Cost of capital automation

From weeks to days.

Taking the repetitive work out of cost-of-capital analysis for an enterprise finance team in the energy sector.

Sector
Energy
Status
Completed

Manual process

Around 4 weeks

Pulling information together across separate systems.

With automation

About 2 days

Less preparation. More time for analysis and review.

Measured full-cycle turnaround after delivery.

The business problem

One figure. A lot of work behind it.

Every review meant gathering financial inputs, updating spreadsheets, checking changes and preparing an explanation. Multiple data sources and changing assumptions made it a demanding, recurring job.

The challenge was to reduce that workload while keeping the calculations consistent and the finance team in control.

The commercial value

Less manual effort, every cycle.

The workflow is designed to reduce three recurring demands on the team.

Preparation

Less spreadsheet work

Less time copying and consolidating inputs before analysis can begin.

Review

Fewer repetitive checks

Routine validation takes less manual attention, leaving more time to investigate changes that matter.

Communication

Less reporting admin

Less effort assembling figures and commentary for stakeholders each time the numbers change.

Our role

AI Alchemy turned the recurring preparation work into a repeatable process within the client’s existing environment. Automation handles the routine work; the finance team keeps responsibility for analysis, review and decisions.

Your next step

Spend less time preparing the next reporting cycle.

Tell us where your finance team loses time to spreadsheets, checks and approvals. We’ll discuss a design sprint around one recurring process.

Discuss a finance design sprint