Consarc vs FloQast

Who’s actually executing the close? Both platforms now use AI.
The difference is who executes the close.

Consarc: A close that AI agents run autonomously.
FloQast: A close that’s assisted by AI.
99%+
Matching Accuracy at Volume,
runs continuously
90%
Faster Reconciliation Prep
with Noa Agents
70%+
Work Automated across
Customers

AI-assisted close vs. AI-led close

The distinction that matters is architectural, not feature-by-feature
Consarc
FloQast

Detailed Capability Comparison

Capability
Consarc
FloQast
When close execution happens
Continuously through the month. Close is largely pre-built by month end.
AI-assisted, but paced around the close calendar.
Reconciliation & matching
Noa prepares & matches autonomously, 99%+ accuracy; team reviews exceptions.
AI-assisted matching; preparer still runs and reviews each rec.
Flux / variance narratives
Auto-drafted from sub-ledger + non-GL drivers, three-way comparison.
AI-drafted from transactions; preparer finishes the narrative.
Multi-entity / intercompany
Native eliminations & continuous cross-entity matching.
Supported via task tracking, not a matching engine core.
Implementation
Forward Deployed Accountant, module-by-module, no rip-and-replace; quick deployment.
6-month process with no defined success metrics.

How Teams Make the Switch

Connect
Consarc’s data fabric connects directly to your ERP and source systems—eliminating CSV shuttles and manual workarounds.
Configure
A Forward Deployed Accountant works alongside you to set materiality thresholds, routing, and exception handling.