AxiSentinel extends continuous AI compliance evaluation to accounting and audit firms, tax advisers, consulting firms, actuaries and HR and recruitment agencies: the AI that tests a journal entry, drafts a workpaper or a tax memo, reviews a contract, screens a candidate and captures the billable hour, evaluated against the audit standards, ethics codes, confidentiality rules and AI laws that govern each engagement, with evidence a regulator, an inspector or a client can rely on.
Audit, tax, consulting and recruitment firms sell judgment, and AI now sits inside that judgment: the analytics that pick which entries to test, the assistant that drafts the memo, the model that ranks the candidates. Between 2022 and 2026 audit standard-setters, ethics boards, tax confidentiality rules, hiring laws and the EU AI Act all arrived at the engagement at once.
Audit, tax and recruitment software vendors each report on their own tools. No one evaluates the whole firm’s AI stack, across every engagement and jurisdiction, with evidence an inspector, a regulator or a client would accept.
Professional services AI sits under audit and quality standards, ethics codes, confidentiality and privacy law, hiring law and AI-specific law, in every jurisdiction a firm and its clients operate in. AxiSentinel tracks every layer and builds RegDef packages the moment a rule is stable enough to evaluate against.
The standards that govern every audit of a US public company now speak directly to the technology auditors use to gather and evaluate evidence.
The global audit standard-setter’s quality management standard has applied since 15 Dec 2022, and its evidence standards are being rewritten for a digital environment.
In effect since 15 Dec 2024 for professional accountants in business and in public practice wherever the Code is adopted.
Released on 11 Sep 2026, the AICPA’s first technical guidance on how a service organization’s use of AI affects SOC reporting.
Applies in phases to every AI system a firm deploys toward clients, candidates or its own staff in the EU.
Client ledgers, payroll files and candidate records are personal data the moment they enter an AI tool.
Tax return preparers may not knowingly or recklessly disclose or use tax return information beyond what the regulations allow, and contractors who receive it are treated as preparers.
The sustainability reporting regime was scaled back by Directive (EU) 2026/470, in force since 18 Mar 2026, but assurance remains.
The hiring-AI laws that reach recruitment agencies and the firms’ own graduate and lateral hiring.
Audit regulators are setting expectations for AI in the engagement itself.
General-purpose AI risk-management frameworks that already apply to every AI tool in a firm’s audit, tax, advisory and recruitment stack.
From a single practice’s tax research assistant to a global network’s audit analytics, AxiSentinel evaluates professional services AI against whichever rule actually applies, wherever the firm, the client and the data sit.
Nothing about AxiSentinel’s core architecture changes for professional services. What changes is which RegDef packages are switched on and what telemetry the agents capture, from a journal-entry model to a candidate-screening tool.
Agents capture inputs, outputs, model versions and reviewer actions from audit analytics, tax engines, drafting assistants and screening tools on the cadence you configure, Always On or scheduled, never limited to a periodic inspection cycle.
Every flagged entry, drafted answer and screening decision evaluated against whichever audit, ethics, confidentiality or AI rule set actually applies, per event.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, the kind of record a firm needs to show an inspector how an AI-assisted conclusion was really reached.
Ties each AI output to the engagement, procedure and reviewer it supports, so quality reviewers and inspectors can trace a conclusion back to its evidence.
Checks drafted workpapers, tax memos and client deliverables for unsupported statements and fabricated citations before they are relied on.
Ongoing evaluation of candidate sourcing and screening models for selection-rate skew across protected groups.
Records which client and taxpayer data reached which AI tool and vendor, and under what consent, across every engagement.
A compliance-state change on one tool, office or service line propagates network-wide as it happens.
AXI-Node agents deploy alongside cloud audit and tax platforms, on-premises firm systems and in-region environments, or fully air-gapped through the .axibatch format.
Nothing becomes a compliance finding until a qualified AxiLayer AI auditor reviews and signs it, not for an audit analytics tool and not for a candidate-screening model.
Supplies ISQM 1 and QC 1000 monitoring with continuous evidence on each AI tool, so deficiencies surface between inspections rather than during them.
The same architecture monitoring a bank’s credit model or a hospital’s diagnostic AI now monitors a journal-entry model or a tax research assistant. What changes is which RegDef packages are switched on.
Professional services firms are adopting AI across audit, tax, advisory and recruitment work, and the standards governing that work changed in the same four years. AxiSentinel’s architecture already does this for software AI; professional services is a new RegDef surface on the same platform, not a new product.
Whether it’s a single practice’s tax research assistant or a global network’s audit analytics, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, Always On or scheduled, with full evidence, and with a human signature before anything counts as a finding.
