← All work
Platform strategy Influence without authority Cost control

Stopping
the bleed

Our decisioning stack was quietly burning [a six-figure monthly run-rate]. I got [the CXO] to approve [the spend/runway] to stabilise it, stopped the bleed, then led the migration to a purpose-built decisioning platform so rule changes stopped being engineering projects.

My role
[e.g. Lead PM, platform]
Timeframe
[e.g. stabilise in X, migrate in Y]
Stakeholders
[e.g. CXO, Risk, Finance, Eng]
[€X]
monthly run-rate stopped
[Y]%
faster rule changes, post-migration
[Z]
decisions / month on the new platform

The situation

A cost centre no one had stopped

[What "bleeding money" actually was — wasted spend, vendor lock-in, eng time sunk into rule changes? Rough run-rate is fine; a range is fine.]

[Why it had gone unaddressed — whose budget it sat in, why it was hard to see.]

The bet

Stabilise first, then re-platform

Two moves, in order. Stabilise to buy time — stop the immediate loss without a risky big-bang rewrite. Then re-platform onto decisioning the risk team can change without engineering, turning a runaway cost centre into a controllable system.

Monthly run-rate — bleed, stabilise, migrate
Stabilised Migrated Month 0 Now
Illustrative shape. [Drop in the real peak run-rate and the post-migration figure — e.g. “€X/mo at peak → €Y/mo now”.]

How I led

Winning the mandate, then spending it well

1
Made the cost legible to the C-suite
[How you built the case — what you showed the CXO to make an invisible run-rate undeniable.]
2
Secured the approval — and the runway
[What the CXO approved and why — the trade you offered (short-term spend to stop a larger bleed).]
3
Stopped the bleed
[What specifically stopped the loss — the stabilising change and its effect.]
4
Re-platformed onto purpose-built decisioning
Migrated to a platform where the risk team iterates on rules directly — no engineering in the loop for every change.
Time to change a rule
Before
[weeks]
After
[hours]
A rule change went from an engineering project to something the risk team ships itself. [Set the real before/after times and bar widths.]

The outcome

From runaway cost to controllable system

[Quantify it: run-rate stopped, rule-change speed before/after, decision volume on the new platform, timeframe. Ranges/qualitative are fine.]

The lasting change: decisioning went from a line no one could explain to an operating system the business actually controls.

"Risk platforms are an operating system for decision-making across a company."