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General Ledger Agent

Suggests transaction classifications with rationale, detects duplicates and anomalies deterministically, proposes journal entries, and supports reconciliation. Cannot post — no posting capability exists in code.

Classification precision≥ 95%GoalSign up to run

How it works

Step 1
You provide
Paste your details
Step 2
Grounds
Retrieves & cites — no ungrounded claims
Step 3
Drafts
Schema-checked, code-assembled output
Step 4
You approve
Drafts, you review every step

Ask it like

classify these transactionsfind duplicate entries

Model & guardrails

  • Runs on MYAM shared · open 7B (Qwen) by default — you can point it at your own model.
  • Autonomy: Drafts, you review every step. Nothing leaves without a human’s approval.
  • Data: Restricted — tightest controls. Provenance is attached to every output.

Outcome

Classification precision
≥ 95%
Goalour goal — not yet measured on live runs
TargetEvalPlatformVerified

Fills in as real usage proves it — from a Target we set, to Eval-measured (passes our test suite), to Platform-measured (across ≥20 accounts), to Verified (customer outcomes).

Also tracked: Anomaly/duplicate recall · Posting capability in code = none

Works well with