A message leaves a client, crosses the edge, reaches the gateway, and is routed to the right specialist with the proper tooling and capabilities, which calls the model hub and searches the corpus while the intelligence layer feeds context in from the side.
One platform, one identity, one set of specialists, reached from four surfaces. Voice is available on iOS and the web.
The specialists, prompts, skills, and corpus are built for your practice areas during implementation. The platform underneath does not change.












The platform began as the internal AI for SAX, a Top 100 accounting, tax, and advisory firm, where it serves tax, audit, wealth, client accounting, M&A, and technology teams across multiple entities. SAX Technology Advisors just productized the same methodology, architecture, infrastructure to bring to market an enterprise class SaaS AI platform to any business looking to consolidate, standardise, or implement AI vs utilizing various existing tools that are adding chatbots or users set up with individual/teams public subscriptions.
These figures describe SAX’s own deployment only and are not a projection or guarantee of results for any other organization. Cost is from Azure invoices; value is measured usage multiplied by SAX’s stated assumptions for time saved and loaded labor rates.
Every engagement starts with a demo and a consult. Pricing follows the scope: implementation, hosting and maintenance, per-user licensing, and usage true-ups.