Latest updates for ANZ sales professionals
A $60k/year enterprise marketing platform could not fix a broken unsubscribe link for 14 days. The customer shipped a working replacement using Claude and Replit in one afternoon. This is why legacy B2B software is losing deals to AI-first tools.
Jason Lemkin's SaaStr is running 20+ AI agents alongside three humans in sales operations, driving YoY revenue from -19% to +47%. The new podcast 'The Agents' breaks down what actually works: daily maintenance, hallucination checks, and why Clay's AI recommended a model 2-5x more expensive than needed.
Salesforce announced Headless 360 this week: entire platform exposed as APIs for AI agents. For B2B teams running AI-powered sales ops, this is not news. It is a description of what is already happening in production.
Australia's $335B sovereign wealth fund is reviewing 10 investment and ops roles after deploying new data systems. Expected savings: $10-15M in FY26/27, or 5-7% of costs. CEO Raphael Arndt says tech investment since COVID is now 'baked in.' This mirrors Bendigo Bank's recent AI-driven cuts and signals broader government sector automation.
Jason Lemkin's SaaStr replaced a 20-person GTM team with AI agents managed by 3 humans, driving revenue from -19% to +47% YoY. Most implementations fail because teams treat AI like set-and-forget software, not sales reps that need daily coaching. Here is what actually breaks.
HubSpot is moving Breeze AI agents to outcome-based pricing from April 14: $0.50 per resolved conversation, $1 per qualified lead. The play follows Sierra's $150M ARR outcome model and Intercom's $100M+ Fin growth. For sales teams, this means paying only when AI actually ships leads or closes tickets, not for attempts.
Jason Lemkin's SaaStr scaled from 20+ employees to 3 humans and 20 AI agents while maintaining revenue. First AI SDR sent 15,000 outbound messages in 100 days at 5 to 7% response rates. One agent closed a $70k sponsorship deal on its own. The math: $500k AI investment returned $1.5m in two months.
Redpoint surveyed 141 CIOs in March 2026. One in four has seriously considered replacing their customer service vendor in the last year. Sales automation sits at 19%, with some enterprises choosing to build their own CRM instead. The money is coming from existing software budgets, not new line items.
Three revenue leaders from Salesforce, Momentum, and Mangomint shared what is actually working with AI in sales. The takeaway: your CRM data is worse than you think, nobody is following up with 40% of leads, and raising quota now would be a mistake.
Jason Lemkin's SaaStr scaled from zero to 25+ AI agents in production, cutting headcount from 20+ to 3 humans while closing $2.4M and building $4.8M pipeline. The reason is not just cost: agents are operationally easier than hiring, onboarding, and managing human teams.
Jason Lemkin's team deployed 20+ AI agents, sent 60,000+ emails, and now sources half their revenue through AI SDRs. The tool matters less than you think: training and ownership drive 80% of results. Here is what actually worked.
The trust objection to AI account executives assumes buyers prefer human relationships. Reality: most B2B deals happen with strangers on Zoom who know 20% of the product. AI AEs answer every question accurately, no quota pressure, no overpromising. SaaStr data shows higher close rates when the AI is well-trained.