Basis

Basis is an AI accounting-agent platform for firms that want to move recurring preparation work into a reviewable workflow. Its public material covers client-accounting close, tax, audit, and corporate-accounting work. The strongest initial fit is a firm with repeatable work, usable client context, documented accounting policies, and named people who remain responsible for exceptions and final work product. [S1][S2]

The trade-off is straightforward: a platform can reduce preparation effort only when its context, mappings, exceptions, and review boundaries are fit for the firm's actual engagements. Basis's own terms say AI outputs can contain errors or omissions and must be reviewed, verified, and validated before use in a work product, filing, or deliverable. [S4]

Best for: accounting firms with a high-volume, defined CAS, tax, audit, or close workflow and accountable reviewers.

Not for: a firm seeking unsupervised tax filings, audit conclusions, or accounting entries without a documented review, evidence, reconciliation, and override process.

Run a recurring client-accounting close

• Trigger: A client reaches the firm's regular close cycle with required source data available.
• Inputs: Client transactions, firm and client policies, templates, mappings, historical context, and review standards.
• Output: Prepared close work, reconciliations, reporting materials, and an exception queue for the accounting team.
• Human checkpoint: The accountant investigates exceptions, validates proposed treatment and evidence, then signs off on completed work.
• Success measures: preparation time, on-time close rate, exception rate, reviewer override rate, rework, reconciliation differences, and client-impact errors.

Basis says it can execute end-to-end month-end close work using client-specific policies, templates, mappings, and review standards; the firm resolves exceptions and applies judgment. [S2]

Code transactions and route uncertain items

• Trigger: Bank or credit-card activity is available for a configured client workflow.
• Inputs: Transaction data, chart-of-accounts rules, client context, mappings, prior treatment, and the firm's approval threshold.
• Output: A proposed coded transaction with rationale, an automatic action only where the buyer has approved it, or a review item for lower-confidence work.
• Human checkpoint: A bookkeeper or accountant reviews lower-confidence, unusual, or material items and can correct or reverse the proposed treatment.
• Success measures: coding accuracy on a held-out sample, review coverage, confidence calibration, automatic-action reconciliation, override rate, and correction turnaround.

Basis describes transaction coding that explains treatment, automatically pushes high-confidence items, and flags low-confidence items for review. Buyers should establish their own threshold, permission, and reconciliation evidence before enabling any automatic write. [S2]

Prepare a first pass for tax compliance

• Trigger: The firm has received the agreed client intake and source materials for a return.
• Inputs: Client documents, return requirements, firm workpaper templates, tax-year context, quality controls, and reviewer instructions.
• Output: Prepared workpapers and a queue of missing, inconsistent, or exception items for staff and managers.
• Human checkpoint: Staff investigate exceptions, managers review, and the partner retains tax strategy and filing responsibility.
• Success measures: workpaper completeness, evidence traceability, exception and correction rate, review time, return cycle time, and post-filing correction rate.

Basis describes gathering client data, building workpapers, and running partner-level quality controls before staff and managers review. It also says the product is not a substitute for professional judgment. [S3][S4]

Support audit planning, fieldwork, and reporting

• Trigger: An audit engagement begins a configured planning, testing, or reporting step.
• Inputs: Engagement instructions, client records, evidence requests, testing criteria, firm methodology, and reviewer standards.
• Output: First-pass work and a traceable evidence or exception record for the audit team.
• Human checkpoint: Auditors evaluate evidence sufficiency, resolve exceptions, apply judgment, and own every audit conclusion.
• Success measures: evidence-completeness rate, review and rework time, exception resolution, sample quality, audit-trail completeness, and engagement-quality findings.

Basis says it performs a first pass on audit planning, fieldwork, and reporting while auditors review work, assess evidence sufficiency, resolve exceptions, and own conclusions. [S1]

The working model is firm and client context plus source documents or accounting data → Basis agent preparation → confidence and rationale surfaced with the work → accountant review, exception handling, and approved downstream action. The public security page says every agent action is logged and auditable and that AI steps show sources, changes, and rationale. [S3]

For a buyer, the operating control is the review boundary, not merely the presence of a confidence signal. Decide which cases are read-only, which can create drafts, which may write to an accounting system, and which must always wait for a professional reviewer. Test error recovery, reconciliation, permissions, audit export, and reversibility alongside normal throughput.

Verified public facts

• Basis describes agents for CAS and advisory, tax, audit, and corporate accounting. [S1]
• Basis's public CAS page describes client-specific policies, templates, mappings, and review standards, plus transaction-coding and exception-routing behavior. [S2]
• Basis says it is SOC 2 Type II, ISO 27001, and ISO 42001 certified, publishes broad security statements, and makes its SOC 2 Type II report available under NDA. Obtain the report and verify the relevant scope. [S3]
• Basis's June 2026 privacy policy identifies prompts, uploaded files, service content, administrative settings, integrations, configuration data, and logs as potentially processed data categories depending on usage. [S5]
• Public pricing was not displayed on the sources reviewed. Request the price unit, minimums, implementation fees, usage treatment, support scope, renewal terms, and exit assistance directly from Basis.

Vendor claims to validate

• Basis attributes customer statements about large reductions in tax-preparation hours and CAS growth to its named customer quotations. Those are vendor-published claims; validate results against comparable client mix, workflow, sample, and firm economics. [S1]
• Basis says customer data does not train its models, data is isolated, agent actions are auditable, credentials are not stored, and customer data is hosted in the United States. Confirm the contractual scope, model-provider terms, exception handling, and application to the buyer's deployment. [S3][S4]

B2Bagents assessment

Basis appears most suitable where a firm wants automation to prepare well-bounded accounting work while professionals remain responsible for review and conclusion. That assessment follows from the workflow descriptions and the vendor's own requirement for human oversight. Start with a narrow engagement slice; do not use broad promises of time savings as a pilot acceptance criterion. [S1][S2][S4]

Material unknowns

• Current pricing, contract minimums, implementation, training, support, availability commitments, and termination assistance.
• The exact accounting systems, integration methods, write permissions, limits, rollback behavior, client- or firm-specific configuration, and coverage by workflow.
• Current DPA, subprocessor and model-provider list, detailed retention and deletion periods, residency options, buyer audit access, incident terms, and security-report scope or exceptions.
• The firm-specific accuracy, completeness, confidence calibration, error modes, reviewer override patterns, and performance across unusual or incomplete accounting, tax, and audit cases.

Choose one workflow with stable data and a named owner: for example, transaction coding for a defined group of CAS clients or first-pass workpapers for one return type. Keep the first run read-only or limited to drafts until the team has reconciled outputs to its standard process.

Create a matched baseline for preparation and review time, exception volume, rework, corrections, close or return timing, and evidence completeness. Predefine samples that include missing records, unusual classifications, multi-entity context, conflicting policies, late corrections, low-confidence recommendations, and integration failures. Review each proposed write or delivery until the control owners agree that thresholds and rollback procedures work.

Success should mean an improvement in measured preparation or review time without a material decline in sample accuracy, evidence completeness, reconciliation quality, or reviewer confidence. Stop expansion for a missing source link, unexplainable treatment, unreconciled write, inability to export an audit record, material client-impact error, or a review burden that makes the workflow uneconomic.

• Rillet: an existing finance-close listing for an AI-native ERP; compare a firm-service workflow with a company ledger and close-system decision.
• Campfire: an existing finance-close listing focused on accounting operations; compare the underlying accounting platform and close ownership model with Basis's firm-oriented agents.
• TaxGPT: an existing tax-advisory listing; compare tax-specialized guidance and document work with a broader accounting-firm automation platform.

1. Which data sources, templates, policies, prior workpapers, and mappings does Basis use for our selected workflow, and who changes them?
2. What does an accountant see for every proposal: source evidence, reasoning, confidence, change history, exception route, and exportable audit record?
3. Which actions can create drafts, write to accounting systems, send client material, or affect a filing, and what approval or reversal controls apply to each?
4. What are the firm-specific validation results for our documents, complexity, client mix, exceptions, and professional standards—and how are failures corrected?
5. What do the contract and security materials say about models, subprocessors, data access, retention, deletion, US or other residency, incident response, reporting, and exit?
6. What is the commercial unit and full first-year cost, including implementation, support, integrations, users, usage, overages, minimums, renewal, and termination assistance?