Distinct practices that fit together — picked based on what you actually need.

Every company we’ve worked with tells us the same thing: “email is the worst part of my job.” The problem is email apps aren’t built to solve just your problems, so they only ever give you so much. We built something unique — an email-native AI assistant your team runs right from one app. It learns from how you reply to emails, understands who you need to keep in contact with, and learns what matters most to make sure nothing gets missed again. Bespoke-built to your workflows and hosted on our infrastructure.

The MC² Email Assistant turns your email app into a control surface. Assign tasks, set reminders, and have the assistant draft an email using your style of writing. You review, modify where needed, and approve. Nothing goes out until you say so, and every drafted and approved action lands in an audit trail. This is human-in-the-loop governance as the feature, not a disclaimer bolted on afterward. Each build is spec’d to how your team actually works: we run discovery, provision a dedicated assistant address (or wire up your own domain), and stand up the multi-tenant infrastructure on our end so you never touch a server. We’re onboarding early-access clients now — the first step is a short intake call to map the workflows worth automating.

Most operational pain isn't a tooling problem — it's a fit problem. The CRM that worked fine for the founders breaks when the team they're hiring next tries to use it. The reporting was right for last quarter but doesn't surface this quarter's question. We start by watching how the work actually happens, not by demoing software. The deliverable isn't a vendor recommendation; it's a system your team can run.

Most AI conversations start with the model and end in a Slack channel of half-deployed pilots. We start with the work — where the time is actually leaking, where the judgment calls don't need to be human, and where the brand voice does. Then we cost the options against each other: build, buy, or skip. The deliverable is a short list of pilots with success criteria and a kill date attached, plus the policy and training to put them in your team's hands. Sometimes the right answer is "not yet" — and that still beats the wrong rollout.

Marketing engines that compound look boring at first — a clear story, a measurable funnel, and the willingness to test instead of relaunch. The teams that get there don't have better campaigns; they have better feedback loops. We work in two modes: strategy sprints when you need a clean look at the funnel and channel mix, or embedded fractional support when you need a marketing brain in the room every week. Either way the work is hands-on; reports come with the next week's plan attached.

Social that compounds isn't a posting calendar — it's a campaign with a number attached and a feedback loop tight enough to learn from. We run the whole thing on a straightforward monthly retainer: strategy, content, publishing, and community management in one hands-on engagement, so the channel actually ladders up to pipeline instead of just staying busy. You approve what goes out; we handle the rest and bring the next month's plan stapled to the last month's report. When paid boosts or ad campaigns earn their place, we run those too — measured against the same goal, not vanity metrics.

We build the site that fits the team maintaining it after launch, not the one that wins a portfolio award. Sometimes that's Next.js + Sanity with an embedded studio so non-engineers can ship copy changes; sometimes it's Webflow because that's where your marketing lead is comfortable. The wrong answer is a stack that punishes the people updating it once a quarter. Every build starts with the user journey and works back to the design system — conversion goals, SEO, accessibility, and performance are part of the spec, not the post-launch backlog.