Jorunn Cloutier writes and shares practical guidance for People and HR leaders on using AI in areas such as hiring, onboarding, employee experience, and learning. The posts emphasize improving workflows and using human judgment alongside AI.
Jorunn Cloutier shares practical guidance for People and HR leaders on applying AI to hiring, onboarding, employee experience and learning.
Their central idea: improve the work before automating it.
Identify what is broken, redesign the process, then use AI for a specific purpose and measure the results.
They also examine AI hiring risks, arguing that tools should support—not replace—human judgment, relationships and responsible governance.
Cloutier pairs practical starting points with clear safeguards.
A guide to AI prompts for People teams organizes examples around strategic planning, talent, employee communications and learning, and warns readers not to enter employee data or confidential information into AI tools.
In a separate post on AI and HR workflows, they recommend auditing and redesigning a process before applying AI, then measuring changes in time, quality and employee sentiment.
A post on AI hiring risks makes the case for recruiter relationships and human judgment where automated screening can fail.
Together, these ideas help People leaders weigh where AI can help and where it calls for caution.
Jorunn Cloutier argues that AI should improve how People teams work, not simply automate existing processes or replace human judgment.
Read more
Their posts pair practical HR uses with a process-first approach and cautions about hiring risk and sensitive data.
Fix the process before adding AI
Cloutier’s central priority is using AI to amplify people and remove low-value work, rather than treating it as a headcount-cutting tool.
Read more
They argue that automating a flawed process only makes it flawed faster: audit the work, redesign it, apply AI to a specific problem, then measure time, quality, and employee sentiment.
Cloutier points to talent acquisition, onboarding, performance and engagement, and learning as possible areas for AI. Their suggested test is whether a tool improves the process and preserves the human element—not whether it is new or fast.
Make AI guidance practical, but keep sensitive information out
Cloutier favors usable guidance over technical jargon.
Read more
Their approach gives People leaders specific starting points while treating data safety and human judgment as necessary limits on AI use.
A post describes a Claude prompt guide organized around strategic planning, talent acquisition and onboarding, employee engagement and communications, and learning and development. It warns readers not to enter employee data, confidential financials, or proprietary information into an AI tool.
Cloutier sees AI-assisted hiring as both a practical and an accountability issue.
Read more
They argue that as AI-generated applications and automated screening grow, relationships and human credibility matter more, while companies need leadership capable of governing AI use.
They advise job seekers to build referrals and make direct approaches, recruiters to invest in conversations and apply their judgment, and companies to treat AI governance as part of corporate governance. In the same post, Cloutier says they are developing an AI Discernment framework for a forthcoming book.
The posts move from broad AI adoption and process improvement to more explicit cautions about hiring bias, governance, and discernment.
Answers the question most People leaders are asking: where does AI pay off inside HR, and in what order should we adopt it?
Read more
Cloutier sets aside the debate about AI replacing jobs and argues that the more useful question is how AI changes the way work gets done.
The post lists four People-function areas where they see returns: talent acquisition and mobility, where AI screens for skills rather than pedigree and surfaces internal candidates faster; onboarding and employee experience, where new hires get immediate answers and People teams get time back for enablement; performance and engagement intelligence, where AI spots patterns in engagement and attrition risk; and learning and growth, where development paths are built around role, skills and aspiration instead of generic programs.
The clearest point is the failure mode: companies that install AI tools without changing their processes end up having "just automated a broken system," because faster is not the same as better.
They lay out a four-step sequence — audit the process, redesign it, implement AI against specific problems, then measure time saved, quality and employee sentiment — and cite organizations seeing more than a million dollars in productivity value by following it.
The post closes by asking readers which process in their organization AI could transform without losing the human element.
For brands planning a campaign
The argument spine for a thought leadership webinar on AI adoption in People functions: four use cases, one named trap and a four-step sequence a host can turn into an agenda or diagnostic checklist.
Shows Cloutier's teaching format with People teams and the specific time-saving claims they make — useful for assessing whether they can lead a practical, demo-style session.
Read more
Cloutier pitches a guide for HR leaders who are curious about AI but unsure where to start, offering copy-paste prompts rather than theory.
The post names four areas the prompts cover: strategic planning and insights, talent acquisition and onboarding, employee engagement and communications, and learning and development.
It cites concrete figures — half the time on strategy drafting, 70 percent less screening time, three times faster L&D content — and presents them as real numbers rather than promises.
It also warns against putting employee data, confidential financials or anything proprietary into an AI tool.
The distribution mechanic is direct: readers comment "Jorunn" and the guide is sent to them.
Ask to review the guide and its prompts before booking.
For brands planning a campaign
Signals that Cloutier already produces hands-on, reusable material for People teams, making them a fit for a webinar that delivers a prompt pack or workbook rather than ending with slides. Ask to review the guide before booking.
Answers what Cloutier says about risk and governance in AI-enabled hiring — the part of an AI-adoption pitch many speakers skip.
Read more
Cloutier welcomes legal scrutiny of AI hiring tools and reports that a federal judge ruled AI vendors can be sued directly for hiring bias, after a Workday applicant tracking system rejected 1.1 billion applications on what the post describes as discriminatory criteria.
They frame the core problem as credibility: amid a flood of AI-generated applications, human judgment becomes the scarcest asset in hiring.
The post offers advice for three groups: job seekers should lean on referrals and outbound rather than job boards; recruiters should build real relationships and use their judgment to filter what algorithms cannot; and companies should ensure the right leadership is in place because AI governance is becoming corporate governance, and most companies are behind.
Cloutier also says they are developing an AI Discernment framework for a forthcoming book, dated July 2026.
Ask Cloutier to substantiate the litigation details against court records and confirm the book's publication date.
For brands planning a campaign
Gives the webinar a governance and risk segment, with a speaker who can address both the opportunity and liability of AI in hiring. The forthcoming book offers a hook for a timely session; confirm the publication date before booking.
A short post offering context on the People-function community Cloutier posts within, but less instruction than the longer pieces above.
Read more
A short welcome message congratulates Brad Austin on becoming Global Director, People Operations and Total Rewards and joining the People and Culture team at Cin7.
It is a community note rather than a substantive argument, with no lessons on AI or People strategy.
It shows that the account posts publicly about People and Culture colleagues and names Cin7 as a shared workplace.
For brands planning a campaign
Useful as background on Cloutier's professional circle, but not as a portfolio work sample or evidence of a sponsorship relationship.
Jorunn Cloutier's posts focus on how HR and People teams use AI in talent acquisition, onboarding, performance and engagement, and learning.
Read more
Their recurring argument: AI should amplify people and remove low-value work, not simply cut headcount.
They recommend auditing and redesigning the process before implementing AI to solve specific problems, then measuring time saved, quality, and employee sentiment.
For brands planning a campaign
A webinar can open with a process-first framework, asking attendees to bring one broken process to map before discussing tools.
One post offers a no-jargon guide with copy-paste prompts for strategic planning, talent acquisition and onboarding, employee engagement and communications, and learning and development.
Read more
It claims the prompts can speed up strategy drafting and L&D content, and reduce screening time.
The guide groups prompts by People function and advises against putting employee data, confidential financials, or proprietary information into an AI tool.
For brands planning a campaign
A webinar can run a prompt clinic by function, paired with a short data-safety checklist showing what HR teams can do immediately and what they should never input.
A later post responds to a federal ruling that AI vendors can be sued directly for hiring bias after an algorithm rejected a large volume of applications.
Read more
Jorunn Cloutier argues that amid a flood of AI-generated applications, human credibility and relationships become more valuable in hiring.
They address job seekers, recruiters, and companies separately: referrals and outbound for candidates, real conversations and judgment for recruiters, and AI governance as corporate governance for employers.
For brands planning a campaign
A webinar can include a governance and risk segment, attributing the legal claim to the post without extending it. The focus: how People leaders preserve human judgment in AI-assisted hiring.
The hiring-bias post says Jorunn Cloutier is developing an AI Discernment framework for leadership in an upcoming book scheduled for July 2026.
Read more
The phrase 'AI with discernment' also appears in the prompt guide.
For brands planning a campaign
A webinar can focus on discernment: when AI helps, when it should not be used, and what leaders should decide before automating. Confirm publication timing and framework details before promoting the session.
The posts address HR leaders, job seekers, recruiters, and companies, using numbered steps, checklists, and direct questions.
Read more
They often close by inviting readers to share what is working or what failed.
For brands planning a campaign
The webinar can mirror this approach with separate takeaways for each audience and a live question asking for real process wins and failures, not just general opinions.
Cloutier’s posts document two brand connections: an employment tie to Cin7 and a product recommendation for Claude.
Read more
One reference to Workday identifies it as an entity cited in a lawsuit, not as a relationship. Ask Cloutier to disclose any sponsorship, affiliate or client relationships.
Cin7
Employment
Cloutier’s post welcomes Brad Austin as Cin7’s Global Director, People Operations and Total Rewards, calling him the newest member of “the People and Culture team” and using first-person plural (“our ... here at Cin7”).
Read more
It is the only post that places Cloutier on a named company’s team. Ask for their job title, start date and confirmation of whether the role is ongoing.
Cloutier recommends Claude for People work and offers a guide they built for HR leaders who are “AI curious.”
Read more
It covers strategic planning and insights, talent acquisition and onboarding, employee engagement and comms, and learning and development, with copy-paste prompts readers can request by commenting. Ask whether they have a sponsorship, vendor partnership or other commercial relationship with Claude or its maker.
Jorunn Cloutier writes working notes for People leaders who want to use AI without losing HR's human side.
Read more
The argument is consistent: audit a process before automating it, fix the workflow first, then apply AI to a specific problem and measure time saved, quality, and employee sentiment.
Earlier posts map where AI can help — talent acquisition, onboarding, performance and engagement, learning and development — and offer a no-jargon prompt guide organized by People function.
They warn readers not to put employee data, confidential financials, or proprietary information into an AI tool.
Later posts address risk: a hiring-bias ruling against AI screening vendors and the claim that AI governance is becoming corporate governance.
The through line is discernment: where AI earns its place, where it does not, and who stays accountable.
Start with the prompt-guide post and its data-safety note.
For a closer look at the risks, read the hiring-bias post, which speaks separately to job seekers, recruiters, and employers.
Cloutier says an AI Discernment framework for leadership is in development for a book referenced as scheduled for July 2026.
Three creators below cover adjacent ground from different angles: building and justifying a talent acquisition function, improving candidate experience inside hiring software, and forecasting how hiring shifts under AI-flooded applications and outside shocks.
Both write for HR and talent acquisition leaders in short, structured LinkedIn posts built around numbered lessons and checklists.
Read more
They argue that organizational issues, not effort, slow hiring, and that talent acquisition should be a function businesses can rely on, not just a service that fills jobs.
Carlson builds the operating-model case: structure, workforce planning, metrics, hiring-manager discipline, and the argument that recruiting drives revenue. Cloutier focuses on adopting and governing AI in People workflows; Carlson's posts do not discuss AI tooling, prompt use, or hiring-bias risk.
Both write as hiring practitioners about the systems that shape recruiting, not abstract tips, and both are direct about what is broken.
Read more
Volkova's criticism that applicant tracking platforms are built for recruiters and leave candidates in silence, along with the referral marketplace she is hiring into, aligns with Cloutier's argument that automated screening needs human judgment.
Volkova focuses on candidate experience inside ATS platforms and a referral-based hiring product she is building, with a thread on product and startup development. Cloutier stays within HR and People functions, covering AI adoption, prompt practice, and governance rather than hiring software design.
Trieu covers the same core problem Cloutier raises: AI-generated applications flooding recruiters, the shrinking value of the resume, and a shift toward skills evidence and work samples.
Read more
Both use clearly sectioned posts to lay out a case and ask readers what they are seeing.
Trieu writes macro analysis: how hiring reallocates under a prolonged geopolitical conflict, which roles gain and lose, how candidate behavior shifts, and how workforce structures may change. Cloutier offers actionable guidance for People teams, focusing on data-safety limits and governance accountability rather than labor-market scenarios.
For a thought-leadership webinar on AI adoption in People functions, Jorunn Cloutier's posts show relevant subject-matter reach, addressing People and HR leaders on AI in hiring, onboarding, performance, and learning.
Read more
The only audience measure published is a LinkedIn follower count of 2,436 as of 9 October 2026.
The posts don't show the audience's demographics, geography, age, gender, seniority, employer, or occupation, so buyers can't verify how many followers are HR decision-makers.
Ask for LinkedIn follower demographics, if available, or an audience survey showing the share of HR and People leaders, company size, and seniority.
Also request recent engagement results for AI-in-HR posts or webinars of comparable depth and format to assess whether they can draw the right audience or need company-side promotion.
Jorunn Cloutier's posts offer personal commentary and practical guidance for People and HR leaders on using AI in hiring, onboarding, engagement, and learning.
Read more
Their calls to action are a direct message to connect and a comment-to-receive-the-guide mechanic; neither is described as a paid placement, sponsorship, or commercial collaboration.
The posts publish no sponsor policy, rate card, media kit, audience specification, or inquiry form.
For a webinar campaign on AI adoption in People functions, ask directly about pricing, deliverable formats, lead times, disclosure practice, and approval steps before setting a budget or timeline.
A campaign for a B2B HR technology company's thought-leadership webinar on AI adoption in People functions, with Jorunn Cloutier as the featured practitioner.
Read more
The content is a strong fit.
Four posts offer a clear point of view for the webinar: AI should amplify people and remove low-value work rather than cut headcount, and companies that install tools without redesigning processes end up automating a broken system.
They bring a usable structure, not just an opinion: audit the process, redesign for efficiency, implement AI against specific problems, then measure time saved, quality and employee sentiment.
There is hands-on material, too.
One post offers copy-paste prompts grouped by People function, alongside a data-safety rule: never put employee data, confidential financials or proprietary information into an AI tool.
That gives the session both a practical and a governance segment.
A third post covers hiring bias and accountability, argues that AI governance is becoming corporate governance, and names an AI Discernment framework they say is being developed for an upcoming book dated July 2026.
Before booking, confirm commercial terms, lead times and approval steps directly; their posts do not specify them.
Audience fit is also unverified: the only available figure is a LinkedIn follower count of 2,436 as of 9 October 2026, with no breakdown of HR decision-makers.
Plan on company-side promotion to fill seats, and ask for follower demographics or recent engagement results from comparable AI-in-HR content.
When to choose a specialist
An AI recruiting-tool vendor wants to pay Jorunn Cloutier for a product endorsement and guaranteed demo signups among enterprise talent-acquisition buyers.
Read more
Based on the posts, this is a poor fit on message and measurable outcomes.
The hiring post calls the fight between AI recruiting and AI-generated applications a hot mess, welcomes legal scrutiny of AI hiring tools, and reports that a federal judge allowed AI vendors to be sued directly for hiring bias after an applicant tracking system rejected 1.1 billion applications on what the post describes as discriminatory criteria.
Asking them to endorse screening software would put the testimonial at odds with that position and could make it read as generic.
Their posts do not mention a sponsor policy, rate card, media kit, deliverable format, disclosure practice or inquiry route; the guide offer in one post is a comment-to-receive mechanic, not a described paid placement.
Treat those terms as undocumented and confirm them directly.
The vendor also wants guaranteed demo signups from enterprise TA buyers, but the only reach figure is a LinkedIn follower count of 2,436, with no seniority, employer or occupation breakdown and no conversion data from a comparable campaign.
A vendor cannot underwrite a signup target on that basis.
A better use of the budget is an expert commentary or panel seat with a clear disclosure line and no performance guarantee, or a different creator with documented commercial terms and audience composition.
A worked campaign example
Worked angle for a campaign aimed at a B2B HR technology company's thought-leadership webinar on AI adoption in People functions, subject to confirming terms and rights.
Working title: From tool rollout to process redesign — where AI actually pays off in People functions.
Format: a 45-minute live webinar plus 15 minutes of Q&A, with one featured speaker.
Open with the argument that winning organizations use AI to amplify their best people rather than cut headcount.
Run of show.
Segment one, the audit: attendees bring one broken workflow, and the session walks through the four-step order — audit the process, redesign for efficiency, implement AI against specific problems, then measure time saved, quality and employee sentiment.
Segment two, four use cases, one slide each, from the post on returns: talent acquisition and mobility, where screening looks at skills rather than pedigree and surfaces internal candidates faster; onboarding and employee experience, where new hires get immediate answers; performance and engagement intelligence, where AI spots patterns in engagement and attrition risk; and learning and growth, where development paths follow role, skills and aspiration instead of generic programs.
Segment three, a prompt clinic grouped by the four functions named in the prompt-guide post — strategic planning and insights, talent acquisition and onboarding, employee engagement and communications, and learning and development — paired with the data-safety rule on employee data, confidential financials and proprietary material.
Segment four, governance: why AI governance is becoming corporate governance, with the litigation example attributed on screen to their account of the ruling rather than presented as independently verified fact, and a short look at what leaders must decide before automating anything.
Assets to produce: a one-page process audit checklist built from the four steps, so attendees leave with a diagnostic they can run on Monday; a prompt pack covering the four functions, with the data-safety note attached; and a short follow-up summary the host can reuse as a campaign handoff.
The angle builds on an existing structure rather than introducing a new argument, uses a teaching format they already use with People teams, and includes a risk segment many AI-adoption speakers skip. Present existing claims of half the time on strategy drafting, 70 percent less screening time and three times faster L&D content as their stated figures, not verified results.
Before promotion, get the referenced prompt guide and confirm whether it can be shared or adapted; it was not among the posts here, so its prompts have not been inspected.
Confirm whether the July 2026 book timing still holds if the webinar is positioned around the AI Discernment framework.
Agree commercial terms and disclosure directly; their posts do not specify them.
The follower count is modest and audience composition unverified, so assume the host carries most of the registration load and ask for follower demographics or past webinar numbers before setting a target.
Carlson is the better choice when the webinar focuses on how a company builds or scales a talent-acquisition function.
Read more
Their posts argue that hiring slows down when roles, decision rights and processes are unclear—not because people are not working hard; that the strongest talent-acquisition teams plan workforce demand instead of filling requisitions; that metrics should drive decisions and demonstrate results to leaders; that hiring managers are the biggest variable in recruiting success; and that recruiting directly drives revenue.
They argue it should be measured by the revenue at risk when a role stays open, not only by requisition count, time-to-fill and cost-per-hire.
A session on turning talent acquisition into a growth engine, or building a recruiting function that holds up through a growth spurt, draws directly on that material and would need little new argument from the speaker.
Carlson's posts do not address AI adoption: no tool rollout, prompt practice, data-safety or governance discussion, or coverage of automated screening and its bias risks.
Choosing Carlson means changing the webinar topic, not just the featured speaker.
Cloutier offers an existing four-step AI implementation order and a prompt set grouped by People function; Carlson instead makes the case for recruiting structure and business impact.
Ask for commercial terms, rates and audience composition.
Volkova is the better choice if the webinar shifts from AI rollout inside People teams to the candidate's side of hiring.
Read more
One post argues that applicant tracking systems such as Workday, Greenhouse and iCIMS are built around recruiters' workflows, not candidates'.
It describes the weeks of silence applicants experience after submitting and points to Upwork as an example of showing people how many applied, how many were shortlisted and how many were messaged.
The other post is a recruitment notice for a Head of Growth at Referrio, a platform built to let anyone refer talent for open roles and get rewarded.
A webinar on candidate experience, referral hiring or transparency in the hiring funnel draws on a clearer point of view here than Cloutier's process-and-AI framing.
Cloutier's posts do not address an AI adoption program for People functions: no productivity figures, prompt library, governance or data-safety rules, or material on measuring time saved or employee sentiment.
The referral post is a hiring call rather than a teaching post, leaving a single argument about candidate communication as the usable talk material.
Post dates are 27 August 2026 and 2 June 2025.
Ask for commercial terms and audience composition.
Trieu fits a webinar about hiring under macro pressure rather than AI adoption inside People functions.
Read more
One post considers what United States hiring would look like if a conflict involving the US, Israel and Iran lasted six months or longer: employers become more selective rather than smaller; hiring splits between roles that protect revenue and speculative headcount; approvals and compensation reviews tighten; candidates prioritize stability over prestige; and layoffs and urgent hiring happen at the same time.
The other post covers resumeless hiring, where work samples, portfolios and assessments replace résumés as AI-generated applications flood recruiters, and weighs the pros and cons, including scalability strain and unpaid-time burden on candidates.
A session on skills-first hiring or on how leadership teams should hire through uncertainty plays to that material.
Neither post addresses rolling out AI tools in People functions, redesigning a workflow before automating it or the governance question Cloutier's hiring post raises.
The material is more analytical than operational: it describes shifts in markets and hiring practices rather than offering the step-by-step implementation an HR technology audience usually expects from a thought-leadership session.
Post dates are 6 and 9 March 2026.
Ask for commercial terms and audience composition.
Jorunn Cloutier has four LinkedIn posts: three substantive posts on AI adoption in People functions, a Claude prompt guide for HR leaders, and AI hiring bias and governance, plus an older post welcoming a colleague to the Cin7 People and Culture team.
The posts carry no explicit publication dates.
The activity URLs place the Cin7 post before the 2026 material, and Jorunn Cloutier's LinkedIn profile lists a follower count of 2,436 observed 9 October 2026.
Two items referenced in the posts are not included here — the prompt guide itself, which one post offers by asking readers to comment, and a book referenced as scheduled for July 2026 — so descriptions of both are based on the posts alone.
No articles, video transcripts, media kit, rate card, or booking terms are published in the posts here.
Claims about results such as faster strategy drafting, reduced screening time, and faster learning content are presented as the figures the posts state, not as independently verified outcomes, and the litigation detail in the hiring post comes from the post's own account rather than court records.