AI is transforming the software development life cycle (SDLC) into a product delivery life cycle (PDLC). Our trademarked Gen-e2 approach accelerates AI and Gen AI adoption while developing market-ready products and services. We believe the AI stack isn’t just about optimizing processes, but fundamentally reinventing delivery practices, roles and tools.

Transform delivery practices

We redefine the role of the traditional software developer into an "AI Product Engineer", who not only leverages AI tools, but also masters the art of "prompt context." Our approach emphasizes smaller, truly lean teams that enable faster delivery through innovative practices like Mob AI programming.

Change the way we code

We’ve revolutionized our coding approach by focusing on context and prompt rather than just manual practices. Our goal is to harness the full potential of AI tools to generate 95% of code, documentation, architecture diagrams, and infrastructure as code.

Leverage an AI-friendly stack

We utilize a proven AI-friendly stack that integrates AI across the entire delivery and product life cycle (PDLC). Our Gen-e2™ approach allows us to seamlessly design, code, and test for back-end, APIs, and front-end, rather than applying AI in a fragmented manner across just a few steps.

Transform delivery practices

We redefine the role of the traditional software developer into an "AI Product Engineer", who not only leverages AI tools, but also masters the art of "prompt context." Our approach emphasizes smaller, truly lean teams that enable faster delivery through innovative practices like Mob AI programming.

Change the way we code

We’ve revolutionized our coding approach by focusing on context and prompt rather than just manual practices. Our goal is to harness the full potential of AI tools to generate 95% of code, documentation, architecture diagrams, and infrastructure as code.

Leverage an AI-friendly stack

We utilize a proven AI-friendly stack that integrates AI across the entire delivery and product life cycle (PDLC). Our Gen-e2™ approach allows us to seamlessly design, code, and test for back-end, APIs, and front-end, rather than applying AI in a fragmented manner across just a few steps.
GRAPHIC ELEMENT
Vector (1)

Key Benefits & Target Indicators 

2-5x faster

software delivery

Our AI-driven software engineering practices accelerate development cycles, cutting time-to-market through automation and optimized workflows.

>50%

cost savings

After implementing AI and Gen AI tools, our clients see a sizable reduction in costs.

30% boost in

productivity

With enhanced collaboration and AI-powered tools, we enable faster delivery of high-quality AI solutions.

+90% team confidence

on AI delivery

Our approach instills development teams with a new sense of conviction in integrating AI tools into their daily work.

2-5x faster

software delivery

Our AI-driven software engineering practices accelerate development cycles, cutting time-to-market through automation and optimized workflows.

>50%

cost savings

After implementing AI and Gen AI tools, our clients see a sizable reduction in costs.

30% boost in

productivity

With enhanced collaboration and AI-powered tools, we enable faster delivery of high-quality AI solutions.

+90% team confidence

on AI delivery

Our approach instills development teams with a new sense of conviction in integrating AI tools into their daily work.

Transport & Logistics | PALO IT Client Story

Generative AI driven digital product development

Singapore Airlines white logo

Generative AI driven digital product development

Challenge:

SIA wanted to deploy a cutting-edge, AI software engineering methodology for one of their digital product squads. Generative AI’s transformative capability in digital product development was tested by this squad, and the positive results from this initial PoC has led to a plan to further test and scale this innovation to wider IT teams.

Solution:

The PoC was centered on PALO IT's Gen-e2 methodology, an approach that approach integrates GitHub Copilot deeply across every phase of a project to empower developers with an AI peer programmer, transforming the linear SDLC into a more streamlined PDLC.

5 weeks

For feature development, versus forecasted 9-week effort.

90%

Build success right 3 weeks into the PoC.

Productivity gains

Through the the Gen-e2 methodology, powered by GitHub Copilot.

Insurance | PALO IT Client Story

Revolutionizing software engineering with AI

HCF white logo

Revolutionizing software engineering with AI

Challenge:

PALO IT collaborated with HCF, Australia’s largest not-for-profit health fund, to deploy the Gen-e2 AI engineering methodology to its already advanced tech teams. The move reflects the fund’s long-term commitment to leading in digital health, and to delivering better outcomes for members.

Solution:

The first pilot project selected by HCF was a new innovation initiative designed to boost Australians' activity levels through social interaction. Active Locals is a mobile app that helps people find groups suited to their interests and fitness levels, with a strong focus on building community.

86%

Overall productivity gains.

4 months

Timeframe, from conception to delivery.

95%

Of code, documentation, architecture diagrams, infrastructure as code produced by Gen AI.

Banking & Finance | PALO IT Client Story

AI-driven accounting platform

Eleven white logo

AI-driven accounting platform

Challenge:

Eleven, a FinTech scale-up, aimed to revolutionize the accounting industry by developing a cloud-based platform that significantly reduces the time accountants spend on manual data processing by using AI.

Solution:

PALO IT partnered with Eleven to design and develop an innovative accounting platform and build Eleven’s AI-driven software engineering practices and team.

99% accurate

Document digitization.

400 hours

Encoding time saved per year, per accountant.

10 second

Invoice and bill processing time.

Insurance | PALO IT Client Story

Generative AI for insurance contracts

In Clear Terms logo

Generative AI for insurance contracts

Challenge:

The insurance industry is burdened by overly complex contracts that are difficult for policyholders to understand. Managing and updating these contracts is time-consuming, with potential for human error during document comparison.

Solution:

In Clear Terms partnered with PALO IT to create DAIA, a SaaS solution leveraging generative AI to simplify insurance contracts. DAIA analyzes document quality, suggests improvements, and automates document comparison and standard contract creation.

90 seconds

Reduced document processing time down from one week.

Grand Prix

In clear terms & AXA win the Contractualization and Grand Prix at the Cas d’OR de l’Expérience Client Assurance 2024.

Automation

Freeing up operational teams to focus on more valuable tasks.

Partnering with the best in tech

Freedom of Mobility Forum
Bain & Company
OpenAI
Claude
Microsoft
AWS
Visual Studio
Google-Cloud
MongoDB
CodeKeep logo
Unlock your business's potential with our AI-powered software engineering solutions—let's innovate together.

More insights