Red Eagle Tech

04/05/2026

The most common instinct when a system starts creaking: "we'll just rebuild it properly this time."

The most common outcome: a 2-year project that costs 3x the quote, during which the old system still has to be maintained, and the team ends up rebuilding half the features nobody documented the first time round.

Replatform first. Rebuild only the parts that really need it. Most UK SMEs don't need a new system. They need the existing one to stop being a compliance and hiring liability.

01/05/2026

54% of UK software projects come in 40% or more over budget, according to Deloitte's 2025 numbers. In our experience that isn't usually a tech problem, it's a scoping problem.

We've published our 2026 guide to UK app development costs, built from the actual figures we're seeing in the market, aimed at founders and finance directors trying to budget honestly.

Bits that tend to surprise people commissioning for the first time:

Price ranges look like £8k to £30k for simple apps, £30k to £80k for standard, and £80k to £300k+ for anything complex.

UK median developer contract rate sits around £500/day as of April 2026. Cross-platform builds (Flutter, React Native, .NET MAUI) usually beat dual-native on ROI, costing roughly 1.2 to 1.5x a single native build versus 2x for two native builds. Year 1 total cost of ownership typically lands 60 to 100% above the build cost once hosting, maintenance and integrations are factored in. Discovery is usually 7 to 12% of budget. It's the single best piece of spend you can make, and most of the time it's the difference between shipping on budget and joining the 54%.

There's also a section on UK funding routes a lot of SMEs underuse: Innovate UK Smart Grants, R&D Tax Relief, SEIS/EIS, and KTPs.

Link to the guide in comments!

30/04/2026

AI is very good at the well-scoped parts of software work. Translating language versions, generating tests, wrapping legacy APIs in modern interfaces.

Where it still falls over: architecture decisions, data-consistency reasoning, and anything that needs an opinion on what really matters.

Our experience on both modernisation projects and MVP builds is that AI makes senior engineers 40 to 60% faster on the right tasks, but it doesn't make junior engineers senior. Anyone selling you "AI replaces the team" is selling you a mess in 18 months.

29/04/2026

Most MVPs that fail aren't failing because the code is broken. They fail because the team skipped Discovery to save a bit of money, or launched without a measurement plan, or let scope creep triple before anyone caught it. The post-launch failure rate sits at around 68%, and very little of that is engineering.

Our MVP guide for 2026 pulls together the stuff we wish every founder knew before they briefed an agency. What an MVP actually is (Steve Blank had it right: "not a cheaper product, it's about smart learning"), whether to go AI-first or stick with a traditional deterministic build, and what the numbers look like in the UK right now.

The figures that matter:

Standard MVPs run £25k to £80k over 10 to 20 weeks.
54% of UK firms are actively using AI as of March 2026 (British Chambers).
38.4% of UK businesses born in 2019 are still trading five years on, and MVP choices play a real part in which group you end up in.
£7.56bn was claimed in UK R&D tax relief in 2023-24, much of it from early-stage product work.

If you're a founder, first-time CTO, or SME leader planning to build something this year, this is worth reading before you commit budget.

Link in comments!

28/04/2026

Two of the most expensive mistakes we see UK SMEs make with software:

1. Skipping Discovery on a new build, then paying 40% over budget when scope drifts.
2. Skipping Discovery on a modernisation project, then realising halfway through that the old system did something nobody documented.

Discovery isn't a delay. It's the one stage that decides whether the other stages finish on budget.

27/04/2026

Legacy systems have always been a cost problem, but for a lot of UK SMEs they're now a compliance problem too. The Cyber Essentials MFA mandate lands today, 27 April, the Data (Use and Access) Act 2025 is already live, and PCI DSS v4.0.1 is tightening up. Meanwhile the average UK financial-services breach hit £5.74m last year (IBM 2025), and maintaining legacy typically costs 3 to 4x what the modern equivalent would.

Good news though, modernising doesn't have to mean a full rebuild.

Our new guide covers the 5 Rs framework (Retire, Retain, Rehost, Replatform, Refactor/Replace) with real UK cost bands, from around £20k up to £500k+ depending on the route. Replatforming alone tends to deliver about 80% of the benefit of a full rebuild at roughly 30% of the cost.

AI is shifting this space too. We're seeing 40 to 60% speedups on well-scoped migration work, and there's a documented case of 350,000 lines of legacy Java modernised in 4 months. That said, AI isn't taking over architecture or data-consistency decisions yet. Senior engineer review is still the bottleneck that keeps the work sensible.

If modernisation is on the table for you this year, worth reading before you commit to a route.

Link in comments!

24/04/2026

Poor contract management costs UK organisations around 9% of annual revenue.

For a £2m business, that's £180k leaking out every year through missed renewals, untracked obligations, and slow deal cycles. Most of it is invisible until someone finally reconciles a spreadsheet.

Our new guide walks through what AI contract management actually is, beyond the marketing pitch - machine learning and NLP applied to creation, review, tracking, and renewal, and the documented impact is real:

- 35–55% reduction in contract cycle times
- 50–70% reduction in legal review time
- 2–5% recoverable contract value through better obligation tracking
- One case study (SaleCycle): 88% processing time reduction, 72 hours saved per month

The piece also covers off-the-shelf vs custom build trade-offs, the right phased rollout (pilot one contract type first, usually NDAs or supplier agreements), and the UK compliance bits that matter: GDPR, e-signatures, and the Procurement Act 2023.

If your procurement or ops team is drowning in email threads and spreadsheets, this is where to start.

Link in comments!

14/04/2026

Read our latest press story 👇️

10/04/2026

I wrote a bit about how I ended up in tech and why I started Red Eagle Tech. It involves an Amstrad, dial-up internet, and a lot of taking things apart as a kid.

If you grew up in that weird in-between generation that remembers life before the internet but watched it all happen in real-time, you might relate!

https://buymeacoffee.com/katkorson/kat-korson-red-eagle-founder-story

[Disclaimer - you do not have to buy me a coffee 😉]

Post by Kat Korson

02/04/2026

AI is meant to make work easier.

But in some teams, it’s doing something else.

The people who:
• Use AI carefully
• Check outputs
• Follow the rules

Often end up doing more work.

They become the ones others rely on.

Meanwhile, faster, less careful usage can go unnoticed.

That imbalance is what we’re calling the conscientious worker penalty.

It’s not about the tools.
It’s what happens when expectations around AI aren’t clearly defined.

Full breakdown here:
https://zurl.co/iZTd9

Original UK research: 41% of UK desk workers have no clear AI policy. Of those left in the dark, 70% abstain from AI entirely and fall behind colleagues who don't. Data from 200 UK desk workers.

01/04/2026

AI is already part of how teams work.

But not everyone has clear guidance on how to use it.

So what you actually see inside organisations is a mix of:
• Confident users getting real value
• Quiet adopters figuring it out as they go
• And others holding back because expectations aren’t clear

That creates inconsistency.

Not because people aren’t capable, but because the boundaries haven’t been defined.

We’re seeing this pattern across UK teams, and it’s what we’ve called the AI permission gap.

It’s not about tools. It’s about clarity.

Full research and breakdown here + free AI acceptable use policy template:
https://zurl.co/fQ6bM

54.5% of UK desk workers lack a clear AI policy. Original Pollfish survey of 200 workers reveals the permission gap driving shadow AI, talent flight, and the conscientious worker penalty.