Skip to main content

Case Studies

Real Problems, Real Solutions

See how AI agent systems solve complex problems across education, business, and personal life.

Professional Services

Client Onboarding Automation

1

The Problem

Onboarding new clients takes 45+ minutes of manual admin work every time

  • Copying details from emails to spreadsheets by hand
  • Sending the same welcome email over and over
  • Creating folders and scheduling calls manually
  • Dropping the ball on follow-ups when busy
2

The Solution

End-to-end automation from enquiry to first meeting — no copy-paste needed

  • +Automatic CRM entry when enquiry arrives
  • +Personalised welcome email sent instantly
  • +Client folder structure created automatically
  • +Calendar link sent with availability
3

The Results

From 45 minutes down to 2 minutes per new client

96%

time saved

2 min

per client

0

manual steps

8hrs

build time

"

I used to dread onboarding new clients because of all the admin. Now I just check my CRM and everything's already there. It's like having a virtual assistant that never sleeps.

Consultant, Professional Services

Client Onboarding

Before

45 min/client

Receive enquiry email

5 min

Copy details to CRM

10 min

Send welcome email

5 min

Create client folder

5 min

Schedule discovery call

10 min

Prepare meeting notes

10 min

After

2 min/client

Receive enquiry email

Automated

0 min

Copy details to CRM

Automated

0 min

Send welcome email

Automated

0 min

Create client folder

Automated

0 min

Schedule discovery call

Automated

1 min

Prepare meeting notes

Assisted

1 min
45 min/client2 min/client
Manual
Automated
Assisted

Tech Stack

Make.comGmail APIGoogle DriveCalendlyNotion

Finance & Operations

Invoice Processing System

1

The Problem

Processing invoices manually takes 60+ minutes per batch with frequent errors

  • Extracting details from PDFs by eye
  • Cross-checking against purchase orders manually
  • Missing discrepancies until it's too late
  • Updating spreadsheets by hand
2

The Solution

AI extracts, matches, and flags — you just review what matters

  • +Automatic PDF data extraction
  • +Smart matching against purchase orders
  • +Discrepancy detection and flagging
  • +Auto-update to tracking system
3

The Results

From 62 minutes to 10 minutes per batch, with fewer errors

84%

time saved

10 min

per batch

95%

auto-processed

12hrs

build time

Invoice Processing

Before

62 min/batch

Receive invoice

2 min

Extract key details

10 min

Match against PO

15 min

Flag discrepancies

10 min

Review flagged items

20 min

Update tracker

5 min

After

10 min/batch

Receive invoice

Automated

0 min

Extract key details

Automated

0 min

Match against PO

Automated

0 min

Flag discrepancies

Automated

0 min

Review flagged items

Manual

10 min

Update tracker

Automated

0 min
62 min/batch10 min/batch
Manual
Automated
Assisted

Tech Stack

PythonClaude APIGoogle SheetsGmail API

Customer Service

Support Ticket Handler

1

The Problem

Support tickets take 25 minutes each, with repetitive research every time

  • Reading and understanding each message from scratch
  • Searching knowledge base for answers
  • Writing similar responses over and over
  • Logging everything manually
2

The Solution

AI drafts responses from your knowledge base — you review and personalise

  • +Automatic categorisation of issue type
  • +Knowledge base search and synthesis
  • +Draft response with relevant info
  • +Human review for personalisation
3

The Results

From 25 minutes to 3 minutes per ticket, happier customers

88%

time saved

3 min

per ticket

90%

first-response rate

10hrs

build time

Support Ticket Handling

Before

25 min/ticket

Read customer message

3 min

Categorize issue type

2 min

Search knowledge base

5 min

Draft response

8 min

Review and personalise

5 min

Send and log

2 min

After

3 min/ticket

Read customer message

Automated

0 min

Categorize issue type

Automated

0 min

Search knowledge base

Automated

0 min

Draft response

Automated

1 min

Review and personalise

Assisted

2 min

Send and log

Automated

0 min
25 min/ticket3 min/ticket
Manual
Automated
Assisted

Tech Stack

n8nClaude APINotionGmail APISlack

Marketing & Content

Content Creation Pipeline

1

The Problem

Creating one piece of content takes 2-3 hours of research and writing

  • Hours spent researching each topic
  • Staring at blank pages trying to start
  • Editing takes longer than writing
  • Formatting and scheduling is tedious
2

The Solution

AI handles research and first draft — you add your voice and publish

  • +Automated topic research and synthesis
  • +AI-generated outline based on your style
  • +First draft in your brand voice
  • +Human refinement and personal touches
3

The Results

From 160 minutes to 48 minutes per piece, 3x more output

70%

time saved

48 min

per piece

3x

output increase

16hrs

build time

Content Creation

Before

160 min/piece

Research topic

30 min

Create outline

15 min

Write first draft

60 min

Edit and refine

30 min

Add visuals/formatting

20 min

Schedule/publish

5 min

After

48 min/piece

Research topic

Automated

5 min

Create outline

Automated

2 min

Write first draft

Automated

10 min

Edit and refine

Assisted

15 min

Add visuals/formatting

Manual

15 min

Schedule/publish

Automated

1 min
160 min/piece48 min/piece
Manual
Automated
Assisted

Tech Stack

Claude APINotionBufferMake.com

Productivity

Email Inbox Automation

1

The Problem

Managing email takes 60+ minutes daily and still things slip through

  • Checking inbox constantly throughout the day
  • Sorting and categorising manually
  • Writing similar responses repeatedly
  • Missing important emails in the noise
2

The Solution

AI sorts, drafts, and flags — you just review and send

  • +Automatic email categorisation
  • +Priority flagging for urgent items
  • +Draft responses for common queries
  • +Archive processed emails automatically
3

The Results

From 60 minutes to 12 minutes daily, nothing gets missed

80%

time saved

12 min

daily

0

missed emails

6hrs

build time

Email Inbox Automation

Before

60 min/day

Check inbox for new emails

5 min

Categorize by type (support, sales, personal)

10 min

Draft standard responses

20 min

Flag urgent items

5 min

Review and send responses

15 min

Archive processed emails

5 min

After

12 min/day

Check inbox for new emails

Automated

0 min

Categorize by type (support, sales, personal)

Automated

0 min

Draft standard responses

Automated

2 min

Flag urgent items

Automated

0 min

Review and send responses

Manual

10 min

Archive processed emails

Automated

0 min
60 min/day12 min/day
Manual
Automated
Assisted

Tech Stack

Gmail APIClaude APIGoogle SheetsMake.com

The Pattern

What Makes These Projects Different

Multi-Agent Systems

Not one prompt, but coordinated teams of specialized AI agents working together

Time Savings

Every automation designed to give you hours back — measured in real time saved

Measurable Impact

Every project designed to deliver quantifiable results, not just "cool technology"

Production Ready

Full applications with UI, not just prompts — deployed and working

Your Turn

Got a Problem Worth Solving?

Whether it's automating a workflow, building a custom tool, or creating an AI agent system — let's talk about what's possible.