Measurement before tooling
No recommendation leaves here without a frequency, a duration, and a cost attached. If we can't quantify the problem, we haven't understood it yet, and buying software won't fix that.
About
A practice built around one boring question.
Where is the time actually going? Everything CH2 does follows from answering that honestly — mapping the real process, pricing the waste, and then removing it with the simplest thing that will keep working after we leave.
What CH2 is
CH2 is an automation and AI practice working with companies that have outgrown their manual processes but haven't yet reached the size where a full internal operations team makes sense. The work sits between the software you already own and the way your people actually get things done.
Most of what we remove isn't glamorous: re-entering data that already exists somewhere, chasing approvals, rebuilding the same report, assembling the same quote, reminding someone to follow up. Individually each of these costs minutes. Added up across a team and a year, they are usually the largest line item nobody has measured.
Why the name CH2
Carbon is the universal connector of the natural world. Paired with hydrogen, oxygen, nitrogen, phosphorus, and sulfur, it makes up 98% of all living matter on Earth — not because it's the flashiest element, but because it bonds with almost everything and holds structures together.
That's how we work. We find our way into your operations and your systems and make them work better — connecting the tools, teams, and processes you already have rather than asking you to adopt ours.
And CH2 specifically is the methylene unit — the repeating carbon-hydrogen backbone of hydrocarbons, the molecules that store massive amounts of energy. We think of each project the same way: small units of well-placed automation that compound into real capacity for your team.
What we are not is a plug-and-play software product you'll only use half of. There is no CH2 login, no seat license, no feature list to grow into. Everything we build runs in the platforms you already pay for, fitted to your process rather than your process bent to fit a platform.
How engagements run
We start by watching the work: shadowing, screen recordings, and a time inventory by role. That produces a map and an arithmetic case for change. From there we pick the highest-payback fixes, build them in your platforms, instrument them so failures are visible, and hand them over with documentation.
You'll hear specifics from us rather than promises. If a workflow isn't worth automating, we'll tell you that, and the diagnostic is still yours to keep.
Principles
Four rules we don't bend on
The smallest durable fix wins
A required field, a form wired to the CRM, or a rule that routes an approval often beats an elaborate build. We choose by payback and by how likely the fix is to still be running in two years.
Built to be inherited
Everything ships with monitoring, error alerting, and documentation written for whoever takes it over. A system only one consultant understands is a liability with good margins.
You own it outright
The automations run in your accounts, on your logins, in the platforms you already pay for. Nothing is hostage to a retainer, and you can walk away with everything working.
Point of view
What we've come to believe
Held loosely enough to be argued with, firmly enough to shape how every project is scoped.
Automation projects fail for process reasons, not technical ones.
The tooling is rarely the hard part. The hard part is that nobody has written down what actually happens, so the automation encodes a process that only exists on the org chart.
Speed comes from removing waiting, not from working faster.
Deals sit still in the gaps — waiting on an approval, a quote, a callback, a signature. Pushing the team harder doesn't touch those gaps. Rules and triggers do.
Headcount questions are usually capacity questions.
Before adding a role, it's worth knowing how many hours the current team spends on work a system should own. Often the hire is still right — but you'd know why.
AI belongs where judgment is cheap and volume is high.
Drafting, summarizing, classifying, researching, extracting. Not approvals, not pricing, not the customer relationship. Being specific about that boundary is most of the work.