HomeGame 6

You’ll get everything you normally get from a lang cat event, but this time we’re inviting you to Leith – our actual home. It’s going to be mostly Scottish.

/ The Summary

HomeGame 6 isnโ€™t just another HomeGame. Itโ€™s a homecoming for the lang cat. This year we bring our annual event to just a few hundred metres from The Lang Cat Port Authority (thatโ€™s our head office) and we want to invite you to join us for an event quite unlike any other.ย 

HomeGame this year lands at a time when the financial advice market has lots of new things to think about. For decades now, the profession has had a trump card โ€“ โ€œyeah but if you want actual financial advice then this is the only place you can get it.โ€

Thatโ€™s not true any more โ€“ or is it? We already know that general AI tools are widely used by clients not only to find out what to do with their money, but even to check recommendations or provide guidance on what to do when you meet an adviser. Alongside this, the D2C market is exploding; growth of the two channels used to be like tramlines but now the direct market is sprinting ahead.

All in all itโ€™s a good time to work out whatโ€™s what out there. And thatโ€™s what weโ€™re going to do.

We know AI is giving advice, or what consumers perceive to be advice. What we donโ€™t know is how consistent that advice is, or how good it is. It might be decent. It might be a bin fire. Most in our industry are afraid of the former and hoping for the latter. The only way to know for sure is to put it to the test.

Hereโ€™s how itโ€™s going to work.

The storied, dilapidated, regenerating and peerless Leith Theatre will turn into our communal AI lab for the day and will host an event unlike anything financial services has seen before. The audience won’t be sitting and listening. You’ll be working in teams, making decisions, prompting AI tools and โ€“ hopefully โ€“ disagreeing loudly with each other whilst having a thoroughly enjoyable time.

Before that the day will open the way a lang cat event always opens: with research, honesty, doomed attempts at entertainment, and the scene set for the sessions to come.

Then we do something really risky.

Every table becomes a client: the same client. Every client has an AI terminal already hooked up to one of the big generative models that clients typically use. You’ll receive a client brief, written the way a real person writes about their own financial life: incomplete, slightly emotional, and missing the things they don’t know they don’t know. Youโ€™ll find out more about yourself as the day progresses and use that information to prompt your AI more fully. We ask the audience to don a veil of ignorance and pretend to be a client โ€“ no cheeky prompts saying โ€œare you sure my portfolio will be optimised according to Markowitzโ€™s efficient frontier theory?โ€ or anything like that. Each table will have a Highheidyin[1] to make sure everything runs smoothly.

At the end, youโ€™ll ask your AI to summarise what itโ€™s told you and to recommend your next actions. We will gather that all together using witchcraft and Ancient Wisdom and will give the audience an initial playback before fuller details are published later on.

Throughout, a small crack team of roving camerapeople and hosts will, er, rove and find out how everyone is getting on.

While all this is going on, a small team of financial planners will be going through the same exercise also enabled with AI, but rather than a general system theyโ€™ll be using a leading adviser-focused AI tool. They wonโ€™t agree on everything, but theyโ€™ll need to come up with a consensus view. That will give us a benchmark against which we can measure the outputs from the tables.

At the end, weโ€™ll have 35 or so exercises which are all based off exactly the same data, produced at exactly the same time. The only difference will be the prompts each table/client chooses.

From that we will learn a lot. Weโ€™ll be able to see if we think the โ€œadviceโ€ is actually advice or not. Whether it falls inside the definition or not, weโ€™ll be able to see if we think itโ€™s any good. And weโ€™ll be able to see how consistent or not it all is.

One of three outcomes are possible: the advice is consistent and good. Itโ€™s consistent and bad. Or itโ€™s not consistent at all. Whatever the outcome, youโ€™ll leave properly equipped to consider what if any impact AI plus D2C may have on you, and how to respond when (not if) clients bring a new robot friend to their next meeting.

This will take up most of our day, but we do have a bit of time spare to talk about wider industry issues, hear from planners doing interesting things, think about the regulatory response to all of this and how to navigate that, and more. We are also waiting with giddy excitement for a special guest to be confirmed who we know youโ€™ll love to hear from.

No-one has tried anything like this before in our sector; possibly anywhere. Itโ€™s going to be quite a ride. And itโ€™s all going to happen in our home โ€“ Leith. We donโ€™t ask you into our house unless weโ€™ve got something very special prepared. And also fine food and drinks sourced from local suppliers. When you come to the lang catโ€™s gaff, you get taken care of. Those are the rules.

So if you want to take a chance on the bunch that first brought you live financial planning on stage at New Blood last year and have a reckless disregard for how conferences are meant to be run, then get your tickets booked now.

[1] A boss, in Scots, literally โ€œhigh head oneโ€.

Come with us to Leith. Come home.ย 

 

THE PRACTICALITIES

The date to mark in your calendars is Wednesday 7 October – join us in person on the day. There is no streaming option – you’ve got to be there!

Thanks to the generosity of our sponsors, tickets are free for advice professionals working at an advice firm; so advisers, planners, paraplanners, compliance and admin fill your boots (if you work for a huge provider with an advice offshoot you only qualify if youโ€™re in an advice-giving or paraplanning role).

Everyone else is asked to buy tickets at a cost of ยฃ100 plus VAT.

 

CPD

This event will provide 5 hours of structured CPD. Certificates will be sent out to attendees in the weeks following the event.

 

THE VENUE

For more on the venue, travel information and tickets, click here or use the button at the top of the page.

/ Book Now

HomeGame 6

Leith Theatre

October 7, 2026

/ Schedule

11:00 โ€“ 11:10
Welcome / intro
11:10 โ€“ 11:40
Presenting the research & setting up the day
11:40 โ€“ 12:10
Round 1
12:10 โ€“ 12:40
Round 2
12:40 โ€“ 13:40
Lunch
13:40 โ€“ 14:10
Fireside chat
14:10 โ€“ 14:40
Round 3
14:40 โ€“ 15:15
Panel: โ€œMaking AI Sweatโ€
15:15 โ€“ 15:50
Afternoon break
15:50 โ€“ 16:30
Keynote
16:30 โ€“ 16:50
Playback: first findings
16:50 โ€“ 17:05
Close

/ Anchor sponsor

/ Also sponsored by

Sponsor

Sponsor

/ Event videos

Impact of poor service

/ White papers

The Impact of Poor Service

We provided the research for a report, in conjunction with Parmenion, which reveals how far short of expectations many adviser platforms are falling. The research found that over the last 12 months, 88% of advisers needed to apologise to at least one of their clients on behalf of a platform, and that poor service delivery from platforms impacts 91% of advisers every day.

Impact of poor service

/ White papers

The Impact of Poor Platform Service

We provided the research for a report, in conjunction with Parmenion, which reveals how far short of expectations many adviser platforms are falling. The research found that over the last 12 months, 88% of advisers needed to apologise to at least one of their clients on behalf of a platform, and that poor service delivery from platforms impacts 91% of advisers every day.

/ White papers

Answering the Call

Service means a lot of things to a lot of different people. Itโ€™s so subjective it can be hard to put your finger on. This paper aims to challenge the status quo and inertia thatโ€™s built up in the sector for many years.