Actively AI reposted this
95% of CROs have an answer to how they're investing in AI. Otherwise they'd be fired. An “answer” will only work for the next 6-12 months for most CROs. Then it will be your AI Strategy that will make or break your success and market value as the world transitions to AI Native revenue architecture. Where should you start if you're at the investing vs. strategy stage. Go deep on agent vs. multi-agent systems. Agents are real. The outcomes are real. A single Claude integration running a full inbound motion. Retention and cross-sell campaigns across 100 reps off one signal. Rep research that took 45 minutes happening before the call even books. But here's what the average 100 AEs, 50 SDRs, 35 CSMs AI stack actually looks like: - One agent surfacing enriched contacts at point-in-time - AI assistants on personal laptops turning transcripts into decks - A call recording platform's deal health score automating forecasting - An inhouse build consuming $1.5M/year in tokens leadership will find out about in six months - A transcription tool in every 1:1 where managers coach their agent on how to coach their team Then you zoom out. None of them talk to each other Your SDR's enrichment agent doesn't know what your AE's deal inspection agent just flagged. Your CS retention agent is running a save play on an account your sales team already marked for expansion. Your inhouse build is consuming data your call recording tool already surfaced – nobody connected the pipe, thought about token costs, or the technical debt when you rip it out next quarter. That's not a multi-agent system. That's 14 agents and a prayer. AI agents = individual tools doing individual tasks in isolation. Multi-agent systems = agents sharing context, coordinating actions, compounding output no single agent could produce alone. The agent world feels productive. Feels fast. Feels like you're winning. Until your SDR books a meeting with a contact your CS agent flagged as a detractor and investor in a competitive product — yesterday. Until your AE sells the wrong product to the wrong persona, because your knowledge platform didn’t have context at the Account level. Until your forecasting agent says the deal is healthy, your call recording agent says it isn't, and nobody notices the AE that was promoted last year built a champion that reported into your EB for 10 years. You're not running a GTM motion. You're running 14 disconnected bets that occasionally produce the same customer name. The worst part? You won't know until your competition is crushing you and employees are leaving to more AI forward companies next year. Every dashboard looks fine. Every agent is performing. Every point solution has its own ROI story. Then you go deep on productivity lifts at the request of your board. It doesn't make sense. You start pulling threads. And you realize the machine was never a machine. It was just parts. Look at your stack. Count the agents. Are they talking to each other?