AI agents for tax

The governed Tax AI that proves every number.

A 4-agent pipeline — intake → deduction-finder → return-reviewer → compliance-check — prepares, reviews, and compliance-checks returns. Unlike any horizontal copilot, every deduction and figure traces to its source form in a tamper-evident ledger you can hand to an auditor.

Aligned with IRS Circular 230 · SOC 2 · EU AI Act · high-risk: bias monitoring

Object Explorer
filestriggershas · restrictedPolicyholderobjectClaimobjectPayoutobjectssnread denied
ontology ▸ tax · published · object · property · action permissions
The regulatory pressure

A preparer is responsible for every number — so the AI must be too.

IRS Circular 230 makes the practitioner accountable for diligence and accuracy; an AI that quietly hallucinates a deduction or paraphrases a figure is a liability, not a productivity tool. Cortex grounds every figure to the source form, scores accuracy against a gold eval suite, and seals each return so the number on the line can always be traced back to the box on the page.

IRS Circular 230EU AI Act · high-riskBias monitoringSOC 2ISO 42001 · AI records
Regulatory pressure
IRS Circular 230EU AI Act · high-riskBias monitoringSOC 2ISO 42001 · AI records
Typed objectsTaxpayer · Return · Form · Deduction · Finding
Restrictedssn / einlocked
frameworks ▸ encoded as policy · gated · sealed
Use cases

A 4-agent pipeline — each step grounded and gated.

Every agent is a registered, identity-bound actor with allowed models and actions; each hands off through the Action Fabric and seals its output into the ledger.

Intake agent
  • Extracts taxpayer data from source forms (W-2, 1099, K-1) and pins each value to its bounding box on the page — so the number carries its provenance from the first hop.
  • Datapoint provenance
Deduction-finder agent
  • Identifies eligible deductions and credits grounded to the extracted facts and IRS rules — citing the source figure for each, never inventing one.
  • Grounded RAG
Return-reviewer agent
  • Reviews the assembled return against the gold eval suite (faithfulness, citation coverage, safety) and flags discrepancies for a human in ≤ 30 minutes.
  • Observability & evals
Compliance-check agent
  • Runs the Circular 230 diligence checks and bias monitoring as Policy-as-Code, blocking sign-off if a figure can't be traced to its source.
  • Policy-as-Code
Sealed, auditable return
  • Every figure links to its source form, page, and bbox in a hash-chained ledger — click a number, see exactly where it came from, verify it wasn't altered.
  • Trust Ledger
The published SLA — the promise we sell on

97% accuracy. 95% citation coverage. ≤ 30-minute review.

These aren't aspirations — they're the measured targets of the @cortex/pack-tax gold eval suite. Every figure cites its source form, the reviewer turns a return in under thirty minutes, and the whole thing ships in your own environment with the evidence pack attached.

  • 97% accuracy measured against a gold evaluation suite — not a vibe check
  • 95% citation coverage: every figure traces to its source form, page, and bbox
  • ≤ 30-minute review turnaround with discrepancies pre-flagged
  • EU AI Act high-risk posture: bias monitoring and human review built in
Object Explorer
filestriggershas · restrictedPolicyholderobjectClaimobjectPayoutobjectssnread denied
ontology ▸ tax · published · object · property · action permissions
Prove it — don't just claim it

The verdicts you'll see in the demo.

Challenge the pipeline and it fails closed — an uncited number never makes it onto a signed return.

runtime · verdicts
Cited deductionfact → form · page · bbox200 cited
Uncited figureno source for value451 blocked
Altered numbervalue_hash mismatchhashOk:false
Sign-offCircular 230 diligenceHOLD · review
fail-closed ▸ challenge it and it denies, on the record
  1. 01

    Model the domain

    Map the work to typed ontology objects — Taxpayer, Return, Form, Deduction, Finding — with restricted fields like ssn / ein locked at the property level.

  2. 02

    Encode the rules

    Translate the obligations above into Policy-as-Code and Action Fabric approvals — the gates fail closed, returning a precise code, not a guess.

  3. 03

    Prove the outcome

    Every run lands in a hash-chained Trust Ledger with signed receipts and 10-hop provenance — a record you can hand the regulator.

97%Tax pack accuracy (gold eval suite)
95%Citation coverage on every figure
30-minReview turnaround target
4 agentsIntake → deduction → review → compliance
Security & compliance

Built for the diligence Circular 230 puts on the practitioner.

The grounded pipeline, gold evals, sealed ledger, and bias monitoring map directly to the diligence, accuracy, and AI-management-record controls a tax practice reports against. Aligned with — never claiming certification you don't hold.

IRS Circular 230 · diligenceEU AI Act · high-riskBias monitoringSOC 2 · auditISO 42001 · AI recordsNIST AI RMF · Measure
FAQ

AI agents for tax — questions, answered.

How does Cortex Tax AI prove a number is correct?

Each figure is pinned to its source form, page, and bounding box at intake, carried through the pipeline with a value hash, and sealed into a hash-chained ledger. Click any number to see exactly where it came from, and verify it wasn't altered after extraction.

What is the Tax pack's published SLA?

97% accuracy measured against a gold evaluation suite, 95% citation coverage so every figure traces to its source form, and a review turnaround of 30 minutes or less.

How is the Tax AI a 4-agent pipeline?

Intake extracts and grounds the data, deduction-finder identifies eligible deductions, return-reviewer checks the assembled return against the eval suite, and compliance-check runs Circular 230 diligence and bias monitoring before sign-off.

Does this satisfy EU AI Act requirements for high-risk AI?

Cortex treats tax preparation as high-risk: it adds bias monitoring, mandatory human review, grounded outputs, and a sealed AI-management record. It is built for alignment with the EU AI Act — Cortex does not assert certification you don't hold.

More industries

One governed runtime, every regulated vertical.

The controls are the same — the obligations they satisfy differ. Explore another vertical, or see the full set.

Prove every number — then hand it to the auditor.

See the 4-agent pipeline, the published SLA, and the source-form provenance behind every figure on the return.