AI agent development that reaches production

What an AI agent actually is

An AI agent is software that does one repeating job from start to finish. It reads the request, does the steps, and writes the result back into the tools your team already uses: the inbox, the CRM, the spreadsheet, the accounting system, WhatsApp.

That is the whole idea. It is not a chat window on your website. A chatbot answers a question and stops. An agent finishes the task. It chases the invoice, it files the note, it builds the first draft of the report, and it tells a person when something needs a human decision.

The gain is quiet and real: your team gets hours back every week, and those hours go to the work only people can do. The care, the judgment, the relationships.

Agents do the busywork. Your team makes the calls.

You buy the outcome, not the automation.

Work arrives: an email comes in, a WhatsApp message, a form is filled in. Agents work around the clock: they answer the repeat questions, draft the reply and the report, update the records, and chase what's overdue. Your team always reviews, decides, and sends. The outcome: hours back, every week.

Measured on: hours back, cost per task, reply time.

Already paying for a pilot that stalled? Start with the Vendor Review →

What AI agent development actually involves

When people go looking for AI agent development services, they are usually buying one of two things: a demo to show a board, or a job that gets done every week without anyone watching. We only sell the second. The model is now the easy part. The hard part is everything around it.

The demo worked. Production is where it stalls. We own that gap.

Where this leads. An agent built inside your accounts, from $5,000, fixed after the review.

Talk to us

Why most projects die between the demo and production

Four things kill agent projects. None of them is the model.

The wiring. The agent has to reach the real systems: logins, permissions, the finance tool with no proper connection, the record that lives in two places. This is most of the work, and it is the part nobody puts in a demo.

The messy real data. Your records have duplicate customers, three spellings of the same name, blank fields, a scanned document sitting sideways. Demo data has none of that. An agent that was never tested on your real mess will guess, and guessing is how trust dies in week two.

Nobody trained. The team was not part of the build, so they keep doing the job by hand just in case. Adoption is not a launch email. It is training, a written page, and a named owner.

No one watching. Tools change. A form gains a field, a login expires, a supplier updates their system. Without someone who watches and fixes it, a working agent quietly stops working, and nobody notices for a month.

A related risk shows up even earlier: shadow AI, the tools your team already uses that nobody signed off. Build the one agent that matters, in the open, and you stop needing to guess what people are already doing instead.

We wrote a longer piece on this: Everyone's buying AI. Almost nobody's shipping it.

AI agents for business: the jobs they are good at today

Sort by the job, not by the technology. These are the back office jobs where the steps repeat, the rules can be written down, and a person still signs off on anything that matters.

Money in

Getting paid, without the chasing

Chasing overdue invoices on a schedule, politely, and handing the awkward ones to a person
Turning meeting notes into CRM records after a call, so nobody retypes anything
Capturing quote and order details from email into one place

Customers

Answering fast, at the hours you cannot cover

First line answers on WhatsApp or Messenger, with a clean handover to a human
Sorting support tickets by type and urgency, then routing them to the right person
Follow ups that do not get forgotten when the week gets busy

Admin

The work that eats Fridays

Onboarding checklists for a new staff member or a new client, start to finish
Document and policy lookup: what does our travel policy actually say
Data clean up: duplicates, formats, missing fields, lists that drifted apart

Reporting

A draft on your desk, not a blank page

Assembling the monthly or funder report from the systems that hold the numbers
Pulling the same figures the same way every time, so the numbers agree
Flagging what changed since last month, in plain language

The honest other half: agents are poor at judgment calls, at anything with no written rule, and at situations where being wrong is expensive and hard to undo. Those stay with your people, with the agent doing the fetching and the drafting underneath them.

What we can prove today

We will not show you an agent we built for somebody else and let you assume it is running your kind of work. Where we have no cleared number, we tell you the scope and give no number at all.

What is true is this. We have built and run systems in production for an international NGO working across four countries, under contract, with real staff using them every day. Agents that read, tabulate and draft sit inside that work, with a person signing off every line.

Measurement is part of what we do. As technical and digital strategy partner to 17 Triggers, on a World Health Organization program in Cambodia, average public knowledge of antibiotic resistance moved from 5 out of 7 to 6 out of 7, measured before and after. 17 Triggers led that work.

And in our own venture, Munchies, the catalog is synced across Shopify and Facebook Shop into an ordering chatbot. That is scope, not a result, so we attach no number to it.

How we build them

One method, four stages: Diagnose, Install, Train, Run.

Step one

Diagnose

We start with one painful repeating task, chosen by hours lost and money leaking, not by how clever it would look in a slide. Often the first finding is that you do not need an agent for it at all: a setting in software you already pay for, or removing a step, is cheaper.

Step two

Install

We wire it into the tools you already pay for and test it on your real data, mess included. A human stays in the loop wherever it matters: the agent drafts, a person approves anything that touches money, a customer, or a record that is hard to undo.

Step three

Train

Your team learns the new way the work moves, in their own language, with a written page they can keep. One person is named as the owner. Knowledge that only lives in our heads is not installed, it is rented.

Step four

Run

Somebody watches it. When a tool changes we fix it, we tune what it does as the work shifts, and you get a short monthly note on how it is doing. Then, when you want it, your team runs it and we stay on call.

Agents are a means, not the product. You buy the outcome: the invoices chased, the report drafted, the hours returned to your team. We are not an agency that sells agents. We are a systems partner that uses them to deliver, and we would rather install one small thing that runs for years than ten that impress for a week.

What it costs

We do not publish a price for an agent, because your task, your data, and your tools decide the size of it, and a made up number would only be wrong. What we do publish is the door in and the shape of the money after it. Agent work is scoped from the review, then quoted as a fixed fee before any work starts. The gap between the demo and production is the job, and it's priced.

The AI Review

Inside a week, read only. We look inside the systems and providers you already pay, and give you one written page: keep, fix, renew. You know the price, the dates and the deliverable before we start, and none of the three moves. That is where the risk sits: with us, in the fixed fee, not in a guarantee neither of us could measure.

from $1,500

The build

Every install is a fixed fee, priced before work starts, scoped from what the review found. No hourly billing and no surprise at the end.

Quoted after the review

One process, for a small team

The review, then a fixed-fee install for a single process or an ops system, quoted from what it found, then care to keep it running.

$490 a month care

Membership

Ongoing decisions, covered every month. $4,000: one vendor decision reviewed, two strategy calls. $6,000: two active workstreams, a monthly systems review. $11,000: every technology decision covered, systems kept current, nothing waits on you.

$4,000 / $6,000 / $11,000 a month

If you would rather train your own team to run this work, we do that too: a half day at $3,000, or a full day at $5,500.

Already paying for a pilot that stalled?

Start with the Vendor Review: a week inside the systems and providers you already pay, and one written page that says what to keep, fix, and renew. from $1,500.

Start with the Vendor Review

Whatever it finds, we fix it at a fixed price: an install, an agent, a system, or we hand it to a partner. Most clients then keep it covered, Ops care at $490 a month or membership from $4,000, so nothing drifts after we hand it over.

Questions people ask.

Is an agent just a chatbot?

No. A chatbot answers a question and stops. An agent finishes a job: it takes the steps, updates the systems, and only comes back to a person when a decision is needed.

What does this mean for our team?

They get their time back. We build agents to take the repeating work off people's desks, so the hours go to the work only people can do: the care, the judgment, the relationships. We would not sell it any other way.

Which tools do you build on?

The ones you already pay for. Microsoft 365, HubSpot and other CRMs, Shopify, WhatsApp and Messenger, Google Workspace, your accounting system. New tools are a cost and a training job, so we add one only when nothing you own can do it.

Who owns the agent when it is built?

You do. The accounts, the data, and the written documentation are yours. We build inside your systems, not on a platform that holds you.

What happens when it gets something wrong?

A person approves anything that touches money, a customer, or a record that is hard to undo. Every action is logged, so you can see what it did and when. When something breaks, fixing it is part of the monthly plan, not a new quote.

How long does one take?

A first agent is usually weeks, not quarters. You get a date alongside the fixed fee, before you commit to anything.

What if we do not need an agent?

Then we will tell you. Sometimes the honest answer is a setting in your existing software, one clear form, or deleting a step nobody needed. We would rather be the person who saved you the project.

An agent that works on a normal Tuesday, not just in the demo.