Strategy, engineering and AI — connected through delivery.
Vitalos combines consulting with hands-on engineering, from problem definition through production and ongoing improvement.
Three ways to look at what we do
Complex problems often need more than one practice. You still work with one integrated team and one accountable engagement lead.
- Practices are our capabilities.
- Solutions are problems we solve across practices.
- Offers are bounded, practical ways to start.
What We Do
Practices
Vitalos Consulting
Clarity, transformation choices, roadmaps and architecture before expensive execution.
Vitalos Engineering
Serious production software, modernisation, platforms, integration and reliability.
Vitalos AI & Data
AI and data from opportunity and foundations through production and managed operation.
Vitalos Experience
Human-centred products, services, commerce and accessible digital experiences.
Vitalos Managed Services
Reliable operation, support and continuous improvement for systems Vitalos builds or responsibly inherits.
Solutions
Solutions
AI Transformation
Turn AI ambition into operational value.Business Process Modernisation
Redesign the work, then automate and integrate it.Digital Product Transformation
Discover, design, engineer, launch and improve a digital product.Application Modernisation
Modernise in controlled stages towards a platform you can keep changing.Data & Intelligence Transformation
Build the foundation, then the intelligence on top of it.Technology Recovery & Reliability
Triage a critical platform, establish a known baseline, stabilise and remediate, then operate it.
What We Do
Offers
Digital Transformation Discovery
Short engagementTurn an ambiguous need to modernise into a coherent, prioritised plan: current state, future state and roadmap.Technology Health Assessment
Short engagementFind out what is wrong, risky or holding a platform back, and what to fix first.AI Opportunity Assessment
Short engagementFind the AI opportunities worth building: viable use cases ranked by value, feasibility, data readiness and risk.AI Prototype Sprint
Short engagementTest the highest-value AI hypothesis quickly, with real workflows and data where appropriate, and decide on evidence.Custom Digital Product
Long engagementBuild a new product, portal, workflow platform or application, designed around measurable user and business outcomes.Application Modernisation
Long engagementModernise, replace or progressively refactor ageing software to reduce technical constraint and restore the ability to change.Systems Integration
Medium engagementConnect disconnected platforms, services and data flows so information moves reliably and manual handoffs disappear.Business Process Automation
Medium engagementRedesign and automate repeatable operations, combining workflow, integration and AI.Data & BI Modernisation
Medium engagementCreate a usable data foundation and the reporting and decision systems built on it.Customer Experience Transformation
Medium engagementImprove the end-to-end customer digital journey, connected to the processes and systems behind it.Engineering Rescue
Medium engagementStabilise or complete a slow, unstable, unfinished or poorly engineered product, starting from a known baseline.Managed Engineering & Application Care
OngoingOngoing ownership and improvement of live applications: maintenance, fixes, updates, incident support and retained engineering capacity.Product Discovery
Short engagementDefine a new product before major engineering investment: validated problem, users, journeys, scope and backlog.
How We Work
From strategy to production
Start with consulting or come straight to engineering. Every engagement follows one delivery lifecycle, with quality gates never waived to protect a date.
- Should Vitalos pursue this work? We weigh the problem, sponsor, urgency, budget, complexity and risk, then pursue, clarify or decline.
- What is actually happening and why? We gather evidence on users, processes, systems, data, risks and success measures before large commitments.
- What exactly should be done? Scope, outcomes, architecture, roadmap, backlog and acceptance, clear on what is included and excluded.
- How will the solution work? Service, interface, technical, integration, data and security design, with material choices in decision records.
- Can we build it safely and incrementally? Working increments with version control, peer review, automated checks and controlled environments, to Vitalos standards.
- Is it fit for release and use? Functional, security, performance, accessibility, data and readiness checks, AI evaluation where relevant, and named client acceptance.
- Can we move to production safely? Deployment, migration, runbooks, monitoring, rollback and training. A deadline is never approval to skip review, validation or rollback planning.
- Can the live service meet its commitments? Monitoring, incident response, support, maintenance and reporting, with ownership made explicit at service transition.
- What should change next? We review outcomes, incidents, cost, user friction and technical debt, and agree the next roadmap.