intelligent Engineering

Welcome to the new era of AI-augmented software delivery.

Improving developer productivity and software quality while codifying culture for future growth.

Learn how we helped Axi Financial Services recognize revenue from new markets in weeks, not months

See how intelligent Engineering works in practice

Introducing intelligent Engineering

Move beyond the ‘Copilot’ pilot. AI tools are everywhere, but they aren’t fixing delivery challenges alone. To get real value, courageous leaders need to wire AI workflows into their entire Software Development Life Cycle (SDLC), not just their integrated development environment.

While these leaders believe in AI’s ability to drive higher productivity per engineer; to codify their culture and to deliver higher quality software, they are looking for new partners with fresh ideas who can support safe adoption and drive measurable gains. intelligent Engineering is built for them; a practical approach to AI-augmented software delivery across the SDLC.

Many teams have adopted AI tools but haven’t seen the promised benefits, yet. The challenge isn’t generating code; it’s unifying standards and culture with new AI workflows.

AI for Software Engineering, Not(only) Code Generation

Greg Rieser, Head of Sales, North America

intelligent Engineering solves these challenges by blending human expertise with the power of AI.

Using our proven frameworks and experience we capture and then encode your context, patterns, tools and standards into our custom AI layer. We design and implement agentic workflows for planning, specs, architecture, coding, testing, release and operations, then govern them with organisational prompt libraries, templates and patterns your teams own.

Unlike ‘black box AI’ and tool-only pilots, intelligent Engineering combines transparency, guardrails, proof-of-value and measurement to safely embed AI into an operating model your squads can sustain.

Principles of intelligent Engineering

As part of our commitment to using AI responsibly, we have established five principles that govern how we safely and effectively work with AI:

AI auguments; humans stay accountable

The responsibility for outcomes always rests with those who use the AI, not the AI itself. You cannot delegate responsibility

Context is everything

The responsibility for outcomes always rests with those who use the AI, not the AI itself. You cannot delegate responsibility

Smarter AI needs smarter guardrails

The responsibility for outcomes always rests with those who use the AI, not the AI itself. You cannot delegate responsibility

Shape AI deliberately

The responsibility for outcomes always rests with those who use the AI, not the AI itself. You cannot delegate responsibility

Learning never stops

The responsibility for outcomes always rests with those who use the AI, not the AI itself. You cannot delegate responsibility

How intelligent Engineering Works

Shaping AI

The intelligent Engineering framework
begins with Shaping AI: we map
agentic workflows, codify standards
into prompts/templates, and connect
tools to your stack.

Leading AI

We then start Leading with AI -
delivery in a joint squad, applying
practices like specs-before-
implementation, test-driven mindset,
and human review across the SDLC.

Measure & Mature

Finally, we Measure & Mature -
tracking uplift, closing gaps and
productising what works so other
teams can adopt it with confidence.

Realising Efficiency and Productivity through intelligent Engineering

Leveraging the intelligent Engineering framework, demystify how AI drives productivity and efficiency gains across the SDLC to solve real-world problems

The benefits of intelligent Engineering

More productivity

Increased productivity per engineer: raising output without headcount.

Cultural Codification

Codification of your culture: your beliefs and behaviors reinforced through the tools you use everyday.

Zero lock-in

Zero lock-in by design: we prioritize reversibility and portability, ensuring you own your prompts, patterns and context.

Clients using intelligent Engineering

Revolutionizing Marine Conservation with a Scalable Data Platform

The world’s largest marine ecosystem, The Great Barrier Reef, is in peril. As climate change andmyriad other threats expose the reef to bleaching, it is paramount to gather data about The Reef - a task that cannot be accomplished by an individual or entity alone.In partnership with Citizens of the Great Barrier Reef, we embarked on an ambitious journey toharness technology for conservation. Our mission: to create a scalable, feature-rich data platform that would drive one of the world's largest...

Revolutionizing a Leading Automotive Giant's Digital Ecosystem through Innovation and Data-Led Strategies

In the pursuit of continuous improvement and industry transformation, we partnered with a leading automotive giant on a journey to modernise its digital ecosystem. This endeavour aimed to not only enhance the core products and technologies but also stimulate innovation, scale operations and instil data-led strategies at the heart of its operations. The purpose-built Extensible Data Platform revolutionizes the post-purchase usage lifecycle of vehicles. It facilitates real-time vehicle health and telemetry data, efficient fleet and trip management, tracking, safety alerts...

Driving Data-led Decision-making through Data Engineering for Superior Business Impact

Springer Nature is a global academic publishing company that advances discovery by publishing trusted research. Following the 2015 merger and subsequent growth with the acquisition of products, the company’s workflows became inundated with multiple systems and different data models driving article submissions from authors - a key business process. Data analysts across different teams would use several manual processes while navigating a complex ecosystem of multiple data stores to build an aggregate view of the business, identify trends and support...

Learn more from our intelligent Engineering experts

Our business is custom built for the AI era. Our role-agnostic teams teach as they build, wiring AI into everyday delivery and codifying ways of working so quality lasts. Learn more about how they do it.

What Happens Before and After the Code? AI Has a Role There Too!

Akshay Karle, Solution Consultant, UK

Driven by curiosity and a love for elegant problem-solving, I'm a technology enthusiast specializing in artificial intelligence and machine learning. With hands-on experience in building intelligent systems, I enjoy exploring the latest advancements in Al to create impactful products.

What Happens Before and After the Code? AI Has a Role There Too!

Akshay Karle, Solution Consultant, UK

Driven by curiosity and a love for elegant problem-solving, I'm a technology enthusiast specializing in artificial intelligence and machine learning. With hands-on experience in building intelligent systems, I enjoy exploring the latest advancements in Al to create impactful products.

What Happens Before and After the Code? AI Has a Role There Too!

Akshay Karle, Solution Consultant, UK

Driven by curiosity and a love for elegant problem-solving, I'm a technology enthusiast specializing in artificial intelligence and machine learning. With hands-on experience in building intelligent systems, I enjoy exploring the latest advancements in Al to create impactful products.

What Happens Before and After the Code? AI Has a Role There Too!

Akshay Karle, Solution Consultant, UK

Driven by curiosity and a love for elegant problem-solving, I'm a technology enthusiast specializing in artificial intelligence and machine learning. With hands-on experience in building intelligent systems, I enjoy exploring the latest advancements in Al to create impactful products.

Learn more about intelligent engineering

Ready to move beyond the pilot? Let’s assess your AI maturity and identify your agentic opportunities.
Reach out to us at contact@sahaj.ai for more information.

contact@sahaj.ai