Engineering & AI Delivery
Turn strategy into working AI systems and automated platforms. We design and build production-grade AI software, automation, and cloud-native platforms, integrating best-in-class AI stacks into enterprise infrastructure.
Outcome: Deployed AI and automation solutions. Cloud-native data and integration platforms. Measurable efficiency, cost, and performance gains with tracked ROI.
Building AI systems that are designed to last
Moving from design into delivery is where many AI initiatives struggle. Ideas become prototypes, prototypes become demos, and too often those demos are mistaken for production systems.
Engineering & AI Delivery is Surtori’s end-to-end build service for organisations that need AI systems to work in real environments. We design, build, and deploy AI solutions across MVP, prototype, and production settings, with security, scale, and long-term operation built in from the start.
What this service focuses on
We provide full stack AI and software engineering capability across the complete delivery lifecycle, including:
Our work typically includes:
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Engineering AI MVPs and prototypes with a clear route to production
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Designing and building production scale AI systems and services
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Integrating AI into enterprise platforms, workflows, and data environments
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Applying cloud native engineering practices across Microsoft, Google Cloud, and AWS
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Designing systems that support growth, resilience, and change
Everything we build is designed with real users, real data, and real constraints in mind.
Security, identity, and access built in
This includes:
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Secure authentication and authorisation models
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Role based access for internal users, external users, and third parties
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Clear separation between development, test, and production environments
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Auditable access and operational monitoring
Security is treated as a core engineering concern, not something added after delivery.
Data security, ownership, and regional control
Data trust is fundamental to AI delivery. We engineer solutions that give organisations control over their data, models, and intellectual property.
Our approach includes:
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Clear data ownership and intellectual property boundaries
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Client controlled access to data, models, and outputs
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Region specific deployment and data residency controls
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Alignment with sector, regulatory, and contractual requirements
This ensures AI systems can be deployed confidently across enterprise and regulated environments.
More than configuration
Rapid experimentation has its place, but many AI solutions today rely on lightly configured generative AI tools wrapped in low code interfaces. While this can demonstrate ideas quickly, it often introduces hidden risks around data security, access control, intellectual property, and long-term maintainability.
Our approach is different. We engineer AI systems as part of the wider technology landscape, integrating them securely into existing platforms, data environments, and operating models. The result is AI that can be trusted, governed, and evolved over time, not just demonstrated.
From MVPs to production systems
Outcomes you can expect
Implementation
Engineered AI MVPs, prototypes, and production systems.
Architectures
Control
Integration
AI solutions integrated into everyday operations.
Analysis
Measurable performance, reliability, and value outcomes.
When this service is right for you
Engineering & AI Delivery is well suited when:
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You need to move from design into real AI delivery
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Early AI initiatives must scale safely into production
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You want engineering accountability, not configuration support
How this fits into the journey
Digital & AI Operating Model Review™
Understand where AI creates value.
Digital & Operating™
Design how the organisation should operate with AI.
Digital Investment Alignment Plan
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Engineering & AI Delivery
Why Surtori
We approach operating model review through an engineering lens. Our focus is not producing reports, but creating the clarity required to design, build, and operate AI systems that deliver measurable value in real environments.
Ready to Transform?
Book a complimentary 30-minute Discovery Call to explore how our frameworks, engineers, and AI expertise can accelerate measurable value in your business.
Other Services
Digital & AI Operating Model Review™
Identify your biggest efficiency wins in 10 days.
Price Band: £8K–£25K
Outcome: Target operating model and roadmap aligned to business case.
Digital and Operating™
Identify your highest-value AI and automation opportunities in 10 days-grounded in engineering feasibility, data readiness, and cloud architecture.
Price Band: £8K–£25K
Outcome: AI and automation opportunity map. Cloud and data architecture implications. Target operating model and delivery roadmap aligned to ROI.
Digital Investment Alignment Plan
Prioritise AI and digital initiatives using engineering-led business cases, ensuring investment decisions are technically viable, fundable, and outcome-driven.
Price Band: £25K–£40K
Outcome: Data-driven transformation and AI investment roadmap. Sequenced delivery plan aligned to commercial and technical constraints
Embed & Optimise
Sustain and evolve AI capability through continuous optimisation, performance measurement, and platform enhancement.
Price Band: £5K–£10K/mo
Outcome: Operational AI systems continuously improved. Performance, cost, and value optimisation. Embedded AI operating capability within teams.
Rapid Innovation Studio
Design and build production-ready AI products at speed. We rapidly engineer MVPs, prototypes, and pilots using modern AI stacks, cloud services, and secure architectures—ready to scale.
Price Band: £50K–£150K
Outcome: AI-powered MVPs and prototypes delivered in weeks. Validated use cases with clear scale-up paths.
Delivery Intelligence & Data Analytics
Data and analytics capability for complex digital and engineering programmes. This service provides AI-enabled data pipelines, analytics, and reporting to support PMO, commercial, and delivery assurance functions in complex programme environments.
Price Band: £8K–£20K/mo
Outcome: Automated delivery and financial reporting across programmes. Predictive risk and performance insight based on live data. Improved visibility and decision support for PMO and leadership teams.