Professional services firm
Protiviti
Protiviti, a Robert Half subsidiary in consulting and internal audit, offers Protiviti Atlas, its patent-pending generative AI platform used in engagements.
Function
- Ownership
- SubsidiarySourceRobert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
Wholly owned subsidiary of Robert Half Inc., an SEC filer (Form 10-K for 2025 filed 2026-02-13).
- Headquarters
- United StatesSourceRobert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
- SEC reporting
- NoSourcesEDGAR company searches and submission records for the audit and advisory firms (Deloitte, PricewaterhouseCoopers, Ernst & Young, KPMG, Grant Thornton, BDO USA, RSM US, Protiviti)Robert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
- Audit firm
- NoSourceRobert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
- Subprocessor list
- Not stated
- Contract terms
- Not stated
Offering · Accelerator
Protiviti Atlas
Protiviti calls Atlas its proprietary, patent-pending enterprise AI platform for embedding generative AI across client engagements and internal operations. SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
It lists uses that include supporting control descriptions, aggregating control testing evidence from invoices, contracts and leases, categorizing risks and generating process flows from walkthroughs. SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
Robert Half's 2025 Form 10-K confirms the patent application for Atlas and describes Protiviti as a wholly owned consulting and internal audit subsidiary. SourceRobert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
Where it fits
SOX, controls and internal audit work in which Protiviti teams use generative AI to support control descriptions and aggregate control testing evidence. SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
CoE analysis On the evidence read, Protiviti is not a statutory auditor and the external-auditor independence rules do not frame this offering the way they do for the audit firms. SourceRobert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
What it does
- Offering type
- AcceleratorSourcesProtiviti Atlas (Protiviti Technology Accelerator Platform page)Robert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
- Workflow areas
- SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
- SOX and controls
- Audit and internal audit
- Customer size
- Not stated
AI
- Kind of AI
- General-purpose assistantSourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
CoE classification: generative AI used by Protiviti teams in client engagements.
- Suggests or acts
- Not stated
- Availability
- Not stated
Described as in use in Protiviti engagements and internal operations; not offered as licensed software on the page read.
- Models named
- Not stated
Control
- Who controls it
- Professional services firmSourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
Protiviti teams build solutions on Atlas for client engagements.
Commercial
- Pricing model
- Not stated
- Public price
- Not stated
Evidence
- Independent outcomes
- None found in the sources read.
- Sources read
- Vendor-stated 3
- Independent market evidence 3
- Independently verified outcomes None read
- Pricing None read
- Known limitations None read
- Coverage
- Directory record
- Last verified
Delivery and lock-in
- Delivery model
- Not stated
Not stated in the sources read. Protiviti describes Atlas as a proprietary platform its own teams use to build solutions within client engagements; whether clients receive, license or keep any Atlas-built solution is not stated.
- Run service offered
- Not stated
- Team qualifications published
- Protiviti says its teams use Atlas to create custom solutions and that customized applications are built by its industry subject-matter experts. Robert Half's 2025 Form 10-K says Protiviti's competitive strengths "may be coupled with a 'configure-to-fit' resourcing model designed to create blended teams of full-time Protiviti consulting professionals and engagement professionals from Robert Half's network of specialized talent" on consulting and managed solutions projects (firm level, not specific to Atlas). No named leaders, team size or credential criteria are stated for Atlas.SourcesProtiviti Atlas (Protiviti Technology Accelerator Platform page)Robert Half Inc. Annual Report on Form 10-K for the fiscal year ended December 31, 2025 (filed 2026-02-13)
- IP and post-engagement license
- Not stated
Not stated in the sources read. Protiviti calls Atlas proprietary and patent-pending (C-4267) but states no license terms for clients.
- Savings claims (firm-stated)
- SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
Stated by the firm, not verified
30-50% of the time spent on control descriptions saved.
Basis, baseline and period not stated.
40-70% of data extraction time saved when aggregating control testing evidence from invoices, contracts and leases.
Basis, baseline and period not stated.
50% audit efficiency improvement from generating process flows from initial walkthroughs.
Basis, baseline and period not stated.
Other figures on the page: over 85% operational efficiency in content management; 50-70% of time saved in ESG reporting; 40-60% on requirement definition; 60% in legal contract reviews and risk assessments; efficiency gains between 40-80% in Protiviti's own consulting services.
Basis, baseline and period not stated.
- Alliance partners
- Not stated
Not stated in the sources read. The Atlas page refers to strategic alliances with technology leaders without naming them.
Security and control
- Single sign-on
- Not covered in this record
- User provisioning
- Not covered in this record
- Role-based access
- Not covered in this record
- Administrator controls for AI
- Not covered in this record
- Audit logs
- Not covered in this record
- Certifications
- Not covered in this record
- Data retention
- Not covered in this record
- Data residency
- Not covered in this record
- Training on customer data
- Not covered in this record
AI features
As the vendor or firm describes them. Notes in small print record what the sources leave open.
Control documentation and evidence tools
Supports control inventory management and control descriptions, aggregates control testing evidence from invoices, contracts and leases, categorizes risks and generates process flows from walkthroughs.
- Kind
- General-purpose assistant
- Suggests or acts
- Not stated
- Who controls it
- Professional services firm
- Availability
- Not stated
Control: Used by Protiviti teams.
SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)Protiviti GPT
Proprietary AI assistant powered by Atlas, used by more than 91% of Protiviti employees.
- Kind
- General-purpose assistant
- Suggests or acts
- Not stated
- Who controls it
- Professional services firm
- Availability
- Not stated
Control: Internal to Protiviti.
SourceProtiviti Atlas (Protiviti Technology Accelerator Platform page)
Questions to ask
For this offering
- Which Atlas tools would Protiviti use on our engagement, and what client data would they process?
- Which model providers sit behind Atlas, where is our data processed, and is it used to train or tune any model?
- How does Protiviti review AI-drafted control descriptions and AI-extracted testing evidence before they reach our control files?
- If our external auditor relies on this work, what documentation of the AI steps will Protiviti provide?
- How are Atlas-based deliverables priced, given that Protiviti revenue is driven by billable hours?
From the diligence question set
- DQ-31 Who, by name and role, will design, build, test and run the AI in our finance process, and what AI has each of those people personally put into production?
- DQ-32 How does your firm decide that someone is qualified to build or govern AI for financial reporting, and who outside the delivery team reviews model risk before anything goes live?
- DQ-33 When the engagement ends, what will we own and be able to run ourselves, and what will work only with your firm? On what terms are your accelerators licensed afterward, and what does it cost to leave a run service?
- DQ-34 What will this cost in years two to five, including run fees, platform licenses, AI usage fees and change requests, and how does that compare with the savings case once the internal oversight roles we keep are counted?
- DQ-36 What results from clients like us can you show that someone other than your firm has verified, and by what method?
