Over 50+ business trust us

Turn your slow, manual processes into fully automated workflows.

Pluteau AI-proofs your business

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Trusted by Teams Who Value Efficiency:

Our Services

If it’s repetitive, structured, or boring, we automate it.”

We design, develop, and implement automation tools that help you work smarter, not harder

Our Process

Our Simple, Smart, and Scalable Process

Step 1

Discovery

A free 30-minute consultation to uncover your challenges, explore solutions, and ensure Pluteau is the right fit for your needs.

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

Chatbot system

Efficiency will increase by 20%

Workflow system

Update available..

Sales system

Up to date

Step 2

Strategy

On-site process mapping and tailored AI strategy design to identify and prioritise high-impact automation opportunities.

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Analyzing current workflow..

System check

Process check

Speed check

Manual work

Repetative task

Step 3

Execution

Seamless deployment of AI and automation solutions, integrating them into your business for maximum impact.

Our solution

Your stack

Our solution

Your stack

Step 4

Evolution

Ongoing optimisation through monthly check-ins, ensuring your AI systems deliver value, stay bug-free, and evolve with your business.

class AutomationTrigger:
def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"

def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."
def get_status(self):
return f"Status: {self.status}"
class AutomationTrigger:
def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"

def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."
def get_status(self):
return f"Status: {self.status}"

class AutomationTrigger:
def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"

def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."
def get_status(self):
return f"Status: {self.status}"
class AutomationTrigger:
def __init__(self, threshold):
self.threshold = threshold
self.status = "inactive"

def check_trigger(self, value):
if value > self.threshold:
self.status = "active"
return "Automation triggered!"
else:
return "No action taken."
def get_status(self):
return f"Status: {self.status}"