The busywork eating your team’s week. Run by systems, signed off by people.

AI automation services build software systems that carry out repetitive business work using AI agents instead of manual effort. At TechDevs that means three production systems: a multi-agent content engine that researches and publishes articles, an outbound agent that finds prospects and books meetings, and operations dashboards that consolidate a business into one screen with next-best-action advice. Each system keeps a human approval step; nothing runs fully unsupervised.

They are deployed and in production. The content engine runs on this very website. The outbound agent runs for TechDevs and three client sales teams. The operations dashboard was built for a 70+ location retail brand and has since been productized. We build for reliability, not demos.

A single developer can build one workflow. An AI automation agency brings the patterns already proven across content, outbound, and operations, plus the founder-led design that keeps a human in control of every system. Prasad, our CTO, leads the engineering on every engagement, backed by a team he trained.

Yes. Every pipeline includes a human review gate, and you own the infrastructure once it ships. We document it, train your team, and stay on to extend it. You are never locked into a black box you cannot audit.

AI work is priced as a build plus a running fee: a one-time cost to design and ship the system, then a smaller ongoing fee to operate and improve it. The build cost is driven by how many systems are involved, how many tools they connect, and the volume they process. We scope it on a first call and give you a real range rather than publishing a grid.

The good candidates are high-volume, rule-heavy and light on judgement — the same steps repeated many times a week. If a process runs a handful of times a month, the build cost will not clear the hours it saves, and we will say so rather than sell it. That is why the first thing we do is measure what the manual work actually costs today.

In our experience it removes the coordination work rather than the people. The content engine cut human time per article from around ten hours to roughly thirty-five minutes, and the same team then shipped sixteen times more content — the job changed from assembling to judging. Every system we ship has a human approval gate for exactly that reason.

It will, which is why nothing reaches a customer or the public web without a person approving it. Systems are also instrumented with logging and alerting so a failure surfaces to you rather than to your client. Fully autonomous output with no review is where these projects fail publicly, and we do not build it that way.

Either, and it is worth deciding at the start because it changes how the system is built. We can operate it on a running fee, or document it and train your team to own it outright. A system built to be handed over needs more documentation and fewer bespoke shortcuts than one we will be running ourselves.

Scoping takes one to two weeks, the build typically three to six, and a narrow pilot on live data another couple after that. Most of the remaining work appears during the pilot, because real accounts contain malformed records that curated test data never does. Widening to full volume usually lands around months three to four.