Anonymized enterprise value case
2,500 expert hours back. In six months.
A major integrated energy company automated morning P&L, reconciliation, risk, market monitoring and report distribution with Agent Circuits—modeling to ≈$500k of specialist capacity returned in the observed period.
≈2,500hreturned in six months
≈$500ksix-month capacity value
30–60msaved per desk morning
1–2hremoved from daily reconciliation
15+systems orchestrated
01 · The economic case
The repetition was hiding a million-dollar annual opportunity.
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.
Swipe to see all columns →
Conservative capacity model based on observed workflow volumes
| 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 × $200/hour fully loaded specialist cost = ≈$497k across six months, rounded to ≈$500k. Annualised: ≈$1M.
02 · What changed
The work moved before people had to.
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.
Market openReady before the deskPositions, curves, P&L drivers and commentary assembled before traders arrived.
Daily controlsExceptions, not matchingTrade and volume reconciliation completed automatically, with breaks explained and owned.
Market intelligenceSignals while they matterPrices, flows, forecasts and market conversations continuously turned into working views.
RiskCoverage that stays liveVaR, exposure and scenario views refreshed without another manual reporting cycle.
Delivery speedWorking tools in daysTeams built dashboards and specialist workflows in context instead of joining a development queue.
03 · Where value landed first
Three workflows paid back immediately.
Morning P&L≈1,465 hours returned
From spreadsheet ritual to explained P&L before market open.
Observed automation covered gas, power, LNG, carbon, storage and balancing desks. Positions, curves and drivers arrived in one live dashboard, with commentary generated beside the numbers.
- Conservative 30-minute baseline
- 2,929 observed automated runs
- Important actions still require approval
Daily controls≈359 hours returned
From 1–2 hours of matching to one visible exception.
Daily reconciliation matched trades, volumes, fees and cash across counterparties and internal systems, explained differences and prepared controlled distribution.
- 239+ observed completed controls
- Daily coverage instead of periodic review
- Breaks remain attributable and owned
Always-on intelligence≈453 hours returned
From manual collection to live market awareness.
Automated price collection and data-availability monitoring kept dashboards alive across gas, power, LNG, carbon and physical operations.
- 2,720 observed monitoring runs
- Signals appear while still actionable
- Ten-minute manual baseline used in the model
04 · No rip and replace
One autonomous layer above the systems already trusted.
The deployment joined trade data, fundamentals, prices, curves, documents, communications and internal platforms without asking the business to start again.
1–3days to connect a new in-house, third-party or external system
$0additional integration fee with an Agent Circuits deployment
Commercially bold. Evidentially clean.
Credible enough for procurement. Loud enough for the boardroom.
Observed directly
- Workflow and automation volumes
- Before-state process baselines
- System and tool activity
- Production operating cadence
Modeled conservatively
- ≈2,500 hours in six months
- ≈$500k equivalent capacity
- ≈$1M annualised opportunity
- $200/hour fully loaded cost
Upside not counted
- Trading performance
- Avoided control failures
- Faster time to decision
- Reduced technology backlog
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.
Free Agent Circuits assessment
Turn this value case into your value case.
We’ll review your workflows and systems, identify the highest-value opportunities, estimate the potential savings and give you a practical implementation roadmap.