When AI Becomes Business as Usual
Last week at London Tech Week, industry leaders gathered at the intersection of innovation and revenue to explore how AI is reshaping business growth. As U.K. Prime Minister Keir Starmer outlined, Britain is poised to be "an AI maker, not an AI taker." With $28B+ in private AI investment and Europe’s lead in funded startups, the U.K. is building a world-class ecosystem for AI innovation.
Regulated industries are adapting fast, too:
- The Financial Conduct Authority launched a secure AI digital sandbox (powered by NayaOne and supercharged by Nvidia) to foster compliant experimentation.
- Barclays Eagle Labs debuted an Innovation Hub to scale deep tech startups.
- Universities are ramping up R&D with advanced AI-native wireless platforms.
Across the enterprise landscape, tech giants are weaving AI deeper into the fabric of everyday operations. From Salesforce’s AgentForce World Tour release updates to HubSpot’s ChatGPT connector announcement, the message was clear: AI is set to become the lifeblood of modern enterprises - circulating through every industry and driving change.
Just as 'digital' has become a given in marketing, AI is set to become an invisible layer embedded in how we will execute, measure, and scale every element of a business's operations. An exited founder and investor remarked to me one event, "Remember when 'digital marketing' simply became synonymous with marketing? That’s exactly where AI is headed".
The Tech Stack Promise Land: Unified, Automated, AI-Powered
For decades go-to-market teams have wrestled with clunky tech stacks - systems that don’t speak to each other, processes bogged down by manual work, and customer experiences that fall short. Well, foundational platforms are welcoming us with open arms to the new era: where apparently CRM and ERP can converge into a single intelligent platform, where data flows seamlessly, and AI augments every step - from lead-to-cash.
We take a more critical view of how many tools and technology providers portray this transformation journey as deceptively easy. In our day-to-day work - mapping processes, identifying friction points, designing solutions, and navigating the complex web of stakeholder needs, it’s clear that real transformation is anything but simple.
For companies wondering how to proceed in this new world, clarity of purpose is essential. If the motivation is simply to ride the "digital workforce" wave out of fear of being left behind, the result could be an expensive detour with little meaningful progress.
Key Platform Announcements
1. Agentforce: Powering the Digital Workforce
Salesforce unveiled a bold vision for the future of work centered on a new generation of AI-powered 'digital workers' designed to automate repetitive tasks, streamline revenue processes, and elevate human productivity to 24/7 year round.
Key Highlights:
- Digital Workforce Enablement: Agentforce introduces intelligent assistants that can independently perform tasks across sales, service, and operations, reducing the burden on human agents.
- Flexible Pricing Engine: A new AI-optimised pricing engine enables companies to deploy attribute-based pricing models, manage dynamic quote structures, and create intelligent discount strategies.
- Composable Architecture: Built on Salesforce’s metadata-driven platform, Agentforce allows businesses to compose digital workflows and scale automation quickly across business units.
- AI-Powered Autonomy: The Revenue Cloud Advanced (RCA) platform promises execution of quote creation, pricing approvals, and billing without manual intervention.
- Trust & Governance: AI actions are embedded with visibility and audit controls, ensuring that trust remains central to automation.
2. HubSpot's ChatGPT Integration: A New Era for CRM
HubSpot became the first CRM platform to integrate directly with ChatGPT. This integration claims to bring AI to the commercial user, not just as a back-end enabler.
⚠️ The insights provided will only be as strong as your CRM hygiene; messy or incomplete data will lead to misleading or shallow results.
Key Use Case by Function
Sales
- Spot new enterprise opportunities: Prompt: “Segment my target companies by annual revenue, industry, and technology stack. Based on that, identify the top opportunities for enterprise expansion.” → Feed the list back into HubSpot for prioritised prospecting.
- Shorten the sales cycle: Prompt: “Compare win rate and average sales-cycle length for deals > $25K this quarter vs. last. Highlight the three slowest stages and recommend one friction-busting tactic per stage.” → Update pipeline guidance and sales playbooks in HubSpot.
Customer Success
- Revive inactive accounts: Prompt: “Identify inactive companies with growth potential and generate targeted plays to re-engage and revive pipeline.” → Action the plays directly from the customer success workspace in HubSpot to boost retention.
Support Teams
- Forecast staffing needs: Prompt: “Analyse seasonal patterns in ticket volume by category to forecast support team staffing needs for the upcoming quarter.” → Activate AI tools like Breeze Customer Agent in HubSpot to handle expected surges.
Both Salesforce and HubSpot are signalling a shift to their customers: CRM partners are helping businesses operationalise AI across every team, workflow, and customer interaction.
As AI moves from experimental pilots to being embedded in foundational platforms like Salesforce and HubSpot, revenue leaders must reassess their go-to-market strategies for the next 12–18 months. The most successful won’t start with tools, they’ll start with a clear-eyed view of the obstacles standing in the way of their 2- and 5-year goals, and a focused plan to remove them. Tools may enable the transformation, but they’re not where it begins.
📈 Want to see how RevOps and commercial teams are successfully leveraging AI across their commercial processes? Let's talk
