Patient and doctor

What part do you play in a treasury operating model review?

One of the things firms worry about is whether a review of their Treasury operating model is accurate. This is completely understandable something we talk about during our initial discussions with prospective clients.

Our first key point is experience of the team. Each of the senior people in Prodktr have 20 to 30 years of experience in this environment. We’ve each worked from the Treasury front office, through to risk, back office, and accounting, giving us a complete view of the trade lifecycle. Having this sort of Treasury experience is fundamental to any operating model review.

The next key point is our methodology and data framework. We capture the data we gather, into a service catalogue . As we build this, we link it to governance, and to risks. This catalogue becomes a key output of the review, which we require the stakeholders to actively work on with us.

Our clients aren’t allowed to sit back and wait for our reports. We need them to come to the table, review all the findings and confirm to us that the service catalogue, accountability, productivity, and risks are understood by the client themselves. We provide frank and forthright advice to the leaders.

“If the operating model is failing, we inform the clients how to revive and succeed. This does not take weeks”

This means linking our analysis of their Treasury business right back to the accountable stakeholders who run those activities / processes and ask them to validate the findings and risks. This way the business is ‘in the loop’ from analysis to conclusions rather than being presented with a fait accompli.

We also orient our reviews both vertically and horizontally. A vertical view follows individual trades or specific asset class from front to back. A horizontal view looks at a tech(s), data or a investment service capability and productivity. These two views integrate our understanding of the interdependencies within an organisation and makes opportunities clearer.

We also use visual aid tech and AI to present data; these I will cover in my next article.

Photo by Annie Spratt on Unsplash