Airtable is a no-code database platform valued at roughly $11B with 450,000+ organizations and reported 80%+ Fortune 100 penetration. Because Airtable touches HR, marketing, ops, product, finance, and engineering inside one account, its research challenge is unusual: understand many jobs-to-be-done across many departments without forcing any into a narrow schema.

Anthropic calls its forward-deployed engineering function "Applied AI Engineer" — same job as a Palantir or OpenAI FDE, different label that reflects Anthropic's safety-first, research-led culture.

Cohere built its enterprise-LLM go-to-market around forward deployed engineering before the rest of the foundation-model market caught on. Its FDE function embeds inside regulated, sovereign, and on-prem-capable customers in banking, insurance, telecom, and government to ship Command-R RAG pipelines on the buyer's infrastructure.

Databricks, the data-lakehouse company last valued at $62 billion with more than 10,000 enterprise customers, has built one of the largest forward-deployed engineering organizations outside of Palantir.

Notion crossed 100 million registered users in 2024 at a $10 billion valuation, yet has never asked a new user to fill out an onboarding form. Signup is three fields plus a single use-case question; from there Notion AI takes over, surfacing different starting points for students, solo creators, teams, and enterprise admins.

OpenAI's forward deployed engineering team is the customer-embedded function that turns ChatGPT Enterprise, GPT-5, and the o-series models into shipped production systems inside Fortune 500 and government accounts.

Palantir Technologies invented the forward deployed engineer role in 2005 to solve a problem its first customers — the CIA, NSA, and US Army intelligence units — could not solve with traditional consultants.

Stripe — valued at $95B in its 2025 tender offer and processing $1.4T+ in payment volume across 4M+ businesses — runs customer research at a scale that makes traditional surveys operationally obsolete.

Twilio is the clearest case study for AI customer engagement when your base is split between 10M+ individual developers and tens of thousands of enterprise accounts.

American Family Insurance is the #10 US property & casualty carrier with roughly $15.3 billion in direct written premiums and a mutual structure that lets it fund modernization without quarterly earnings pressure.

Anthropic, the maker of Claude, has become the canonical example of an AI lab that systematically researches its own enterprise buyers using AI — not just builds models.

Better.com (NASDAQ: BETR) is the publicly-traded digital mortgage lender that, after a turbulent SPAC debut, mass layoffs, and a CEO-on-Zoom scandal in 2021–2022, rebuilt its product around conversational AI — most visibly with Betsy, the company's AI mortgage assistant launched in 2024 and expanded in 2025.

Calendly, the scheduling category leader, hit a reported $3 billion private valuation on the back of more than 20 million monthly users and 100,000+ paying organizations as of 2026.

Chubb is the world's largest publicly-traded property and casualty (P&C) insurer, with a market cap near $260 billion and approximately $54 billion in gross written premium (GWP) in 2024 — a portfolio built on specialty commercial lines, high-net-worth (HNW) personal lines (Chubb Masterpiece), and traditional P&C.

Compass (NYSE: COMP) is a $4B-market-cap residential brokerage that has bet the company on the thesis that proprietary technology — not commission structure — will be the long-term moat in real estate.

DLA Piper — the global law firm with 90+ offices, more than 4,800 lawyers, and presence across roughly 36 jurisdictions — has become one of the most public biglaw AI adopters in 2026, with three named initiatives: a 2024 partnership with Iris (then "Iris.ai") for legal research, a firmwide Microsoft 365 Copilot…

DocuSign, a $13B publicly-traded agreement platform with more than 1.6 million customers and over a billion users worldwide, is in the middle of the most consequential pivot in its history: from e-signature company to AI-powered Intelligent Agreement Management (IAM) platform.

Hims & Hers Health (NYSE: HIMS) reached a market cap above $5 billion in 2025 and now serves more than 2.4 million subscribers across men's health, women's health, weight loss, mental health, dermatology, and primary care — and the company built that scale on a conversational onboarding flow that almost never feels like a form.

Klaviyo (NYSE: KVYO), the publicly-traded marketing automation platform that IPO'd in September 2023 at roughly a $9B valuation, serves more than 167,000 ecommerce brands and powered $63B+ in attributed customer revenue across the 2024 holiday quarter.

Maven Clinic is a $1.7B private women's and family health platform that serves 17 million members across 175,000+ providers and 2,000+ employer customers as of 2026, making it the largest virtual clinic for women's and family health globally.

Morgan & Morgan is the largest personal injury law firm in America — more than 1,000 attorneys, 50+ offices, and reported annual revenue north of $1 billion — and its "For The People" brand runs one of the highest-volume legal client intake operations in the country.

Rocket Mortgage is the #1 US retail mortgage lender, originating $101.2 billion in 2024 and roughly 8% of the US retail purchase market, and its 2026 AI playbook is built around two things: Rocket Logic, the proprietary AI underwriting and document layer, and a conversational borrower intake flow that the brand has…

Shopify, the publicly-traded ($SHOP, market cap north of $90B in 2026) commerce platform powering more than 4.6 million merchants across 175 countries, has rebuilt its product organization around continuous merchant research feeding an AI-first product surface.

Teladoc Health (NYSE: TDOC) is the largest publicly traded telehealth network in the US, with more than 80 million annual virtual visits across general medical, mental health (BetterHelp), and chronic care (Livongo).

Inside Atlassian customer research in 2026: how Jira, Confluence, and Loom share a single discovery engine, what Rovo AI changed, and how teams prioritize across four product lines using AI customer interviews at scale.

Datadog runs customer research as a hybrid operation: enterprise PMMs interview platform buyers while DevRel and product managers harvest signal from developers using the product daily. AI conversations now stitch those two streams together at scale.

HubSpot runs customer research across five product Hubs and 200,000+ customers using a federated research org, always-on feedback loops, and Breeze AI assistants that turn conversational data into a continuous discovery layer.

Intercom Fin is the AI customer service agent that resolves the majority of inbound conversations without a human. This case study covers what Fin actually does, what happened to forms, ticket volume, and human-rep workflow.

MetLife's AI strategy in 2026 centers on group benefits: conversational enrollment, claims automation, and a 160-year data moat. Here's what the incumbent is shipping, where peers beat them, and what it means for life insurance AI.

Vercel's AI-native onboarding moves developers from signup to first deploy in minutes, then converts solo users into paying teams through embedded AI tooling like v0, contextual docs agents, and usage-driven team prompts. Here is how their playbook works.

Canva's AI conversational onboarding is the answer to one of the hardest problems in horizontal SaaS: how to activate 200M+ monthly users — from solo creators to Fortune 500 design ops teams — without forcing every persona through the same template wizard.

Duolingo runs one of the most disciplined customer research operations in consumer software, and based on the company's public engineering blog, investor letters, and conference talks, that operation has shifted from periodic survey panels toward continuous, AI-assisted discovery in 2025–2026.

Figma reached 13 million monthly active users and a public-market debut in 2026 with a research function that never scaled linearly with headcount. Founder and CEO Dylan Field built the company on a tight feedback loop: the Figma Community, in-file comments, the public forum, Config (the annual user conference), and a…

Linear, the project management tool used by OpenAI, Vercel, Ramp, and thousands of other teams, has built a reputation for product taste that competitors like Jira and Asana spend tens of millions of marketing dollars trying to dent.

Loom — the async video messaging company acquired by Atlassian in 2023 for $975 million — is the rare SaaS that built its customer research the same way it built its product: async first.

Miro runs customer research on a tool that is, itself, a research tool — a recursion that forces the company to be unusually deliberate about how it learns from its 90M+ registered users.

Ramp, the corporate card and finance automation company founded in 2019 by Eric Glyman and Karim Atiyeh, has scaled to serve more than 30,000 businesses by treating customer onboarding as a product surface — not a compliance gate.

Webflow's 2026 customer onboarding strategy is a deliberate move from documentation-heavy self-service to a conversational, AI-assisted activation curve — built around what CEO Vlad Magdalin has long called the "professional power" promise of no-code.

Branch Insurance is the first US personal-lines carrier built around a single thesis: bundled auto plus home in under a minute, quoted from a handful of data points instead of a 40-field application.

Cleveland Clinic has spent more than a decade building one of the most public AI playbooks in US healthcare, anchored by an early IBM Watson partnership in 2014, a deep Epic EHR backbone, a multi-year generative AI pact with Microsoft and G42 announced in 2023, and a quantum-and-AI biomedical research alliance with…

Cover Genius is the Sydney-headquartered insurtech that operates XCover, the largest embedded-insurance distribution platform in the world, underwriting protection for partners including Booking.com, Intuit, eBay, Ryanair, Uber, and SeatGeek.

Farmers Insurance Group is the largest captive-agent personal-lines carrier in the United States, writing roughly $25 billion in annual premium across more than 10 million households through a network of about 48,000 exclusive and independent agents.

Klarna's OpenAI-powered customer service assistant, launched globally in February 2024, handled 2.3 million conversations in its first month — work the company said was equivalent to roughly 700 full-time agents.

Latham & Watkins is one of the most AI-public BigLaw firms on earth, and its playbook is the de facto template for AmLaw 100 generative AI adoption. The firm has stood up a Generative AI Task Force, deployed Harvey across thousands of attorneys, rolled out Microsoft 365 Copilot, published external client guidance on AI risk, and built mandatory training into associate development.

LegalZoom is the most exposed legaltech incumbent to generative AI — its market cap was built on charging consumers and small businesses to fill out legal forms, and ChatGPT now drafts those same documents for free in under 30 seconds.

Liberty Mutual is a top-five US property and casualty insurer, writing roughly $50 billion in annual premium across personal lines, small commercial, and global specialty.

Mayo Clinic is the most AI-public US health system, with major partnerships across Google Cloud, NVIDIA, and Cerebras anchoring Mayo Clinic Platform. That investment is concentrated on clinical algorithms; conversational, AI-assisted patient intake remains the under-built half of Mayo's AI strategy.

Nationwide's AI customer experience strategy is built around a structural advantage no monoline carrier can match: a single member relationship that spans auto, home, life, pet, and financial services.

Notion's customer research practice is the clearest case study in modern SaaS for what happens when a CEO refuses to outsource learning about users. Co-founder Ivan Zhao personally interviewed early users for years, and that habit cascaded into a product-development culture where talking to customers is treated as the…

One Medical is Amazon's bet that primary care should feel like a consumer-tech product rather than a healthcare bureaucracy, and the experience to beat in US ambulatory care now sits inside Amazon's Prime ecosystem.

Pie Insurance is the clearest proof that AI-first underwriting works in a vertical legacy carriers wrote off — small business workers' compensation. Founded in 2017, Pie uses a tech-driven model to quote, bind, and service workers' comp policies, raising more than $615 million in equity and reaching a $2 billion-plus valuation at its 2022 Series D (press release).

Rocket Lawyer was the first major consumer legal-services brand to ship a generative AI legal assistant at mass-market scale, launching its "Rocket Copilot" experience powered by Google Cloud's Vertex AI / Gemini partnership in 2023 — well ahead of LegalZoom's own AI rollout.

Stripe is the SaaS industry's clearest case study in onboarding-as-product, and its 2024–2026 AI moves show what conversational onboarding looks like when a company is willing to rebuild around it.

Travelers Insurance AI strategy is overwhelmingly weighted toward underwriting and claims — not the consumer chatbots that dominate Geico, Lemonade, and Progressive headlines.

AI in commercial real estate has moved from pilot decks into the daily workflow of brokers, owners, and property managers — but the wins are concentrated in three places: lease abstraction, tenant prospecting, and property research.

AI in higher education in 2026 has moved past the "ChatGPT in the classroom" debate into three workflows where it's measurably working: admissions intake (Georgia State's Pounce chatbot cut summer melt from 19% to 9%), student success conversations (Harvard's CS50 Duck and ASU's ChatGPT Edu rollout to 100,000+ users), and alumni feedback at scale.

Allstate's AI claims strategy is one of the longest-running, most-public bets on automation in U.S. P&C insurance. QuickFoto Claim, launched in 2014 as the carrier's photo-based damage estimation app, now handles roughly half of Allstate's driveable-vehicle auto claims and has helped compress the estimating cycle from…

Corporate event registration in 2026 is splitting into three distinct workflows — internal events (sales kickoffs, training, all-hands), B2B conferences (industry summits, user conferences, exhibitions), and field marketing events (executive dinners, regional roadshows) — and the generic ticketing form is failing all three.

Event registration software for nonprofits in 2026 is no longer a ticketing utility — it is the front door of your donor pipeline. The best platforms blend three things consumer-grade tools cannot: native CRM sync to Salesforce NPSP, Bloomerang, or Neon CRM so every registrant becomes a constituent record…

Geico's AI chatbot strategy in 2026 centers on Kate, a virtual assistant inside the Geico Mobile app that answers policy, billing, and document questions through natural-language conversation instead of forms.

Hippo Insurance pioneered the smart-home-as-insurance-policy model, bundling Notion, Roost, SimpliSafe, ADT, and Kangaroo IoT devices into homeowners coverage to detect water leaks, freeze events, and intrusions before they become claims.

Next Insurance — rebranded as ERGO NEXT Insurance in early 2026 after its integration with Munich Re — built one of the most successful AI-first SMB insurance carriers in the U.S. by replacing the broker-and-paper-application model with a digital quoting flow that prices policies in minutes.

Progressive's Snapshot is the most studied telematics program in U.S. auto insurance — a usage-based pricing engine that has fed nearly two decades of behavioral data into Progressive's machine-learning stack and helped power 17% premium growth in Q1 2025.

Root Insurance built the most behavior-native auto underwriting stack in the U.S. by replacing credit scores and demographic proxies with telematics: a 30-day in-app test drive that scores 270+ driving variables across 36 billion miles of collected data, with roughly 73% of pricing weight on actual driving behavior.

State Farm — the largest US property and casualty insurer with more than 96 million policies and accounts — is modernizing its customer experience around an explicit "augment, don't replace" thesis for its 19,200+ agent offices and 62,000+ employees.

USAA's AI customer service strategy is the clearest counter-example to the "deflect first, automate everything" playbook the rest of the insurance industry is running. The San Antonio-based insurer has won J.D.

Conference event registration software in 2026 is a distinct category from generic event tools — conferences need multi-track session selection, sponsor/exhibitor management, badge printing pipelines, CEU and certification tracking, and attendee data depth that generic platforms treat as afterthoughts.

Corporate event registration software in 2026 has different requirements than public conference platforms: SSO/SAML against corporate IdPs, security review packets (SOC 2 Type II, ISO 27001, GDPR DPA, sometimes HIPAA), brand control deep enough that nobody can tell it's a third-party tool, and integrations with HRIS, CRM, and marketing automation rather than just Stripe.

Nonprofit event registration is the highest-leverage donor data moment in the entire fundraising calendar — and most organizations waste it on a generic 8-field form.

AI in customer communications in the insurance industry is no longer experimental in 2026 — it is shipped at scale for a narrow set of workflows and stalled at pilot for almost everything else.

AI in customer communications for insurers is no longer a pilot-stage experiment — by 2026, most U.S. carriers, MGAs, and brokerages have at least one AI-driven channel in production for First Notice of Loss (FNOL) intake, policy and coverage Q&A, renewals outreach, or claims status updates.

AI technology for insurance policy inquiries is the single most-deployed AI use case in U.S. property and casualty carriers in 2026, ahead of underwriting copilots and claims triage.

Law firms lose 65-70% of PNCs at the intake stage. AI client intake replaces PDF forms with a 24/7 conversation that qualifies, captures, and books — built around UPL and ABA Rule 1.6 guardrails.

Most insurance agencies misallocate their AI budget. The leverage is at the bookends — intake (stage 1) and renewal (stage 5), not submission and bind. A 5-stage playbook.

Lead volume is up, conversion is down. The leverage in real estate AI is at lead capture, buyer discovery, and listing prep — not another chatbot. A practical playbook.

Most insurance AI was built for carriers, not brokers. A practical roundup of broker-side AI tools across 6 categories — intake, quoting, policy review, claims, AMS, CRM.

Why real estate teams are replacing contact forms with AI-powered conversations that capture buyer intent, timeline, and budget before an agent picks up the phone.

How healthcare practices are replacing paper intake forms with AI-powered conversations that adapt to each patient, improving data quality and reducing wait times.

Why the best home services contractors are replacing contact forms with AI-powered conversational intake that qualifies leads in real-time and routes to the right crew.

Why nonprofit donor satisfaction surveys miss what matters and how AI-powered conversations uncover the motivations, concerns, and loyalty signals that drive retention.