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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 adoption accelerates across software engineering, CTOs and engineering leaders face a genuine strategic challenge: how do you embrace the opportunities AI creates without disrupting the systems, processes and teams that already deliver value? The conversation around AI often creates the impression that engineering priorities have fundamentally changed. Our latest research at HI Technology…
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Does AI in Software Engineering Really Live Up to the Hype?
Continue Reading: Does AI in Software Engineering Really Live Up to the Hype?Insights from the report: AI in Software Engineering – Making Sense of the Noise AI has quickly become a staple of modern software teams. From code completion tools to automated documentation, leaders overwhelmingly feel that AI is making a difference. But when we looked closely at how organisations are measuring impact, a more nuanced, and…
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AI, Talent, and the Changing Shape of Engineering Teams
Continue Reading: AI, Talent, and the Changing Shape of Engineering TeamsInsights from the report: AI in Software Engineering – Making Sense of the Noise, by HI Technology & Innovation. AI isn’t just changing how software is written, it’s reshaping how engineers are hired, developed, and led. As AI tools become embedded in day-to-day development, long-standing assumptions about technical ability, seniority, and engineering craft are being…
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The Three Emerging Archetypes of AI Adoption in Engineering Teams
Continue Reading: The Three Emerging Archetypes of AI Adoption in Engineering TeamsAs AI rapidly reshapes software engineering, leaders are under increasing pressure to decide how their teams should adopt new tools, and how fast. But beneath the noise and urgency, not every organisation is moving in the same direction, nor at the same pace. In our research for AI in Engineering: Insights from Today’s Tech Leaders,…
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Enhancing driver safety, efficiency, and compliance in Transport & Logistics
Read Case Study: Enhancing driver safety, efficiency, and compliance in Transport & LogisticsA modern, scalable SaaS platform transforming fleet operations with real-time insights, gamification, and automated compliance.
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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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Modernising legacy software for the legal industry
Read Case Study: Modernising legacy software for the legal industryWe modernised Peppermint Technology’s legacy software from Silverlight to Blazor and .NET, delivering a seamless, reliable experience for their legal clients, with added functionality for future growth.
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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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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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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 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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The team at HI enabled Lightfoot to rapidly scale development with minimal support from internal dev resources.
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You get access to some interesting projects.
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HI’s engagement model is tangibly different. 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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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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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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