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From managers to agents: Intelligence on tap is transforming leadership

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By Chaitra Vedullapalli

What if intelligence was no longer something you hired, but something you accessed—like electricity, water, cloud storage or bandwidth?

Take a moment to sink in.

After listening to Sam Altman’s TED Talk on the democratisation of intelligence, Jensen Huang on Rebuilding Industrial Power and Satya Nadella’s keynote at Microsoft Build, it became crystal clear to me: we’ve entered a new era of workforce design—one powered not just by people, but by intelligence on tap.

Intelligence on Tap.

Like electricity.

Like cloud storage.

Like bandwidth.

Expertise becomes a utility—not something you hire, but something you access.

When you combine that idea with AI agents capable of planning, reasoning, and taking action, the ripple effects are seismic. For people. For organisations. For society.

And this reshapes everything we thought we knew about careers, teams, and leadership.

Rethinking the Organisation Itself

For decades, intelligence was a scarce resource—limited by human time, cost, and capacity. But that constraint is vanishing.

With AI agents that can reason, plan, and execute, intelligence is no longer confined to employees. It’s becoming scalable, on-demand, and ambient—a capacity you access, not employ.

So if your people can build the intelligence they need, why are you still organising around job titles and departments?

Drawing on global insights from 31,000 workers, LinkedIn data, and trillions of Microsoft 365 signals—alongside real conversations with startups, economists, and researchers—Microsoft sketches out a new model: the Frontier Firm.

These are agile organisations that:

  • Move faster
  • Scale smarter
  • Organise by outcome, not hierarchy

Frontier Firms are already taking shape, and within the next 2–5 years we expect that every organisation will be on their journey to becoming one.

82 per cent of leaders say this is a pivotal year to rethink key aspects of strategy and operations, and 81 per cent  say they expect agents to be moderately or extensively integrated into their company’s AI strategy in the next 12–18 months.

Adoption is accelerating: 24 per cent  of leaders say their companies have already deployed AI organisation-wide, while just 12 per cent  remain in pilot mode.

They’re structured not around job titles—but around Work Charts: fluid, task-focused teams that form around what needs to be done.

You don’t build teams—you orchestrate them.

And who manages this new blend of human and machine workforces?

Not HR as we know it. But a new function: Intelligence Resources—a fusion of HR and IT.

A team responsible for staffing hybrid teams, managing the human-agent ratio, and ensuring performance, oversight, and trust.

Why Managers Are Ahead of the Curve

As Colette Stallbaumer, GM of Microsoft 365 Copilot and Co-Founder of WorkLab, put it:

“Leaders recognise they can’t afford to sit on the sidelines.”

Managers are leading the AI shift because:

  • They’re the first expected to deliver ROI on AI
  • They already know how to delegate, coach, and course-correct
  • They’re used to managing performance—now they just manage both people and machines

In short: we don’t need to reinvent management—we need to redirect it.

From Coworkers to Agent Bosses

The individual is at the center of this transformation.

We’re not just learning to use AI—we’re learning to manage it. To delegate. To refine. To override when needed. To lead a team of digital workers—agents who work for us.

The new archetype of this era: The Agent Boss.

Not the solo expert. Not the traditional manager. But the one who scales their impact through a crew of AI teammates.

You delegate. You optimise. You ship outcomes.

The career ladder? It’s been replaced with a launchpad.

A junior employee managing 10 intelligent agents can now deliver senior-level results.

What used to take years of experience now takes systems intelligence—and the curiosity to learn how to build your first agent.

“Now everyone can be an agent boss,” says Stallbaumer. “Think of your work like you’re the CEO of your own startup.”

What It Takes to Be an Agent Boss

Becoming an Agent Boss isn’t just about knowing how AI works. It’s about mastering how to lead with AI.

It requires a framework to delegate tasks effectively. It requires oversight to ensure quality. It requires regular reviews to tune performance.

It requires ethical reflection to act with caution. It requires evaluation to measure impact.

After experimenting with this strategy in our own team, we identified three weekly metrics that ensure we adapt with precision, caution, and excitement:

Adoption Rate: How many agents and workflows are now powered by agents? and how many tools are we using?

Outcome Quality: Are the results generated by agents meeting or exceeding expectations?

Team Sentiment: Are people feeling empowered or overwhelmed?

Mastering these rhythms transforms chaos into clarity—and helps every professional scale their expertise with confidence.

This is the new literacy. The new fluency. The new foundation.

So, What Agent Boss Skills I Believe We Need To Master:

Prompt Engineering & Contextual Framing: Craft prompts that enable reasoning and memory. Train agents to understand context, tone, and objectives.

Workflow Automation: Identify repetitive or rules-based tasks and deploy AI to streamline them.

Agent Delegation: Learn how to assign work to multiple agents and manage inter-agent coordination.

Human-Agent Oversight: Know when to review, refine, or override outputs. Maintain governance and ethics.

System Integration: Connect AI agents to your existing cloud tools, CRMs, calendars, and databases.

Performance Evaluation: Track KPIs for AI agents. Learn how to tune and retrain them for improved outcomes.

Ethical and Secure Use of AI: Understand data privacy, model bias, and safe usage protocols.

Team Orchestration: Manage blended teams of people and agents to deliver coordinated value.

Business Case Development: Build a compelling use case for why a human+agent team accelerates growth.

First Agent Launch: From idea to implementation: go live with your first working AI agent workforce

Why This Moment Matters

This isn’t theory. It’s here. Most of us are still using the old language of work:

  • Measuring output by job description, not impact
  • Designing teams for predictability, not adaptability
  • Waiting for permission to experiment when the risk is now inaction

But the map has changed.

Intelligence is no longer what you hire. It’s what you deploy.

It’s time to ask:

  • What kind of org do you want to work for—or build?
  • What kind of manager are you when your team includes agents?
  • What kind of career are you building when success means scaling your mind, not just your hours?

Take a breath. Let it land.

Intelligence is now on tap. And those who know how to turn it on—will lead.

Join Women in Cloud ecosystem to be part of the transformation. Don’t leave behind.

Find out more about Women in Cloud at womenincloud.com

News

The technology exists: Why are women still waiting?

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By Jane Lewis, chief operating officer, chief financial officer and women’s health lead, ABHI

For years, the conversation around women’s health has rightly focused on recognition.

Recognition that women wait longer for diagnosis. Recognition that symptoms are too often dismissed or normalised. Recognition that healthcare systems have historically been designed around male biology, leaving gaps in research, evidence and care.

That recognition matters. But awareness alone will not improve outcomes.

The challenge facing women’s health today is no longer simply identifying the problem. It is acting on the solutions already available.

At ABHI’s Women’s Health Summit earlier this year, leaders from across healthcare, government, academia and industry came together to discuss the future of women’s health.

One message emerged repeatedly throughout the day: we do not have an innovation problem.

Across medical devices, diagnostics, digital health and genomics, there are already technologies capable of transforming outcomes for women.

From self-sampling approaches for cervical screening and non-invasive diagnostics to AI-enabled tools and advanced imaging, innovation is happening. The question is whether healthcare systems can adopt it quickly enough.

Too often, promising technologies become trapped in pilot programmes, fragmented procurement processes or lengthy implementation pathways. Evidence generation, commissioning and adoption are frequently treated as separate challenges rather than part of a single journey.

The consequence is that innovations capable of improving quality of life and reducing pressure on health services take years to reach the women who could benefit from them.

This matters because women’s health extends far beyond reproductive health.

Historically, many discussions have centred on fertility, pregnancy and gynaecological conditions. These remain critically important, but they represent only part of the picture.

Women experience cardiovascular disease differently to men. They are disproportionately affected by autoimmune conditions. They face distinct health challenges throughout their lives, from adolescence to healthy ageing.

                            Jane Lewis

Yet healthcare systems often continue to approach these issues in isolation.

A woman does not experience her health in separate compartments. Pregnancy, cardiovascular risk, menopause, mental health and musculoskeletal conditions are interconnected.

Healthcare systems need to reflect that reality through more integrated, life-course approaches to care.

There has never been a better opportunity to do so.

Across the NHS, the shift towards prevention, community-based care and digital transformation aligns closely with the needs of women’s health.

Women’s Health Hubs are already demonstrating the benefits of bringing services together around the needs of women rather than organisational boundaries. Digital technologies are helping to identify risk earlier and support more personalised care.

Innovation can help deliver all three of the NHS’s major transformation ambitions: moving from treatment to prevention, from hospital to community, and from analogue to digital care.

But innovation alone is not enough.

Closing the women’s health gap also requires us to address longstanding gaps in research and evidence.

Women remain underrepresented in many areas of clinical research, and sex-disaggregated analysis is not always applied consistently. The result is that clinical pathways and treatment decisions are often based on evidence that does not fully reflect female physiology.

Better data, stronger research participation and greater focus on female-specific and female-predominant conditions will be essential.

There is also a compelling economic case for action.

Women’s health is often framed as an equality issue, and equality remains central. But poor health affects workforce participation, productivity and economic growth.

Improving outcomes for women benefits not only patients, but employers, healthcare systems and wider society.

Yet despite this, women’s health innovation continues to attract only a fraction of the investment directed towards other areas of healthcare.

That is beginning to change.

Across the UK and internationally, momentum is building. Governments, investors, researchers and innovators increasingly recognise that women’s health is both a societal necessity and an economic opportunity.

The conversation has moved on significantly in recent years. Topics that were once overlooked are now firmly on the policy agenda.

The next challenge is ensuring that awareness translates into action.

The technologies exist. The evidence is growing. The policy direction is increasingly clear.

ABHI is increasingly taking this agenda beyond national boundaries. Through our engagement with international industry associations, policymakers and healthcare leaders, we are working to ensure that women’s health is recognised as both a health and economic priority.

We are helping to shape discussions on innovation, regulation, investment and adoption, while sharing lessons from the UK with partners around the world.

Whether addressing the gender health gap, improving access to diagnostics or accelerating the uptake of new technologies, international collaboration will be essential.

The challenge now is not recognising the need for change, but delivering it.

Women have waited long enough for acknowledgement of the problem. They should not have to wait any longer for the benefits of the solutions that already exist.

ABHI is the UK’s leading industry association for HealthTech. Its members, ranging from multinationals to small and medium-sized enterprises (SMEs), develop and supply technologies spanning everything from syringes and wound dressings to surgical robots, diagnostics, and digitally enabled healthcare solutions. ABHI’s 400 member companies represent approximately 80% of the UK HealthTech sector by value.

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Women with PMOS should have annual NHS checks, new guidance says

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Women with PMOS should receive annual NHS checks to spot related health risks sooner, according to new draft guidance.

Polyendocrine metabolic ovarian syndrome (PMOS) is a complex condition that can have wide-ranging effects across the body.

It affects around one in eight women and was formerly known as polycystic ovary syndrome. It was renamed in May to better reflect its broader effects.

Draft guidance from the National Institute for Health and Care Excellence (NICE) calls for quicker diagnosis and better monitoring.

Marie Anne Ledingham, consultant clinical adviser for women’s and reproductive health at NICE, described the recommendation for a “simple” annual review as an “important step”.

She said: “This new guideline will help improve consistency of care, increase awareness of the condition, and support earlier diagnosis and management.”

PMOS is a major cause of female infertility. Symptoms can include irregular or absent periods, difficulty becoming pregnant, excessive facial or body hair, weight gain, hair loss, oily skin and acne.

An estimated three million to four million women have the condition in the UK, but NICE says it remains underdiagnosed and inconsistently managed.

The proposed annual reviews would cover current symptoms and longer-term health risks linked to the condition, including diabetes and heart disease.

NICE says lifestyle changes and treatment could help prevent more serious illness.

There is no cure for PMOS, but NHS treatments can help manage its symptoms. These include hormone support and fertility drugs.

The draft guideline does not recommend laser or light therapies for hair reduction because of the cost.

Many women report difficulty understanding the possible cause of their symptoms or experience delays before receiving a diagnosis.

When doctors suspect PMOS, they may use blood tests to assess hormone levels and ultrasound scans to look for the multiple follicles often seen on the ovaries of those affected. Follicles are small, fluid-filled sacs in which eggs develop.

The draft guideline sets out when healthcare professionals should suspect the condition and how women should be assessed and diagnosed.

It also says PMOS should not be ruled out in women who have been through the menopause.

The condition is thought to be more common among black, Asian and mixed-ethnicity women. NICE says healthcare professionals should consider this when assessing symptoms.

PMOS can also have a significant effect on mental health and quality of life, with depression and anxiety described as common among women with the condition.

Women planning a pregnancy should receive advice on weight, diet, nutrition, exercise, sleep and mental health, according to the guidance.

The draft guideline is open for consultation from 1 July to 11 August 2026, with feedback invited from healthcare professionals, patients and the public.

The final guideline is expected to be published in December 2026.

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Insight

The danger of ‘efficiency culture’ in women’s mental tech

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By Somayeh McKian, a member of the clinical advisory board of Vea, the AI-powered mental health journal app

The danger of efficiency culture in women’s mental tech is that we are inadvertently optimizing the very patterns that drive our collective burnout.

When we look at the explosive growth of the femtech sector, the dominant narrative remains focused on speed, tracking, and passive compliance.

We build apps that treat a woman’s emotional state like a broken supply chain or a medical deficit that needs to be optimised, streamlined, or forced into submission.

But true psychological resilience cannot be quantified by a simple mood slider or an algorithmic checkmark.

As a psychotherapist and gender studies scholar, my research into the lived experiences of women, particularly how cultural mandates and bodily surveillance are pathologised, reveals a deep-seated form of suffering.

When women constantly say “yes” while meaning “no,” or ignore a chronically depleted body to maintain a rigid role, they are living out what I call an “inkless life.”

It is a blank manuscript in which their physical and emotional existence has been entirely authored by external critics, medical charts, and the “Discourse of the Other.”

They aren’t suffering from an efficiency problem; they have been stripped of the agency to author their own skin.

If femtech platforms simply digitise these rigid, externalised “shoulds,” they risk becoming high-tech tools of compliance rather than portals of liberation.

The investment community and health tech innovators need to realise that the next frontier of mental health tech isn’t about managing symptoms on the fly; it is about existential archaeology.

We must build digital spaces that serve as a “corporeal pen,” transforming self-reflection from a passive hobby into a defiant, existential act.

True innovation lies in helping women find the meaning, the latent metaphors, and the unique tasks already written into their struggles and transforming inherited pain into a human achievement.

This is exactly the structural paradigm shift we are anchoring at Véa. Instead of building superficial tracking logs, our architecture treats life as a manuscript.

We design clinical narrative journeys that help women decode where their internal boundary scripts were written, recognize how somatic depletion is a truth-teller, and wield phrases like “stop it” not as external policing, but as internal, defiant boundaries.

If we want to build a sustainable ecosystem for women’s health, we must stop funding platforms that merely help women endure their exhaustion more efficiently.

In the intersection of meaningful life and technology, we look at the human spirit not by its current restrictions but by its latent potential for change.

It is time to back technologies that give the fluent soul a sharp new set of instruments to rewrite its own narrative.

Somayeh McKian is a certified psychotherapist, in-training logotherapist, gender studies scholar, published author and part of Véa’s clinical advisory board.

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