Enterprise Thought Leadership

As technology disruption accelerates, the Enterprise Thought Leadership Podcast shares insights from business and technology leaders at the forefront of enterprise transformation. Covering a range of industries, we interview C-level leaders of solution providers driving innovation across the enterprise landscape and executives navigating the people, process and technology changes to ensure their organisations and supply chains remain competitive and future-proof. Subscribe today and equip yourself with the knowledge and strategies to thrive in an era of constant change!

Enterprise Thought Leadership is a technology podcast hosted by TechPros.io, with 82 episodes on record and a Required Pod Score of 80.

TechPros.io hosts Enterprise Thought Leadership, a technology show with 82 episodes published.

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  Enterprise Thought Leadership

  Ep.94 | Building a castle on sand: Modern's Adrianne Haynes-Samuel on why marketing attribution keeps breaking

  Aug 27, 202643 min

  Consolidating the MarTech stack was supposed to produce one clear reporting picture. It did not. Adrianne Haynes-Samuel, digital and technology principal at Modern, argues the tooling is rarely the problem. The data model underneath it is. It goes out of date as service offerings change and CRM fields get edited. Taryn Breetzke speaks with Adrianne about Halo IQ, the product she heads up. It sits on top of an existing stack, normalises CRM data and maps every interaction on an account. She explains why around half of CMOs distrust the attribution model they already have. The second half turns to the dark funnel. When buyers research inside AI platforms first, first touch stops being measurable. Adrianne argues for measuring AI references instead. Four takeaways Attribution assumes consistent data. Change a CRM field and the two year view breaks. Governance comes before tooling. Frameworks produce the attribution model, not the reverse. Lead counts do not answer what boards actually want to discuss. Most AI projects are automation projects. The foundational problems sit underneath. Timestamps 00:01:45 What led to building Halo IQ 00:02:20 Why plugging tools together made reporting worse 00:03:30 Data redundancy and reporting across an 18 to 24 month journey 00:04:30 Orchestration on top of the stack instead of ripping things out 00:05:50 Mapping the full account journey to defend marketing budget 00:06:45 The gumball machine problem 00:08:30 Fishbone mapping by hand and why it had to be automated 00:11:50 Proving marketing impact at board level 00:12:50 Why CMOs do not trust their own data 00:13:50 Linking spend across long campaign cycles to ROI 00:17:30 Moving the board conversation from leads to growth 00:18:50 Boards reining in marketing and MarTech spend 00:19:50 Foundational process focus rising from 11% to 31% 00:20:50 Holding tech suppliers to KPIs rather than treating them as vendors 00:22:00 Governance frameworks for selecting tech 00:23:50 Sales and marketing sharing attribution instead of claiming credit 00:25:00 Where AI helps and where it is really an automation problem 00:27:40 Freeing up 20% of a day for thinking 00:29:20 The GEO shift and the dark funnel 00:30:20 Measuring AI references instead of first touch 00:32:40 Review platforms and how AI compares you to competitors 00:34:40 Employee and industry influencers as a channel 00:38:20 The one belief B2B marketing leaders should let go of 00:40:30 Where to find Modern and Halo IQ Notable quotes "It's really difficult to build a castle on sand if you're not sure what's gonna be happening." Adrianne Haynes-Samuel "Attribution assumes a fundamental, which is that you're working on consistent data." Adrianne Haynes-Samuel "It's not the tech, and it's not attribution that's the North Star." Adrianne Haynes-Samuel Stats and references Around 50% of CMOs do not trust the attribution model they have in place. (Adrianne Haynes-Samuel) CMOs naming foundational process work as a core focus: around 11% to around 31%. (Adrianne Haynes-Samuel) Automating menial tasks can return around 20% of a day for thinking. (Adrianne Haynes-Samuel) Ten accounts mapped by hand could take one person a month. (Adrianne Haynes-Samuel) Connect Adrianne Haynes-Samuel: https://www.linkedin.com/in/adriannehaynessamuel/ Modern and Halo IQ: https://modernb2b.co Taryn Breetzke: https://www.linkedin.com/in/tarynbreetzke/ TechPros.io : https://www.linkedin.com/company/techpros-io Follow us on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

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  Enterprise Thought Leadership

  Eps.93 | The system speaks first: Personio's Amir Jirbandey on context, agents and the future of HR tech

  Jun 30, 202644 min

  For decades, business software sat still and waited for you to come to it. You pulled the report, built the pivot table, went looking for the number. That's beginning to flip. The system speaks first. Tim Bond interviews Amir Jirbandey, who leads international marketing at Personio, about what that shift means and where it leads. The conversation moves from a simple proactive nudge ("your team hasn't taken time off in two months") to the harder truth Amir keeps returning to: context, not the model, is the bottleneck. The richest conversations live on WhatsApp and never reach the system. They get into Personio's internal AI drive, a month-long programme and hackathon that produced around 400 agents, the 5,000-plus Gong calls loaded into Snowflake and fed into Claude, the account-targeting model that lifted accepted-pipeline odds from the low thirties to around seventy per cent in some territories, and why AI fluency now shapes who Personio hires. They close on performance management, the big-brother tension, and what leaders should do next. ABOUT THE GUEST Amir leads international marketing at Personio, covering European territories outside DACH. He has spent around 15 years in B2B tech, predominantly in venture-backed startups through expansion, including Mailjet, Paddle and Treatwell, and was the first commercial hire at AI-voice startup Papercup, acquired in 2025. A computer science graduate, he describes himself as a generalist who puts the pieces of the puzzle together. Personio is an all-in-one HR platform for people and HR leaders, founded around ten years ago in Munich. It serves the mid-market, typically organisations of 100 to 2,000 employees. The platform was rebuilt from the ground up alongside a rebrand last year. TIMESTAMPS [00:00] Cold open: the missing piece in AI for marketing is contextual awareness, not the model[00:02] The startup journey: Mailjet, Paddle, Treatwell and Papercup[00:05] Different pressures: VC-backed startups vs PE-backed and public companies[00:09] AI as a tool: handing teams back 20 to 40% of menial work, the AI-dubbing analogy[00:12] Why context awareness is the real unlock[00:13] Claude Enterprise at Personio: context-aware chats, a personal "CMO" sparring agent, MCP connectors[00:16] The data problem: stale information and the conversations trapped on WhatsApp[00:19] Garbage in, garbage out: why the right data is paramount[00:22] Three differentiators: a ground-up rebuild, deep reporting customisation, and a fast-growing HR function[00:25] The HR tech AI story: reactive and proactive insights[00:28] Performance management: still human-led, deliberately not handed to AI[00:29] The bigger question, and the big-brother tension[00:34] 5,000+ Gong calls into Snowflake, married to cleaned data[00:35] Account propensity rising from around 30 to 35% up to around 70% accepted pipeline in some territories[00:38] The internal AI drive: month-long programme, hackathon, around 400 agents[00:42] AI fluency as a hiring bar KEY QUOTES AI is a tool that's going to enable you to do 20, 30, 40% of the more menial work that you do... so that way you can focus your kind of craft on the top end of the spectrum. — Amir Jirbandey The component that's missing right now to be able to do that using AI is the contextual awareness. — Amir Jirbandey Did you know that your team hasn't taken any time off for the last two months? Here is a nudge to do it. — Amir Jirbandey Garbage in, garbage out... having the right data is paramount to be able to get the right insights. — Amir Jirbandey If our base layer of our books of business we had 30, 35% chance of turning that to accepted pipeline... in certain territories and certain books of business, that went up to 70%. — Amir Jirbandey CONNECT Amir Jirbandey - https://www.linkedin.com/in/ajirbandey/ Personio - https://www.linkedin.com/company/personio Tim Bond - https://www.linkedin.com/in/tngbond/ TechPros.io - https://www.linkedin.com/company/techpros-io

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  Enterprise Thought Leadership

  Eps.92 | Seconds to find, months to fix: RS2 CEO Radi El Haj on Mythos and the AI Security Gap

  Jun 11, 202639 min

  Right now, Anthropic's most powerful model Mythos Preview is the talk of the enterprise. 200 select organisations have been given access under Project Glasswing, Anthropic's restricted-access programme for vetted critical infrastructure and cybersecurity organisations. Anthropic reported that 50 partners had already used Mythos Preview to find more than 10,000 high or critical severity vulnerabilities. Tim Bond interviews Radi El Haj, CEO of RS2 a global payment technology company with 35 years of market experience to explore what Mythos-level AI means for a bank's technology stack. The conversation moves quickly from the technical threat to the harder truth: technology change is driven by people change, and the real battle is organisational. They discuss the commercial implications of procrastination, the extraordinary market power Anthropic holds right now (and how a post-IPO world may tighten that grip further), and why European banks currently cannot access Mythos directly. They finish on the build vs buy conversation happening in every boardroom, and what CIOs and CTOs need to be thinking, doing and saying before 2028. About the guest Radi El Haj is CEO and principal shareholder of RS2 PLC a global payment technology company operating a single unified platform for card issuing and acquiring. Cloud-native since 2016. Active across Europe, Latin America, Asia Pacific and North America. Regulated in Germany under BaFin. RS2 has been in the market for 35 years across three business lines: licensing, outsourcing, and regulated financial services. Timestamps [00:00] Introduction: accelerating AI capability and the security challenge it poses for financial services [00:05] The problem statement: Mythos identifies vulnerabilities in legacy banking systems in seconds. Mitigation takes weeks or months. That gap is the crisis. [00:07] Why legacy banking is especially exposed: COBOL code built since 1987, fragmented systems, the same customer held in different identity records across the same institution [00:09] Who has access to Mythos Preview: US institutions given priority; European banks currently excluded and accessing through third-party consultancies with Anthropic relationships [00:12] Scale of change needed in the next 12 months: risk decisioning, AML and compliance monitoring, merchant intelligence. Proof of concept becomes production. AI infrastructure becomes a board-level concern. [00:15] People and process: why organisational structure and ownership clarity determine whether banks survive this or not. [00:19] Build vs buy vs outsource: what banks must own and what they should never build themselves [00:21] Orchestration explained: not a product. An architectural posture. How to modernise a tier-one bank without ever telling them to rip and replace. [00:29] AI at RS2: used across the business, with one deliberate exception: the core source code. Plus the integration case study: 8 FTEs over six months became one developer in three days. [00:35] What CIOs and boards need to do now: audit your data, build your orchestration blueprint, demand a risk register with named owners. And any AI-driven decision must have a human as the final authority. Key quotes "We are talking about a human being fighting against AI." -Radi El Haj "You cannot own what you are not willing to maintain. Ownership without investment becomes a liability." - Radi El Haj "Orchestration is not a product. It is an architectural posture to adopt." -Radi El Haj "Before 2028, institutions can choose. After 2028, they will have no choice. They will be forced to implement what they are mandated to do." - Radi El Haj "On a board level, you need to demand a risk register with named owners, timelines and financial exposures, not a slide deck." - Radi El Haj Connect Radi El Haj https://www.linkedin.com/in/radie/ RS2 https://www.linkedin.com/company/rs2plc/ Tim Bond linkedin.com/in/timbond TechPros.io https://www.linkedin.com/company/techpros-io

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  Episode #91

  Eps.91 | The zero-click era: how generative AI is rewriting B2B discovery, with Bex Howie

  May 13, 202635 min

  By the time a B2B buyer lands on your site, the shortlist is already drawn up. Generative engine optimisation, or GEO, is changing how B2B buyers find and evaluate vendors, often before they ever visit a website. AI engines are quietly deciding which brands they feel safe recommending, and most enterprise marketing teams have no real visibility into where they stand. In this episode, Taryn Breetzke sits down with Bex Howie, Strategy Director at Gilroy, the agency behind LumusIQ. Bex unpacks why the GEO market jumped to measurement before anyone understood the mechanism, what AI is actually looking for when it builds a shortlist, and why most enterprise content is making brands less visible rather than more. Four takeaways Confidence, not ranking, decides AI shortlists. That confidence comes from third-party signals and consistent external mentions, not just your website. Volume metrics are giving way to influence metrics. Traffic is down and engagement is up. The visitors who do click through are more qualified because the research now happens inside LLMs. AI rewards new thinking. Generative engines favour original opinions, fresh data and SME-backed analysis. Opposing expert views strengthen visibility. Personal brand is back. LinkedIn algorithm changes and citation-led discovery now push employee-led commentary above corporate posts. Timestamps 02:45 Why LumusIQ exists 05:21 How AI builds its shortlist of brands 06:17 The zero-click reality check 07:41 SEO and GEO as a budget stack 10:18 Inside the LumusIQ audit 14:13 Trust signals and why AI rewards original thinking 18:25 From audit to activation 21:18 Measuring influence, not traffic 23:12 Common enterprise GEO mistakes 31:50 On-site LLMs and the rise of the "content librarian" Notable quotes "We're entering a zero-click era and it's changing the role of the website and search as we know it." Bex Howie. "I don't see this as a split. I see it as a stack." Bex Howie. "AI loves to learn something new." Bex Howie. "It's less about ranking and more about confidence. AI is effectively building a shortlist of brands it feels safe recommending." Bex Howie. The LumusIQ audit Bex walks through the five-point GEO audit and how each is scored. Generative AI referrals. Are you being cited in responses across ChatGPT, Claude, Gemini and Perplexity? Technical crawlability and rendering. Can generative systems access, interpret and index your content? Search and content health. Are you discoverable for category-level, non-branded, high-intent queries? Accessibility and metadata. Is your site structured for clarity, speed and summarisation? Third-party signals and authority. Do you provide the trust signals AI engines rely on to recommend you? Stats and references Around 30 million American adults claim to have used AI for search, projected to rise to roughly 90 million by 2027 (Bex Howie) . LumusIQ by Gilroy. Audit and activation programme that improves how brands show up in AI-led discovery. Visit LumusIQ to apply for a GEO audit or try the on-site content librarian: https://www.gilroy.co.uk/lumus-iq Resources and links Connect with Bex Howie on LinkedIn Connect with Taryn Breetzke on LinkedIn Email: rebecca.howie@gilroy.co.uk Do you have burning topics you'd like us to explore on the podcast? Email us at podcasts@techpros.io Follow us on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/ TechPros runs research-led thought leadership programmes that surface original thinking from senior B2B leaders. Visit techpros.io to join over 4,000 professionals who have participated in challenge forum roundtables, interviews and industry reports. To sponsor a programme get in touch with Taryn Breetzke

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  Episode #90

  Eps.90 | From $6M to $100M and still disrupting: Josh Gould's entrepreneurial playbook

  Apr 21, 202647 min

  Why can AI reach only 86% accuracy in hospitals and courtrooms, yet language services remain a £6 million to £100 million opportunity? Joshua Gould, founder and CEO of The Big Word, reveals why language is fundamentally a technology problem that requires scaling human expertise, not replacing it. As the language services industry prepares to double by 2032, Gould explains the real disruption: automating your own business before the market forces you to. He discusses how government bodies are outpacing the private sector in adopting language technology, and why the biggest opportunities lie at the intersection of human quality and technological scale. Guest bio Joshua Gould is founder and CEO of The Big Word, a multilingual communication technology platform connecting 15,000 linguists across government, healthcare, and legal sectors in the US, UK, and Europe. He scaled the company from £6 million to over £100 million in revenue before securing private equity investment. Gould is recognised for his unconventional leadership approach and focus on building technology infrastructure at the edges of human communication. Key discussion points 00:02:00 Building The Big Word - the 'get rich slow' philosophy 00:05:00 Processing volume through technology and people 00:07:00 The pivot to government work after the Great Recession 00:10:00 Being a tech company versus a government contractor 00:13:00 How video, audio and AI reshape service delivery 00:17:00 Digital-first workflows and hospital system integration 00:20:00 Virtual interpreting and on-demand video services 00:23:00 Scale at the edges - courts, police and asylum services 00:25:00 Why only 1% of online content is human-translated 00:28:00 The accuracy ceiling - why voice-to-voice interpretation is harder 00:31:00 The 86% accuracy limit in critical settings 00:33:00 Tuning AI for specific use cases and brand differentiation 00:40:00 The Blockbuster moment - disruption in business 00:43:00 Disrupting your own business before someone else does 00:46:00 How unit prices fall but total revenue grows Resources and links Connect with Joshua Gould on LinkedIn Connect with Tim Bond on LinkedIn Visit thebigword Email Joshua josh.gould@thebigword.com Learn more about TechPros.io Upcoming events and roundtables – https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn – https://www.linkedin.com/company/enterprise-thought-leadership/ Want to teach your team to build their own AI agents? Get your free AI Opportunity Report ( https://cogniscale.com/ai-acceleration-report ). This quick survey and consultation maps priority workflows, time saved and ROI from an AI upskilling programme for organisations with teams of six or more. Use promo code PODCAST. Follow and rate the podcast on Spotify or Apple Podcasts. Got a burning topic or question? Email podcasts@techpros.io Find out more about TechPros.io: https://techpros.io/ Upcoming events and roundtables: https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/ Calls to action Enjoyed the discussion? Subscribe to the Enterprise Thought Leadership podcast on Spotify or Apple Podcasts to never miss an episode. Rate and review the show to help other business leaders discover the podcast. Join our growing community of business professionals on LinkedIn and share this episode with your network. Do you have burning topics or questions you'd like us to explore? Email our team at podcasts@techpros.io .

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