How People Are Using AI For Customer Support

Business owners: add an AI chatbot to everything. Christophe Barre, founder/CEO of https://t.co/6lFrJfgQCW tells me all about why his company is the answer to build AIs into everything. https://t.co/eXaVGgb58w

“we've been working very closely with Palantir. And the value that Palantir brings in a situation like this is their AI approach is data source agnostic. So if I think about my team and I think about things like customer disputes, that data sits in multiple systems. Palantir's algorithms cross those systems and look for relationships that we can't see as humans in an AI way. And so what they're able to do for us is take a customer dispute that would have taken hours or days and turn it into minutes or hours. That drives efficiency. That's just one example. “ 🤝

Was reading a report on AI Across Companies, the first contact between a customer and AI/Bot agent has increased from 15% in 2024 to 85% in 2025 70% increase in a single year Low skilled Service sector job like customer care and Data Entry are on verge of extinction Will be death blow for BA pass students from poor households who used to do short course and get 15-20k jobs in these companies

There’s likely too much fear that AI models eat the app layer as they improve. For AI Agents to work, most enterprises will require a bridge between the AI and their specific workflows. It turns out the last mile of making AI Agents work in real, highly variable and hostile environments, is insanely hard. And increasingly it’s the most valuable part of the whole process. That bridge between AI models and enterprise workflows will be a heavy amount of software to connect to different systems, pulling in the right enterprise data, handling security and permissions properly, and having a deep level of context tied to the use case. Then you add in customer support tailored to the use-case, SLAs, liability clauses, tailored sales motions, aligned partnerships for the category, and so on. The list required is quite endless. Every single vertical, and even critical horizontal category, will require a deep amount of expertise to make the AI Agents effective. The big opportunity right now is to identify where these gaps are the widest (between model and the workflow), and fill them in with the appropriate software and expertise. And, even as the models improve - which has previously presented the risk of cannibalization - the focused players can just offer even more value and use-cases to customers. There’s almost no scenario, if you’ve gone after the right market opportunity, where model improvements are a bad thing when building AI Agents.

Agentic AI is here. But the real question isn’t what to automate, it’s which decisions to. Smart leaders are rethinking service ops, blending AI with human judgment where it matters most. Explore the framework that’s changing the game: https://t.co/TzerjON53Q https://t.co/kT1VnU31QE

the new startup playbook looks NOTHING like the old one: – most of your team will be part-time contractors, creators, and ai agents – your first $1m will come from niching down. your next $10m will come from tastefully scaling out – one agent spins out 50 longtail SEO pages from transcripts, support tickets, or user reviews – startups are turning into QVC. except this time, you own the channel and the product – onboarding will feel like texting a friend. static forms are dead – every landing page rewrites itself based on who's viewing it (claude or chatgpt-4o + session data) – every successful company will feel like a subculture. the product is just a portal in – outbound are agents scraping, qualifying, and writing personalized intros 24/7 – customer support = 1 human backed by 5 lindy agents trained on every support ticket ever written – micro-apps will outperform mega-tools. specific > general – growth isn’t an afterthought. it’s built into the product (agent-invite loops, ai-powered referrals) – if your product doesn't spark curiosity in 2 seconds, it’s invisible – the best products of the next decade will be memes first, software second – “launch” is outdated. leak it instead – the new pricing model: $0 to play, $x to unlock identity – you won’t sell software. you’ll sell outcomes, transformations, identity upgrades – more people will leave big tech to build solo. not out of rebellion, but because their side hustles are more interesting – the best homepages become a scene. your standard shadcn websites won’t hit the same – default alive is low burn, small team, owned audience, high-leverage systems – competitor research happens automatically. agents scrape, cluster, and surface positioning gaps – your CRM isn’t stale. agents log calls, summarize deals, and write follow-ups before you hang up – venture capital is optional – customer success isn’t reactive. agents predict churn based on tone in support chats and usage – we’ll see more “tiny empires”: one founder, one audience, and a constellation of tools they own – bug reports are summarized, tagged, prioritized, and triaged by an agent before eng ever sees them – IRL matters. founders become event planners – most SaaS is overbuilt. the next wave wins by subtracting – if your product can't be explained in a screenshot, it won't spread – the creative director is the new power hire. taste is now a growth lever – churned users get a custom winback campaign built by an agent based on why they left – knowledge base builds itself from slack threads, loom links, and discord q&a (agents + gpt vision) – product feedback loops are instant. users speak → agents summarize, prioritize, and mock ui changes – most startups will die trying to be “all-in-one.” the winners do one weird thing stupidly well – startup advice used to be: find a technical cofounder. now it’s: find a distribution edge – your product isn’t finished when it works. it’s finished when people want to wear the hoodie – the people who win distribution will own demand. the rest will rent it if this felt like a glimpse into the future, it's because it is. instead of bookmarking this, share it with a friend, and start building. you don’t need permission to build like this. you just need to start. most people will ignore this. but this is the new reality... small teams, infinite leverage. Happy building. I'm rooting for you.