AI integration work
The five kinds of work we get called in for
Every one of these is labour and judgement, not a product with a licence key. You buy the platforms directly from the vendors, in your own name. We help you pick them, connect them to what you already run, and keep them running.
These five pages describe kinds of work, not products you can buy. Leverage Automated is hired for the labour and the judgement: deciding what is worth building, building it inside your environment, and operating it afterwards. The software underneath — models, automation platforms, telephony — you buy directly from those vendors, on accounts in your name, at what they actually charge. If you are looking for a packaged product with a licence key, we do not have one to sell you.
Reviewed by Mat Wolfley, founder, Leverage Automated.
Building agents
AI agent development
Agents built against whichever model and platform actually fit the problem, connected to the systems you already run, and operated in production rather than handed to your team as a repository and a wish of good luck.
Explore AI agent development →Deciding what to build
AI readiness assessment
Two weeks, fixed scope. Which processes are worth automating, what each one touches, where they would fail, and what to build first — including the honest answer if that answer is not yet.
Explore the assessment →Getting it into production
AI workflow automation
The unglamorous distance between a pilot that worked once and a process the business can depend on — built on the automation platform that fits your stack, not the one we happen to know best.
Explore AI workflow automation →Answering from your own material
AI knowledge assistants
Assistants grounded in your own approved documents, with citations and an honest handoff to a person when they do not know. A local-model build is available where the material cannot leave your network.
Explore AI knowledge assistants →When the surface is a phone call
AI voice agents
Voice integrated into the calling platform you already run, on telephony accounts in your name — for the cases where a phone call is genuinely the right surface, and an honest read on when it is not.
Explore AI voice agents →This is not a menu to choose from. It is the shape the work usually takes — most engagements begin with one of these and end up touching two or three.
We sell the work. You own the system.
We have no platform of our own to defend and we resell nothing, which is the whole reason our recommendation is worth having. You open the vendor accounts and you see exactly what the models cost, because those bills come to you at what the vendor charges. We choose, we build, and we operate it for whoever owns the relationship — you, or the MSP who brought us in. End the engagement and everything keeps running, because it was never ours to switch off.
A Pro IT NW company · Seattle · serving mid-market teams (50+ employees) nationwide.
Questions, answered honestly
Choosing between the five
Which of these do we actually need?
Usually fewer than you would guess, and the honest answer often starts with the assessment rather than a build. Most companies arrive naming the thing they want built and leave having built something adjacent to it, because the bottleneck turned out to be a step earlier in the process. If you already know exactly what you want, say so and Leverage Automated will scope that instead — there is no rule that you have to buy a diagnosis first.
Do we have to buy a platform from you?
No, and there is nothing to buy. Every one of these five is labour and judgement rather than a product with a licence key. You open the model, telephony and automation accounts in your own name, you pay those vendors directly at what they actually charge, and Leverage Automated takes no margin on any of it. It is the same shape as bringing someone in to upgrade a server: the licences are yours, the work is what you are paying for.
What does an engagement cost?
It is quoted after a short call, and there is deliberately no rate card. The number moves with how many processes are in scope, how many systems they cross, the condition of the data, and which engineers the work actually needs — so a headline figure would be wrong for most of the people reading it. The scope and the timeline are fixed before you commit.
Can you do more than one of these at the same time?
Yes, and it is common, but not on day one. The work that lasts tends to start with one process, in production, with a named owner — then extends once that one is genuinely working rather than merely demoed. Running four streams in parallel before any of them has survived contact with a Tuesday is the most reliable way to end up with four half-built systems.
What if the answer is that none of this is worth doing?
Then that is the answer you get, in writing, with the reasons. A process that varies by whoever is doing it, data that lives in an inbox, or a system with no usable API are all real blockers, and no amount of AI fixes any of them. Being told not to build something is a cheaper outcome than discovering it four months into a build.
Ask before you commit to anything
Tell us the bottleneck. We will tell you whether it is worth automating.
Send one question by email and you will get a straight answer back, not a deck and not a sequence. If the honest answer is that the thing you are being asked about is not worth building yet, that is the answer you will get — in writing, so you can forward it.