Software Consultancy – AI-Augmented Software Engineering | Vertex Agility
// Specialism / 04

Software
Consultancy.

Software engineering consulting and legacy modernisation through AI-augmented engineering pipelines. Secure, high-performance applications governed against a technical roadmap built for your specific outcome.

Engineered circuitry representing high-performance software systems

// Strategic Technology Partners
Microsoft AWS Salesforce Google

// The Specialism

Architecture first.
AI-augmented throughout.

Engineering without architectural governance is expensive rework. Our software consultancy delivers full-stack engineering, microservices, and legacy software modernisation against a technical roadmap built for your specific outcome – with AI-augmented engineering pipelines covering code review, test generation, and refactoring. The result: roadmap-to-production timelines compress without quality dropping.


// Key Capabilities

What we
deliver.

Five capability areas, each governed by senior Software practitioners and tied to a clear business outcome. No capability exists for its own sake – each one serves your programme's specific objective.

CAP_01

Custom Engineering

High-performance applications built to your architectural standards – not a reused playbook from another client's programme. AI agents assist the build; senior engineers govern every decision.

CAP_02

Microservices & APIs

Scalable, modular architectures designed for interoperability, resilience, and the ability to evolve without a full rewrite when the product roadmap shifts.

CAP_03

AI-Augmented Engineering Pipelines

AI-assisted code generation, code review, test creation, and refactoring sit inside CI/CD by default – compressing timelines and lifting baseline quality, not replacing engineers.

CAP_04

Security & Performance

OWASP-grade security and load-tested performance engineered in from the start – not audited in after go-live. AI-assisted SAST and dependency scanning catch issues before they merge.

CAP_05

Cloud-Native & Serverless

Cloud-native and serverless architectures that reduce operational overhead and scale without engineering intervention – ready for AI-driven traffic shapes you can't always predict.


// Insights & Case Studies

Software outcomes
we've delivered.

A selection of software programmes our clients have entrusted to us – from platform re-engineering to enterprise-scale application development.


// The Team

Senior practitioners.
No exceptions.

A selection of the senior Software practitioners who lead and deliver our client engagements. The people you meet in the discovery are the people who deliver.

Meet just some of the Vertex Agility Software Consultancy team.

Alexandr
Alexandr
Lead Developer / Architect
Software Architecture, Technical Leadership, Java, Spring, Microservices, AWS, Docker, Kubernetes, CI/CD
Andriyan
Andriyan
Full-stack Software Engineer
Software Architecture, Backend Development, Frontend Development, DevOps, QA
Artur
Artur
Scrum Master / Project Manager
Scrum, Agile, SAFe, PRINCE2, DevOps, ServiceNow, ITSM, Network Infrastructure
Benjamin
Benjamin
Sr. Software Engineer
C#, .NET, Java, React, Angular, TypeScript, AWS, Azure, GCP, Docker, Kubernetes, Microservices
Bernard
Bernard
Data Engineer
Data Engineering, ETL, Python, PySpark, Azure, SQL, Tableau, Pandas, Kedro
Daniel
Daniel
Technical Leader
React, Angular, Node.js, TypeScript, PHP, Laravel, C#, .NET, MySQL, PostgreSQL, Software Architecture
Ewa
Ewa
Change & Release Manager
ITIL, Change Management, Release Management, SAP, Oracle, GxP, SOX
Juan Manuel
Juan Manuel
QA Automation Engineer
Selenium, Cypress, Playwright, JMeter, K6, Java, Python, JavaScript, TypeScript, API Automation
Kamil
Kamil
Scrum Master & Agile Coach
Agile, Scrum, Kanban, Nexus, Digital Transformation, Team Coaching, CI/CD
Mihai
Mihai
Sr. React & Node.js Developer
Next.js, React, Node.js, Web Development, Software Architecture
Oleksandr
Oleksandr
Sr. Software Engineer / Technical Lead
Java, Spring, AWS, Azure, GCP, Kubernetes, Docker, Microservices, Kafka, Technical Leadership
Parvesh
Parvesh
Sr. Fullstack Engineer
TypeScript, React, Node.js, Nest.js, Next.js, AWS, Azure, Microservices, API Development
Piotr
Piotr
Sr. Software Engineer
Java, Scala, Spring Boot, GCP, AWS, Kubernetes, Docker, DevOps, Distributed Systems
Piotr
Piotr
QA Automation Engineer
Selenium, Cypress, Playwright, JMeter, K6, Java, Python, JavaScript, TypeScript
Przemysław
Przemysław
Sr. Frontend Developer
Angular, React, JavaScript, NgRX, Redux, CI/CD, Cypress, UI/UX Architecture
Przemysław
Przemysław
System Engineer
Linux, Oracle DBA, Cluster Management, Virtualisation, Cloud Technologies, Network Management
Radosław
Radosław
Lead Technical Specialist
Managed File Transfer, IT Infrastructure, File Transfer Engineering, Application Management, ITSM
Robert
Robert
Tech Lead / Full Stack Developer
Technical Leadership, Web Technologies, AI, Node.js, Full Stack Development
Robert Daniel
Robert Daniel
QA Automation Engineer
Selenium, Gatling, GitHub Actions, JavaScript, Java, Test Automation, Performance Testing
Stefan
Stefan
Sr. Backend Software Engineer
C#, .NET, Event-Driven Architecture, Microservices, GCP, AWS, Azure, SQL, PostgreSQL
Teresa Marín
Teresa Marín
QA Lead
QA Strategy, Manual Testing, Cypress, Cucumber, Test Automation, Agile, Jenkins, MySQL

// FAQ

Frequently
asked questions.

Common questions we get from senior technology leaders evaluating this work. Direct answers, no hedging. Open one to read in full.

AI agents embedded across the engineering pipeline – assisted code generation, automated test scaffolding, code review at PR time, refactoring proposals for legacy modernisation. Senior engineers make the architectural and design decisions. The AI handles the repetitive translation and validation work that used to slow delivery down. Faster output on a higher quality baseline.

Governance lives in the pipeline. Architectural decision records for every significant call. Automated checks against the agreed architecture as part of CI. And senior practitioners with explicit authority to slow things down when a shortcut would create permanent debt that takes years to repay. Speed comes from clearing the right obstacles out of the way – never from skipping the obstacles that matter.

Yes. The rescue starts with a clear-eyed assessment – code health, team capability, process maturity, stakeholder alignment, the works. Then a sequenced recovery plan. Stabilise. Rebuild the foundations. Resume delivery on a defensible cadence. Our published case study on rescuing a failing cost-optimisation platform documents the pattern in detail, including the parts that hurt.

Programme delivery is the default. Senior-led, outcome-aligned engagements are where this model creates the most value. We do place senior individuals into client teams when the engagement specifically calls for it. We won’t compete with body-shop pricing on junior contractors. The model is built around senior practitioners shaping outcomes, never headcount on a rate card.

Strangler pattern. New services run alongside the legacy system. Capabilities move across one module at a time. The old system retires in stages as traffic shifts onto the new estate. AI-assisted code translation accelerates the discovery and refactoring phases. Rip-and-replace earns its place only when the legacy system is genuinely unsalvageable, which is rarer than the proposal deck usually claims.


// Explore More

Other
specialisms.

Four areas, one standard. Each specialism is led by senior practitioners with deep domain expertise – explore the others.

// 01

Applied AI & GenAI Consultancy

Most AI deployments are performance theatre. Our generative AI consulting practice integrates AI – from workflow automation and intelligent decision-making to custom LLMs and agentic systems – where it demonstrably pays back, and we'll tell you directly when it won't.

Explore AI Consultancy
// 02

Cloud Consultancy

AI-assisted cloud architecture and migration across AWS, Azure, and GCP. AI agents generate IaC, forecast spend, and harden zero-trust controls – with FinOps governance and compliance built in from day one, not bolted on after the bill arrives.

Explore Cloud Consultancy
// 03

Data Consultancy

Most organisations have more data than they can act on. We build AI-ready data platforms, AI-augmented pipelines, and production ML foundations that close the gap between data collected and decisions made – with governance and lineage architected in from the start.

Explore Data Consultancy
// Get in touch

Got a software challenge?
Let's build it.

Send us a brief and we'll come back within one working day with a senior Software consultant – and a clear sense of how to start.