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Deployment & Delivery

AI that fits the way you work

We implement your AI strategy by embedding automation, assistants, and intelligence into the systems and workflows you already use. We use no-code tools to prove value fast, without complex dev work or disruption to your team.

No custom model building. No lengthy integration projects. Just results.

Deployment Services

End-to-end delivery of AI solutions that work within your existing technology stack

Our Delivery Process

A structured approach to deliver value fast without the dev burden

Establish a clear vision

Define how gen AI integrates with your overall corporate strategy

Establish a clear vision

Define how gen AI integrates with your overall corporate strategy

Establish a clear vision

Define how gen AI integrates with your overall corporate strategy

Prioritise high-impact use cases

Focus on opportunities that align with business goals

Prioritise high-impact use cases

Focus on opportunities that align with business goals

Invest in capabilities

Develop the necessary skills; empower teams to leverage gen AI effectively

Invest in capabilities

Develop the necessary skills; empower teams to leverage gen AI effectively

Code

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class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom AI Agent development

Develop AI agents that integrate seamlessly with your tools

Code

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class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom AI Agent development

Develop AI agents that integrate seamlessly with your tools

Code

1

2

3

4

5

class AutomationAgent:
def __init__(self, activation_limit):
self.activation_limit = activation_limit
self.current_mode = "idle"

def evaluate_task(self, workload_value):
if workload_value > self.activation_limit:
self.current_mode = "engaged"
return "Automation agent has been successfully activated!"
else:
return "No activation needed. Agent stays idle."
def get_current_mode(self):
return f"Current operational mode: {self.current_mode}"

Custom AI Agent development

Develop AI agents that integrate seamlessly with your tools

Automated Workflows

Build intelligent workflows that automate multi-step processes across tools and platforms. Drive Organisational change

Automated Workflows

Build intelligent workflows that automate multi-step processes across tools and platforms. Drive Organisational change

Measure and demonstrate value

Use data-driven insights to continuously improve and demonstrate the value of your efforts.

Measure and demonstrate value

Use data-driven insights to continuously improve and demonstrate the value of your efforts.

Measure and demonstrate value

Use data-driven insights to continuously improve and demonstrate the value of your efforts.

Ready to Start Automating with AI?

Let's discuss your specific automation needs and create a delivery plan that fits your timeline and budget.