AIDA - AI Deployment Accelerator
Buying AI Is Not Deploying It
AIDA takes you from licenses, or from informal and shadow use, to a secure, governed, and adopted enterprise AI deployment in four weeks.
The Challenge
What We Do
Controls first: Microsoft Purview sensitivity labels, DLP, and oversharing remediation before anything is switched on
Identity and access configuration for AI workloads
A structured pilot cohort with a defined adoption plan
Executive readout with a go-forward rollout recommendation
Copilot Edition: Microsoft 365 Copilot deployed across your tenant, aligned to Microsoft’s recommended deployment and governance methodology
Claude Edition: Anthropic’s Claude for the enterprise, deployed secure and governed, aligned to Anthropic’s recommended methodology
OpenAI ChatGPT and Google Gemini editions are coming soon under the same governance-first method
Deliverables
Configured data protection controls: sensitivity labels, DLP, oversharing remediation
A governed, secured AI deployment on the platform you chose
A live pilot cohort with an adoption plan
Executive readout and rollout recommendation
Who It Is For
Organizations that bought Microsoft 365 Copilot or Claude licenses and have not deployed them
Organizations with informal or shadow AI use and no governance around it
Regulated organizations that need controls in place before enablement
Why BB2
Microsoft-native AI practice spanning Copilot, Copilot Studio, Azure AI, and the AMBERD private LLM platform
Vendor-open approach: BB2 recommends the right platform across Microsoft, AWS, and Google, not a single stack
50+ AWS and Microsoft engineers, 50+ Microsoft certifications
US-based delivery with government cloud capability for regulated and public-sector clients
Four weeks, fixed fee, per edition. The same governance-first method applies whether you chose Microsoft 365 Copilot or Claude; because the assessment that precedes AIDA is vendor-open, the platform choice stays yours. Step 3 of the BB2 AI Enablement Journey.