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The AI Hiring Paradox: Why Technical Skills Matter More Than Ever
Continue Reading: The AI Hiring Paradox: Why Technical Skills Matter More Than EverOne of the most common assumptions surrounding AI in software engineering is that technical expertise is becoming less important. The logic seems straightforward enough. If AI can generate code, write tests, explain frameworks, and automate portions of development work, then surely companies can rely less on highly experienced engineers and more on the tools themselves.…
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From Ticket Taker to Problem Solver: The New Career Path for Engineers
Continue Reading: From Ticket Taker to Problem Solver: The New Career Path for EngineersThere is a phrase that came up repeatedly in our conversations with engineering leaders over the past year. “We need more people who can solve problems.” At first glance, that sounds obvious. After all, solving problems has always been the purpose of engineering. But when leaders talk about problem solving today, they are describing something…
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AI & ML / AI in Software Engineering Report / Consultancy / Engineering Scaling / Strategy & PlanningThe Rise of the Product Engineer: How AI Is Changing the Engineering Role
Continue Reading: The Rise of the Product Engineer: How AI Is Changing the Engineering RoleThere is a shift happening… There is a shift happening in how engineering leaders describe the people they want on their teams, and it is showing up in the language before it shows up anywhere else. Job descriptions are starting to read differently. The conversations we have been having with CTOs and VPs of Engineering…
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AI Adoption Beyond Engineering: Why Most Companies Aren’t Ready
Continue Reading: AI Adoption Beyond Engineering: Why Most Companies Aren’t ReadyFor years, AI adoption sat firmly within engineering teams. That’s no longer the case. Today, AI expectations are being embedded across the organisation, from operations to finance to marketing, often within roles that were never designed to manage AI systems. A recent example: a CRM administration role requiring ownership of AI-powered workflows, agents, and transformation…
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AI Built-In vs. Bolted-On: Why Owning the Stack Matters
Continue Reading: AI Built-In vs. Bolted-On: Why Owning the Stack MattersThere’s no shortage of companies talking about AI. New tools are launched daily.Features are relabelled as “AI-powered.”Entire roadmaps are being reshaped around it. But beneath the surface, there’s a growing divide: Companies that use AIvs.Companies that are building with AI It’s a subtle difference, but it has significant implications. The Rise of “Bolted-On” AI For…
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LLM Readiness in Software Engineering: Why Data Infrastructure Matters
Continue Reading: LLM Readiness in Software Engineering: Why Data Infrastructure MattersAI adoption in software engineering is accelerating rapidly. But while many organisations are investing in AI tools, far fewer are prepared for what comes next: scaling AI effectively. The difference comes down to one critical factor: LLM readiness Without the right data infrastructure, codebase structure, and system design, even the most advanced AI tools will…
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AI Adoption in Software Engineering: Trends, Investment & Strategy Gaps
Continue Reading: AI Adoption in Software Engineering: Trends, Investment & Strategy GapsAI in Software Engineering: From Experimentation to Expectation AI in software engineering has moved rapidly from experimentation to expectation. Across the industry, engineering teams are adopting AI tools at an unprecedented pace, driven not by a single clear strategy but by a combination of executive pressure, developer demand, and a growing fear of being left…
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AI Engineering Strategy: How to Future-Proof Your Delivery Model
Continue Reading: AI Engineering Strategy: How to Future-Proof Your Delivery ModelAs AI in software engineering accelerates, CTOs and engineering leaders face a strategic inflection point: how to integrate AI into engineering teams without destabilising delivery. At HI Technology & Innovation, our latest research shows something reassuring: while AI is high on the agenda, engineering leaders aren’t abandoning the fundamentals. They’re reinforcing them. AI is increasingly…
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Turning a fleet company into a SaaS leader
Read Case Study: Turning a fleet company into a SaaS leaderA strategic technology partnership that helped Lightfoot, a fleet management company, redefine its business model, scale operations, and establish a foundation for long-term success. By launching a scalable SaaS platform, Lightfoot expanded into new industries, modernised operations, and transformed into a dynamic, innovative enterprise driving growth and value across multiple sectors.
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Driving employee engagement and productivity at a leading UK grocery retailer
Read Case Study: Driving employee engagement and productivity at a leading UK grocery retailerWe developed a cutting-edge gamification and rewards software for one of the UK’s largest grocery retailers, enhancing employee engagement, productivity, and performance—delivering £15 million in cost savings and a 10x ROI.
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Transforming an existing app into an award winning product
Read Case Study: Transforming an existing app into an award winning productFor this award-winning product we built fully native, bespoke applications with custom animations and effects. The driver app gamifies and incentivises the driving performance of both commercial and private drivers.
We break the myth that innovation is out of reach, together we make it happen
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You get access to some interesting projects.
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Agile projects were run by the HI project and development teams, with stakeholder reviews along the way. A secondary benefit was working with them to improve internal development and DevOps workflows.
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The team at HI enabled Lightfoot to rapidly scale development with minimal support from internal dev resources. They led well-controlled stakeholder engagement to capture product requirements, applying extensive technical experience to shape the solutions, whilst maintaining consideration of other business criteria such as budget. Agile projects were then run by the HI project and development teams, with stakeholder reviews along the way. A secondary benefit was working with them to improve internal development and DevOps workflows.
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I’ve been given great freedom to explore new technologies and learn new skills.
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We were impressed by how proactive their team was at all levels with high velocity, easy reviews and an ability to avoid issues before they happened.
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HI led well-controlled stakeholder engagement to capture product requirements, applying extensive technical experience to shape the solutions, whilst maintaining consideration of other business criteria.
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I can safely say it’s been the best working environment I’ve ever experienced! Everyone is really friendly and supportive, there really is a great team spirit.
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HI’s engagement model is tangibly different. We were impressed by how proactive their team was at all levels with high velocity, easy reviews and an ability to avoid issues before they happened. The ethos, expertise and commitment of the HI team meant this really felt like a relationship, not just a supplier arrangement.
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