Most organizations do not need a new platform to get value from AI. They need the systems, data and processes they already have to be in a state where AI can be trusted with them. We assess what you own, tell you plainly what it will and will not support, implement the parts that pay off, and put guardrails around the rest.
Every vendor now claims an AI feature and very few of those claims survive contact with real data. We work from your systems first and the buzzwords last. Start with a free consultation and we will tell you where you actually stand before anyone spends money.
A clear eyed review of your data, processes, security and governance against what AI features actually require. We scope it to your organization after a consultation, because a ten person nonprofit and a two hundred person firm do not need the same review.
Written policy your team can follow and your board can approve. Which tools are allowed, what data may go into them, who is accountable, and how to find the AI use already happening that nobody approved.
Building and running AI agents that do real work in production rather than demos. Architecture, guardrails, monitoring, backups and the unglamorous operational work that decides whether an agent is an asset or an incident.
Independent review of what a vendor's AI features really do, before you sign. We read the documentation, test the claims where we can, and tell you which parts are product and which are marketing.
AI is only as good as the data underneath it. We find the duplicates, gaps and missing fields that quietly break AI features, then put together a plan to fix them in priority order.
Practical AI for mission driven organizations, framed around capacity rather than headcount. Grant writing, donor communication, impact reporting, and the compliance questions your board will ask first.
