From programmer to industry leader, as one of Australia’s only Chief Information Officers in technology, Andrea Walsh has shattered the glass ceiling. And she’s championing other women, while she’s at it.
So, is she a game changer? Let’s find out. I’m Sarah Harris. Welcome to Game Changers.
Sarah: Andrea, welcome to Game Changers, now you are one of Australia’s only female CIOs of a technology company. You must see yourself as a bit of a role model?
Andrea: I never thought I was, but having been in the role now for number of years I look around and I do think where are all the other women, where are all the females.
Sarah: And, where are they?
Andrea: There is just a real shortage of women in I.T and technology, which is a real shame.
Sarah: So, tell us a little bit about Isentia and what it actually does.
Andrea: So, Isentia is a media monitoring company. And basically what that means is we take information and news from across varying countries, about 18 countries, multiple languages, and we filter that and disseminate it to what is important to our clients and what are the leading issues that they need to focus on. An average day, there’s about 7 million news items that we’re processing.
Sarah: That is a big job, lots of information to get through. So, what does your role as CIO involve?
Andrea: So, I lead the technology team. We are responsible for all the systems and the technology that processes those 7 million items a day. And we also provide all the services for our clients and tools for them to be able to do their job each day.
Sarah: Why do you think there’s a lack of women in IT roles?
Andrea: I think through education. I don’t think that girls are encouraged to take up sciences and engineering when they’re younger. It’s very much seen as, ‘it’s for the boys’. I think it starts really early on. And then I also think women don’t put themselves forward necessarily for opportunities, and roles to re-train. And maybe say, I might be interested but unless I’m absolutely sure I not going to give it a go.
Sarah: You are quoted as saying, “we’re on the cusp of a technological revolution”. What are you most excited about?
Andrea: There is so much. I think that’s what’s exciting. I think with cloud technology, it’s enabled a lot of organisations to be able to experiment with technologies. And things like artificial intelligence, so looking at machine learning. And I think that will really shape future roles and jobs.
Sarah: You really passionate, which I love, about women moving up in the industry. In particular, girls learning how to code. For someone who is not as technologically advanced as you, perhaps, explain to me what coding actually is.
Andrea: It’s basically creating something using computer and technology. Sometimes, yes, it has to be, or can be, detailed lines of programming. But some of the tools that are available, especially to young children who are interested in coding, enables kids to build stories, cartoons and make videos.
Sarah: The number of girls studying, as you said before, STEM, which is science, technology, engineering and mathematics, it is slowly increasing. Which is brilliant. But it’s not at a rate of ‘the boys’ just yet.
Andrea: No. Certainly not. And I think that it is great that it is slowly increasing. But it’s got a considerable way to go.
Sarah: Well, how do we change that?
Andrea: I think again, it goes back to the education. It’s encouraging girls and young children to get involved in these subjects. And I also think that they have maybe a brand, or an image, issue with engineering and IT often see as ‘it’s for the boys’. I think it’s also about the parents and the carers. So often we teach our children when they come home about doing their homework, reading, writing, maths. But what about the children who want to learn technology, and they want to learn to code? And if the parents aren’t IT, how do they support them. So I think it’s really about, as I say, the education, but then also then about the parents and finding these great programs that are out there to give the kids opportunity.
Sarah: Your daughter is eight and she’s already taken an interest.
Andrea: When I first showed her the iPad, she just took it instantly. It was quite amazing to experience. We certainly encourage here to use it. There’s s o many educational programs for children that you can use on the iPad. So I’m a big advocate of it.
Sarah: It does bring up that other thing as well, because I have a little boy who’s 18 months, and he’s very savvy when it comes to technology. You know, he’s coming up to the television and trying to swipe it like an Ipad. But I do kind of worry that (you know) we’re introducing technology to these kids too early, because there’s been research that show that it’s actually changing the chemistry of the brain. When should we be introducing this sort of stuff to our kids? Because as a parent you sort of think to yourself, I don’t want my kids to have their head in technology all the time. But at the same time, you don’t want to hold them back, because that’s the future.
Andrea: I think its each individual parent’s choice. For our daughter’s, Charlotte, we introduced it quite early on, so it was before kindergarten. But we’re very strict with her, both from what she can do on there and so content she can see. And also how long she spends on there, because the last thing we want is to build a relationship and the communication is with the back of an Ipad all of the time.
Sarah: IT is a well-paying field, but there id still a gender pay gap when it comes to technology, isn’t there?
Andrea: Where I work at Isentia, we pay the market rate and we pay on skills regardless of gender. But it is a known issue within many industries and with many organisations and that’s something we need to address.
Sarah: What advice you want to give to women that you mentor?
Andrea: I would say, seek every opportunity. Just go for it – what can you lose at the end of the day? I think work with other areas of the business as well; get to know the business and the industry in which you work. Do things that are potentially outside your remit so you can learn and grow from them.
Sarah: You are a trailblazer and a Game Changer. Thank you for joining us today.
Loren is an experienced marketing professional who translates data and insights using Isentia solutions into trends and research, bringing clients closer to the benefits of audience intelligence. Loren thrives on introducing the groundbreaking ways in which data and insights can help a brand or organisation, enabling them to exceed their strategic objectives and goals.
This is not a list of what to do to be more successful. Or a list about the highly successful morning habits of CEOs and CIOs.
Instead, it’s a call-out to others who read the titles of articles like these on a Monday and sometimes feel exhausted by the amount of additional ‘work’ that is actually recommended to be more productive or successful.
This is, however, a question as to whether our push for productively has blurred into so many areas of life that we’ve forgotten why we strive to be increasingly efficient in the first place. Are we now too focused on volume, rather than value?
For example, in the last week alone we’ve seen the launch of a five-minute workout video series, been served an ad for an app which gives you the world’s best nonfiction books in bite-sized formats and scrolled past a ‘mindfulness in microseconds’ Instagram post.
While squeezing more into everyday life is a common challenge (and arguably a goal) for many professionals, it does present an interesting behavioural shift where we start to use smart technology to speed up activities that perhaps we shouldn’t.
Working in the always-on media Industry, we work with some of the most pressed-for-time people on a daily basis.
These communications and marketing professionals are dealing with huge amounts of fragmented media across channels that sometimes need urgent attenuation or action, particularly in times of crisis. However, this is where our technology thrives – it puts in the hard yards for them. Crunching huge volumes of data, providing the tools to report, alert, shred and more, and helping to give back time that should be spent on the more important strategic tasks, away from a computer.
From a professional standpoint this could mean more time for pitching ideas, benchmarking results against business strategy or presenting to the board. This is where value is achieved – with time spent on activities that need extra thinking space and deserve focus. From a personal standpoint, this may mean taking time back to pick up the kids from school, getting to yoga or simply enjoying a cup of tea in silence.
It’s not a case about fitting more into the day, but about filling your day with more valuable activities. Smart technology holds so much power in helping us spend less time on task-based needs like emails, to-do lists and life admin to free up the time for (hopefully) more than a ‘mindfulness in microseconds’ quick fix.
Remember, effort is not the same as impact.
"
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Blog
The push to be ‘on’ by 6am
This is not a list of what to do to be more successful. Or a list about the highly successful morning habits of CEOs and CIOs.
What can you learn from 750,000 social media posts in China each day? Sean Smith of Isentia explores how technology is disrupting market research.
No Facebook. No Twitter. No YouTube. With stifling regulations around social media use, how can New Zealand businesses’ use social media to enter Chinese markets?
The basic premise remains the same – the way in which Chinese consumers engage with social media platforms is not dissimilar to here, nor is their decision-making journey. Needless to say, understanding the landscape is paramount for any company aspiring to capitalise on the booming Chinese economy. It’s certainly an opportunity worth pursuing – this year China’s GDP is estimated to exceed US $12.1 trillion (NZ $16.44 trillion).
An obvious difference from the outset is the sheer volume of online conversations that happen within China’s firewalls.
This is not surprising given the 740 million-odd internet users, and is exacerbated by the fact that social media is a much larger phenomenon in Chinese culture than it is here in New Zealand.
In today’s digital world, this level of activity offers businesses unprecedented access to millions of organic conversations unfolding in the alluring Chinese market – in real time. The million-dollar question is, how can this information be used to help businesses make important decisions about when to launch a product in the market and drive sales?
Givenchy and Mr Bags
A great example of the power of social media in China is the partnership between Givenchy and blogger Tao Liang, better known as Mr Bags.
He uses his encyclopaedic fashion knowledge to retain over 2.7 million Weibo readers and a further 600,000 WeChat followers; keen to be ‘in the know’ on the latest handbag trends and the current “it” bag.
In an act of extreme commercial nous, in 2017 Mr Bags called for his followers to nominate a potential collaborator for the blogger. When Givenchy emerged as the overwhelming favourite, the brand took the opportunity to launch a limited-edition handbag on Valentine’s Day via Mr Bags’ social channels. What followed the announcement was a 12-minute frenzy seeing Givenchy part with 1.2 million RMB’s (NZ$247,000) worth of handbags – a complete sell-out. Needless to say, the campaign was deemed a success.
Listen to many, speak to a few
By now it’s no secret that social media isn’t just a broadcast platform. In fact, true to the proverb “we have two ears and one mouth, so we should listen more than we say”, there’s far greater power in using social media to understand a potential customer’s motivations.
In today’s world, social media provides market research on an unprecedented scale.
Once upon a time, businesses invested heavily in market research groups to understand consumer insight.
Test groups were enticed with gift vouchers or free products to partake in a fishbowl-style exercise, where they were asked to provide honest and open feedback as eager marketers and communicators looked on.
Despite questions being developed using the latest, tested methodology and astute moderators, the quality and authenticity of the data was often in question.
Let me be clear – this has less to do with the methodology and more a reflection that as consumers, we find it much easier to speak the whole truth when we think we’re not being watched.
With such a high level of human involvement, it is also incredibly difficult to collect data consistently and without bias.
Technology: the market research disruptor
Why might technology make consumers more honest and open with their feedback? The truth is people are more honest in a casual setting. Therefore, dialogue about a product or service that’s exchanged in the comfort of someone’s home (behind a screen) will often be more candid than their responses to a survey.
At Isentia, Mediaportal’s cloud-based technology trawls video, audio and digital content across more than 4,400 print items, 1750 broadcast items, 62,500 online news sites, 6 million blogs and 300,000 forums. Processing seven million news items each day a rate of 234 stories per second, it presents summaries to clients in real-time.
For China enthusiasts, the technology mines over 750,000 WeChat and Weibo posts daily and uses this information to unearth the Mr Bags’ opportunities – the people or issues relevant to specific industries – so that businesses can make informed decisions based on both data and sentiment in foreign markets.
What’s more, the nature of social media means the survey technically never ends. Social media listening provides continued real-time pulse checking and the perfect new product incubator. It’s more than watching @mentions and comments pour in via your social profiles, mobile apps or blogs.
“If you’re only paying attention to notifications, you’re missing a huge group of people that are talking about you, your brand and your product.”
The true value is in tracking conversations around specific topics, keywords, phrases, brands or industries, and leveraging these insights to discover opportunities or create content for those audience.
Data – a modern marketing and communications must-have
It is now hard to imagine a marketing and communications industry that doesn’t rely on data to inform strategy, new product development and campaigns.
Much of what took place in marketing and communications teams, even as recently as a decade or so back, was based on assumption. We *think* that this product would be of interest to this audience, so we *figured* the best way to tell them about it would be mostly via a TV ad campaign.
“But data is now essential for any smart and savvy marketer or communicator and presents the opportunity to tap into foreign markets with a level of insight that has never been more accurate or accessible.”
When you combine and embrace the use of technology, social media, and analyse the data that it provides – you can not only quickly test and learn new products, but also give the fans what they want.
Givenchy were clever and reaped the rewards of listening, embracing and reacting to their consumers’ want, making it big in China. Now it is your time to get onboard and reap the results.
"
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Blog
Listen to many, speak to a few
No Facebook. No Twitter. No YouTube. With stifling regulations around social media use, how can New Zealand businesses’ use social media to enter Chinese markets?
AI has become a powerful stakeholder in its own right — from being just another ‘technological advancement’ to an active contributor to modern-day communications, that’s massively changed the media landscape today.
Isentia hosted an essential conversation with Lisa Main (Director, Main Bureau), Dr Nici Sweaney (Founder and Director, AI Her Way), Prashant Saxena (Isentia’s VP of Revenue and Insights, SEA), and Ngaire Crawford (Isentia’s Director of Insights, ANZ). Together, they explored how AI reshapes the world of communications and corporate affairs all the while figuring out how to manage and strategically engage with it.
In this session, we covered:
Understanding AI’s behaviour and influence as a digital stakeholder.
Navigating the unique challenges and opportunities AI presents as a new "audience."
The long-term impact of AI and LLMs on the industries central to modern communicators.
Following the webinar, our panellists took the time to answer the most insightful questions from our attendees that we couldn't get to during the live session. Here are their expert perspectives.
Ethical governance and human-centric adoption: perspectives from Dr Nici Sweaney
As the Founder and Director of AI Her Way, Dr Nici Sweaney advocates for a strategic approach to AI that prioritises human intent over technical capability. The questions directed to her focused on the ethical foundations of AI, how organisations should structure their internal AI strategy, and practical ways to start using agents today.
Q: Could you please shed a little light on what ethical AI in your language means?
Ethical AI, to me, is about two things working together: avoiding harm and actively doing good. It’s not just “don’t break anything” — but genuinely asking, does this create value for the business, for the people using it, and for the broader world? Transparency, equity, and accountability are the pillars. Transparency means being honest with your audience and colleagues about when AI is involved. Equity means asking who this helps and who it leaves behind, as AI scales existing biases. Finally, accountability means humans stay in the loop. AI should inform decisions, not make them. When the "why" is clear — like saving a team time to focus on strategy — you are using AI with integrity.
Q: Should AI adoption be owned by IT or Internal Communications? I see staff intranets being overtaken by AI and this has implications for how employees are communicated with.
My answer is probably not what IT wants to hear. AI is part of your infrastructure, so IT must be involved for security and guardrails. However, the strategy behind adoption is fundamentally a human problem, not a technical one. I advocate for a cross-functional "coalition" that brings IT, HR, communications, and strategy to the same table. If you create a dedicated AI leadership role, that person should sit closer to human-centric functions like HR and communications. The hardest part of adoption isn’t the technology; it’s the people, the culture, and the narrative you build around it internally.
Q: What are the most effective ways to address colleagues' concerns about using AI agents in the workplace — particularly around trust, accuracy, and job security?
First, acknowledge that the fear is real; it is a biological response to an unprecedented rate of change. Trust is built through honesty. Pretending AI won’t displace roles destroys trust, so be honest about how the landscape is shifting. What actually moves people is showing, not telling. Show them how AI can solve their specific "pain points" — the tedious, joyless tasks that don't add value. When people see AI as an "empowered choice" that uplifts their work rather than replacing their judgment and strategic thinking, buy-in follows. Build confidence with small wins first.
Q: What are some simple AI agents that you would recommend communications professionals experiment with setting up?
Most professionals don’t need complex autonomous agents yet; they need custom bots and automated workflows. The magic is in understanding your process first. Some practical starting points include:
Daily Briefings: A task that pulls from your calendar, email, and news to deliver a summary each morning.
Meeting Prep: Automated notes that pull context and past correspondence before a meeting, and transcription tools that turn recordings into action items afterwards.
Content Repurposing: A custom bot trained on your "voice" that can turn one talk or newsletter into 15+ social media assets and blog snippets.
Q: Our team members are using AI daily, but I know this is not safe as data is transferred back and forth. Should we create rules and ask people to sign IP protection?
Answer: Your instinct is right. If your team uses free consumer tools, your data may be used to train future models. You should move to enterprise-grade tools like Claude for Teams, Microsoft Copilot, or ChatGPT Enterprise, which offer contractual data protections. You should also build an AI Usage Policy that defines which data is public, internal, or restricted, and map AI rules to those classes. In Australia, we recommend aligning with the EU AI Act — the most comprehensive framework available — to future-proof your organisation.
Synthetic authenticity and the new media ecosystem: Perspectives from Prashant Saxena
Prashant Saxena, Isentia’s VP of Revenue and Insights for SEA, approaches AI through the lens of psychological bonding and media structural shifts. His insights address the changing role of media and the technical ways we must now communicate to satisfy AI as a new audience.
Q: Given that trust in media is dropping and media themselves are using AI more, what is the role or value media can have now?
Media's value is shifting from being the "trusted narrator" for humans to being the "training signal" for AI. When AI models generate answers, they weight authoritative media sources much more heavily than random web content. Even as human trust erodes, media’s structural influence on AI-generated information is growing. For communicators, "earned media" now serves two audiences simultaneously: the humans who read it and the machines that learn from it. Publications with strong editorial standards become more valuable because AI systems use domain authority and editorial signals as quality proxies.
Q: How does AI rank or prioritise its sources and how do you see this shaping the earned media strategy for brands?
AI models don't "rank" sources like Google does. They weight information based on source authority, recency, consistency, and structured data quality. If five credible outlets report the same fact, that fact becomes a "high-confidence training signal." This means volume across credible sources matters more than a single "big hit." For your strategy, consistency of messaging across all placements is vital because AI looks for corroboration. Factual, entity-rich statements will be picked up more reliably than narrative-heavy feature writing.
Q: With the question of trust — where does the psychology come into it when AI uses a cute nickname or 'remembers' your day? Is it harder to remain dispassionate?
This is the core of my PhD research. It is what I call "synthetic authenticity." AI systems deploy cues like warmth and memory that we evolved to interpret as human. These trigger "parasocial bonding" — the same mechanism that makes you trust a friend’s recommendation. The danger is that cognitive awareness (knowing it’s AI) doesn't override the emotional feeling. We need a new kind of literacy that teaches people to recognise when their "trust response" is being activated by design rather than by a genuine relationship.
Q: Should we be changing the format of communications to cater for AI as an audience, such as media releases in Q&A format?
Yes. This is a very practical move. AI models extract information more reliably from structured formats. A Q&A format gives the AI clear question-answer pairs that map to how people query systems. You should also focus on "AI-readable claims" — entity-rich, factual statements. Instead of saying "We are committed to sustainability," say "Our Singapore operations reduced carbon emissions by 34% between 2023 and 2025." The second version is a verifiable fact an AI can actually use and cite.
Q: PR professionals traditionally monitor media coverage through agencies like Isentia to gauge sentiment. With AI as a stakeholder, how do we monitor 'its sentiment'?
This is the new frontier. Traditional monitoring tracks what humans publish; AI sentiment monitoring tracks what AI systems say about your brand when asked. Since there is no single "AI sentiment" (ChatGPT, Grok, and Claude all give different answers based on their training), you need to monitor across platforms. We are developing capabilities to systematically query these platforms to see how their narratives change over time and identify which source materials are driving those answers.
Q: Regarding ethics and agendas in AI learning — what are the differences between models like ChatGPT and Grok, and how does this affect our brand narrative?
Every model reflects the values, training data choices, and alignment decisions of its creators. ChatGPT (OpenAI) tends towards cautious, balanced responses with strong content guardrails. Conversely, Grok (xAI) was explicitly designed to be less filtered, sometimes surfacing perspectives that other models suppress. Claude (Anthropic) prioritises honesty and nuance. For communicators, this means your brand's narrative varies by platform; you must monitor across multiple models because the same question about your brand will receive materially different answers depending on which tool is used.
Q: With many major news organisations blocking AI crawlers, how should we navigate content creation to ensure we still influence AI-generated answers?
Major publishers like the New York Times and Reuters have blocked AI crawlers, creating a gap in training data. When authoritative journalism is unavailable, AI models may fill that gap with lower-quality content or brand-owned content. For communicators, this means your "owned content" — such as your website, blog, and structured data — carries proportionally more weight in AI-generated answers. Your media targeting strategy now needs to account for which outlets are AI-accessible, as they will be disproportionately influential in shaping your narrative.
Analytical interrogation and the search for authority: Perspectives from Ngaire Crawford
Ngaire Crawford, Isentia’s Director of Insights for ANZ, emphasises the role of the analyst. Her approach is characterised by a "rhythm of interrogation," arguing that the most effective way to use AI is through constant questioning and a focus on high-authority inputs.
Q: Is AI already part of your daily work or habit? If so, how are you using it and what are your best practices?
I was initially very sceptical, but it is now part of my every day. I use models like Claude and Gemini to workshop conference outlines, plan education programmes, update code, and structure strategic thinking. My best practice advice is to develop a "rhythm of interrogation." Don't just accept the first answer; ask for evidence and challenge the output. While AI saves time on technical tasks like coding, for strategic work it simply shifts the "mental load." You spend the same amount of time, but the depth and quality are significantly improved because you aren't starting from a blank page.
Q. PR professionals traditionally monitor media coverage through agencies like Isentia to guage what stakeholders think about a brand. How do we monitor 'AI sentiment' and the information that feeds these models?
It's important to know that models are optimised to give the most useful answer, not necessarily the most accurate one. They are pattern-completing, not fact-checking. Because model responses are not fixed and change based on the conversation, I suggest focusing on the "controllable inputs" that feed them. This includes your own website, company material, Wikipedia data, and review sites (including employee reviews). Ensuring these bases are telling the intended story is the absolute best starting point for managing AI "sentiment."
Q: How does AI prioritise its sources and how does this shape earned media strategy?
There is no "PageRank" to reverse-engineer here. Models are shaped by what was prominent and widely cited in their training data. Practically, this means a shift from volume to authority. A hundred pieces of low-quality coverage do less work than ten pieces in genuinely credible outlets (major mastheads, industry publications, or your own well-structured site). The question for the modern communicator isn't "did we get coverage?", it's "does the coverage that exists, taken as a whole, tell a coherent and credible story?" AI reads the whole picture, not just the highlights reel.
Q: Now that OpenAI is opening up advertising, how much will it cost for a sentiment boost?
Honestly? We don’t know yet. The commercial layer of AI is being figured out in real time. The moment someone wonders if they are getting the "best" answer or a "sponsored" one, trust erodes. However, we still click Google ads, so it will likely happen. What's important is that organisations that "earned" their reputation through authoritative presence before the ad market caught up will be in a much stronger position than those trying to buy a shortcut later.
The path forward for the modern communicator
The insights from our panellists make one thing clear: AI is no longer a tool of the future; it is a stakeholder of the present. To lead with credibility in this new era, communicators must pivot from chasing volume to building authority. Whether it is through adopting a rigorous ethical framework, optimising content for AI readability, or maintaining a "rhythm of interrogation" with the tools we use, the goal remains the same: ensuring our brand narratives are coherent, credible, and human-led.
The tools have finally caught up to the ambitions of our industry. Now, it is up to us to provide the architect's blueprint for how they are used.
Interested in viewing the whole recording? Watch our webinar here.
Alternatively, contact our team to learn more insights into meaningful measurement, KPIs and communicating using the right dataset.
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Answering your questions from the AI as a stakeholder webinar
In this blog, panelists from our recent webinar on “AI as a stakeholder” get to answering all your burning questions.
The media landscape is accelerating. In an era where influence is ephemeral and every angle demands instant comprehension, PR and communications professionals require more than generic technology—they need intelligence engineered for their specific challenges.
Isentia is proud to introduce Lumina, a groundbreaking suite of intelligent AI tools. Lumina has been trained from the ground up on the complex workflows and realities of modern communications and public affairs. It is explicitly designed to shift professionals from passive media monitoring back into the role of strategic leaders and pacesetters.
“The PR, Comms and Public Affairs sectors have been experimenting with AI, but most tools have not been built with their real challenges in mind.” said Joanna Arnold, CEO of Pulsar Group.
“Lumina is different; it is the first intelligence suite designed around how narratives actually form today, combining human credibility signals with machine-level analysis. It helps teams understand how stories evolve, filter out noise and respond with context and confidence to crises and opportunities.”
Setting a new standard for PR intelligence
Lumina is centered on empowering, not replacing, the human element of communications strategy. This suite is purpose-built to help PR, Comms, and Public Affairs professionals significantly improve productivity, enhance message clarity, and facilitate early risk detection.
Lumina enables communicators to:
Understand & Interpret: Move beyond basic alerts to strategically map the trajectory and spread of narrative evolution.
Focus & Personalise: Achieve the clarity necessary to execute strategic action before critical moments pass.
We are launching the Lumina suite by making our first module immediately available: Stories & Perspectives.
In the current fragmented, multi-channel media environment, communications professionals need to be able to instantly perceive not just how a story is growing, but also how it is being perceived across different stakeholder groups.
Stories & Perspectives organizes raw media mentions into clustered, cohesive Stories, and the Perspectives that exist within each, reflecting distinct media, audience, and public affairs angles. This unique functionality allows users to:
Rise above the noise: Instantly identify which high-level topics are gaining momentum or fading from attention.
Get to the detail, fast: Uncover the influential voices, niche communities, and specific channels actively shaping the narrative.
Catch the pivot point: Precisely identify the moment a story shifts—from a strategic opportunity to a reputation risk—or when a new key opinion former begins guiding the conversation.
"Media isn’t a stream of mentions," said Kyle Lindsay, Head of Product at Pulsar Group. "But rather a living system of stories shaped by competing perspectives. When you can see those structures clearly, you gain the ability to understand issues as they form, anticipate how they’ll evolve, and act with precision. That’s what we mean when we talk about AI built for communicators, and that's what an off-the-shelf LLM can't give you."
The Lumina Roadmap: AI tools for the future of comms
The launch of Stories & Perspectives is the first release of many. Over the upcoming months, we will systematically roll out the full Lumina roadmap, introducing a comprehensive set of AI tools engineered to handle every phase of the communications lifecycle.
The full Lumina suite will soon incorporate:
Curated media summaries: AI-driven daily summaries customized specifically to the priorities of senior leadership, highlighting only the most relevant stories.
Reputation analysis: Advanced measurement tracking how critical themes like ethics, innovation, and leadership are statistically shaping corporate perception.
Press release & media relations assistant: Tools designed to accelerate content creation and craft hyper-focused, personalized pitches that reach the precise contacts faster.
Predictive intelligence layer: Technology engineered to track and anticipate story momentum and strategic change before the window of opportunity closes.
Intelligent agents: Background agents continuously scanning all media channels for emerging key spokespeople and previously undetected reputation risks.
Enhanced audio, broadcast & crisis detection: Complete, real-time oversight of all channels—including audio and broadcast—enabling rapid context building and optimal crisis response delivery.
Want to harness the power of Lumina AI for your PR, Comms, or Public Affairs team? .
Complete the form below to register your interest.
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Blog
Announcing Lumina: The purpose-built AI suite for PR, Comms, and Public Affairs
An intelligent suite of AI tools trained on the language, workflows, and realities of modern public relations and communications.
