---
title: Now, it’s all about the ‘how’
description: Discover the influence of technology, AI and latest go-to-market strategies on business growth, emphasising the shift to the 'how' in financial services.
image: https://therealizationgroup.com/hubfs/TRG%20how%20blog%20v2.png
---

# Now, it’s all about the ‘how’

April 10, 2024

Posted by [ Ollie Cadman ](https://therealizationgroup.com/insights/author/ollie-cadman)

To paraphrase Fun Boy Three in their 80s hit (and the 1939 original with Ella Fitzgerald), “It’s  
not what you do it’s the way that you do it ... .that's what gets results”. In my time working in  
financial services businesses, I’ve always considered it to be a fairly even split between the  
‘what’ and the ‘how’ concerning product/service differentiation, client retention and,  
ultimately, commercial success: The ‘what’ being the service or solution and associated key  
features and functionality, the ‘how’ being what makes it stand out from the competition  
concerning reputation, client engagement, user experience, time to market and service  
delivery.

In the last decade or so, with continuing and industry-changing technological advancement,  
it seems as if that balance has shifted to place much greater emphasis on the ‘how’; how to  
stand out from the crowd, how to scale a business appropriately, how to optimise  
go-to-market strategies, how to gain more clients while keeping client churn low, how to  
invest for continuing success.

Technology evolution continues to deliver opportunities to reduce and remove traditional  
barriers to entry with respect to accessing particular target markets, and the typical  
challenges associated with launching new products successfully. To illustrate this assertion:

Advent of The Cloud  
The advent of cloud computing has not only delivered almost unlimited scalability with  
respect to effective data storage and management, it can also remove the burden of high  
capital expenditure and ongoing costly investment in building, deploying and maintaining  
physical infrastructure and software ‘inhouse’.

Open-Source Software  
Increased availability of open-source software and ‘software as a service’ solutions enables  
the acceleration of development and lead times for technology-led solutions. This, coupled  
with more agile delivery methodologies, has significantly shortened Proof of  
Concept/Minimum Viable Product timelines, and this has been further accelerated by the  
growth in low-code/no-code platforms and services.

Delivery “as a Service”  
Continuing demand for and adoption of ‘managed’ services, initially Software as a Service  
(SaaS) but increasingly embracing the broader and deeper spectrum of service delivery  
including Infrastructure as a Service and Network as a Service, through to ‘Trading as a  
Service’ - or outsourced trading - offered by a number of major firms such as TD Cowen.  
What all ‘as a Service’ models have in common is that they reduce high upfront ‘set up’ costs  
and rigid, often long-term, (high) fixed price contracts with much more nimble and flexible  
subscription models. Often consumption-linked, you pay only for what you use, as you use it.

Low code/No code solutions  
Ongoing development and adoption of low-code APIs and no-code platforms, along with  
expectation and demand for greater system/platform interoperability, makes it much easier in  
today’s world to switch service providers. The time for software vendor complacency based  
on the cost and difficulty of making a different decision are long gone. Customers today can  
very much “vote with their feet” when confronted with poor service delivery, whether in terms  
of inflexible contracts, product performance or customer service.

The fact is that poor response times and slow delivery will inevitably result in higher churn  
and negative Net Dollar Retention (NDR).

From a service provider perspective, the positive side of all of this technological advance is  
that it is quicker and easier to gain traction and to grow incrementally. However, another  
factor impacting the ‘how’ of commercial success in financial services has been the recent  
change in the availability of ‘cheap money’ that has until relatively recently also been a driver  
in the influx of new startups and fintechs.

The most significant impact of this change is that user/customer acquisition and growth is no  
longer enough in and of itself; the old school “win customers first, monetise later” approach  
has to be increasingly combined with a strategy that prioritises scalable, profitable growth  
from out the outset.

We are also, I believe, entering a new - and significant - disruption phase in the form of AI  
that will likely place even more emphasis on the ‘how’ with respect to further reducing  
barriers to entry, particularly on the ‘go-to-market’ side of things where it has the potential to  
accelerate a firm’s ability to establish a presence through clever and timely multi-channel  
marketing and communications strategies designed for specific target markets.

The ‘how’ of AI adoption is however critical; as with any other ‘innovation’ referenced here it  
is a potentially very valuable tool in the business development toolkit. On the one hand, its  
use needs to be considered within the context of the broader business strategy and goals;  
on the other, it requires appropriate expertise in its use with respect to content curation and  
distribution. You might think of it as a sandwich, with AI as the filling that can facilitate and  
accelerate certain business activities to provide more scale, reduce lead times and increase  
optionality.

There is little doubt that the industry has become a lot noisier and standing out from the  
competition is a lot harder. We feel strongly that AI, used correctly, can be a key component  
of much more dynamic, multi-channel marketing and communications strategies that also  
fuel more dynamic, data-driven MI and much more accurate insights into customer  
behaviours and user experiences. This is, in effect, the fusion of AI with business and  
go-to-market teams. Used incorrectly, for example simply to create “me-too” content without  
context, or to generate data without actionable insights, and you could end up lost in the  
crowd.

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