Every engagement starts with the AI Opportunity Assessment: $4,500, flat and fixed scope, delivered in about two weeks. You get a clear number before anything is built, plus a prioritized plan for what to automate first. Build work is quoted separately once we know exactly what we're building.
The Assessment itself takes about two weeks. Most first automations go from blueprint to production in four to eight weeks after that, depending on complexity. You get a realistic timeline at the end of the Assessment, not a guess up front.
Start with the Assessment, not a tool purchase. We map where your team is losing time, what's worth automating, and what should stay human, then hand you a prioritized plan. That plan follows our Assess, Build, Adopt, Manage method, so you always know what's next.
Yes. Microsoft 365, SharePoint, Teams, Outlook, and Copilot are a common starting point, and we connect the CRM, ERP, and accounting tools you already run so information moves between them instead of being re-typed by hand. We build on what you own, not a new platform.
We don't disappear after the first build. Manage is the fourth step of our method: we keep tuning the automation, train your team to run it, and identify the next bottleneck worth fixing. You can also choose to run it internally — that choice is yours, not a forced retainer.
No. We don't send your data to train public AI models. Work happens inside your existing environment — typically Microsoft 365 and the systems you already govern — with least-privilege access and human approval on anything that writes back to a business system.
No. We connect the systems you already use — your CRM, ERP, accounting, and email — instead of ripping them out. AI Operations works with the tools you've already paid for and trained your team on.
During the Assessment, we look at where work is repetitive, error-prone, or stuck in one person's inbox, and weigh that against the effort to automate it. You get a prioritized list — what to automate first, what to augment with AI, and what stays human — plus hands-on training for your team, not a generic list of AI use cases.