The document describes ActiveIntelligence, a next generation workforce advisory tool. It aims to empower decentralized teams to improve performance. The tool would provide a unified view of multiple distributed teams and projects, help identify potential problems early, and provide insights into resource utilization and capacity. It describes a scenario of a program lead managing multiple distributed teams working on different projects. ActiveIntelligence aggregates data from various sources and provides intelligent insights through a centralized dashboard. This helps program leads track progress, optimize resource allocation, and improve delivery success.
3. Outstanding Founders and Directors
Aqueel Merchant
Cofounder
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
Business Analyst
Ex Accenture, China
https://www.linkedin.com/
in/crystal-cao-04b826147/
4. Nikhil Singh
CTO
Ex Head of engineering , Yahoo
https://www.linkedin.com/in/nikh
ilsingh/
Subhajit Bhattacharya
CPO
Ex IBM , TCS, Bank of America
https://www.linkedin.com/in/
subhajitbhattacharya07/
Arvind Shankar
Investor and adviser
Current MD Capita India &Ex Global MD
Accenture
https://www.linkedin.com/in/arvindprabhatshankar
5. Nishant Oberoi
Chief Investment Officer
Ex ABN Amro Bank
&Dawnay Day AV
https://www.linkedin.com/in/nishantoberoi/
Varad Krishna
Global strategy Advisor
Exited 2 IPOS and founder of 100 Open startup
https://www.linkedin.com/in/krishvarad/
Shabbir Sithawalla
Investor and director,
Singapore
6. Meet Jill: Program lead at a large Telco managing 50+ globally distributed resources across
multiple projects
“” I manage 50+ disbursed resources and I need to ensure delivery success , resource utilization and efficient use of budget . But it
is difficult to track this across all my teams and resources and I have not come across any tool that does this without heavy
human intervention yet “
Pain Points :
• With dispersed team and multiple application , 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 and resource progress
without going through multiple logins and interfaces
• Ability to spot brewing problems and trends across
resources and projects beforehand
• Efficient utilization of shared service resources across the
project delivery to maximize efficiency and reduce cost
7. 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 NEED LOTS 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
8. Particulars Number of
Employees
60%target user Average $
employee
Per hour
Total employee
cost /year
Total cost to
company for
target users
only
Average
underutilized
Total
underutilizatio
n $=market
problem
Savings to the
company with
AI with 50%
impact
Large IT
company
500,000 300,000 40 USD 40*40*40
=$64000
$64000*300
K=192*10^8
10% 10%*192*
10^8=1920
Million
$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
9. Cross functional distributed team
ActiveIntelligence data source engine
A B C D E G
Real timeproblem identifier across teams
Real time analysisof key issues
Workforce analyzer
Dependency report of multipleteams
Capacityutilizationinsightsof key resource
Resource performance issue
AI workforce advisory
All data gets aggregatedand
reconciled through our central data
source engineand form a layer of
intelligenceon the top of existing
tools and gets distributed to the
program lead through single
multidimensional dashboard
All the intelligent
insights can be easily
embedded into third
party dashboard via
API plugin
ActiveIntelligence
program lead dashboard
11. Value Proposal for diffèrent stakeholders across the value Chain
• Providing a sharp program dashboard, with forecasting,
simulation, risk tracking reports, and much more.
• Delivering a stunning visualization of program cross
dependencies, program managers previously only
dreamed of
• Providing intelligent analytics of how to optimize the
skilled underutilized distributed resource during
bottleneck situation
Program lead managing 50-70 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 spots and bottlenecks early and get
unified insights and trends to help you better
understand the efficiency of your team, retaining
key talent
12. Key KPI Metrics to measure success
Minimum 50 % reduction of wastage of internal resources 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
Uplift in employee satisfaction Employee satisfaction survey
Agile Maturity index improves Number of times teams are updating Jirapipeline Number of
defects during release
Churn rate during development
Team collaboration Team
productivity Team engagement
Key Business KPIS
13. Market Sizing
$792 Million
Total Adressable
Market
$80
MILLION
Target Market over Next
3 years
Assumption
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 If we
consider our add on analytics pricing,
YOY increase in pricing, reseller model
and gain share model, is even bigger
14. Subscription : 4.99 USD
per person per month.
After discount, its 1.99
dollar
Add on analytics pricing
=0.79 dollar per person
per month
Training cost : 15%
Key Revenue Drivers
15. ActiveIntelligence Retain Saviom Portfolio for Jira
AI workforce
Advisor
Intelligent
Dashboard
Workforce
Analyzer
Intelligent
orchestration
Employée
delivery
engagement
information
Resource
Imbalance
Competitive Analysis
16. Customer Segments
IT service companies
such as Accenture,
TCS
Technology product-
based companies
such as SAP, Oracle
Large banks with its
technology arm
Telecommunication
companies
17. Working from home willbe
the new norm after this
pandemic with companies
such asTCS shifting their
workforce to working from
home by 75%
•
ITCompanies 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 openAPIS and have
been acquired at 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?f
rom=mdr
https://techcrunch.co
m/2019/05/01/pluralsi
ght-will-acquire-
gitprime-for-170m/
WHY NOW
18. Achievability based on past evidences
Company Founded Investment raised Revenue Growth strategy
Gitprime 2015 $13.8 Million USD $14 Million USD Acquired at $170
USD
Agile craft 2013 $10 Million USD series
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