AI automation for teams that want work done, not just routed
We build AI agents that take real actions inside your tools: reading a request, deciding what to do, and finishing the task. FoundrySoft is an AI development studio in India working with US companies, so you get senior engineers, real time zone overlap, and software you fully own.
What AI automation can and can't do
The useful version of AI automation is narrow and specific. An agent reads an incoming invoice, pulls out the vendor, amount, and due date, checks it against the purchase order, and either files it or flags the mismatch for a human. It handles the variation that used to need a person reading carefully. That is where it earns its keep.
It is less good at things people sometimes hope for. It will not run your whole company, it will not be right every single time, and it should not be trusted with irreversible actions until you have watched it work. We treat it as a sharp tool for well-defined jobs, not a replacement for judgment on the jobs that actually need judgment.
The honest comparison with no-code tools matters here. Zapier and n8n are great when the steps never change: when this form is submitted, create that row, send that message. The moment a step requires reading something unstructured and deciding what it means, those tools start to strain and you end up with brittle chains of filters. That decision layer is exactly what an AI agent is for, and we often run one inside an n8n or Zapier flow rather than replacing it.
The processes worth automating first
Good first candidates share a few traits. They happen often, they follow a rough pattern with annoying exceptions, and someone can clearly say whether the result was right. Back-office work tends to fit: accounts payable, order intake, support triage, lead enrichment, contract review, onboarding paperwork, and the daily reporting that someone assembles by hand.
I usually steer the first project toward a process with one clear owner and a number attached, like hours spent per week or tickets sitting in a queue. A single well-chosen workflow that ships and sticks teaches you more than a sprawling plan that tries to fix everything at once. Once one is running and trusted, the second is much faster, because the hard parts of access, logging, and approval are already solved.
What we build
We build agents that connect to the systems you already use: your inbox, your CRM, your ticketing tool, your database, your accounting software. The agent reads the relevant context, does the reasoning, and then takes an action through an API or a controlled integration. Around that, we add the parts that make it safe to run in production: logging of every decision, retries when an external service fails, and a clear record of what the agent did and why.
Where a no-code platform already does part of the job, we use it. Where the logic is custom or the volume is high, we write real software. The result is a workflow you can read, test, and change, not a black box that only we understand.
How we work, with humans on the risky steps
Every workflow gets sorted into steps that are safe to run alone and steps that need a person to confirm. Reading data, summarizing it, and drafting a response are low risk. Spending money, contacting a customer, deleting records, or changing anything you cannot easily undo starts behind an approval gate.
Early on, the approval gate is wide: a person reviews most of what the agent proposes. As you watch it perform and trust grows, you open the gate on the steps that have proven reliable, while keeping the genuinely dangerous ones supervised for as long as you like. You stay in control of where automation ends and a human begins, and that line is a setting, not a rebuild.
Why FoundrySoft
We are a small team of senior engineers, which means the person scoping your workflow is the same person building it. We keep working overlap with US time zones, so demos, decisions, and fixes happen in conversation rather than across a day-long delay. You own everything we produce outright, with no licensing strings attached.
We also move in weeks rather than months. The first workflow ships early so you can judge it against real work, and we expand from there based on what actually helped. If something is not worth automating, we will tell you, because a tool that nobody trusts is worse than the manual process it replaced.
Frequently asked questions
How is AI automation different from Zapier or n8n?
Zapier and n8n move data between apps along fixed rules. They work well when every step is predictable. AI automation adds judgment: it can read a messy email, decide which of six categories it belongs to, draft a reply, and decide whether a human needs to look before it sends. We often use both together, with the no-code tool handling plumbing and an AI agent handling the parts that used to need a person.
Will an AI agent make decisions without anyone checking?
Only where you want it to. We classify each step as safe to run on its own or risky enough to need approval. Sending an internal Slack summary can run unattended. Issuing a refund, emailing a customer, or changing a record in your system of record routes to a person first until you have enough evidence to trust it. You decide where that line sits, and you can move it later.
How long does a first automation take to build?
Most first workflows are live in a few weeks, not months. We pick one process with a clear owner and a measurable outcome, ship a working version, then expand. You see something running early instead of waiting for a big launch.
Who owns the code and the prompts you write?
You do. You get 100 percent of the intellectual property: the code, the prompts, the infrastructure config, and the documentation. Nothing is locked to us, and you can take it in-house or to another team whenever you want.
Do you work in US business hours from India?
Yes. We keep real overlap with US time zones for standups, demos, and quick decisions, so you are not waiting a full day for a reply. Most async work happens overnight your time, which means you often wake up to progress.