I have nothing much more to add to this - this post on Service-as-Software and Systems of Agents is right on the thesis and most comprehensive #AI #agents stack I've seen so far. I'm thinking about how to translate/apply this for the #accounting profession. Sign up on our website if you're interested in following, I'll be writing more on our blog - https://lnkd.in/giGeTzT5 #AI #AIAgents #Innovation #FutureOfWork #AccountingInnovation #AIinAccounting #FinTech #MachineLearning #DataSecurity #Automation #DigitalTransformation #CPATech #FinanceAI #RegTech #AgentCollaboration #accountingTech #CPA #CPAtech [Day 6 of 30-in-30 LI Posts] Day 1: my transition to #consulting https://lnkd.in/gzWU4jdD Day 2: hidden costs of #innovation https://lnkd.in/guSFwiaV Day 3: Ellen speaking at AT #AI Summit https://lnkd.in/gub5NCfw Day 4: firm m&a integration pillars https://lnkd.in/g2-ya-te Day 5: #AI #agents demo day https://lnkd.in/g3i-pmWp
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale, @alation, @amperity, | GP@Foundation Capital
Service-as-software is a $4.6T opportunity. But no one knows how to actually grab that opportunity yet. Enterprise software has gone from assisting human workflows to now, LLMs giving software the ability to actually perform parts of the workflow. Instead of relying on timely and sometimes inaccurate human inputs of structured data, today's systems actively capture and process both structured and unstructured data. The service-as-software shift was huge—but we're on the edge of one that's even bigger. My Foundation Partners Joanne Chen and Jaya Gupta have now outlined how to put the service-as-software paradigm shift into action: through a System of Agents, which doesn’t just streamline a workflow but actually completes whole tasks, becoming the worker. A System of Agents mirrors a human team, with agents taking on collaborative, specialized tasks and continuously learning from each other, just as human teams do. Advice for founders building with Systems of Agents: → Position at the data source, own the path. Traditional software waits for humans to input data, whereas Systems of Agents capture it at the source. When an agent owns the interface where data is born, the system can then orchestrate every downstream action. → Move beyond software budgets, tap workforce spend. When a System of Agents completes a whole job task, it should be categorized as a personnel cost, not a software expense. → Use AI’s 24/7 nature and scalability to create new workstreams. AI agents working in areas like healthcare can operate 24/7, providing reliable support and an around-the-clock presence. → Stay ahead of pricing and business model shifts. Service-as-software shifts the core business model from seat-based pricing to outcome-based pricing; value is placed on the tangible improvements that AI delivers. In the past 6 months, we’ve heard from hundreds of startups working in this space. After those conversations, we’re announcing the System of Agents 50, which includes the companies you see here. 👇 Full blog in the comments.