Automation and AI implementation
We connect company systems, build AI agents and develop custom tools for businesses. We start with the single process that currently costs your team the most hours. We are marketers, so we know where time slips away on the road from campaign to sale.
What we implement
We connect the systems you already use so that data flows between them on its own. We build automations in n8n and similar tools, and add AI where something needs to be read, assessed or summarised.
An AI agent carries out a task from start to finish, and a person approves the result. Before publication it checks copy and graphics against the brand book, brand tone and industry requirements, for example in pharmaceuticals. In sales it plays a client with typical objections, and after the conversation it assesses the salesperson and suggests what to improve.
When off-the-shelf software does not fit the process, we build one that does: a task management system, a dashboard, a CRM, a calculator or a proposal page. We are co-creators of Taagly, a project management system. We code with Claude Code in your company's GitHub repository, so the code and data stay with you.
We speed up the production of materials without losing the brand's character. We prepare creative variants, visualisations, voice-overs and website content. We also make sure AI search tools understand your company correctly and recommend it.
We teach your team to work with AI on its own tasks, not on generic examples. We turn repetitive work into ready-made procedures, so everyone in the company does it equally well.
What we can do
We design every solution for a specific company and its processes. Here are a few directions to start from.
Instead of a PDF, the client gets their own password-protected proposal page with a schedule, a quote and graphics. AI assembles a draft from the brief and meeting notes, the price list and client data come from the CRM via API, and the approval goes back into the system. This is how we prepare our own proposals.
Each company on your key account list gets its own version of the website or proposal, with its industry, examples and language. The salesperson sends a link that addresses this client's problems rather than everything at once.
We attach a short video made for a specific client to the proposal, featuring their name and its key points. The voice-over is the salesperson's cloned voice, so the recording needs no studio and no retakes.
AI plays a client with the typical objections in your industry, and the salesperson practises the conversation before the real meeting. Afterwards they get an assessment and tips on what to improve.
Sales calls are transcribed, and AI extracts the needs, objections and words that clients use. Once a week, marketing receives a summary that feeds into content, FAQs and ads.
Before a post, ad or leaflet is published, an agent checks it against the brand book, brand tone and industry requirements, for example in pharmaceuticals. It highlights the passages to correct and explains why.
The agent reads the request for proposals or the tender documentation and compares the requirements with the company's knowledge. It writes the first draft of the response and lists the gaps the team needs to decide on.
The agent reviews the CRM and purchase history, identifies companies that have stopped buying and prepares messages for them. The salesperson approves them before they are sent.
A voice-over in the owner's or an expert's voice guides visitors through your services, and the page scrolls by itself to the section being discussed. Visitors can take over at any moment.
How we implement
Together with your team, we look at where the most time is lost: re-entering data, reports, answering repetitive questions. We choose one process to start with and write down how the solution should work before any code is written.
We implement one solution on real data. We measure how long the process takes before and after implementation.
We connect the solution to the company's systems and document how it works. The team learns to work with AI every day, not just to operate one tool.
We make sure everything works, make improvements based on the team's feedback and add further processes.
Why us
For years we have been running campaigns and supporting sales for B2B and B2C companies. We know what happens between an ad click and a signed contract.
We prepare proposals, materials, reports and documents with AI every day. We suggest solutions we have tested in our own work.
AI prepares, the team approves. Nothing reaches a client without a person's approval.
We teach AI your brand's tone, rules and identity. Materials sound and look like your company, not like yet another text from a chatbot.
We build tools in your repository, and automations can run on your server. We do not tie you to our subscription.
Before implementation we measure how long the process takes, and after implementation we measure again. If AI does not pay off in a given area, we say so plainly.
What we work with
We connect automations to the systems your company already uses, through ready-made integrations or APIs. Here are some of them.
Questions and answers
Automation connects systems and moves data according to fixed rules, for example an enquiry from a form goes to the CRM. We add AI where something needs to be read, assessed or written, for example assessing an enquiry or preparing a draft proposal. In many processes automation alone is enough, and when it is, we say so plainly.
With a conversation about where your team loses the most time. We choose one process, write down how the solution should work, and implement it on real data. We add further processes once the first one is working.
A pilot for one process usually takes 2-4 weeks. The time depends mainly on how many systems need to be connected.
Among others, Pipedrive, Microsoft 365 and Teams, online shops built on WooCommerce, xSale and marketing tools such as Google Ads, Meta and MailerLite. When off-the-shelf software does not fit the process, we build a custom tool. The full list is above, in the section on tools.
We design each implementation so that data stays in your company's systems. Automations can run on your server, and we build tools in your repository. A person approves everything before it reaches a client.
Your company. The code is written in your GitHub repository, so you can also develop it further with another team.
That is not the aim. AI takes over repetitive work: re-entering data, reports and first drafts of texts. Decisions and client contact stay with people, and the team has more time for work that requires experience.
It depends on the process and the number of systems to connect. After our conversation, we propose the pilot scope, a schedule and a quote. Before implementation we measure how long the process takes, so it is easy to judge whether it pays off.
Contact
We will be happy to answer your questions. We will tell you where to start and explain how the project will run.
Next steps after you fill in the form
Within 24 hours we will call you and ask a few questions. Your answers will help us understand your main needs. The aim of this stage is to establish whether we are the right support for you.
If we understand each other, the next step is an online meeting where we talk about your current situation, resources and expectations. This helps us understand which direction we should take.
Based on the information gathered, we will propose a project scope and an estimated schedule, and prepare a quote. This will help you decide whether to continue working with us.