Agents that do the work your team shouldn't.
We build AI agents into the processes you already run: intake, scheduling, invoicing, ticket triage, document handling. They work inside your systems, with your permissions, and they stop and ask when they're unsure.
AI automation and application development, by engineers who built medical AI from scratch.
New patient record
- Name
- Jordan Alvarez
- Requested
- Tue Nov 10 · 2:30 pm
- Referral
- Dr. Okafor · fax 10/27
- Insurance
- Horizon BCBS · PPO
- Auth on file
- None found
Every action, logged
- 08:14:02new email · intake form attached (pdf)
- 08:14:03read form · 5 fields · confidence 0.98
- 08:14:04record created in practice system · #40217
- 08:14:04payer rules · prior auth required
- 08:14:05stopped · asked Priya before booking
- 08:31:12Priya approved · booked Nov 10 · notified
Before and after, on a process every business has.
Invoice intake, shown as a person does it on Tuesdays and as an agent does it every day. The exception on the right is the point: it stopped and asked.
- 01Open shared inbox, find vendor emails
- 02Download each PDF attachment
- 03Rename and file in the right folder
- 04Open QuickBooks, create the bill
- 05Type vendor, amount, due date, GL code
- 06Find the matching PO in the spreadsheet
- 07Compare totals by eye
- 08Email the approver, wait
- 09Chase the approver on Thursday
- 10Mark paid, update the spreadsheet
≈ 3 hours a week · sample timing, varies by business
- 09:41:02new invoice from vendor@acmesupply.com (pdf)
- 09:41:03extracted: $2,418.00 · due 11/15 · GL 6120
- 09:41:04matched PO 2219 · totals agree
- 09:41:05bill created in QuickBooks · filed to /AP/2026-10
- 09:41:05approval request sent to Dana (over $2,000 rule)
- 10:12:40Dana approved from phone · scheduled for payment
- 09:52:11#4472 vendor total ≠ PO by $140 → held, asked Dana
every action logged · exceptions go to a person
Sample run from our own operations. We will measure yours before we build anything.
How an agent is built here.
Four parts, in this order, every time. The permissions and the review queue are not optional extras; they are what makes it safe to run.
- 01
Your systems
QuickBooks, Microsoft 365, your EMR or CRM. Data stays where it lives.
- 02
Permissions & guardrails
The agent gets a named account with only the access the task needs.
- 03
The agent
Reads, decides, acts. Nothing is sent to a model that your policy says cannot leave.
- 04
Human review
Exceptions and anything over a threshold wait for a person. Every action is logged.
Where data lives. In your systems. The agent connects to them; it does not copy them.
What is logged. Every read, decision, and write, with a timestamp and the rule that applied.
What never goes to a model. Whatever your policy names: card numbers, health details, or everything, in which case the model runs where you say.
What we automate first, and what we'd leave alone.
Good first candidates share three traits: they run often, they follow rules, and a person already checks the output. Here are the usual suspects in a 10 to 100 person business.
Invoice and bill intake
Structured documents, clear rules, a human approver already exists.
Customer or patient intake
Forms and emails that someone re-types into a system every day.
Scheduling and reminders
Repetitive, time-sensitive, and the cost of a miss is obvious.
Helpdesk and request triage
Most tickets fall into a handful of patterns with known fixes.
Follow-ups and status updates
The emails that never get sent because nobody has time.
Reports assembled by hand
Same spreadsheet, same sources, every Monday morning.
And the ones we'd leave alone
- Anything where a wrong answer is expensive and hard to catch, like final pricing or clinical judgment
- Processes that only run a few times a year
- Work that depends on a relationship, not a rule
- Anything your policy says cannot leave your environment, until the environment allows it
Not everything should be automated. Part of every AI conversation is this list, and why.
What would we automate first in your business?
Answer five questions and get our honest first pick, the reason, and what we would say about the thing that worries you. No email needed for the answer.
Like the answer? Bring it to AI Office Hours with Mark, Thursdays, 1 to 3 PM Eastern, and it becomes a one-page plan with a number on it.
Question 1 of 5
What kind of business?
No email needed for the answer. Prefer to just ask? Book AI Office Hours.
Automation is the middle step.
Most clients start with the AI they already pay for and end with something built. Both are the same engineers.
Readiness
step 3 of 5
- SharePoint permissions reviewed
- Sensitivity labels on finance & HR
- Copilot licenses assigned (12 of 40)
- Team training from your own documents
- AI acceptable-use policy signed
Copilot, set up to be used.
Copilot only pays off if your team uses it, and it is only safe if your permissions are right first. We check both, then train from your own documents and your own meetings, and hand you an AI acceptable-use policy your staff will actually sign.
Daily note · 10/24
Pt. tolerated manual therapy well, 2 units. Therapeutic exercise 3 units, progressed to resisted band work...
AI check
Timed units exceed the payer's 8-minute rule for this visit length.
source: payer policy PT-114, eff. 2024-11
Custom AI application development, when nothing off the shelf fits.
For outpatient therapy practices we built medical AI that checks every clinical note against the payer's published rules before it is signed and cites the policy it used. Full applications, built from scratch and owned by the client, with the same permissions and logging discipline as our agents. Document chatbots, intake systems, internal tools: if it needs to exist and nobody sells it, we build it.
How an engagement runs.
Fixed phases, a written number before each one, and a stopping point you control.
- 1
A conversation
Thirty minutes. You describe the week; we ask what eats it. No slides, no pitch.
- 2
A short written read
Your top three candidate processes, each with a build estimate, a no-build alternative, and how it would connect to your systems. A clear go or no-go.
- 3
One automation in production
Built inside your systems, with permissions, logging, and a human checkpoint. Live in weeks, with your team trained on it.
- 4
A thirty-day check-in
What it saved, what it flagged, what to fix. Then the next two candidates, or stop. You own everything we built either way.
This page has an agent on it.
GitoBot is built the way we build for clients: grounded in real content, honest about what it doesn't know, and able to hand you to a person. Ask it what we'd automate first in your business.
GitoBot
Built by GitoTech's engineers. Answers in plain English, hands you to a human when it should.
What people ask before they let an agent near their business.
- What happens to our data?
- It stays in your systems. The agent reads and writes through accounts you control, with only the access the task needs. We document exactly what is sent to a model and what never leaves, and we design around your policy, not the other way around.
- What if it makes a mistake?
- Every action is logged, so you can see what it did and why. Anything above a threshold you set, or anything the agent is unsure about, stops and waits for a person. The first weeks run with a human reviewing more, and the threshold moves only when you say so.
- Do we own it?
- Yes. The code, the configuration, and the documentation are yours. If you ever stop working with us, it keeps running and the next engineer can read it.
- What does it cost?
- AI work runs in fixed phases with a written quote before each one: the read, then the first automation, then each additional one. No open-ended hourly engagements, and no payment plans. The conversation and the read come first, so you know the number before anything is built.
- Do you build full applications, or only automations?
- Both. Application development is a core service. When the process needs software that does not exist, we build it from scratch: medical AI for outpatient therapy, document chatbots that answer only from your files, intake and follow-up systems, internal tools. Same engineers, same fixed phases, same rule that you own the code.
- How is this different from just turning on Copilot?
- Copilot is a tool your team uses; an agent is a worker that runs a process without being asked. Most clients want both. We set up Copilot so it is safe and actually used, and we build agents for the handful of processes that should run themselves.