Deploy Enterprise AI That Delivers Business Value.

The BWA Bot Accelerator Framework is a production-ready framework built entirely on Microsoft Azure AI services, OpenAI, AI Search, CLU, and Cognitive Services. Stan, the first bot deployed on the framework, went from kickoff to production in 8 weeks. Starter engagements typically run 4 to 6 weeks.

It is native to the platform, not a separate purchase or a bolted-on integration. Agentic AI is built in and works against the same content and permissions as everything else.

Two things today. AI Block Expressions generate page layouts and interactive sections, and AI Assist refines existing content in place. Both run inside the normal authoring workflow rather than in a separate tool.

Stan is BWA's conversational platform assistant. You ask it questions about the platform in plain language and it answers from a maintained knowledge base, citing what it drew on rather than answering from memory.

Stan covers BWA platform questions. Account, billing and unrelated topics are out of scope, it will point you to your support contact rather than attempt an answer. Where a question is ambiguous it asks one clarifying question instead of guessing, and where it has no grounded answer it says so rather than inventing one.

Typical questions are the practical ones that come up while building: how to create a new content module, what the difference is between CMS and Headless mode, how plugins work, how to add a shortcode to a page, where the AI Block tool is, and what the LMS quiz container does.

Built in and ready to use: AI Block Expressions for generating layouts and interactive sections, AI Assist for refining content in place, agentic workflows across the modules, and Stan for platform questions. Built by you: a customer-facing assistant of your own, using the BWA Bot Accelerator Framework on Microsoft Azure AI services.

Through a per-domain Agent Action policy, and the defaults are deliberately cautious: agent actions are off until enabled, and dry-run until you turn that off. Beyond that you allowlist which verbs are permitted, create, update, publish, configure, revert  and which entity types they apply to, cap how many actions can run per hour, and read a full audit log of everything attempted, with a configurable retention period.

No. Generated blocks are placed as managed markers rather than pasted-in markup, and the engine resolves each marker to whichever version is currently live when the page renders. That means a block can be promoted, reverted or archived without anyone re-editing the page it sits on.

It works in treatments rather than rewrites, recolour, animation and layout which stack at render time. Each kind is promoted independently, so applying a new animation does not discard the recolour you already approved, and any treatment can be reverted on its own.

Yes. A site-wide Generative Engine Optimization policy sets which AI crawlers may read the site, held as explicit allow and deny lists rather than a single on/off switch, so you can admit the engines you want to be discoverable in and exclude the rest.

BWA builds /llms.txt for you, a Markdown index telling an AI agent what your site is and which pages answer what, so it does not have to parse your HTML chrome to work it out. Worth being straight about it: llms.txt is a proposed convention, not a ratified standard, and no engine is obliged to read it. It costs little and helps where it is honoured.