HR AI Index

Index › Vendors › Microsoft’s HR policy/self-service agent approach · September 2026 Edition

1 category · Named, not ranked

Microsoft’s HR policy/self-service agent approach

1Judge labels

1First choices

0Negative labels

1 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Microsoft’s HR policy/self-service agent approach was named 1 time in HR AI assistants, where Workativ Assistant led with 12%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market22 of 119

under the label threshold

Enterprisenot named

No model named it for this buyer.

In hr ai assistants · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Microsoft’s HR policy/self-service agent approach for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
HR AI assistants	Onboarding and employee experience	2%	22 of 119	0%	1	under 10 labels · led by Workativ Assistant at 12%

Movement

This is the first edition on this tier, so no move can be computed for Microsoft’s HR policy/self-service agent approach yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Microsoft’s HR policy/self-service agent approach across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	1	1
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase1 label1

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative1 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Best overall for most mid-sized B2B firms: Microsoft-based HR chatbot” GPT-5.4 mini · HR AI assistants · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Microsoft’s HR policy/self-service agent approach, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft’s HR policy/self-service agent approach was named but was not.

ProductSame answerTook the first choice insteadHead to head

ServiceNow AI Agents / Employee Service1 of 10Not in the top three

Workday HR Service Agent1 of 10Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Microsoft’s HR policy/self-service agent approach. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 1 of the 1 answers that named Microsoft’s HR policy/self-service agent approach and are not a share of its labels.

Domains cited

g2.com1

learn.microsoft.com1

workday.com1

Three of the three domain citations in answers naming Microsoft’s HR policy/self-service agent approach came from somebody else's page.

Pages cited

g2.com/products/zendesk-for-employee-service/reviews1

learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/agent-template-my-company-po1

workday.com/en-us/artificial-intelligence/ai-agents/hr-service.html1

Pages are listed as the models cited them.

Is this your product?

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Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Microsoft’s HR policy/self-service agent approach's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Microsoft’s HR policy/self-service agent approach, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at microsofts.co is approved on the spot, any other address is reviewed by hand.

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