FOR ENGINEERING LEADERSHIP & FINANCE

Defend the engineering bill. Line by line.

The board and the auditor want to know what engineering delivered for the money, and the AI line is growing with no attribution behind it. EngLedger turns spend into a close that reconciles, so you walk in with evidence instead of a rebuilt spreadsheet.

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This period · attributed and reconciled
$1.24M/qtr
capitalisable · correlational
evidence
Engineering spend tied to the initiatives it funded and classified as capitalisable R&D. Every figure walks back to the commits, tickets and sessions behind it.

No rebuilt spreadsheet months after the work. The number the board sees is the number the source data produces, with the caveat kept on the figure.

BUILT FOR
CTOsVPs of EngineeringHeads of EngineeringCFOsFinance & Audit
What you walk into the board with

Evidence, not a rebuilt spreadsheet
months after the work.

01
Attribution in dollars
Engineering and AI spend tied to the work it funded, so every line answers what it bought instead of sitting in an unexplained total.
02
A close, not a snapshot
Monthly rows that reconcile period over period, built from source data rather than assembled by hand at quarter end.
03
An audit bundle by construction
Classification you can defend, evidence reconciliation and an append-only change history, ready before the auditor asks.
04
Confidence made visible
Measured numbers lead; modelled ones stay behind a toggle and say so. You present a figure knowing exactly how firm it is.

See how the numbers are built on the engineering ledger, how the AI line is governed on AI governance, or check whether your R&D claim would survive a question with the readiness check.

This period’s closeReconciled
Effort attributed to delivery✓
AI spend governed & reconciled✓
Capitalisable R&D classified✓
Audit bundle & change history✓
// Board pack
Every number links back to the work that produced it.
Correlational findings say so on the number.
Why leadership trusts the number

Built to be questioned,
and to hold up.

🧾
Classification you can defend
Capitalisable versus expensed decided by a rule you set and can explain, not a black box, on both tickets and commits.
📅
Monthly rows that reconcile
A period close where the totals tie out and the same question a month later gets the same answer.
🛡️
AI spend, governed not surveilled
Ranked exceptions with dollars attached, team-level by default and individual detail opt-in.
↩️
Numbers auditors can walk backwards
Every figure traces to the commits, tickets and sessions behind it, with an append-only audit trail.
🔒
Read-only, no source code
Scoped read-only access with no source-code ingestion, the evidence posture regulated organisations require.
🎯
Confidence made visible
Measured leads, modelled stays behind a toggle, and correlational findings are labelled rather than dressed as causal.
See how a period close is run end to end in the docs →
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Walk into the next board meeting with evidence.

Connect your tools and read your first reconciled close today.

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