B2B Automation Spotlight

By Software OasisBusiness Technology Marketing Management

B2B Automation Spotlight episodes

February 23Shipping Real AI: Process Mapping to Automation
In this episode, host Michael Bernzweig talks with Zane Frantzen, VP Platform and Operations at SimplyAsk, about why so many AI projects stall out before they deliver business value. Zane shares three common mindsets that sink initiatives, explains how AI amplifies whatever process reality you already have, and stresses the importance of mapping workflows, clarifying owners, and targeting repetitive, high‑volume tasks. He also covers the hidden costs of building custom AI and why human‑in‑the‑loop designs are key for adoption, compliance, and trust.
Key Topics:
The three common mindsets around AI and how they hinder success

Why mapping and cleaning up workflows is essential before AI implementation

The importance of clear ownership and strategic planning in AI projects

How to identify bottlenecks versus slow tasks in business processes

Reframing "human in the loop" as a feature for compliance and adoption, not failure

Practical steps to build a scalable and reliable AI automation pipeline

The role of process mapping exercises to avoid automation pitfalls

Benefits of targeting high-volume, repetitive workflows for quick wins

How organizational culture influences AI project outcomes

The significance of owning and controlling creative assets in marketing with AI
Timestamps:
00:00 - Introduction and episode overview

00:29 - Zane's career journey pre-SimplyAsk

01:22 - Types of organizations benefiting most from AI automation

02:53 - How high-volume processes drive tangible value

04:42 - Organizational size and impact of AI solutions

07:20 - Recognizing patterns in early discovery calls for AI value

08:49 - Common AI mindsets holding teams back

09:17 - Process mapping exercises to identify true bottlenecks

10:36 - Fixing process issues before deploying AI

11:29 - Building AI solutions versus customizing internally

12:44 - Ownership, security, and liability considerations in AI projects

14:37 - The balance between full automation and human oversight

15:55 - Business realities versus marketing promises in AI adoption

16:44 - Practical tips for AI scaling: fix workflows, define ownership, focus on tangible outcomes

17:39 - The importance of small wins for AI trust and expansion

18:18 - Industries and organizations that see the most value from AI

19:50 - Challenges of internal AI projects and fragmented tools

20:40 - Rebuilding holistic processes with AI integration

21:15 - Managing content and campaigns across silos like organic and paid channels

22:09 - Live Q&A setup and audience interaction

42:18 - Framing "human in the loop" as a strategic feature for adoption

45:22 - Guardrails for responsible AI use and maintaining control over messaging
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48 min
February 23Autonomous Sales Agents for Enterprise Revenue Teams
In this episode, host Michael Bernzweig talks with Roi Carmel, CEO and co‑founder of Spotlight AI, about how autonomous agents can fix enterprise sales productivity. Roi explains why reps spend most of their time on documentation, updating systems, and analysis instead of selling, and why quota attainment has barely improved despite a decade of new tools. He shares how Spotlight’s layered sales intelligence model and agents for qualification, discovery, inspection, analytics, value consulting, and content can sit on top of your existing stack, automate hundreds of thousands of tasks, and give leaders more reliable forecasts and win patterns.
Key Topics
The fundamental problems with current sales productivity and why quota attainment has stagnated over the last decade

How Spotlight AI’s layered intelligence model integrates seamlessly into existing workflows to automate activities

The role of specialized agents in qualification, discovery, inspection, analytics, and content generation

The importance of human-AI orchestration in building trust and understanding customer pain points

Metrics: Over 800,000 sales activities automated and $7.5 billion in revenue managed autonomously

Challenges faced during development, including the shift from chatbot models to workflow integration

The future vision: sales teams as orchestrators using AI to handle routine tasks while humans focus on relationship-building

Practical strategies: mapping low-leverage activities and adopting agent-driven automation
Timestamps
00:00 - Introduction to Roy Carmel and Spotlight AI's mission
02:09 - Roy’s entrepreneurial journey across cybersecurity and enterprise software
04:22 - Connecting product value to customer business problems
05:57 - The evolving role of AI in sales and 2026 outlook
06:50 - Building a structured data model before the AI boom
08:03 - Embedding AI into existing workflows, not replacing them
09:27 - The big vision: transforming sales from execution to orchestration
10:47 - AI as a tool for decision-making support, not replacement of human judgment
12:11 - Autonomous driving analogy: AI gradually taking over routine tasks
13:11 - How Spotlight AI frees sales teams to focus on trust and relationships
15:10 - The broken productivity model: stagnation despite tech advances
16:35 - Why quota attainment has not improved and high turnover rates
17:15 - The need for a new approach centered on human strengths and AI support
18:39 - Designing seamless AI integration into existing workflows
22:22 - Real example of agents working across deal stages
23:17 - Specific agents: qualification, research, inspection, discovery, debrief, analytics, value consulting, content creation
25:09 - Adaptive discovery: AI guiding next steps in customer interactions
27:28 - Generating assets and orchestrating activities to reduce sales prep time
28:51 - Metrics: Activities autonomously executed, contacts qualified, assets generated
29:20 - The vision: productivity through evidence-based orchestration
30:10 - Final thoughts: Map low-leverage activities and adopt AI agents for automation
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31 min
February 21AI Prototyping: From Static Screens to Live MVPs
In this episode, host Michael Bernzweig talks with Ricardo Tosatto, CEO at Esfera and COO at Esfera Studio, about how AI is changing product design and prototyping. Ricardo explains why traditional design teams spend 70–80% of their time inside tools like Figma and still end up with static prototypes that don’t reflect real user behavior. He shares how AI‑powered tools can generate working UI, flows, and states so teams can test multiple functional MVPs quickly, get better feedback, and free designers to focus on customer insight, problem‑solving, and strategy.
00:00 – Introducing Ricardo Tosatto and the future of prototyping with AI

00:50 – Ricardo's background and journey into tech and product management

02:30 – The evolution of design tools from Figma to AI-enabled prototypes

04:00 – Why static prototypes can hinder real product validation

06:00 – The role of AI in automating asset creation and speed to market

08:15 – Risks of relying solely on static or non-functional prototypes

10:30 – Bridging the gap between design and development with AI

12:45 – Reimagining the role of designers in an AI-powered landscape

15:00 – How rapid prototyping accelerates user feedback and product-market fit

17:20 – Choosing the right tools and workflows for functional MVPs

19:30 – First steps for startups to implement AI-driven prototyping

21:45 – Common pitfalls in early product development and how to avoid them

23:55 – The importance of testing and iteration cadence in CRO and UX

26:10 – Leveraging AI for HR data unification and employee insights

28:30 – Building trust with leadership through data and quick wins

30:50 – Deciding which growth levers to test first in enterprise settings

33:00 – Adjusting experimentation based on traffic volume and niche markets

35:15 – Practical tips for mid-market companies to unify HR systems

37:40 – The importance of a phased approach for data integration

39:10 – Maintaining a continuous testing and learning culture

41:15 – How to handle low traffic scenarios in experiments

43:20 – Turning trending workforce issues into actionable metrics

45:45 – Balancing statistical rigor with real-world constraints in niche markets

47:30 – Final advice: Focus on problem-solving, not just tool mastery

48:40 – Closing thoughts: The future of prototyping and team roles
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43 min
February 21AI Usage‑Based Billing That Protects Margins
In this episode, host Michael Bernzweig talks with Mitchell Jones, founder and CEO of Lava, about how to monetize AI features without destroying SaaS margins. Mitchell breaks down why AI introduces real variable costs, why seat‑based pricing no longer reflects value when agents can replace dozens of users, and how usage‑based models can better align price with outcomes. You’ll learn how an AI gateway plus billing stack can track per‑request cost in real time, enforce target margins automatically, and let agents both collect and spend funds so AI‑native products can scale profitably.
How traditional SaaS revenue models are breaking due to AI's variable costs

Layering usage-based pricing on top of subscriptions for better margins

Building real-time cost analytics and margin-aware billing with Lava's tools

The role of an AI gateway in routing calls and managing payments effortlessly

Strategies for startups to rapidly implement hybrid pricing models

Connecting AI call routing with revenue collection in a unified stack

Practical steps for organizations to upgrade their payment systems in an AI era

Tactics for multinational companies to support nearshore AI and engineering teams

Maintaining workflow alignment with AI adoption to avoid siloed inefficiencies

Reframing product offerings in response to AI-driven service shifts
Timestamps:
00:00 – Introduction to Lava and AI's impact on SaaS revenue

00:30 – Mitchell’s entrepreneurial journey through COVID and YC

01:56 – Challenges with traditional SaaS models in the AI era

02:25 – The need for new pricing strategies reflecting AI’s variable costs

03:23 – How Lava enables layered usage-based pricing seamlessly

04:13 – Building margin-aware billing with real-time cost analytics

07:17 – Importance of partnerships with developer tools and AI coding agents

08:16 – Mitchell’s background with payments and AI monetization

09:15 – AI introduces variable costs that threaten margins

10:41 – Implementing value-aligned pricing models

11:44 – The $80 billion payments opportunity through AI

12:42 – Lava’s API for multi-model AI access and real-time analytics

13:11 – Charging customers based on actual AI usage with margin controls

14:26 – Routing AI calls and payments in one unified gateway

15:23 – Measuring costs and revenue for profitable AI monetization

16:16 – Overcoming organizational challenges with AI workflows

17:28 – Transitioning from fixed seat-based to hybrid pricing models

19:12 – Building efficient, real-time revenue recognition systems

20:04 – Typical enterprise payments stack and its limitations

21:32 – Simplifying complex billing and revenue recognition with Lava

22:08 – Implementation journey: from call routing to margin setting

23:28 – Q&A: Practical steps for organizations to adopt usage-based models

26:04 – Rethinking AI implementation as a business decision

27:44 – Addressing margin risks with variable LLM costs

30:09 – Reframing hiring and talent strategy for nearshore AI teams

32:23 – Recognizing misaligned workflows beyond tools

35:07 – Revisiting product offerings as AI evolves services

37:48 – Practical steps for shifting to hybrid subscription-plus-usage pricing

40:14 – Cross-department workflow mapping for AI collaboration

42:28 – Managing organizational friction and aligning AI initiatives

43:25 – The Groundhog Day fulcrum: balancing resources and demand

45:16 – Onboarding Latin American remote hires effectively

47:37 – Finding balance between governance and flexibility in enterprise workflows

49:24 – Final thoughts: Measure, adapt, innovate in AI monetization
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45 min
February 16Scaling Enterprise Workflows from Chaos to Clarity
In this episode, host Michael Bernzweig sits down with Michael Toguchi, Chief Strategy Officer at Techtonic, to explore how mission‑driven and enterprise organizations can turn chaotic, manual workflows into scalable systems their teams actually use. Michael breaks down why many workflow and automation projects fail—not because of bad software, but because they’re misaligned with mission, culture, governance, and cross‑department realities. He shares a clear framework for assessing current processes, designing around repeatable patterns instead of edge cases, and using configuration plus guardrails to balance flexibility with control, so leaders get trustworthy data and front‑line teams get workflows that support real adoption and AI‑ready operations.
Key Topics
Why many automation and workflow projects fail and how misalignment with mission, culture, and governance is often the root cause
A structured approach for auditing current workflows and designing repeatable, scalable patterns
The importance of stakeholder buy-in, leadership involvement, and user-centered design in successful adoption
Balancing flexibility and rigidity through configuration, guardrails, and clear governance
Addressing organizational issues like technical debt, siloed teams, and cross-department collaboration
How to measure success, validate workflows, and ensure data integrity for data-driven decision making
Practical steps for integrating AI into workflows without creating friction or inefficiency
Strategies for onboarding remote teams and fostering inclusive collaboration in geographically dispersed organizations
Timestamps
00:00 - Introduction to enterprise workflow challenges and the importance of mission alignment
02:01 - Michael Toguchi shares his journey in streamlining workflows for mission-driven organizations
04:01 - The ROI of automation in nonprofit, education, and corporate sectors
07:00 - Why technology alone doesn't fix workflow issues and the role of culture and governance
08:44 - Detecting strategy problems versus tool problems during workflow assessment
11:02 - Automating and streamlining for organizational impact and efficiency
12:19 - Validating workflows: ensuring data integrity and accountability
13:53 - Common forms of technical debt in organizational systems and how to address them
14:12 - Overcoming siloed teams and fostering cross-department collaboration
16:26 - Balancing configuration flexibility with the need for guardrails and consistency
17:53 - Developing a scalable workflow strategy with stakeholder buy-in and iterative feedback
20:01 - Building trust and ensuring adoption through leadership and people-centric approaches
22:30 - Aligning workflow automation with purpose-driven speed and scalability
25:14 - How to evaluate if workflows are misaligned with mission and culture
27:26 - Rethinking pricing models in AI-first SaaS to manage variable costs
30:11 - Leveraging nearshore talent pools for strategic advantage
32:05 - Signs that organizational workflows are misaligned with mission and culture
35:14 - Adapting product offerings in response to AI-driven service changes
37:30 - Transitioning to hybrid subscription and usage-based pricing models
40:21 - Mapping cross-department workflows to support collaboration and reduce silos
44:32 - Effective onboarding practices for remote Latin American hires
47:19 - Finding the right balance between governance and flexibility in enterprise workflows
49:31 - Final thoughts: key takeaways for workflow success
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45 min
February 16AI‑Ready Data Integration for Enterprise Tech Stacks
In this episode, host Michael Bernzweig talks with Matt Soltau, Global Director of Strategy and Operations at IntelliPaaS, about how enterprises can make their fragmented tech stacks truly AI‑ready. Matt explains why point‑to‑point “spaghetti” integrations create data silos, security risk, and failed AI projects, and shares how a centralized integration layer can deliver real‑time, reliable data across CRM, ERP, ITSM, and other core systems. You’ll hear practical steps to audit your current stack, create a single source of truth without yet another data lake, and design scalable, low‑code/enterprise‑grade integrations that turn your existing tools into a competitive advantage.
Key Topics:
The personal journey and insights from Matt Soltau on curiosity-driven career growth
How IntelliPaaS simplifies complex enterprise integrations with centralized solutions
Key strategies for making data AI-ready and avoiding common pitfalls
The importance of designing scalable, secure, and compliant data pipelines
Practical steps for upskilling QA teams into business-savvy quality engineers
Building impactful community movements versus simple groups
Metrics to measure audience engagement and community growth
Aligning developers, QA, and security for holistic quality ownership
How to progressively replace spaghetti integrations with AI-powered hub models
Approaches to cleaning, transforming, and orchestrating data for reliable AI deployment
Timestamps:
00:00 - Introduction to Matt Soltau's personal and professional journey
02:11 - The role of curiosity and international experience in shaping leadership
04:42 - Overview of IntelliPaaS's mission and core capabilities
05:09 - How IntelliPaaS supports regulated industries in real-time data management
08:42 - Strategies for deploying on-premise, cloud, and air-gapped environments
09:34 - Building scalable integration architecture: from point-to-point to hub models
11:15 - Using data stamps and audit trails for compliance in cross-border data use
13:01 - Unlocking AI value through integrated, real-time data pipelines
16:36 - Shifting from traditional point-to-point to centralized integration platforms
18:40 - Practical example: Transitioning from spaghetti architecture to hub-and-spoke
20:31 - Enabling AI readiness with flexible deployment and high data control
22:17 - Addressing AI hallucination through robust data pipelines
23:26 - The future of digital transformation and AI integration in enterprises
24:19 - Transformations in AI-driven data management and automation
25:49 - The importance of single source of truth and data normalization
27:33 - Applying AI to unstructured data like emails for automation
29:28 - How to evolve B2B marketing with AI-informed customer insights
31:35 - Differentiating a community movement from a simple community
34:40 - Signals of waterfall thinking in QA teams and how to adapt
37:09 - Questions to uncover customer pain points through interviews
38:25 - Metrics for measuring audience engagement before fan art & tattoo stage
40:28 - Designing community journeys to increase contributor engagement
48:29 - Alleviating burnout through targeted community engagement strategies
48:48 - Aligning developers, QA, and security for organizational quality ownership
50:23 - The playbook for cleaning and transforming data for reliable AI actions
53:33 - Closing remarks and next steps for attendees
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55 min
February 16B2B Event Business Demand: Ending Feast‑or‑Famine
In this episode, host Michael Bernzweig sits down with Dan Charles, founder of Codarity, to unpack why so many B2B agencies and event businesses stay stuck in feast‑or‑famine mode. Dan explains how most teams only market to the 5% of buyers who are actively searching while ignoring the 95% who are quietly forming their shortlists months in advance. He walks through how to map category entry points, stay always‑on in front of future buyers, and build an evergreen demand engine so you become the inevitable first call when budgets and timelines finally open up.
Key Topics:
The myth of active buyers and the reality of passive market demand
Understanding the 95% passive market and the 5% active market
The pitfalls of reactive marketing and the importance of consistent branding
How to maintain top-of-mind awareness and avoid being commoditized
The difference between capturing demand and creating demand
The role of Category Entry Points (CEPs) in pre-purchase positioning
Strategies for aligning with buyer triggers and maintaining visibility
Leveraging data and AI for effective market research and CEP development
Building a consistent marketing approach to smooth out revenue and increase profitability
Timestamps:
00:05 - Introduction by Michael Bernzweig
00:45 - Dan Charles on becoming inevitable in your market
03:07 - The importance of being remembered by prospects
05:17 - The dangers of pausing marketing efforts
06:59 - Capturing vs. creating demand
09:11 - Using CEPs to align with buyer triggers
11:40 - Applying demand creation strategies across industries
13:47 - Q&A session introduction
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48 min
February 07Fixing Your Funnel with AI
Join host Michael Bernzweig to discover how top e-commerce brands leverage data to optimize marketing, improve conversions, and reduce wasted ad spend. In this episode, Matthew Stafford shares proven strategies and real-life case studies that reveal the power of authentic customer data and AI-driven insights to drive sustainable growth.
Key Topics
The importance of owning and authenticating your customer data to maximize ROI
How to segment traffic sources and identify high-value customer behaviors
Common pitfalls with fake traffic, bots, and untracked visitors
Practical steps to implement consent banners and data collection tools
The role of AI and automation in scaling e-commerce efficiently
Case studies: From $300K/month to $2.7M/month by optimizing data
The difference between raw data and actionable insights
How to break down large marketing channels into meaningful segments
CRO principles for increasing conversion rates at checkout
Building a cohesive brand story across product lines for better engagement
Timestamps
00:00 - Welcome and overview of data-driven e-commerce growth
02:17 - Matthew's entrepreneurial journey from concrete business to online brands
05:07 - How selling T-shirts led to multi-million dollar success
09:32 - The significance of owning and analyzing your customer data
10:41 - Leveraging data to understand visitor behavior beyond traffic volume
13:08 - Myth busting: Data vs. insights and how to interpret them
14:20 - How to collect detailed customer data legally and ethically
15:40 - Segmenting traffic sources within channels for better optimization
17:25 - The impact of authenticating visitors on ad spend and ROAS
20:16 - Fixing leaks: Eliminating fake traffic and high bounce visitors
21:40 - Converting more visitors by optimizing on-site engagement
25:03 - Case study: Removing false negatives improves conversion rates
26:21 - How clean data drives better attribution and ad platform signals
27:45 - Practical CRO hacks for increasing checkout completion rates
33:07 - Using AI to build personalized growth roadmaps
34:07 - The power of persuasion: "Pre-suasion" principles in checkout forms
36:12 - Q&A panel: Insights from industry experts on marketing foundations and storytelling
50:35 - Building a unified brand story across multiple products and markets
51:26 - Rapid fixes in data management for quick wins in B2B and B2C
55:21 - Testing creative vs. audience targeting on platforms like Meta
56:51 - Differentiating junk traffic from high intent visitors effectively
58:10 - Where to place the brand story on your website to influence buying
59:34 - Final thoughts and upcoming sessions
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1 hr 1 min
February 07Scaling with AI: From Chaos to Control
Join host Michael Bernzweig as he explores how to align your sales and marketing teams, define clear go-to-market systems, and leverage AI effectively to drive scalable growth. This episode features insights from Mark Gordon, CEO of Integrated Go-to-Market Solutions, on transforming organizational alignment to unlock revenue potential.
Key topics:
The importance of organizational clarity in defining the problem and target audience
How misalignment between sales and marketing creates friction and stalls growth
The four pillars of a healthy go-to-market operating system: messaging, demand generation, sales process, and technology
Signs that a business struggles with go-to-market clarity rather than talent issues
The role of leadership and accountability in executing go-to-market transformation
Using AI for diagnosing messaging clarity and avoiding "peanut butter" AI strategies
Practical steps to improve website messaging and content alignment
Case examples of measuring ROI on digital transformation investments
Common content misfires that harm customer experience and AI performance
Strategies for leadership to set a single, clear problem-solution narrative
Timestamps:
00:00 - Introduction: Why organizational clarity is crucial for growth
01:15 - Mark Gordon shares his journey from rugby to go-to-market expertise
03:17 - The core four: framing your organization’s go-to-market operating system
04:37 - Why differentiation in sales and marketing is vital in commoditized industries
05:43 - Identifying industries that benefit most from complexity-driven strategies
06:20 - Testing your organization's alignment: Key questions for leaders
07:41 - The impact of misaligned messaging on demand and sales cycles
09:02 - The four pillars of a healthy go-to-market system: messaging, demand, sales, tech
10:21 - How clarity in messaging reduces friction and shortens sales cycles
11:37 - The critical relationship between sales process and buyer trust
12:29 - Technology as an enabler, not a silver bullet, in go-to-market success
13:04 - Ownership and leadership responsibility for go-to-market strategy
14:17 - When to embark on a full system transformation versus incremental optimization
15:26 - Leveraging AI to assess and improve your go-to-market clarity
16:17 - Recognizing when current systems are outdated and scale demands change
17:04 - Strategies for aligning sales and marketing leaders to present a united front
18:17 - External facilitation: How outside experts accelerate alignment
19:07 - The role of data in evaluating digital transformation investments
20:26 - Common website messaging pitfalls indicating systemic misalignment
29:25 - Diagnosing content vs. channel problems in B2B marketing
31:52 - The dangers of spreading AI initiatives without focused strategy
32:12 - How leadership can determine the core problems and ensure alignment
34:17 - Final tips on avoiding messaging misfires and organizational chaos
35:08 - Example: Using value stream analysis to justify AI investments
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39 min
January 30Impact of AI on Local SEO
In this episode, host Michael Bernzweig and guest Kyle Bailey from Front Burner Marketing share actionable insights on how local service providers can adapt to the rapid changes AI and search algorithms are bringing. Discover how to future-proof your business and stay visible in a competitive landscape.
Key Topics:
Kyle's entrepreneurial journey from 2009 to today and lessons learned from setbacks
The impact of AI search on local SEO and how businesses are being affected
Transition from traditional SEO to search everywhere optimization
Critical steps for local service providers to implement AI-friendly content strategies
The importance of local listings, reviews, and optimizing platforms like Houzz, Yelp, and Facebook
How Google is experimenting with removing the three-pack and what it means for your visibility
Building a reputation moat to protect against rising competitors
Case study: How a legacy overhead door company revitalized their online presence in the face of digital disruption
Immediate action steps to adapt your business for the evolving AI and search landscape
Timestamps:
00:00 - Introduction and importance of adapting to entrepreneurial journeys
01:07 - Kyle’s personal story and lessons from setbacks
02:32 - The analogy of falling up an escalator in business growth
03:12 - The impact of Google updates like Penguin, Panda, and helpful content
03:37 - The fragmented future of AI search and its implications
04:02 - Where home service professionals should start with AI integration
04:32 - Practical first steps: focusing on your website and storytelling
05:25 - Optimizing for AI: content relevance and authority signals
06:16 - The importance of understanding AI’s sources and signals
07:12 - Monitoring AI results and maintaining relevance on platforms
08:05 - The shift in local SEO with AI: moving beyond the Google 3-pack
09:01 - Expanding presence across local directories and review sites
10:27 - The need for conversational, entity-focused content for AI
11:26 - The fast pace of AI developments and the urgency to act
12:25 - Search everywhere optimization: schema, listings, reviews, and mentions
13:10 - Why local reviews and descriptions matter more than ever
14:03 - The significance of rich, location-specific reviews and descriptions
15:01 - Protecting your business with a moat — building resilience against competitors
16:57 - Preparing for the AI tsunami and future-proofing your local SEO
17:54 - The end of dependence on traditional SEO and the rise of AI-driven relevance
18:21 - Practical tips: diversifying online assets and reputation management
19:45 - The importance of local industry-specific directories and reviews
20:41 - Success story: Revitalizing an old overhead door company’s digital presence
21:10 - The risks of complacency and falling behind in online visibility
22:23 - Building integrated content ecosystems around service questions
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24 min

About B2B Automation Spotlight

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B2B Automation Spotlight™ is the podcast for founders, operators, and revenue leaders who want to scale with business process automation, AI, and no‑code workflows. Each weekly episode dives into real‑world automation use cases, from marketing and sales to customer success, finance, and operations.

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