Nobody Buys AI. They Buy a Migration That Finishes

IntroductionWhat is an insurer actually buying when it signs an AI contract? Dan Griffith's answer is that the failures came from companies buying AI because they needed AI, and the wins came from companies buying a migration that finishes faster at a fixed cost. Tim Vieyra runs Comotion AI, a Cape Town firm that spent twelve years building analytics and policy administration software other companies put their name on, and is now selling in the US under its own. Dan is advising Comotion on that entry, so this conversation runs two threads at once: what has to be true about an insurer's data before any AI project is real, and what has to be true about a company before it tries to sell into the American market.Guest BiosTim Vieyra is a qualified actuary who left corporate financial services in 2013 to co-found Comotion, a software and data firm serving life insurance, investment, and healthcare clients. Comotion built the analytics engine behind TAI Insights and has worked with RGA South Africa. Comotion AI is the platform version of that work, putting governed, queryable structure over insurance, finance, and mortgage data, with data migration and profiling as the lead use case. Dan Griffith spent thirty years in enterprise sales, including a run as the first US hire for a South African company he helped scale from $3M to $150M, and now runs Greater Gain Group, which helps international software companies land and scale in US insurance and financial services.Key Topics-Buying an outcome, not AI - Griffith argues the failures came from companies that bought AI because they needed AI. What Comotion's customers buy is a migration that lands faster at a fixed acquisition cost.-Profiling in week one instead of month six - Vieyra explains that migration teams have historically found their data problems only after loading a target system and running reports. Comprehensive profiling on ingest moves that discovery to week one or two.-Governance resonated least - Griffith expected governance to carry the pitch and found it landed weakest, because governance is not a problem until it becomes one and the industry has not settled what the word means.-Narrowing the message on purpose - Vieyra describes shifting from "we can help with a broad array of problems" to two named use cases. That limits bandwidth, but it cuts through the noise faster.-South Africa versus the US - A smaller market rewards land-and-expand relationships and tolerates a muddier value proposition. Th