Scott Wilson

CEO at Covecta

1 episode · 9 moments · last on 19 Jun 2026

19 Jun 2026Live from Agentforce World Tour London

1:40:2914 min

Scott Wilson: Covecta's agents for financial services

Scott Wilson, co-founder and CEO of Covecta, explains how the company builds agents for banks, building societies, lenders and credit unions across three pillars: lending, accounts and deposits, and compliance. He discusses the education still required with financial clients, FCA-style regulation and deliberately avoiding automated credit decisioning. He also explains their "software is a worker" commercial model — AI costed per employee, outcome-based multi-year contracts with no POCs — and contrasts their domain-deep approach with generalist providers' PS-heavy delivery.

1:54:545 min

Quinton Pienaar on PwC's orchestrated AI operating models

Quinton Pienaar, who leads PwC's Salesforce Alliance for EMEA and its Customer Transformation practice, introduces "orchestrated AI operating models": breaking an organization's Level 4 processes into jobs, tasks, decisions and actions, then scoring each for business value and risk to decide what to automate. He explains the shift from personal-productivity assistants to autonomous agents whose impact CFOs and COOs can finally measure, mentions a board conversation about "agentic go-to-market," and notes UK agentic adoption still lags the US slightly. The segment runs to the end of Part 1 and continues in Part 2.

2:00:209 min

Quinton Pienaar (PwC): UK AI Adoption & Enterprise AI Trends

Quinton Pienaar of PwC continues his segment, saying the UK leads Europe on agentic AI adoption while the Middle East often moves fastest. He recounts a board conversation where a sales-heavy company realized its AI investments were all going into service, and explains why go-to-market use cases like real-time sales coaching lag behind better-metriced service deployments. He lists recurring C-suite concerns — data quality, model churn, cost spirals and fear of losing control — and describes PwC's approach: treat AI as an ecosystem play, democratize it internally, and bind bottom-up experimentation with a top-down North Star.

2:08:5813 min

Roz Maher (Trustpilot): MarTech, Trust & Guardrails

Roz Maher, Head of Marketing Technology at Trustpilot, explains her role operating the marketing stack and how AI has accelerated the pace and expectations of her team's work. She says trust and guardrails sit at the core of every Trustpilot agentic build, and that unified, accessible data is the unlock for personalized marketing. Her advice to startups is to get stuck in, ship an MVP and iterate, and she shares her 2027 ambition to make Slack the single interface for daily dashboards and AI copilot queries across Trustpilot's 1,100-person, globally distributed company.

2:21:5710 min

Joe Inzerillo (Salesforce) on the Fin Acquisition & Agentforce

Joe Inzerillo, President of Enterprise and AI Technology at Salesforce, explains his dual 'customer zero' role running product areas including Slack alongside the office of the CIO. He discusses the just-announced Fin acquisition, contrasting Intercom's polished, SMB-first product and short time-to-value with Agentforce's broader enterprise platform approach, and explains why now was the right time to buy. He says the biggest adoption hurdles are fear and treating agents like set-and-forget software rather than digital labor that needs constant tuning, and warns against trying to agentify an entire human job at once.

2:32:128 min

Joe Inzerillo on Org Redesign & Rapid Innovation Squads

Joe Inzerillo argues that organizational transformation now matters as much as the technology, using an F1 analogy where people are the speed bumps until they're enabled to become part of the track. He describes Salesforce's rapid innovation squads delivering value in four to six weeks, and Slack shipping roadmap features early thanks to small cross-disciplinary teams. He predicts flatter org charts with more autonomous teams, and says every squad deliverable should include an operations agent so agents end up doing roughly 95% of ops work.

2:39:438 min

Franny Hsiao (Salesforce): Circular AI & the Second Brain

Franny Hsiao, who leads Salesforce's EMEA team of AI Architects and has worked in AI for over 25 years, traces the field from the Watson/Deep Blue era to today and introduces her 'circular AI' framework inspired by ecology. She describes a personal 'second brain' that flags stale knowledge and feeds team-wide and federated corporate brains, so new joiners contribute learning from day one rather than after months of onboarding. She also argues Europe leads on digital sovereignty and governance-by-design, with customers embracing green, frugal AI by right-sizing models instead of defaulting to the biggest ones.

2:47:209 min

Franny Hsiao on Frugal AI, Local Models & Human-Centric Design

Franny Hsiao criticizes 'token maxing' as artificial consumption at the climate's expense and champions small, local, open-weight models for tasks like auto-organizing screenshots, plus RAG and batch processing over constant retraining. She predicts a hyper-personalized experience layer where each user works with one chosen agent and the complexity of the wider agent ecosystem is hidden from view. Her core architectural principle for AI-native founders is human-centric design: stalled projects usually fail on psychological safety and resistance to change, not on the technology.

2:55:589 min

Paul O'Sullivan (Salesforce): London AI Centre & Call to Action

Paul O'Sullivan, SVP and CTO for UK & Ireland at Salesforce, leads a 300-engineer solution engineering team and reports strong momentum for the London AI centre: over 8,500 visitors in 18 months, customers with agents live in production, and AI-literacy sessions for school students. He calls London the world's third-biggest AI hub and frames agentic AI as a once-in-a-lifetime shift playing out vertically across systems of context, work and engagement, and horizontally from outreach through lead-to-cash to after-sales. He says winning customers treat it as a way of life rather than a project — building, iterating and retiring agents as an extension of the workforce — and closes the show with a call to action: start small, scale big, and take your people on the journey.