Close faster—with defensible numbers
Exception-driven matching, controller review, and immutable adjustment logs.


Month-end should be predictable, not a heroics exercise in spreadsheets.
The Challenge
High transaction volumes and fragmented subledgers create reconciliation drag. Manual matching hides errors until late in the close; auditors demand traceability that email approvals cannot provide.
The Innovoco Solution
We implement ML-assisted matching with clear confidence tiers, structured exception queues, and controller dashboards. Journals and adjustments carry signed rationales, supporting workpapers, and system-of-record links.

Phase 1 — Map the close
Document sources, cutoffs, and materiality thresholds. Instrument today’s bottlenecks with baseline cycle times.

Phase 2 — Automate safely
Auto-clear high-confidence items; route exceptions with preparer/reviewer separation and SOX-ready logs.

Key implementations
Rules + ML hybrid
Deterministic policies first; models only where entropy demands it.
Exception aging
SLAs and escalations by entity, account class, and risk rating.
Adjustment narratives
Mandatory structured reasons tied to evidence attachments.
Subledger connectors
ERP, banks, cards, and intercompany with idempotent ingestion.
Close cockpit
Single pane for tasks, blockers, and sign-offs with drill-down.
Technical innovation
Deterministic replay and hash-chained logs for critical postings make audits faster while preserving the flexibility of assisted matching on messy inputs.


Impact
- Reduced close calendar days on pilot entities.
- Lower late adjustments and fewer material misstatement risks from manual gaps.
- Controller visibility into open items earlier in the cycle.
- Audit sample efficiency—evidence retrieved by ID, not email archaeology.
Auto-matched lines with real exception aging changed our close rhythm. Auditors pull evidence by ID instead of digging through inboxes.
— Corporate Controller (anonymized)
Explore this outcome on your stack
We map scope, guardrails, and rollout to your data boundaries and teams—practical next steps, not a generic slide deck.
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