Consark launches Noa: autonomous AI agents that execute the close
NEW YORK - March 2, 2026. Consark.ai introduced Noa, a suite of autonomous AI agents that prepare and execute close, reconciliation, and variance analysis continuously. This isn't another checklist or workflow wrapper. It's an execution layer that does the prep work as data changes-and lines up decisions for human approval with full traceability.
Put simply: the focus shifts from speeding up tasks to safely increasing autonomy across the close-to-earnings cycle.
Why it matters to Finance and Operations
As organizations scale, close work breaks under its own weight-multi-entity sprawl, thousands of recs, compressed timelines, heavier audits, and a louder ask for explanations. Most tools coordinate; they don't actually prepare. Noa executes the preparation steps so accountants spend more time reviewing outcomes and less time assembling them.
What Noa does today
Noa runs continuously. It pulls structured financial data, applies accounting routines, flags inconsistencies, drafts journal entries and narratives, and prepares reconciliations-then routes outcomes to approvers with a clean audit trail.
- Lease accounting (ASC 842) FASB reference
- Accruals and prepaids
- Revenue validation
- Borrowings and interest calculations
- Intercompany reconciliation
Every agent is built by accountants and grounded in governance and audit requirements. The goal: reduce manual assembly, catch anomalies earlier, and increase close reliability.
Controls, audit, and accountability
Noa doesn't post without approval, override policy, or remove human sign-off. Every action is logged, every recommendation is explainable, and final authority stays with finance leadership. That aligns well with SOX expectations around evidence and control ownership SEC SOX overview.
Benefits by role
- Controllers & Directors of Accounting: Line-by-line validation, earlier anomaly detection, structured audit logs, fewer last-mile fixes.
- CFOs & CAOs: Predictability, risk reduction, and operating leverage without adding headcount.
Extensibility without chaos
Finance doesn't sit still, so the agent architecture can't either. Consark's Agent Builder-operated by Forward Deployed Accountants-lets teams design and roll out purpose-built agents for customer-specific workflows. The intent is clear execution that's deterministic, accountable, and repeatable, while respecting your policies and controls.
Pricing and operating model
Pricing is tied to delivered outcomes, not seats. That aligns spend with measurable operational impact. With Noa, the close moves from a deadline-driven scramble to a continuous state of readiness-where prep keeps up with the data, not the calendar.
How to pressure-test this in your environment
- Identify recurring pain with clear rules: leases (ASC 842), accruals, prepaids, intercompany, and interest calc workflows.
- Define guardrails: posting permissions, approval chains, materiality thresholds, and rejection reasons.
- Start with a parallel pilot: compare agent outputs to current results; measure exceptions caught, review time saved, and audit-trail completeness.
- Codify narratives: require every proposed JE to include the "why," source data, and policy reference.
- Level up your team's AI fluency to speed adoption: AI Learning Path for Accountants
Executive perspective
"AI is the cornerstone of how modern finance teams will operate," said Karthik Annapragada, CEO of Consark.ai. "The question is no longer how efficient workflows are, but how much autonomy they can safely unlock."
Kaushik Venkatraman, Head of Product, emphasized extensibility: finance changes, so the agent architecture must be ready to adapt while keeping execution deterministic and auditable.
About Consark
Consark.ai is building an AI operating system for finance teams. Noa's domain-specific agents execute processes across the close-to-earnings cycle while preserving oversight and governance. Consark serves organizations across the United States, the United Kingdom, and Asia.
Media contact: Mukil Ganesan - mukilg@consark.ai
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