šŸ“– Where can councils start sharing effectively?

(Previously published on LinkedIn and in my newsletter.)

Following on from previous posts during the Great Local GDS Flurry from a few weeks ago (has everyone else moved on? Well I haven’t!), I thought I would follow up on one of my ideas for what I see as the central problems facing local authorities wanting to make the most of digital (by which I mean: technology, data, and online experience). Those problems are capacity and capability.

An answer to those problems is sharing of services. Now shared services often have a bad rep (in a lot of cases they are neither shared nor a service). But that doesn’t mean the model can’t work. It just means you have to do it right, and that doesn’t mean munging two or three teams together, sacking a couple of managers, then bagging the savings and carrying on exactly as before.

The right way is to methodically plan what functions are suitable for sharing, that will deliver benefits like efficiency and economies of scale, and not forcing into a shared arrangement something that just doesn’t belong there – or at least, not yet.

It strikes me that Wardley mapping could be very helpful here. I’ve been a massive fan of the approach for years, but have never actually used it in anger, largely because my brain is too small to cope with it. Here’s a video where Simon calmly explains it all.

The broad points are this:

  • There are no one size fits all approaches to any kind of business capability, but especially not technology ones
  • The more established and commoditised a capability, the better suited it is to things like shared services or outsourced arrangements
  • The more innovative a capability, the more suited it is to being kept close to the organisation
  • Likewise, the closer a capability is to affecting the experience of your end user, the closer you want to keep it to the organisation. If it is back-end gubbins, then that’s more suitable to being handled by someone else.
  • It is also possible for capabilities to move as they mature or become commoditised. So the way things are today don’t have to be the way they are tomorrow.

OK! So bearing that in mind, how could we think about applying this thinking to digital capabilities within a Council?

I’ve produced a dumbed down Wardley map to help guide this thinking. It isn’t comprehensive by any means, but hopefully has enough in it to get the point across!

I find having a grid approach helps organise my thoughts around this a bit. It means you lost a bit of the elasticity of the original Wardley approach, and if you find that annoying, no worries! You don’t have to do this the same way I do.

So the darker orange box in the bottom right is where sharing of digital capabilities ought to start on day one. These are utility-like components that have little impact on the end user and where real economies of scale can be achieved by organisations joining together.

After that, councils could start exploring the other boxes, depending on their context and ambition. There are some areas that should be left well alone, at least until they can be shifted rightwards in some way – either the market and the organisation’s experience matures, or the organisation is able to change the way it works to facilitate a rightward shift for that thing.

Now, we could all have an arm wrestle about which of these capabilities fits in what box, and I dare say that some local customisation will be required depending on context (some councils have insanely complicated bespoke arrangements around laptop builds, for example). But it feels like a handy tool to use when planning collaborative endeavour, whether formal shared services or not.

It would be great to know what you think!

šŸ”— Some links I’ve spotted recently

I sent out a newsletter today and included these links at the bottom. Popping them here for posterity…

šŸ“–Ā Countering the AI hype

This is a re-publish of a thing that went on LinkedIn, my newsletter, and the Digital Leaders newsletter. I’ve backdated the published date on this post to reflect this.

Summary: all this tech called ‘AI’ is genuinely exciting. But the impact of it is unlikely to be felt for several years. Don’t expect quick results, and don’t expect them to come without a hell of a lot of hard, boring work first.

It’s hard to look at LinkedIn these days without being instantly confronted by AI enthusiasts, almost foaming at the mouth as they share their vision for how the public sector can save millions, if not billions, of pounds by simply using AI.

It sounds so easy! As a chief executive I would be reading this stuff and thinking to myself, ‘why the hell aren’t my people doing this already?’.

In fact, I am hearing from digital and technology practitioners in councils all over the country saying that this is happening. That the AI hype is putting pressure on teams to start delivering on some of these promises, and to do so quickly. I find this troubling.

It’s always worth referring to my 5 statements of the bleedin’ obvious when it comes to technology in organisations:

  1. If something sounds like a silver bullet, it probably isn’t one
  2. You can’t build new things on shaky, or non-existent, foundations
  3. There are no short cuts through taking the time to properly learn, understand and plan
  4. There’s no such thing as a free lunch – investment is always necessary at some point and it’s always best to spend sooner, thoughtfully, rather than later, in a panic
  5. Don’t go big early in terms of your expectations: start small, learn what works and scale up from that

How does this apply to using AI in public services? Here’s my take on the whole thing. Feel free to share it with people in your organisation, especially if you think they may have been spending a little too long at the Kool Aid tap:

  • The various technologies referred to as ‘AI’ have huge potential, but nobody really understand what that looks like right now
  • Almost all the actual, working use cases at the moment are neat productivity hacks, that make life mostly easier but don’t deliver substantial change or indeed benefits
  • Before we can come close to understanding how these technologies can be used at scale, we need to experiment and innovate in small, controlled trials and learn from what works and what doesn’t
  • Taking the use of these technologies outside of handy productivity hacks and into the genuinely transformative change arena will involve a hell of a lot of housekeeping to be done first: accessing and cleaning up data, being a big one. Ensuring other sources for the technology to learn from is of sufficient quality (such as web page content, etc) is another. Bringing enough people up to the level of confidence and capability needed to execute this work at scale, for three – and there’s a lot more.
  • The environmental impact of these technologies is huge, and many organisations going ham on AI also happen to have declared climate emergencies! How is that square being circled? (Spoiler – it isn’t.)
  • The choice of AI technology partner is incredibly important and significant market testing will be required before operating at scale. There’s an easy option on the market that is picking up a lot of traction right now, because it’s just there. This is not a good reason to use a certain technology provider. Organisations must be very wary of becoming addicted to a service that could see prices rocket overnight. More importantly perhaps is whether you can trust a supplier, or those that supply bits of tech to them, to always do the right thing with your data. There’s always going to be an element of risk here: but at least identify it, and manage it.
  • Lastly, the quality of the outputs of these things cannot be taken on trust, and have to be checked for bias, inaccuracies and general standards. Organisations need to have an approach to ensuring checks and balances are in place, otherwise all manner of risks come into play, from the embarrassing to the potentially life-threatening.

This ended up being a lot longer than I first imagined. But I guess that just shows that this is a complex topics with a whole host of things that need to be considered.

Just remember – any messages you see claiming that AI is a technology that takes hard work away for minimal investment or effort, is at best just guesswork and at worst an outright lie.

Related to this post is a set of slides I presented to a conference in Glasgow:

šŸ“… Weekly note for 5-9 February 2024

This started off as a daily not for Monday, and has been sat in draft all week as I add more and more to it…


Had a proper chance to watch this and read about it – “Place-Based Public Service Budgets: Making Public Money Work Better for Communities”. Nice bit of big picture thinking around local public services. We need more of this sort of thing.


Bluesky is now open for anyone to join. No more invite codes! It’s like Twitter used to be. See you there?

This is rather lovely from dxw – “Content design: the very first step”.

Looking at Beehiiv as a potential Substack replacement. That spelling though, yikes.

Talking of which, I sent out the first newsletter of the year this week.

Resetting digital government – this piece from Jerry Fishenden has attracted a lot of attention.


In Neil’s recent week note, he linked to a bunch of interesting approaches:


Making a PDF that’s larger than Germany.

This is an interesting piece about YouTube and how content creators chase the revenue, resulting in a worse experience for viewers, and how this is resonant of the way the web went.


Nice video from Giles Turnbull, giving a talk to folk from the state government in British Columbia about using the human voice in communication.


šŸ“… Daily note for 26 January 2024

Remember my course! It might be really helpful for you or a colleague!

Excellent podcast about what Iran is up to these days.

Giles thinks learning materials in organisations ought to be better quality, and of course he is right.

Simon Wardley shares some thoughts on project delivery that are well worth reading.

The Future Councils Playbook is a “set of tools to help you understand complex problems and their impact”. These are useful of course, and as much good practice support we can get out there the better. But a step change in local government digital quality is unlikely to result from such things – we need more.

More Simon Wardley – this is a fun new intro to his mapping, etc:

Yesterday I made use of Colin Stenning’s excellent local gov CMS research to help write an options appraisal for a council’s new website technology. What a legend!