Three steps from AI-curious to AI-native.
- 01
Map
We trace the work as your team actually does it. Approvals, exceptions, handoffs, and the checks nobody wrote down. You leave with a short list of AI use cases, ranked by value and build effort, so the first build is worth the interruption.
- 02
Build
We turn that short list into software your team actually uses. Slack agents, internal tools, and dashboards that show what the AI did and what it saved. A person signs off on anything that touches customers or money, and we record the baseline before launch so you can see the ROI.
- 03
Run
Launch is the halfway point. We run what we build, watch how it holds up as your business changes, and fix what stops being right. You get a system that stays useful, and a team that needs us a little less with every workflow we hand over.
Everyone found the piece
Few play it right.
AI doesn't fix a broken process. It accelerates it. Drop it into workflows held together by spreadsheets and handoffs, and it scales the chaos. The win is the system around it. That is what Codi Tech builds. Approvals are built in, and the riskiest moves stay human.
Get the system right and it compounds. The hours come back first. Then it shows up in the numbers you already track, and your people still make every decision that matters.
AI moves fast.
So do the teams we build for.
We have spent years building the systems small and mid-sized companies run on. Not enterprises, by choice. At that size a decision takes a meeting, not a quarter. AI rewards exactly that speed, and it is how we have always worked.
Everything we build follows a playbook specific to your industry. Approval gates, guardrails, and an audit trail come standard. Our own agency runs the same way. Agents we built handle everything from intake to invoicing. We re-test everything when a new model comes out. We keep what holds up and drop what does not.
Enough people will sell you AI for everything. When we tell you a workflow can work this way, it is because ours already does. When one should not touch AI at all, we say that too.
Clients have a simpler name for it.
Absolute partners.
150+ systems built and still running.
1M+ users reached.
Thousands of hours saved.
Codi turned a complex agriculture workflow into a usable platform. They handled the hard software decisions, gave us time back, and kept the business moving.
Codi translated our operational goals into a scalable system with clearer handoffs and faster decisions. They felt less like a vendor and more like the transformation partner keeping the work moving.
Codi made a large platform build feel manageable. Their consultative process, clear detail, and bite-sized decisions kept momentum high and saved our team time at every step.
Codi raised the quality of the product without draining our time. They understood the business, handled the build, and kept us focused on the decisions that mattered.
Codi is the reason our company exists. They go beyond developers: true partners who understand our operations, build around our process, and give us the systems to move faster.
Know the board first.

The person behind Codi.
Codi is run by Lucas Bennington, who started the company in Los Angeles in 2023. He's the one who sets the strategy and stays close to the build, and he's been putting AI inside real company workflows from the start, including Codi's own. He'd rather hand you a working system than a slide about one.
Book a workflow audit and he's who you'll talk to first.
Make the first move.
Bring us the process that burns the most hours. We will map the constraints, build the first system with approvals wired in, and keep watch over the board while it compounds.
Book a workflow auditBuilt for companies of 10 to 250 people, where judgment is the edge.