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Zalos

Computer agents that operate ERPs, banks and portals through the screen for enterprise finance teams, with full session recording

Month-end close50+ practice Editor's score: 3.8 / 5

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About Zalos

Zalos builds computer agents for enterprise finance teams: AI agents that log into ERPs, banks and portals and do repetitive work through the interface rather than through integrations. They extract information from documents, reconcile invoices, payslips and statements, complete forms and trigger downstream workflows, with optional human review of exceptions. The company sells them as workforces for billing, accounts payable, staff accountant and finance operations work.

Before deploying agents, a Process Engineering Agent builds what Zalos calls a Finance Process Graph from historic files, system data and screen recordings, maps current processes, flags control deficiencies and recommends improvements; the site says this takes under two weeks. Every agent run happens in an isolated session that is screen-recorded for replay, with audit logs and source-to-output lineage. The security page lists SOC 2 Type II, GDPR with EU data-region selection, no model training on customer data, token masking and the option to run agents inside the customer's own environment. Systems named on the site include Oracle, NetSuite, SAP and QuickBooks.

Zalos is backed by Y Combinator and raised $3.6 million in seed funding. It is headquartered in San Francisco with an office in London, and is aimed at larger in-house finance teams with fragmented system estates.

Key Features

  • Computer agents operating ERPs, banks and portals through the interface
  • Finance Process Graph built from files and screen recordings
  • Isolated, screen-recorded agent sessions with replay and audit logs
  • Optional human review of exceptions and role-based approvals
  • SOC 2 Type II, EU data regions and option to self-host agents
The AI Ledger

Our in-depth review

Zalos takes a different route from most AI finance tools. Rather than asking a finance team to migrate to a new platform or wait for integrations, it drives the systems they already have, through the screen, the way a person would.

What it does well. The computer-agent approach removes the integration barrier that stalls many automation projects, and it reaches the bank portals and legacy systems that never had a usable API. Mapping processes first, from historic files and screen recordings, surfaces undocumented knowledge and produces process documentation that helps with SOX and onboarding. The audit story is stronger than most: every run is an isolated, screen-recorded session that can be replayed, with logs and lineage from source to output. The security position is well set out for a company of this size, including SOC 2 Type II, EU data regions, no training on customer data and the option to run agents in the customer's own environment.

Where it falls short. It is an early-stage company with $3.6 million raised, which is thin backing for enterprise finance transformation work. Screen-driven agents are inherently more fragile than API integrations: a change to a vendor's interface can break a workflow, and Zalos publishes no reliability or accuracy figures. Customer logos are not named in public materials beyond a podcast with a private equity firm, and there is no published pricing. For a small practice with Xero or QuickBooks clients that already have good APIs, the core advantage largely disappears.

Best for. Larger in-house finance teams and shared service centres, in the UK or US, running a patchwork of ERPs, bank portals and legacy tools where integration projects have failed or are too slow. Practices closing many small client ledgers will get more from Mimo or Xenett, and NetSuite-centred teams may prefer Numeric.

Verdict. A thoughtful, well-controlled answer to fragmented finance systems, but young and unproven at scale. Start with one portal-heavy process, such as supplier statement reconciliation, insist on replaying recorded sessions during the pilot, and agree how breakages after system updates will be detected and fixed before signing.

At a glance

Category
Month-end close
Best for
50+ practice
Editor's score
3.8 / 5

An inventive, well-audited computer-agent platform for fragmented enterprise finance systems, but young, unpriced and unproven at scale.

Pricing
Custom pricing on request (demo-led)
Last verified
2026-10-10

Integrations

  • Oracle
  • NetSuite
  • SAP
  • QuickBooks

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