AI Solutions
Eco-Green Developers is the AI automation agency US companies hire to take repeated work off the team. Agents, chatbots, and workflow automation, with a person still owning the decisions that matter.
What we build
Pick the design that removes the most work. Hire dedicated developers for one of them, or for a first release that uses more than one.
01
Give a repeated process an intake, rules for the clear cases, and a clean handoff when a person should decide. The model is used where language or sorting actually saves time.
02
An agent handles one multi-step job with the tools you approve: look up a record, draft the note, file the request. The task stays narrow, so the outcome stays reliable.
03
A chatbot answers from your help content, product notes, and policies. When the answer is not in that material, the conversation moves to a person with the thread attached.
Process
We start with the people who do the job and a handful of real examples. That shows the happy path, the words customers use, and where a person should stay in charge.
You see who it is for, what it will do, and how a good outcome looks. The note is yours to sharpen before build starts.
Routine steps finish in software. Anything unusual lands with the role you name, tested against your own samples.
You receive source, configuration, and a short operating note. The queue after launch shows what the next release should learn.
Use cases
The best first processes happen often, are already understood by the people who do them, and get more valuable when the routine moves faster.
Send each incoming request to the queue that should see it, and keep a person on anything the rules should not guess.
Pull the fields you need from a standard document into the system you already use, and flag the pages a person should read.
Resolve the questions your help content already answers, and pass the rest to a teammate with the conversation attached.
Walk a staff member through one approved procedure, using only the tools named for that task.
Tech stack
The model is one part of the system. The rest is your content, your rules, and the products you already run.
Used for drafting, classification, and extraction, inside a process you can see.
Answers stay tied to documents you provide, so the source can be checked.
Forms, decisions, and a screen for the cases a person should handle.
The work connects to the website, inbox, or system of record you name.
Hosting follows the environment you approve, including AWS and Azure.
Each run keeps enough of a log to show why a step happened.
Platforms this team already builds with
Built for US teams
The people who learn the process are the people who ship the release and the one after it.
Calls and working sessions are booked on US Eastern or Pacific time, during the day your team already works.
Who it is for, what it will do, and how handover works are agreed in writing before the build.
FAQ
AI automation runs the whole process, from intake and rules through a review step and a record of what happened. An AI agent completes one multi-step job with the tools you approve. A chatbot answers from your own content and brings a person in when the answer is not there.
Routine work can finish in software, which is how the busywork gets off your team's plate. Cases you mark as sensitive or unusual wait for a named reviewer, with the full context attached. That review path is designed in from the start, so speed and judgment live in the same system.
Discovery calls and working sessions are booked on US Eastern or Pacific business hours, so your team meets during the day you already work. The developers on the call stay with the product through the release. You get a written scope before build starts, and a clear agenda for every session.
Tell us the process someone does today, who should review the exceptions, and whether a deadline already exists. A short note is enough. We reply with a next step, usually a call on US business hours, and we agree the first release in writing before the build begins. Sensitive data can stay limited to samples you choose.
Bring one process and a few real examples, including one that did not go smoothly. Name the person who can approve the first release. You do not need a finished specification. If the information is sensitive, say so up front so the samples stay small and the model runs where you are comfortable.
Next step
Tell us what someone does today, who should review the exceptions, and whether a deadline already exists. A short note is enough to start.