Leads sit in the inbox until someone has a free minute.
By the time a person replies, the buyer has often booked a call with whoever answered first. Nobody is being lazy. The reply just keeps losing to everything else on the list.
Our AI automation services are for small and mid-sized teams who lose hours every week to repetitive sales, catalogue or content work inside tools they already pay for. We connect a language model to your CRM, inbox, Slack or store so the routine part runs on its own, while a person still approves anything a customer will see. You start with one workflow, see the before and after numbers, and then decide whether to expand.
Most teams who call us are not short of ideas for AI. They are short of hours, and the same few jobs eat those hours every week.
By the time a person replies, the buyer has often booked a call with whoever answered first. Nobody is being lazy. The reply just keeps losing to everything else on the list.
Order details, product specs and customer notes get retyped from email into the CRM, the store and the project board. Every copy is a chance for a mistake, and checking for mistakes becomes a job of its own.
Listings, briefs and reports queue up behind the one expert who can check them properly. Their week goes on checklists instead of the decisions only they can make, and when they are away the work stops.
A chatbot or a no-code flow went up in a weekend, gave a few strange answers, and the team quietly went back to doing it by hand. Now AI feels like a risk to manage rather than help.
We do not promise percentages before we have measured how your workflow runs today. Here is what is different once an automation is live, problem by problem.
Leads wait in the inbox
Rules filter spam first, code picks the most relevant example of your work, and the model writes a short reply with a booking link. Follow-ups go out on a schedule and stop as soon as someone books, unsubscribes or bounces, and your team still sees every lead in the tools they already watch.
The same details retyped everywhere
The automation reads the email, form or photo, fills structured fields that match your real categories and tags, and writes them into your CRM, store or project board through their APIs. Model output never feeds another system as loose text; it is checked against a fixed structure first.
Everything waits for one expert
Facts that must never be wrong, such as prices, links, categories and required fields, are set or checked by code and tests that run in minutes. Your expert receives a finished draft and spends their time on judgment instead of hunting for missing fields.
An AI tool nobody trusts
Every automation starts in shadow mode: it drafts, a person approves, and we tune it on what they change. It only takes on more once the drafts are consistently right, and anything customer-facing that is hard to undo stays a draft for a person to send.
You get working software in your own accounts, not a slide deck. Depending on the workflow, an engagement includes:
Time per case, rework and queue depth on the current process, recorded first, so the after numbers mean something.
Your CRM, email, Slack, ClickUp, Google Calendar, WordPress or WooCommerce, connected through their APIs and webhooks. No rip and replace.
Prompts and a strict output format built from your real categories, tags and rules, on the cheapest model that passes the quality check.
A review queue, Slack card or hidden draft where a person approves, edits or rejects before anything reaches a customer.
Tests that fail loudly when output breaks a rule, such as a price outside its band, a broken link or a product set live without review.
If the AI provider is unavailable, the workflow falls back to a template or a manual queue, and the output says which path produced it.
Failed jobs raise an alert instead of failing quietly, and you can see what each run costs, so heavy usage never becomes a surprise bill.
The code in your repository, plus a written record of decisions and known issues as symptom, cause and fix, so anyone can maintain it.
We choose one workflow with a named owner and one metric that decides go or no-go, then measure how it runs today. If nobody can name all three, we say so before any code is written.
We connect the automation to your existing tools and run it on a small slice of real work. It drafts, your team approves, and we tune it on what they change.
We publish the before and after numbers side by side. You then expand to the next workflow in the same system, adjust what is there, or stop.
These automations run for a client and for our own business today. Each one keeps a person in the loop where it matters.
MEC Artworks
MEC Artworks
Our own site
Our own sales pipeline
Every engagement is scoped and quoted after a short call about your workflow, so you know the cost before any work starts. A focused pilot that includes baseline measurement and shadow mode typically runs 2 to 6 weeks.
Typically 1 to 2 weeks
One narrow workflow, such as lead replies or a triage step, connected to the tools you already use, with a review step and a handover.
Typically 3 to 5 weeks
A larger automation that touches several systems, or AI built into your own product, with tests, monitoring and documentation.
Ongoing
A developer working inside your team and tools, for companies with a backlog of workflows rather than a single one.
Running costs are separate and usually small, depending on the model and how much it has to read. We estimate the cost per task during the pilot, before anything goes live.
The team stuck to their word and worked overtime to deliver my project as quickly as possible, arranged meetings to keep me updated, and even when my scope shifted they worked around it to get the job done. 5 stars from me.
Triminage has been with us the whole way. They built our first website back when we were still Floret Commodities, and when we rebranded to Floret Capitals they redid the whole thing and did a really nice job. It just kept going from there — they built a promotional app for our commodity business that helped bring in a lot of new clients, and now they’re building a full trading app for the stock market that we think will really set us apart. They built our backend dashboard that ties everything together, and they even handle our Google Workspace. What I like is they actually get the business side of things — we don’t have to spell out why something matters, they just understand what we’re trying to do. And we don’t have to chase them for anything; they just handle it. If you’re thinking about going with Triminage, I’d say go for it.
I’ve worked with the team on an AI product for about three months, and the partnership was well structured and organised. They provided weekly updates and communicated clearly, which made the whole process smooth and straightforward. The final product works and is fully functional. I chose the team for the clarity of communication they provide and the way they structure and organise the work — notably more confident than with other providers. They arrive at meetings on time and manage expectations realistically; the punctuality and quality of communication that other providers were missing. I wish you the best of luck working with them.
Harun came in and took our systems to a whole new level — it’s like night and day, the difference.
