Anonymized enterprise value case
A major integrated energy company turned morning P&L, reconciliation, risk, market monitoring and report distribution into a governed digital workforce—modeling to ≈£375k of specialist capacity returned in the observed period.
01 · The economic case
Five high-frequency workflow groups account for almost 2,500 hours in the first six months—before valuing faster decisions, avoided breaks or reduced technology backlog.
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| Workflow | Observed volume | Manual baseline | Time returned |
|---|---|---|---|
| Morning P&L | 2,929 runs | 30 minutes | ≈1,465h |
| Market & data monitoring | 2,720 runs | 10 minutes | ≈453h |
| Daily reconciliation | 239+ controls | 90 minutes | ≈359h |
| Report distribution | 1,840 sends | 5 minutes | ≈153h |
| Live risk calculation | 111 runs | 30 minutes | ≈56h |
≈2,485 modeled hours × £150/hour fully loaded specialist cost = ≈£373k across six months, rounded to ≈£375k. Annualised: ≈£750k.
02 · What changed
The platform did not create another destination for employees to visit. It moved recurring work into the background and brought people back only for decisions.
Positions, curves, P&L drivers and commentary assembled before traders arrived.
Trade and volume reconciliation completed automatically, with breaks explained and owned.
Prices, flows, forecasts and market conversations continuously turned into working views.
VaR, exposure and scenario views refreshed without another manual reporting cycle.
Teams built dashboards and specialist workflows in context instead of joining a development queue.
03 · Where value landed first
≈1,465 hours returned
Observed automation covered gas, power, LNG, carbon, storage and balancing desks. Positions, curves and drivers arrived in one surface, with commentary generated beside the numbers.
≈359 hours returned
Daily reconciliation matched trades, volumes, fees and cash across counterparties and internal systems, explained differences and prepared controlled distribution.
≈453 hours returned
Automated price collection and data-availability monitoring kept dashboards alive across gas, power, LNG, carbon and physical operations.
04 · No rip and replace
The deployment joined enterprise data, price feeds, curves, documents, email, team messaging, broker feeds, streaming data and trade systems without asking the business to start again.
Commercially bold. Evidentially clean.
Initial analysis of observed platform activity from February–August 2026. Time estimates use the low end of documented manual ranges where available and conservative assumptions elsewhere. Capacity value represents time that can be redeployed; it is not an audited cash-savings or profit claim. A deeper outcome study is in progress.
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