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Agentic.ai Directory · Jul 2, 2026

Maxima

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Home Finance & Planning Maxima

MA

AI accounting automation for journal entries and financial close

Maxima automates accounting prep work like journal entries, reconciliations, and flux analysis. It is built for enterprise finance teams that want agent-prepared work for accountant review rather than a fully hands-off black box.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

Enterprise

File Access

Integrations

B2B

A2A Support

Cloud Hosted

Copilot (Human-in-Loop)

About

What It Is

What to Know

Key Features

Extracts and transforms data from connected finance systems

Prepares workbook schedules for review

Generates and posts journal entries

Reconciles accounts and matches balances

Analyzes fluxes and surfaces anomalies

Use Cases

Month-end close automation for enterprise accounting teams

Preparing and reviewing recurring journal entries such as payroll, accruals, and allocations

Bank and balance sheet reconciliations across multiple accounts and entities

Agenticness

: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated:

Jul 31, 2026

Dimension Breakdown

Action Capability

Autonomy

Planning

Adaptation

State & Memory

Reliability

Interoperability

Safety

Operator Sovereignty

Categories

Details

AddedJuly 2, 2026

RefreshedAugust 16, 2026

Agenticness

Quick Facts

DeploymentCloud-hosted

AutonomySemi-autonomous

Model supportSingle model

Open sourceNo

Team supportEnterprise

Pricing modelSubscription

Interfaceweb

Sources

Last updated

August 18, 2026

Free daily brief

When Maxima changes its pricing, we catch it the next morning

We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.

Read the original on agentic.ai

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