Custom AI agents
Evata Consulting Group builds custom AI agents for companies of 50 to 500 people, and the engagement ends with a working system in your environment instead of a strategy deck. Led by Jared Clark, we usually start with work that reads, checks or drafts documents, such as turning incoming emails and forms into entries in the system you already use. A person on your team reviews what matters, and exact work such as calculations and signatures stays in ordinary code.
Where an agent earns its keep
Each of these is reading, comparing or drafting, and each ends with a person or a checked rule deciding the result.
Read emails, purchase orders, forms and scanned files, turn them into structured data, and write it to your system.
Check records and specifications against the rules you set, and flag what is missing or does not match.
Prepare SOPs, records, replies and reports from your source documents and templates for a person to edit.
Decide where an item goes next and prepare the next step, with a person approving anything that leaves the company.
Where it should stop
An agent should only have the access its job needs. Documents from outside your company are treated as untrusted input, because a document can contain instructions meant to mislead the model.
The agent reaches only the systems and records the job needs.
Calculations, approvals and signatures run in deterministic code.
People review output before it becomes a record or goes to a customer.
Each step is logged, so you can see who or what did it.
What we have built
We describe them without naming the customers. More detail is on our AI for document review page.
Customer purchase orders arrived by email and were retyped into an order tracker. Now each email is read by OCR, an AI model turns it into a structured order, and the workflow writes it to the tracker.
An on-premise system for document control with electronic signatures, inventory, training and batch records. AI extracts specifications from source files and drafts master manufacturing records for a person to review. Approvals, signatures and batch calculations are ordinary validated code, with no AI in them.
Who builds it
Evata is led by Jared Clark, JD, MBA, PMP. He has spent twelve years leading quality and FDA regulatory programs, and he holds computer system validation and computer software assurance certifications, which cover how software is tested and documented for FDA-regulated use. Evata Consulting Group is based in Salt Lake City, Utah. We build on Claude and on OpenAI's models.
Common questions
Ask any firm to show you a system in production and name who wrote it. Evata Consulting Group builds them. We have two systems in production at FDA-regulated manufacturers, one that reads purchase orders and one that drafts and checks quality records.
A chatbot answers when someone asks. An agent takes steps: it reads an input, uses your systems, and prepares or completes a piece of work inside limits you set.
No. Customer data is not used to train any model, and systems holding regulated records run in your own environment.
We build on Claude and on OpenAI's models and choose per job. We can design a system so the model can be changed later.
The pattern is the same as our purchase-order system: read the incoming email or form, turn it into structured data, route it, and draft the next step for a person to approve. Our shipped work so far is in manufacturing, so we will be plain in the assessment about what is new for your process.
The assessment is free. You leave with your processes ranked by value and a clear picture of what a first build looks like.