Process mapping first
Documenting how the work actually happens before automating a version of it.
AI Automation Agency
Choosing an AI automation agency, and what to ask first.
An AI automation agency for businesses worldwide. Most automation projects fail on process mapping rather than technology, so this page covers what separates an agency that ships from one that demos, including how we price and what you end up owning.
An AI automation agency designs and builds systems that carry repetitive work across your existing tools without a person driving each step. The technology is rarely the hard part. What decides whether an automation project pays back is whether the process was mapped properly before anything was built, whether the tooling belongs to you afterwards, and whether someone stays accountable when an edge case breaks it at 2am. Logical Dot Tech builds automation for clients worldwide and hands over systems you own outright.
Why automation projects fail
Very few automation projects fail because the technology could not do it. They fail because the process being automated was never properly understood, so the automation handles the version described in a meeting rather than the version that actually happens, complete with exceptions nobody mentioned.
- Automating the wrong process: speeding up work that should have been eliminated.
- Undocumented exceptions: the fifteen percent of cases that break every assumption.
- No failure path: when a step fails silently and nobody notices for a week.
- Vendor lock-in: the system runs inside the agency's account, so leaving means rebuilding.
- No owner: built, handed over, and quietly abandoned when the first thing changes.
Where AI belongs, and where it does not
A common and expensive mistake is putting a language model in the middle of a workflow that needed a database query. LLMs are probabilistic: brilliant at judgement, classification, and unstructured text, and a liability where you need the same input to produce the same output every time.
| Task | Right tool | Why |
|---|---|---|
| Reading a messy email into fields | LLM | Unstructured input, tolerant of variation |
| Deciding a support ticket's priority | LLM | Judgement from context |
| Calculating a price or tax | Plain code | Must be exact and repeatable |
| Moving a record between systems | Plain integration | No judgement involved |
| Summarising a call for the CRM | LLM | Language work, small error cost |
| Approving a refund | Human, AI-assisted | Consequences too high to delegate |
Build in-house, buy a tool, or hire an agency
All three are legitimate, and the right answer depends on how unusual your process is and whether you have engineering capacity to spare. We would rather tell you a tool covers it than sell you a build.
| Route | Works when | Falls down when |
|---|---|---|
| Off-the-shelf tool | Your process matches the tool's assumptions | You bend the process to fit the software |
| In-house build | You have engineers with spare capacity | Automation loses to product roadmap every sprint |
| Agency build | Process is specific and nobody internal is free | Nobody owns it after handover |
Tooling, and who holds the keys
Ask any automation agency where the system will run and whose account owns it. If workflows live inside the agency's workspace, you are renting your own operations, and the cost of leaving is a rebuild rather than a notice period.
We build in your accounts. Whether that is n8n, Make, Zapier, or custom code depends on the job: platforms are quicker for standard integrations, custom code wins where volume is high or logic is unusual. Either way the credentials, the workflows, and the data are yours from the first day.
How automation work is priced
Pricing models in this space vary widely and some are structured against your interests. Percentage-of-savings billing sounds aligned until you realise it rewards inflated baseline estimates. Per-workflow pricing encourages many small workflows where one well-designed system would serve better.
We quote fixed-price per project after scoping, with optional monthly support if you want us maintaining it. You see the scope and the number before committing, and if a cheaper off-the-shelf tool covers your case we will tell you that on the first call instead of quoting a build.
Who this suits
This work fits businesses with a repetitive process that is genuinely costing time, and enough volume for automation to pay back.
- Teams copying data between systems that were never designed to talk.
- Operations where the same decision is made dozens of times a week.
- Businesses whose growth is capped by admin rather than by demand.
- Companies that bought an automation tool and never got it working.
What's included
Everything you get, in one engagement.
Tooling you own
Built on platforms in your accounts, not locked inside ours.
AI where it earns its place
LLM steps for judgement, deterministic code for everything else.
Failure handling
Retries, alerts, and human fallback for the cases that will go wrong.
Measured payback
Hours saved and errors avoided, tracked against what the build cost.
Handover and documentation
Your team can maintain it, or we can, and that is your choice not ours.
How we work
A process that ships, not just plans.
01
Discover
We dig into your goals, market, and data to find the highest-leverage move.
02
Design
Strategy and architecture mapped before a line of code or a dollar of spend.
03
Build & Launch
We ship in tight sprints with weekly demos you can actually see.
04
Scale
We measure, optimize, and compound results month over month.
Good to know
Common questions.
That page explains what business automation is and how we build it. This one is for people choosing a supplier: how to tell a capable agency from a demo, what to ask about tooling ownership and pricing, and where these projects usually go wrong. Same work, different question.
Four questions separate most of them. Whose account will the system run in. What happens when a step fails at 2am. Can you show a process map before building. And would you tell me if an off-the-shelf tool solved this more cheaply. Vague answers to any of those are worth taking seriously.
Whichever fits the job. Platforms are faster and cheaper for standard integrations and easy for your team to adjust later. Custom code is better at high volume, unusual logic, or where per-task platform pricing would become expensive. We recommend based on your case, and everything runs in your accounts.
Fixed price per project, quoted after scoping, with optional monthly support if you want us maintaining it. We deliberately avoid percentage-of-savings pricing because it rewards inflating the baseline, and per-workflow pricing because it encourages building more workflows than the problem needs.
It will, so it is designed for that from the start: retries on transient failures, alerts to a real person when something needs attention, and a manual fallback path so work continues rather than queuing invisibly. Silent failure is the outcome we design hardest against.
Yes, and that is the default. You get documentation of what runs where, the credentials, and a walkthrough. On platform builds your team can usually adjust workflows themselves. If you would rather we maintain it, that is a support arrangement rather than a dependency you cannot exit.
For a well-chosen first process, typically within a few months, though it depends on how many hours the task consumes and how error-prone it is. We estimate payback during scoping and prefer starting with one process that clearly pays back over an ambitious programme that never quite lands.
Ready to get started?
Book a free 30-minute call and we'll map the first step.