Will you just plug ChatGPT into our company data?
No. Consumer tools are not an enterprise architecture. We design access control, data isolation, logging, and a business owner for every use case before anything touches production systems.
What is typically in scope?
Private or hybrid environments, model hosting with permissioning, copilots inside Microsoft 365 or line-of-business systems, automation for defined workflows, and governance so leadership can defend the program. Open-ended “experiment with AI” retainers without a business owner are not the engagement. For the named Microsoft Copilot path in M365 / Teams, see Microsoft Copilot.
When is Microsoft Copilot the better front door?
When the brief is Microsoft Copilot in the M365 / Teams estate (readiness, pilot rollout, coaching, hardening), start with Microsoft Copilot. Stay here for custom agents, private or hybrid environments, ERP and CRM copilots, and tools that are not Microsoft.
How do you work with our IT and security teams?
AI sits inside the same identity, logging, and change-control world as the rest of the stack. We coordinate with your CIO/CISO seat (ours or yours) and with Managed IT so copilots and agents do not become shadow IT. Security review is part of delivery, not an afterthought.
Our data is a mess. Should we start with AI anyway?
Usually start with Data Services when audits, definitions, vendor choices, or pipeline ownership are the real gap. AI on top of unclear ownership creates more shadow systems. Briefing is where we decide whether a pilot makes sense, or whether the data work comes first.
How long before we see something useful?
Most engagements start with one high-friction workflow and a clear success measure, not a platform boil-the-ocean. A focused pilot can show value in weeks; broader rollout follows only after governance and access control are solid. Scope it through Become a Client.