AI Agent Development That We Build, Run, and Get Paid On the Return

What you're actually buying isn't an agent

An agent is a thin layer: a prompt, a few tools, a model behind it. What decides whether it works — or fails silently in week three — is everything underneath. The data it reads. The actions it's allowed to take, and the ones it isn't. The confidence threshold below which it hands the case to a human instead of guessing. The dashboard that tells you whether it's earning its keep. Most "AI agent development companies" sell you the thin layer and a slide deck. It demos beautifully on clean test data, then meets your real records — duplicate accounts, stale fields, missing consent flags — and starts improvising. We build the layer underneath first. That's the unglamorous 80% that decides whether the agent is an asset or a liability you have to babysit.

Build is the cheap part. Run is where ROI lives

A working agent on day one is table stakes. The value shows up over the months it runs, in decisions you only see once real traffic hits it: catching the edge case that would have quoted a customer the wrong price, raising the handoff threshold so reps aren't drowning in low-confidence escalations, swapping to a cheaper model on the requests that don't need the expensive one. None of that is in the spec at kickoff — it surfaces in production. So we don't hand you a repo and a goodbye. We operate the agent: monitoring, evals on live cases, guardrail tuning, model swaps, on-call. A firm that builds it and walks away has no stake in whether it still works in Q3.

The fee is tied to the number, on purpose

• We agree on one metric before we build — speed-to-lead, cases auto-resolved, pipeline touched — and a baseline you can verify in your own org, not a number we report to ourselves.
• Part of our fee moves with that metric. If the agent doesn't move it, fixing that is our problem, not your sunk cost.
• This forces honesty up front: we'll tell you when an agent is the wrong tool, because we don't get paid for shipping software that doesn't pay back.
• It also kills scope theater — no eight-week discovery phase billed by the hour with nothing running at the end.

Built on Salesforce, because that's where the data and the actions already are

If your customers, cases, and pipeline live in Salesforce, the agent should too — not in a bolt-on tool that re-syncs your CRM at 2am and quietly drifts out of date. We build on Data Cloud and Agentforce so the agent reads the same records your team trusts and writes back into the same objects where the work happens — closing the case, updating the opportunity, logging the activity — instead of producing answers in a sidebar nobody acts on. Our founder was a Senior PM on the Agentforce team at Salesforce, so the platform's sharp edges aren't something we learn on your budget. This isn't a pitch for Salesforce, though: if it genuinely isn't the right home for a given use case, we'll say so.

Data-to-Agent: how the work is sequenced

• Agent Ready — unify and clean the data the agent depends on, define the metric and its baseline, set the guardrails and the exact human-handoff rule.
• Agent Launch — build the narrowest agent that moves that metric, ship it to production behind controls and an action allow-list, watch real traffic.
• Agent Scale — widen scope only once the first use case proves out, adding the actions and integrations the numbers actually justify.
• Agent Care — run it: monitoring, eval-driven tuning, model swaps, and a report that ties the agent's activity back to the agreed return.

Start narrow, prove it, then widen

The fastest way to waste a year is to build the agent that does everything at once. We start with one job that has a clear number attached — the way we did with Green Subsidy's solar engagement, where the agent's job was speed-to-lead: reach the inbound lead in seconds, not hours, before buying intent cooled. One job, one metric, in production. Once it earns trust on that, we add the next. You get a working asset in weeks and a verifiable reason to fund the next phase — instead of a moonshot you have to defend to your board with nothing live to point at.