SaaS Startups Synopsis
Company Founded Investment raised Revenue Growth strategy
Gitprime 2015 $13.8 Million USD $14 Million USD Acquired at $170
million USD
Agile craft 2013 $10 Million USD
series A in 2015
N/A Acquired by Atlassian
at $166 Million USD
Gitlab 2012 $468 Million USD
series E with $1 Billion
valuation
$120 million USD 122% YOY growth with
10% churn rate and 10
years LTV
GitHub 2008 $350 Million USD 40 million users with
$300 million revenue
$7.5 billion valuation

23. Advantage: Team Intelgenic
Founders, Advisors & Investors
Aqueel Merchant
Co-Founder
Ex Managing Director
Accenture Shared services ,
India
https://www.linkedin.com/
in/aqueelmerchant/
Aninda Mukhopadhyay
CEO
Ex Accenture,Australia
https://www.linkedin.com/
in/aninda-mukhopadhyay-
83319036/
Crystal Cao
CMO
Ex Accenture, China
https://www.linkedin.com/
in/crystal-cao-04b826147/

24. Nikhil Singh
CTO
Ex Head of engineering ,
Yahoo
https://www.linkedin.com/in/
nikhilsingh/
Subhajit Bhattacharya
CPO
Ex IBM , TCS, Bank of America
https://www.linkedin.com/in/
subhajitbhattacharya07/
Team Intelgenic
Shabbir Sithawalla
Investor and director,
Singapore

25. Nishant Oberoi
Chief Investment Officer
Roquefort IB &
Ex ABN AMROBank
Varad Krishna
Global strategy Advisor
Exited 2 IPOS and founder of 100 Open
startup
Arvind Shankar
Investor
CEO Capita and ex
Global MDAccenture
https://www.linkedin.com/in/
arvindprabhatshankar/
https://www.linkedin.com/in/
krishvarad/
https://www.linkedin.com/in/
nishantoberoi/
Team Intelgenic

26. 09/2020
Full prototype
release
10/2020
MVP building
starts
Q1/2021
Testing with
Client
Q2/2021
Beta
Q1/2021
Pre-Release
Q2/2021
Launch
Roadmap