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Solutions · 02

Recover the engineering effort that doesn’t have a project name on it.

Built for Engineering Leader · FP&A

We routinely surface seven figures of unattributed effort in week one. Untracked staff, closed projects still accruing work, duplicate people records, creation-and-maintenance projects that should have been split. The work happened. The cost is real. The attribution was missing.

Flowstate finds it and reconciles it back automatically.

Reconciliation feed · week 1
4 discoveries today
12 contractors active in repos, missing from HRIS Untracked staff
Activity in 4 repos over 90 days · matched to finance/contractor-portal invoices · restored to ledger
+£312k+$402k
PaymentsV2 closed 8 weeks ago, still accruing 47 person-days / mo Closed project
9 engineers still committing to this codebase · reattributed to payments-platform
+£186k+$240k
Duplicate people: J. Smith · John S. · jsmith Duplicate records
Three identities across Jira / GitHub / payroll · merged to one canonical person
3→1
Project customer-portal — creation vs maintenance split applied CapEx restored
62% of effort reclassified as new-feature creation · capitalisable under ASC 350-40
+£124k CapEx+$160k CapEx
Week one running total £1,083,000$1,395,000 recovered

The work is happening. The attribution isn’t.

The published numbers on shadow IT and unattributed work tell you why the gap exists. Our customers tell you how big it is.

75%
Of employees will work outside IT’s visibility by 2027

Up from 41% in 2022. Tooling, accounts, repos and AI subscriptions acquired without going through IT — the work happens, the ledger doesn’t.

Gartner cybersecurity prediction (via Valence Security analysis) →
975
Untracked cloud services per enterprise

Against an average of 108 known ones. Roughly 42% of apps in active use originate in shadow IT — staff, projects and budget hidden behind them.

Cisco / Productiv data via Techeela, 2025 →
90%
Of IT leaders concerned about shadow AI

Nearly 80% have already experienced negative AI-related data incidents; 13% report financial, customer or reputational harm. Shadow AI is the new shadow IT — just faster.

Komprise, 2025 IT Survey: AI, Data & Enterprise Risk →
Receipt

36 untracked people and £1M+$1.3M+ in unattributed effort surfaced at a recent customer.

Week one of deployment. Not a forensic exercise — a default output.

See what we surface on your data.

Book a demo. We’ll connect to your HRIS and project systems and show you the unattributed-effort number — for your org, in your currency.