Scale Factory - formerly Ten10

07/09/2026

We are thrilled to share that Scale Factory has been shortlisted for Best Data or AI Team - UK at the 2026 DataIQ Awards!
This nomination recognises our work alongside the Foreign, Commonwealth & Development Office (FCDO), delivering robust data and AI capabilities where confidence, security, and quality are paramount.
Huge congratulations to our team and our partners at the FCDO. The winners will be announced on 17th September in London - wish us luck!

04/09/2026

Moving fast in the public sector requires complete confidence in your platform foundations.

Scale Factory will be at DigiGov Expo on 23rd & 24th September (Stand D30). Whether you're navigating complex cloud migrations, tackling legacy technical debt, or looking to scale AI capability safely, pop by Stand D30 to talk with our UK-based specialists.

Let us know if you'll be there!

03/09/2026

Moving AI agents from impressive prototypes into secure, reliable production isn't a model problem - it's an engineering and platform problem.

Join Scale Factory Technical Director Mike Mead and Principal Consultant Steve Dodd on Tuesday 15th September at 1:30 PM BST for our upcoming live webinar: Building Production-Ready AI Agents with Amazon Bedrock AgentCore.

We’ll explore how to evaluate fully managed Amazon Bedrock agents against modular AgentCore components, helping you balance architectural control, governance, and rapid deployment without taking on unnecessary risk.
🔗 Reserve your spot here: https://eu1.hubs.ly/H0x_Y2y0

02/09/2026

Next week, we’re heading to the IDC AI & Data Summit.
Unlocking real value from your data shouldn't mean creating operational bottlenecks or compromising governance. Catch Scale Factory Technical Director Mike Mead on 10th September at 12:25 PM as he breaks down how to move from traditional BI bottlenecks to secure, self-service analytics using Amazon QuickSight.
Heading to the event? Drop us a message or catch us after the session—we’d love to connect.

25/08/2026

Stop waiting on data tickets and endless manual reporting.

Amazon Quick transforms how teams work across the day by combining analytics, research and autonomous AI agents into a single workspace.

Check out this short breakdown to see how Quick handles morning briefings, midday report generation, afternoon app building and overnight monitoring automatically.

Catch the full technical breakdown and live demo on our YouTube channel:
🔗 https://bit.ly/4iyRwyC

13/08/2026

Keeping a human “in the loop” means very little if that person cannot see how a decision was made, challenge it properly or overturn it without consequence.

As AI agents take on more routine ex*****on, businesses need to think carefully about the work left for people and the authority they have over the systems they oversee.

Ash Gawthorp, our CTO, explores this in his latest article for NODE. He looks at why human judgement should be focused on high-stakes decisions and edge cases, how roles may shift towards governing and improving AI systems, and why transparency is essential if organisations expect people to carry real accountability.

Read the full article in the comment below 👇

12/08/2026

Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027.

Read that again. Nearly half.

Here's the uncomfortable truth: most agentic AI projects collapse long before deployment. They chase hype instead of fundamentals. They're built on fragmented data that no agent can reason across. They lack a single owner with the authority to make decisions and see them through.

The leaders who succeed will do the unglamorous work first. Clean, connected data. Clear ownership. A vision that ties every use case to real business value, rather than a shiny demo.

Agentic AI won't reward the fastest movers. It'll reward the ones who built the right foundations.

So ask yourself honestly: is your organisation ready to scale AI, or just ready to talk about it?

07/08/2026

Most businesses have started with AI. Few have done anything meaningful with it.

According to the ONS, the average AI-adopting business uses just 1.6 technologies. That's a modest uptick from 1.4 in late 2023 , and it tells you everything about where most organisations actually are.

Getting started is easy, but moving beyond pilots and proof-of-concepts to AI that's genuinely embedded in how the business operates is the real challenge.

That requires three things most organisations haven't yet put in place:

1. A unified AI strategy that goes beyond department-by-department experimentation
2. Clear governance so teams know what they can build, buy, and deploy — and when
3. A commitment to operational change, not just technology adoption

Bridging the gap between AI excitement and actual business impact means asking harder questions:

Is this integrated with real workflows?
Does it have the data quality to be reliable?
Who owns it when something goes wrong?

AI won't deliver on its potential through enthusiasm alone. The organisations that pull ahead will be the ones that treat it as an infrastructure problem, not a features race.

06/08/2026

A successful AI demo does not mean a business is ready to run it in production.

Ash Gawthorp, CTO at Scale Factory, explores in his latest article for ChannelPro (https://bit.ly/4q424b2) why AI pilots often stall when they meet messy data, difficult integrations, unclear ownership and the realities of ongoing support.

Selecting the model is often the easier part. The harder work is making AI useful, trusted and measurable long after the demo ends.

Read the full article here: https://bit.ly/4h9lVDa

Looking to move AI beyond the pilot stage? Get in touch to find out how we can help you build the foundations for operational delivery.

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04/08/2026

Thank you to everyone who attended our recent two-part Lift and Shift webinar, where Mike Mead, Chris Musther and Saborni Bhattacharya shared their expert advice for navigating the next generation of cloud migrations.

Missed the webinars? Just comment 'Cloud' below and we'll send a link to the records straight to your inbox.

Here's a sneak peek of the advice on offer, as Saborni explains the four-stage data strategy you should use when adopting GenAI.