No more guesswork: how an AI sales playbook drives predictable revenue growth. Static sales playbooks collect digital dust while manual processes drag down team productivity. Learn how AI sales playbooks capture top-performer behaviors and automate routine tasks to cut ramp time. The static playbook is dead: why B2B SaaS sales leaders can't afford to wait. The problem: static playbooks stunt revenue growth. Every growth-stage SaaS company hits the same wall. MEF see sales leaders pour hours into building playbooks that, at best, collect digital dust in a shared drive. Reps skim steps on objection handling or persona mapping, then default to tribal knowledge. Pipeline reviews become a parade of excuses. This isn't just a minor annoyance. According to McKinsey, companies relying on manual sales processes miss out on 10-20% in potential sales ROI improvements, compared to those automating core workflows. Manual friction is like dragging a refrigerator up stairs when an easier solution exists. The evidence: AI sales playbooks outperform tradition. AI sales playbooks don't just digitize documents. They turn every customer interaction and CRM update into fuel for a dynamic go-to-market engine. According to Copy.ai, these systems automate routine tasks (like lead enrichment, email drafting, CRM updates), recommend optimal next steps, and refine playbook content based on buyer signals and team performance. Modern sales tools now analyze thousands of data points, from call transcripts to engagement timing and persona signals, creating personalized outreach at scale. Every prospect receives the tailored attention typically reserved for major accounts. Research from Aniline AI shows companies using these platforms have increased sales productivity by 300-500%. These AI playbooks integrate smoothly with existing sales software and CRM systems, connecting revenue operations automation to front-line execution. SalesPower reports that AI-driven coaching and real-time guidance improve performance without overwhelming manager capacity. The story: $18M SaaS company cuts ramp time in half. MEF worked with an $18M ARR SaaS company in the martech space. Their sales onboarding resembled a chaotic scavenger hunt: 15 PDFs, 60 hours of shadowing, and an outdated playbook. New reps needed four months to hit quota, while attrition reached 28% annually. After implementing an AI sales playbook integrated with Highspot and Salesforce, MEF captured the successful patterns of their top performers. The system analyzed call notes, tracked email engagement, and guided next actions for each prospect. Reps received contextual prompts instead of static lists. The results proved remarkable: Ramp time decreased from 120 days to 58. First-year rep quota attainment rose from 43% to 72%. Attrition fell to 14%, saving $420,000 yearly in hiring and productivity costs. Their CRO noted: "Our onboarding stopped feeling like a marathon in a snowstorm. Now, new reps walk in and know exactly what to do, every single day." The fix: stop guessing - make your playbooks work as hard as your top sellers. Maintaining static playbooks limits your sales team's potential. Growth-stage leaders need dynamic playbooks that evolve with every interaction, objection, and success. Here's how to make the transition: * Audit top-performer behaviors. Document what successful reps actually do, including emails, calls, timing, and talk tracks. Use AI tools to analyze and standardize these practices. * Integrate with your CRM and GTM stack. Select tools that work directly within platforms like Salesforce or Highspot. Contextual guidance proves more effective than email attachments. * Automate routine tasks. Remove research, manual CRM updates, and standard emails from your reps' plates. Copy.ai reports companies reduce manual task time by over 50% through automation. * Pilot high-impact workflows. Begin with coaching and onboarding, where AI playbooks show quick results and build support for wider adoption. * Iterate using real data. Monitor performance data monthly and adjust playbooks based on buyer feedback and deal outcomes. A smart AI sales playbook isn't optional; it's essential for modern revenue operations. When MEF want sales to operate efficiently and predictably, it's time to let technology amplify its best practices. ai sales playbook software sales automation roi metrics sales rep onboarding automation b2b sales playbook optimization ai-powered sales coaching Revenue Operations Sales Automation AI in Sales Sales Enablement AI value creation for private equity Scope one high-value operating bottleneck. Bring one recent operating record, the accountable owner, approved data context, and the value the work must create. MEF will Assess, Build, Equip, Improve, and Reuse what works across the portfolio.

Seismic CEO on the Highspot merger: revenue, job cuts, Seattle, AI, and the Salesforce question. by Todd Bishop on Sep 2, 2026 at 8:07 am Highspot's branding is still everywhere inside its longtime headquarters at World Trade Center East, overlooking the Seattle waterfront. But outside the corner office that once belonged to the sales software company's co-founder and CEO, "Seismic" is scribbled on the whiteboard. That's how fresh the merger is. Two weeks after San Diego-based Seismic took over its Seattle-based rival, Seismic CEO Rob Tarkoff is in town this week for the first board meeting since the combination was completed, and the inaugural gathering of the combined company's senior leadership team. Highspot and Seismic sell sales enablement software: systems that manage the pitch decks, case studies and training materials salespeople use, and track which ones help close deals. Founded in 2011 by Robert Wahbe and two former Microsoft colleagues, Highspot raised $650 million and held the top spot on the GeekWire 200, our ranking of the region's privately held tech companies, prior to the merger. Wahbe, its CEO until the deal closed, is now on Seismic's board. Tarkoff, a lawyer by training who spent much of his career in corporate development and M&A, became Seismic's CEO in October 2025, succeeding co-founder Doug Winter. He had previously spent seven years running Oracle's customer experience business. Tarkoff addressed a wide range of questions from GeekWire in an interview Monday afternoon in Wahbe's former office, which now serves as an ad hoc meeting room. Here are the main takeaways from the interview: A $600 million company: Tarkoff disclosed the combined company's annual recurring revenue for the first time, putting it at about $600 million, with about $200 million of that coming from Highspot. That makes the combined business three times the size Highspot was on its own and 50% bigger than Seismic. Tarkoff said the larger size will be an adjustment for people across both companies as they come together. "We're getting closer to being a billion dollar company," he said. The companies did not disclose the financial terms of the deal, and Tarkoff declined to say whether the transaction put Highspot above or below the $3.5 billion valuation it reached in 2022. Tim Porter, managing director at Madrona, which led Highspot's Series A in 2014, called it a "multi-billion-dollar merger" in a post after the deal closed. Porter, who serves as a board observer at Seismic following the combination, wrote that Madrona hopes to help build the combined company into "a truly iconic AI software company, through a potential IPO and beyond." Permira, the private equity firm that has backed Seismic since 2020, remains the controlling shareholder of the combined company. Impact on jobs: Seismic said when the deal closed that Highspot had more than 700 employees and that the combined company would have about 1,700 total. Tarkoff said in a statement at the time that the companies were "carefully evaluating our organizations to identify areas of overlap," and that "any decisions will be communicated directly and proactively to employees." Since then, word of initial job cuts has started to emerge on LinkedIn and other online forums, but the company has not provided specifics or disclosed any numbers. Asked for an update on job reductions this week, Tarkoff said, "We did our best to try to find roles for everybody that we could, but there's always some level of overlap where you don't need two people doing a task that requires one." Tarkoff did not provide numbers or address the question of whether more job cuts are coming. He said the company feels "really good about where we are from a go-forward staff perspective," while adding: "We will continue to push performance and push growth and acceleration." Seismic's future in Seattle: Tarkoff said Seismic will keep Highspot's Seattle offices at World Trade Center East, where the company has a long-term lease. He called Seattle "one of the top centers of excellence for tech talent," citing the ability to recruit from Amazon, Microsoft and others. There will be no designated Seattle site leader, he said, describing the office as one of the company's major centers rather than a headquarters. However, several senior leaders of the combined company are based in Seattle, including Kurt Berglund, who led engineering at Highspot and is now Seismic's senior vice president of AI. Others include chief human resources officer Kimberly Schultz, who joined Seismic in June after 11 years at Amazon, where she led the team responsible for integrating acquisitions and divestitures, and Lucas Welch, VP of brand and communications, who spent nearly eight years at Highspot. Tarkoff said a number of the company's top engineers are based in Seattle as well. Seismic's other major locations include San Diego, Boston, Toronto, Vancouver, B.C., London and Hyderabad, India, where Tarkoff said the company has more than doubled its presence. Gurpreet Singh Pall, who was Highspot India's chief operating officer, now leads Seismic's India operations. Product plans: The current Highspot and Seismic platforms both will continue to be sold and supported for the time being, Tarkoff said. He declined to set a timetable for eventually consolidating them, saying customers will move to a new platform when one is ready. Now that the companies are able to work directly together, he said they've come to see that the two products are closer than he understood before the deal closed. Seismic has focused on complex enterprise workflows and regulated industries, financial services in particular, while Highspot built for a broader market of upper mid-market and lower enterprise customers. With two teams no longer building the same things, he said, engineering can move to new work - more AI agents, additional content governance features, and deeper industry-specific workflows such as archiving and records retention. Rivals are making the opposite case. Ali Akhtar, CEO of Letter AI, wrote in a LinkedIn post last week that mergers in the category turn companies inward for quarters or years, predicting "stalled innovation, layoffs, and distractions from delivering customer value," and a period of reduced support for customers on legacy platforms. Akhtar is offering to buy out their contracts. Pricing: Tarkoff said seat-based subscriptions aren't going away, because enterprises want predictable costs. He said he's skeptical of the usage-based pricing some AI vendors have adopted, pointing to high-profile examples of companies blowing past their budgets. "Token-maxing is not really a good model long term, because it's just going to force enterprises to use less," he said. He said Seismic is working toward pricing tied to outcomes rather than usage. The Salesforce question: A week after the Seismic-Highspot merger closed, Salesforce and Anthropic announced Claudeforce, making Claude the default model across Slack and parts of Salesforce's Agentforce platform. Salesforce is both a channel and a rival for Seismic. Seismic's software sells through the Salesforce AppExchange, and its Aura AI runs inside Agentforce, Salesforce's agent platform. At the same time, Salesforce's Sales Cloud includes its own sales enablement tools. And Agentforce agents increasingly do work that enablement platforms have owned. Asked whether the partnership makes Salesforce a tougher competitor, Tarkoff said no. As sellers start working inside Claude rather than inside individual applications, he said, the assistant will call each company separately - Salesforce for customer records, Seismic for approved content and sales materials. That makes Seismic a peer of Salesforce inside Claude, rather than an add-on inside Salesforce's own product. "It actually puts us more on an even playing field with Salesforce," he said. But Salesforce is considerably further along. Claudeforce launched with a Salesforce plugin carrying 37 prebuilt sales skills, in pilot now and due in open beta this month. Much of the early analysis of the Salesforce-Anthropic partnership saw it as evidence that enterprise AI is consolidating around a few deep platform alliances rather than opening up. Seismic's next fiscal year begins Feb. 1. Tarkoff said he expects to spend much of the intervening months on the road with customers and employees. Seismic plans to give the first detailed look at its new product roadmap at its Shift conference, Oct. 12-15 in Carlsbad, Calif.

Legaltech governance latest: New Akerman head, EU AI Act warning, & BARBRI AI adoption findings. * August 7, 2026 AI governance and competency are firmly in the spotlight this week. Akerman has created a new AI governance leadership role, appointing Michael Adler; the property sector is warning about the impact of EU AI Act transparency requirements; and a new BARBRI report highlights a significant gap in AI readiness, with most law firms still lacking a formal AI competency framework. Akerman creates AI governance leadership role US law firm Akerman has appointed Michael Adler as director of AI governance and data protection within Akerman Intelligence, as well as a partner in its Corporate Practice Group. The newly created role reflects Akerman's view that attention is shifting from AI adoption to AI governance, particularly as organisations begin to deploy increasingly autonomous AI systems. Adler will work with Akerman's leadership team to develop governance and oversight frameworks for AI across the firm while also advising clients on AI governance, data protection, technology transactions and international AI regulation. Akerman chairman and CEO Scott Meyers said the appointment comes as organisations face new questions around governance for agentic AI systems. Adler joins from software company Highspot, where he led global data privacy and AI initiatives, having previously held legal roles at Autodesk and Amazon. While many law firms have focused on deploying generative AI tools, Akerman's move highlights a growing recognition that governance, accountability and risk management are immediate strategic priorities. Property sector warns over EU AI Act transparency requirements Hundreds of thousands of businesses are at risk of misinterpreting Article 50 of the EU AI Act, say VerbaFlo and Homes For Students. Article 50, which came into force on 2 August, establishes transparency requirements for certain AI systems, including those that interact directly with consumers or generate synthetic content. The paper, The EU AI Act, Article 50: What Businesses Need to Know Right Now, examines how the requirements apply across marketing, operations and resident engagement activities. The guidance focuses on three areas: the allocation of responsibility between AI providers and organisations deploying AI systems; transparency obligations related to design choices and AI-generated content; and the need to assess high-risk AI use cases beyond customer-facing applications. Although the paper is aimed at the property sector, many of the issues it raises will resonate with legal organisations grappling with AI regulation. The whitepaper is here: https://www.verbaflo.ai/stories/the-eu-ai-act-article-50-what-businesses-need-to-know-right-now BARBRI report highlights AI adoption gap New research from BARBRI Professional Education suggests that law firms are deploying AI tools faster than they are measuring their impact on lawyer behaviour and business performance. While the research is pitched at the need for L&D and training (BARBRI's sweet spot) it shows that no firm has built the AI competency framework its associate pipeline needs. While this is a training requirement, it's also a governance issue. The report, Driving Change and ROI: Uniting Three Teams to Lead Law Firms into the Future, is based on interviews with 10 leaders across nine firms and examines the relationship between learning and development, knowledge management and innovation teams. Among its findings, the report concludes that firms generally understand who has activated AI tools but have limited visibility into whether those tools are changing the way lawyers work. It also finds that while collaboration between innovation and L&D is improving, it's still fragile, with one L&D director telling researchers: "Either there are too many cooks in the kitchen, or nobody is managing it. It's feast or famine." BARBRI co-chief executive Lucie Allen said firms that succeed over the coming years will need to move beyond technology deployment and focus on frameworks, incentives and measurement.