Four services, delivered by senior engineers.

Remote and global. The bench spans four time zones; we work in whichever overlaps best with your team.

A contractor wins if you already have an engineering manager directing them and a stable written spec. A studio wins if you need the spec written for you, want fixed-price delivery, and can't afford the four-to-eight weeks a contractor needs to ramp on your stack. Most SMBs are in the second bucket and don't realise it until two months in.

Look for four things: senior-only delivery (no junior off-shoring), named integrations with your actual software stack (not generic "we use AI"), fixed-price after a written diagnosis, and a single point of contact who can scope and sign. Vertical-specialist boutiques beat generalist agencies when your software stack is non-standard — which it almost always is at the SMB level.

Start with a written diagnosis of your stack and workflows before any build. The common mistake is buying a tool first, then trying to retrofit a process around it. The right shape is: someone senior maps your current process, identifies the two or three highest-leverage automations, and scopes a fixed-price build against your existing software. That's what the Diagnosis Sprint does.

Three layers — capture (form, chat, voice), classify (qualifying logic and routing), respond (sending the right next-step to the right inbox). The cheap win is layer 3; most businesses gain a week of response time just by automating the reply. The compounding win is layer 2 — getting the right lead to the right person at the right urgency. Layer 1 is usually fine already; don't rebuild what works.

Four real options. A fractional CTO is good for governance, weak on delivery. A contract engineer is good for delivery, weak on direction. A senior studio offering AI solutions handles both — more expensive per hour, but lower total cost on a defined scope. A no-code automation shop is cheap but caps at simple workflows. Most SMBs over-index on cost per hour and under-index on total time to working system.

Three real disqualifiers we apply in every Diagnosis Sprint. First: the workflow happens fewer than 20 times a week — automation overhead never pays back at lower volumes. Second: the input data is unstructured and unfixable — garbage in, garbage out, no model fixes a data problem. Third: the human judgment in the loop is the actual product you're selling — automating it commoditises what you charge for. If any of these is true, we tell you and we don't take the engagement.