Safe AI
For Engineering Organisations

AI adoption looks straightforward until it meets a real engineering environment. Safety constraints, legacy systems, sensitive data and regulatory obligations change the picture entirely. Build Your AI partners with engineering firms to move from uncertainty to production AI, without cutting corners on governance or security.

Delivered AI training and advisory to500+ engineersacross the UK & European engineering firms
RailManufacturingConstructionAutomotiveEnergyAerospaceHealthcareInfrastructureRailManufacturingConstructionAutomotiveEnergyAerospaceHealthcareInfrastructure

What we do

We work with engineering organisations that need AI to be safe, private, and fit for operational use. We cover the full journey from strategy through to deployment and team capability.

01

AI Strategy and Advisory

Most organisations know AI has potential but lack clarity on where to start and what is safe to implement.

We work with your stakeholders to assess data readiness, identify high-impact use cases and produce a roadmap that procurement and delivery teams can act on:

  • Architecture direction and governance considerations
  • Risk assessment and guidance on secure or private AI
  • Prioritisation of AI usecases that fit your constraints

The output is a focused plan that reduces wasted investment and avoids the wrong commitments early.
GET IN TOUCH
02

AI Solutions & Engineering

We design and build AI systems tailored to engineering environments. This includes agent-based workflows, knowledge assistants, internal copilots, and document interaction platforms. Engagements start with a targeted pilot to demonstrate measurable value before progressing to production.
GET IN TOUCH
03

Data Engineering & Infrastructure

AI work fails when the underlying data is inaccessible, inconsistent, or poorly structured. We design and implement data foundations that support operational AI, covering pipelines for measurement and IoT data, storage architecture, and structured preparation that makes data auditable and usable.
GET IN TOUCH
04

Bespoke AI Modelling & Analytics

For organisations with specialised operational or sensor data, we develop machine learning models aligned to your engineering context. This includes fine-tuning on domain language and documents, handling engineering-specific edge cases, and deploying within secure environments where accuracy and transparency are non-negotiable.
GET IN TOUCH
05

Training & Capability

Our training programmes are built for engineers, not general audiences. Courses are delivered through the Institution of Mechanical Engineers and Engineers Ireland, covering AI for Engineers, Foundation Python, AI Modelling on Measurement Data, Data Processing at Scale, and Data Science and Statistics. The goal is a team that can operate and extend AI systems independently, not one that depends on external support to function.
GET IN TOUCH

The Safe AI Adoption Ladder Blueprint

Build Your AI support engineering organisations across the full AI adoption journey to bridge the gap between aspiration and implementation. Engineering organisations face constraints regulatory, technical and operational that consumer-focused AI tools don't address.

AI adoption in engineering cannot follow the same path as software or marketing sectors. Risk tolerance is lower. Systems are more complex. Failure has real consequences.

Most engagements start with training because it is the fastest, lowest-risk way to align engineering teams on what “good” looks like. However, regardless of entry point, our role is the same: to move you safely from exploration to production.

1. Establish the Foundation

Build Awareness and Understanding

For organisations early in their journey, we build internal awareness and shared understanding through targeted workshops and executive briefings. We identify and shape candidate AI use cases, agree the guardrails for what is safe and realistic, and align stakeholders on opportunities and risks.

2. Identify and Prioritise

Map Use-cases and Plan Roadmaps

We work with leadership and operational teams to identify where AI can deliver measurable impact. This involves evaluating data landscape and AI readiness, identifying operational constraints and risks, and defining a realistic, prioritised roadmap.

3. Prove Value

Prototype and Pilot Build

Before committing to full-scale deployment, we build a focused pilot around a clearly defined use case. The pilot is evaluated against measurable success criteria including performance, usability, cost, and operational fit. This stage provides evidence for decision-making and reduces uncertainty.

4. Deploy & Scale

Optimise, Scale and Maintain

Once value is proven, the solution is engineered for production. We implement secure deployment, integrate with existing systems, and put in place monitoring and operational playbooks. Alongside delivery, we enable your team through structured knowledge transfer so they can operate, maintain, and extend the system independently.

We understand engineering rigour and real constraints

Engineering organisations adopt AI more slowly than other sectors because the stakes are higher. Build Your AI is built around that reality, not despite it. Build Your AI bridges that gap. Our approach is grounded in what engineering teams actually need, respecting security, data governance, and the procurement processes that protect your organisation. We are private by design, with delivery that respects security, data boundaries, and procurement scrutiny. We also have a credible training pedigree with courses delivered through the Institution of Mechanical Engineers (IMechE).

Grounded in engineering

We hold Chartered Engineer status and bring hands-on experience from industrial environments, not generic software deployment models. Our training programmes, delivered through the Institution of Mechanical Engineers, have reached over 500 engineers across the UK and Europe.

Advisory and delivery in one

We provide objective strategic guidance without vendor bias, and have the technical capability to design, build, and deploy solutions ourselves. You get honest recommendations backed by practical execution.

Private and secure by design

AI systems are designed with data boundaries, governance requirements, and security standards built in from the start, not retrofitted after deployment.

Who we work with

Engineering Managers

Those directly accountable for delivery outcomes. They need solutions that work within existing systems, meet security requirements, and can be maintained by their teams without creating technical debt or dependency.

Digital and Innovation Leads

Professionals tasked with translating strategic AI ambitions into tangible, deployed capability. They face the challenge of moving from boardroom enthusiasm to production systems that withstand operational scrutiny.

Procurement Teams

Those responsible for qualifying suppliers against criteria that matter such as defined scope, demonstrable security credentials and credible delivery risk assessment. They need vendors who understand governance frameworks and can provide transparent, auditable proposals.

Trusted by engineers

Pandrol logo

Tom Williams

Head of Design and Process Engineering, Pandrol

An informative 2 days on the IMechE AI for Engineers course with Ali Parandeh, CEng.

Lots of real world cases looked at and 5 project plans set for specific work packages in Pandrol product and process development.
DBESG logo

Paul Butterworth

Engineering Director, DB ESG

We have a broad range of people who work for us, from a broad range of backgrounds. We needed a trainer who was very good at moving round a subject, working out who knew what and what they wanted to get out of the course. That person is very much Ali Parandeh. He is the trainer the IMechE use for AI and is an expert in the field. He is exceptional.

Without the context and the technical understanding of AI that Ali taught us, I almost feel we wouldn’t have been able to see the wood for the trees. We are much closer to understanding the art of the possible and how we can add value for ourselves and our customers. This training has helped us identify further options and areas where we can do this; whether that is what we can offer customers or how we do things internally
Porterbrook logo

Stuart Darney

Project Manager, Porterbrook

We looked at specific AI tools and platforms that are commonly used in the rail industry, and the practical application of AI in engineering contexts, such as predictive modelling, data analysis, data-driven decision making and AI implementation strategies. These are all directly relevant to Porterbrook’s goals of improving efficiency and reducing costs.

Hey I'm Ali Parandeh

I'm Ali Parandeh, the founder of Build Your AI. Over the past decade, I've enabled enterprises like European Space Agency, HS2, and Network Rail to deploy AI in production across transport, engineering, finance, and cybersecurity.

  • Chartered Engineer (CEng) from Atkins Global, later becoming a certified data scientist with Microsoft and Google.
  • Author of “Building Generative AI Services with FastAPI” with O’Reilly (2025).
  • Regularly deliver UKSPEC CPD-accredited AI workshops for the Institution of Mechanical Engineers.

Engineering companies have unique privacy and safety constraints. My mission is to bridge this 2-3 year adoption gap by deploying private, secure, and enterprise-grade AI through strategic advisory and pilot builds with guardrails.

If you lead an engineering team and want to turn GenAI into something real, book consultation to have a chat.

Ali Parandeh Signature
Ali Parandeh

Certified with global enterprises.

UK Engineering Council
Microsoft Azure
Google
APM

Questions

Common questions about our AI services and how we work with engineering teams.

How long do projects take?

Timelines depend on scope and complexity. A strategy engagement might run two to four weeks. We can deliver a functional pilot in as little as 3 weeks. More complex systems and products take longer, but our AI-accelerated development process means we move much faster than traditional agencies. You'll have something deployed and and generating value early, not months down the track.

Do you work with our existing systems?

Yes. We integrate with what you have, whether that's SharePoint, legacy databases, or cloud infrastructure. We assess your current setup and build solutions that fit your environment rather than forcing you to change.

What about data security and compliance?

Security is built in from the start. We work within your data boundaries, respect procurement requirements, and handle sensitive information with the rigour engineering demands. Private deployment means your data stays yours.

Can you work with our procurement process?

We understand engineering procurement. We provide clear scopes, fixed deliverables, and documentation that satisfies governance teams. We've worked through complex approval processes before.

What if we're new to AI?

That's where we start. We assess where AI genuinely helps your workflows, explain the trade-offs, and build capability within your team. Training is part of every engagement.

How do you measure success?

We define success criteria upfront with you. That might be time saved, accuracy improved, or decisions made faster. We track performance and iterate until the system delivers what matters to your business.

Still have questions?

Get in touch with our team to discuss your specific needs.

Ready to solve
your AI challenges?

Struggling with safety, compliance, or legacy systems?

We help engineering firms move from uncertainty to production-ready AI.

Book a free consultation to discuss a structured, low-risk roadmap for your organisation:

Or email us directly at hello@buildyourai.com