Rulify Pitch Deck

1. Rulify
Your Personal Email Butler

2. Time-consuming email management
+
+
Repetitive email triage
Email noise
999+

3. 1 hr
Unproductive, routine and
administrative activities
>50%
per day spent on email
management
2.5 h
per day spent on
unproductive messages
1 h
*P. Bornet, I. Barkin, J. Wirtz – INTELLIGENT AUTOMATION: Learn how to harness Artificial Intelligence to boost business & make our world more human, 2021
A day at work

4. AI-powered personal email butler that sorts
and processes your emails, reducing the need
for manual work using Email Rules.
Supercharged.

5. Key features
INTELLIGENT OPERATIVE
EXTENDABLE CUSTOMIZABLE
Use NLP to understand your emails and extract
key information from them.
Lets your emails work for themselves.
Receive, read and process automatically
Build your own flow using no code in-app
builder. Super charged email rules bring out the
maximum out of your workflow
Extend your workload and connect your email
events to custom actions, webhooks, MS Power
Automate flow...

6. Mailbox Actions
Rulify Rules
Intent recognition
Language detection
Sentiment Analysis
Private mails
Shared inboxes
How it works
Connect inbox - define rules - put it on auto-pilot
When if then
TRIGGER CONDITION ACTION

7. How to use
CUSTOMER SUPPORT
SALES LEAD
DOCUMENT PROCESSING
Forward to: German Agent
Extract information*
Create PDF*
Block dates on PMS
INTENT
Booking
LANGUAGE
German
Subject: Zimmerreservierung
From: guest@email.com
Body: Haben Sie ein freies
Zimmer für 2 Personen?
Create a ticket*
Move to folder: Urgent
Notify someone
Send a reply
INTENT
Customer Support
SENTIMENT
Negative
Subject: Not Working
From: user@email.com
Body: Angry message
OCR Document Scan*
Extract information*
Trigger MS Flow*
FROM
Sales
ATTACHMENT
Receipt
Subject: Receipt
From: sales@email.com
Attachment: Receipt.pdf

8. Rule Builder
Triggers
% Define events that trigger the automatio
% email is receive
% email is moved to folder
Conditions
% Create complex conditions to do the actionK
% Outlook conditions 3
% Intent recognitio
% Language detectio
% Sentiment analysiK
% AND/OR combinations
Outlook actions
% Define events to happe
% Outlook actions 3
% Webhoob
% Reply to main
% Create a drafy
% Zapier trigger

9. Intents
History based
Train model with existing dataset
Term frequency - inverse document frequency
Keyword based
Define keywords and synonyms
Word lemmatization
Text normalization technique

10. Testing Emails
Email Test
Enter custom email to see whether it will detect
an intent or trigger a rule.
My Inbox
Test on your own inbox
Test your rules in-app before putting them in
action

11. GDPR, Security, Privacy
GDPR
GDPR Compliant
P( ) X
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Emails are processed through
GraphAPI and flow through our
engine without ever being saved.
When we train intents, the result
is a black box model, consisting
of zeros and ones, from which
we can't extract any information
The model produces a
percentage of probability that
the intent is found in the email
AES 256 Encryption No storing of private data

12. Target Audience
Customer Support
Companies with internal customer support
Repetitive questions and processes
Incident management
Email Power Users
Business professionals who receive alot of emails
Zero inbox policy
Sales
Sales teams lead automation
Sales Leads / Booking Inquiries
Hotel Camping Industry

13. Feature backlog
First, we make the rule engine, then we supercharge it
Gmail
Integration
Phishing Scam
detection
PDF
Generation
OCR
Document
Scanning
Knowledge
Extraction
OpenAI
Integration
IF/ELSE
Flows
Webhooks
Regex text
extraction
Advanced
analytics
...and
many more
Email
autocomplete
Multiple
Mailboxes

14. rulify.ai
Outlook rules.
Supercharged.
Antonio Matušan
Product Manager, bonsai.tech