We work with mid-market businesses on three kinds of engagements. Most relationships start with one and grow into others.
Discover
You're deciding what to do. We help you decide well. A typical engagement is a 2–3 week AI Readiness Assessment. We audit your current stack, map AI opportunities to specific business outcomes, identify which SaaS subscriptions are candidates for replacement, and produce a 6-month roadmap with build-vs-buy guidance and rough cost framing. The deliverable is a document your team can act on without us — and a clear path forward if you decide to act with us. Other strategy work: vendor evaluations, architecture reviews, compliance mapping for HIPAA / SOC 2 / GDPR, and second-opinion engagements when you've already received vendor proposals and want an independent read. You're a fit for this if your team is AI-curious but you don't yet have a clear picture of where AI fits in your operation, what to build versus buy, or what it would actually cost.
You're ready to build something specific. We build it. Engagements typically run 4–16 weeks against a fixed scope. The work falls into a few patterns: replacing a specific SaaS subscription with a local proprietary application; building a custom AI workflow that automates a recurring business process; deploying local LLMs and multi-agent systems on your infrastructure; and integrating AI capability into existing systems. We also build AI-powered community and membership platforms from productized starting points — verticals for health, media, education, and organizational use cases. These engagements are larger and longer than typical builds, with platform licensing, dedicated onboarding, and ongoing managed operations. One contract, one accountable team, no subcontractor handoffs. The stack we deploy is the stack we run ourselves — local LLMs in production, multi-agent orchestration, workflow automation, image generation pipelines. Most builds are scoped to a single business problem — the executive dashboard you've been wanting, the support workflow your team is drowning in, the document-processing system that would save your operations team twenty hours a week. We do not bill hourly against undefined scope. You're a fit for this if you have a specific business problem you want AI to solve and you want the system you end up with to be yours, not rented.
You want outcomes without operational overhead. We've built proprietary applications for our own operation, replacing SaaS subscriptions we used to pay for. Many of them are available for licensed deployment in your environment. The current licensable inventory includes notes and knowledge management, executive dashboards and business intelligence, internal CRM, expense management for multi-business owners, HR and onboarding, prompt engineering tools, infrastructure monitoring, and workflow orchestration. Each application can be deployed standalone or integrated with the others. A licensed deployment includes the application running on your infrastructure, integrated with your systems, with optional ongoing operations on top: monitoring, updates, security patching, capacity planning, and improvement cycles. This is the path for organizations that want the productivity of well-built internal tools without the headcount required to build them from scratch. You're a fit for this if you're tired of paying SaaS subscription fees, you want full control of your data, and you'd rather pay once and license than rent indefinitely.