5. June 2026

Cornerstone Workforce AI Meets talenttrends Ask

When Your HR Data Learns to Answer

With Corยญnerยญstone Workยญforce AI, Corยญnerยญstone set out an ambiยญtion in May 2026 that reachยญes well beyond clasยญsic talยญent manยญageยญment: away from being a pure learnยญing platยญform and toward the intelยญliยญgence layยญer for Workยญforce Readiยญness. At its core are the Corยญnerยญstone Peoยญple Graph and the Corยญnerยญstone Skills Engine โ€” togethยญer they disยญtill sigยญnals from learnยญing, perยญforยญmance, and labor marยญket data into skills inferยญence and recยญomยญmendยญed actions, delivยญered through AI agents that take on rouยญtine tasks. Corยญnerยญstone calls this the โ€œIntelยญliยญgence Era of Talent.โ€

Itโ€™s a comยญpelling vision. It answers the strateยญgic quesยญtions: Which skills are missยญing? Where is hidยญden potenยญtial? Where should learnยญing start?

Yet one quesยญtion remains open โ€” and in day-to-day HR it is often the most pressยญing one: What exactยญly is in my Corยญnerยญstone data? This is exactยญly where talยญentยญtrends Ask comes in.

What Cornerstone Workforce AI Promises โ€” and Where the Gap Remains

Corยญnerยญstone Workยญforce AI is conยญceived as an inferยญence layยญer: two decades of workยญforce data, an extenยญsive skills taxยญonยญoยญmy, and labor marยญket sigยญnals come togethยญer to proยญduce assessยญments and recยญomยญmenยญdaยญtions. Throughยญout, Corยญnerยญstone conยญsisยญtentยญly puts peoยญple at the cenยญter โ€” AI supยญports the deciยญsion, it does not replace it.

For strateยญgic steerยญing, thatโ€™s powยญerยญful. In day-to-day operยญaยญtions, howยญevยญer, HR also needs someยญthing else: reliยญable, traceยญable access to its own raw data. Anyยญone preparยญing an analyยญsis for the works counยญcil, checkยญing a comยญpliยญance deadยญline, or answerยญing an ad-hoc quesยญtion from the leadยญerยญship team doesยญnโ€™t want inferยญence โ€” they want the exact figยญure, with a clear origin.

This data is ready and waitยญing in Corยญnerยญstone, in the reportยญing data wareยญhouse (RTDW). The catch: makยญing it accesยญsiยญble has, until now, meant reportยญing tools, SQL knowlยญedge, or a tickยญet to IT. Thatโ€™s the gap between โ€œthe data is thereโ€ and โ€œI have my answer.โ€

talenttrends Ask - Start Screen

talenttrends Ask: Your Cornerstone Data in Conversation

talยญentยญtrends Ask closยญes exactยญly this gap. Ask is the AI-powยญered query layยญer of the talยญentยญtrends prodยญuct famยญiยญly: you ask your quesยญtion in natยญurยญal lanยญguage โ€” in Gerยญman or Engยญlish โ€” and Ask transยญlates it into a preยญcise SQL query against your repliยญcatยญed Corยญnerยญstone data.

The founยญdaยญtion is the talยญentยญtrends Data Hub: a repliยญcatยญed, query-optiยญmized copy of your Corยญnerยญstone data that decouยญples reportยญing and AI from the proยญducยญtion enviยญronยญment. On this clean data founยญdaยญtion, Ask knows the strucยญture of the Corยญnerยญstone schema โ€” from Learnยญing and Perยญforยญmance through to Skills, Recruitยญing, and orgaยญniยญzaยญtionยญal structures.

Three things make the difference:

  • Traceยญable, not a black box. Ask disยญplays the genยญerยญatยญed SQL query. You can see exactยญly where a figยญure comes from โ€” cruยญcial for reportยญing, audits, and codetermination.

  • Peoยญple in conยญtrol. Ask delivยญers facts on request, not unsoยญlicitยญed recยญomยญmenยญdaยญtions. You keep the final say on interpretation.

  • On your infraยญstrucยญture. talยญentยญtrends Ask runs where your data is allowed to reside โ€” more on that shortly.

Inference Meets the Facts: Two Layers That Complement Each Other

talยญentยญtrends Ask is not a replaceยญment for Corยญnerยญstone Workยญforce AI โ€” the two work at difยญferยญent levยญels and comยญpleยญment each other:

Cornerstone Workforce AI
talenttrends Ask
Purpose

Infer skills, orchesยญtrate recommendations

Query speยญcifยญic data in natยญurยญal language

Logic

Inferยญence from sigยญnals & labor marยญket data

Fact-levยญel access to your raw data

Result

Assessยญment, next action

Exact figยญure with a traceยญable origin

Data foundation

Peoยญple Graph & Skills Engine

Your repliยญcatยญed Corยญnerยญstone data

Put simยญply: Workยญforce AI tells you what to look out for. Ask answers what is actuยญalยญly in your data. Strateยญgic intelยญliยญgence needs both โ€” the recยญomยญmenยญdaยญtion and the verยญiยญfiยญable facts beneath it.

EU Data Residency and Compliance: No Compromise

In the DACH marยญket in parยญticยญuยญlar, adoptยญing AI comes down to one quesยญtion: where is the data processed? talยญentยญtrends Ask is built preยญciseยญly for this. AI proยญcessยญing runs either via AWS Bedrock in the eu-cenยญtralโ€‘1 region (Frankยญfurt) or via Azure โ€” withยญin the EU, withยญout perยญsonยญal data ever leavยญing Euroยญpean jurisdiction.

This lets you introยญduce Ask in a GDPR-comยญpliยญant manยญner and in line with works agreeยญments. Where stanยญdard softยญware runs into limยญits on data resยญiยญdenยญcy, one thing was clear to us from the outยญset: EU data resยญiยญdenยญcy is not an add-on โ€” itโ€™s a preยญreqยญuiยญsite. Read more under Secuยญriยญty & Comยญpliยญance.

From Practice: From Question to Answer

An examยญple. Instead of forยญmuยญlatยญing a reportยญing request or involvยญing IT, you ask Ask directly:

โ€œHow many employยญees at the Munich site did not comยญplete the mandaยญtoยญry occuยญpaยญtionยญal safeยญty trainยญing in the last quarter?โ€

Ask transยญlates the quesยญtion into SQL, runs it against the Data Hub, and returns the list โ€” includยญing the underยญlyยญing query. What used to be half a day of reportยญing becomes a sinยญgle quesยญtion in a conยญverยญsaยญtion. And because the query is visยญiยญble, the result is verยญiยญfiยญable and repeatable.

Where the Standard Ends, Products Begin

Corยญnerยญstone Workยญforce AI brings a strong intelยญliยญgence layยญer to the platยญform. talยญentยญtrends Ask comยญpleยญments it with what makes the difยญferยญence in day-to-day HR operยญaยญtions: direct, traceยญable, GDPR-comยญpliยญant access to your own Corยญnerยญstone data โ€” in natยญurยญal language.

That has been our approach as a Corยญnerยญstone partยญner since 2018: to extend the stanยญdard where it ends. Not against the platยญform, but as a meanยญingยญful extenยญsion of it.

Would you like to see how talยญentยญtrends Ask works on your Corยญnerยญstone data? Talk to us.

Comยญing up: talessio is a sponยญsor of Corยญnerยญstone Conยญnect on June 9, 2026 in Munich (Hoch5 Kreativquartiยญer). Meet us on site โ€” weโ€™ll be showยญing talยญentยญtrends Ask live.

Frequently Asked Questions (FAQ)

Does talยญentยญtrends Ask replace Corยญnerยญstoneโ€™s reportยญing functions? 

No. talยญentยญtrends Ask comยญpleยญments them with natยญurยญal-lanยญguage access and makes ad-hoc analyยญses posยญsiยญble withยญout SQL knowlยญedge. The genยญerยญatยญed query remains visยญiยญble and traceยญable throughout.

Corยญnerยญstone Workยญforce AI works as an inferยญence layยญer (skills, recยญomยญmenยญdaยญtions, AI agents). talยญentยญtrends Ask gives you direct, fact-levยญel access to your operยญaยญtional Corยญnerยญstone data. The two layยญers comยญpleยญment each other.

No. AI proยญcessยญing takes place either via AWS Bedrock (eu-cenยญtralโ€‘1, Frankยญfurt) or Azure withยญin the EU.

No. You ask in natยญurยญal lanยญguage. Ask genยญerยญates the SQL query โ€” and disยญplays it for traceability.

On the talยญentยญtrends Data Hub, a repliยญcatยญed, query-optiยญmized copy of your Corยญnerยญstone data that sepยญaยญrates reportยญing and AI from the proยญducยญtion environment.

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