Every company is becoming an AI company The question isn't if, but how fast
Companies that don't adopt AI are falling behind their competitors. But most AI adoption fails because teams don't know where to start or how to implement effectively.
The AI adoption journey
Success follows a proven path
Train your team
The first step is understanding AI capabilities. Our training programs equip your team to identify opportunities and work effectively with AI tools.
Create an internal champion or team who understands both your business processes and AI possibilities. They'll bridge the gap between technology and operations.
Implement custom solutions
With understanding and ownership in place, develop AI solutions tailored to your specific workflows, data, and objectives.
Why generic AI tools fall short
Can't access your proprietary data and context
Don't integrate with your existing systems
Require manual work to fit your workflows
One-size-fits-all doesn't fit anyone well
Custom AI: built for you
Works with your specific data and documents
Integrates seamlessly with existing tools
Designed around your actual workflows
Solves your unique business challenges
What this looks like in your business
Four tasks your team still does by hand today, and what is left of them once a system takes over.
Sorting and qualifying inbound requests
Today, by hand
Someone opens every message, works out whether it is a prospect, a client or cold outreach, then forwards it to the right person. Anything landing on Friday evening waits until Monday.
Once automated
Every request is read, summarised, sorted by type and by urgency, then pushed into the CRM and flagged to the right person within minutes.
Still done by a human
Deciding what to answer once a request is qualified, and settling the edge cases the system flags.
Meeting notes and follow-ups
Today, by hand
Notes are written up after the fact, the summary is drafted by hand, then the actions are copied into the project tool. Usually the next day, once the details have already blurred.
Once automated
The summary is drafted from the recording, decisions and actions are extracted with an owner and a due date, and the tasks are created in the tool the team already uses.
Still done by a human
Reading the summary before it goes out, and correcting whatever was misheard.
Chasing quotes with no reply
Today, by hand
You have to remember who never came back, reopen the quote, dig through the thread for context, then write something that does not read like a template. Chasing always comes last.
Once automated
Quotes with no reply surface on their own at the right moment, with a follow-up already drafted from the context of the deal, ready to send or to edit.
Still done by a human
Reading the draft, tailoring it to the client, and deciding when to stop chasing.
Putting the monthly report together
Today, by hand
Export each platform, paste the tables together, format the whole thing, rewrite the same commentary. The file is ready a week after the month has closed.
Once automated
The data is pulled together on its own, notable swings are picked out, and the report arrives pre-filled with a first draft of the commentary on what moved.
Still done by a human
Explaining why it moved, deciding what changes next month, and telling the client.
Every setup starts by looking at how you actually work, with your volume and your tools.
What we build
Real solutions for real business challenges
AI assistants & chatbots
Intelligent assistants that handle customer queries, internal requests, bookings, searches, and more, so your team can focus on high-value work.
Customer service chatbots
Internal HR assistants
Sales qualification bots
Booking & scheduling agents
Automated workflows
Remove repetitive tasks from your team's plate. From report generation to data entry, decision flows to email triage: AI handles the mundane.
Report generation
Document processing
Email triage & routing
Data entry automation
RAG & knowledge systems
Knowledge often leaves with employees. Capture institutional knowledge in searchable AI systems that make information accessible to everyone.
Internal knowledge bases
Document Q&A systems
Policy & procedure assistants
Training material search
Data analysis & insights
Turn raw data into actionable intelligence. AI can identify patterns, surface insights, and generate reports that would take humans hours or days.
Automated reporting
Trend analysis
Anomaly detection
Predictive analytics
Content generation
AI-powered content creation that maintains your brand voice. From marketing copy to documentation, personalized emails to social posts.
Marketing copy
Email personalization
Documentation
Social media content
System integration
AI that works inside your existing tools, not alongside them. We integrate capabilities directly into your CRM, ERP, or custom applications.
CRM integration
ERP automation
Website chatbots
Mobile app AI features
What an automation actually does
An email comes in, tasks go out. Here is the path, from the inbox to the person who decides.
A request comes in through the inbox, a website form or the chat.
The automation pulls out what matters and files it: prospect, client or supplier, urgent or not.
It creates the record in the CRM, alerts the right person and drafts a reply.
The person in charge reads, adjusts and sends. The system prepares, it does not decide for them.
Your MCP, built to order. We design. We deploy. We operate.
We run our own MCP gateway: 244 tools across 21 marketing platforms, live in production. We build yours the same way: with your data, your rules, your stack.
Battle-tested in production
Our own MCP runs on Google Cloud Run, queried every day by 18+ clients. We know what breaks, what scales, and what's worth building versus what isn't.
Plugged into your real stack
Ahrefs, GA4, Meta Ads, BigQuery, HubSpot, Notion, Lemlist, your internal APIs. We build the connectors you actually need, not a generic vendor demo.
Claude Desktop, Claude Code or your own agent
Your MCP works with Anthropic's clients out of the box, and with any custom agent you decide to build on top. No lock-in.
What your MCP server will do
What you ask it
A question in plain English, in Claude or ChatGPT. The server receives it with your account, and knows which tools you are allowed to call.
Your question
Your account
Your permissions
Your MCP server
Your question
Your account
Your permissions
Sourced answer
Document created
CRM
Google Ads
GA4
BigQuery
Gmail
Notion
Writes without approval
Sensitive data
What it fetches
It picks the tool and queries it for you: the CRM, the campaigns, the analytics, the inbox. No more copy-pasting from one tab to another.
CRM
Google Ads
GA4
BigQuery
Gmail
Notion
What it gives back
The answer comes back into the conversation, with its source. What you have not allowed stays closed: nothing is written without approval, nothing sensitive leaves.
Sourced answer
Document created
Writes without approval
Sensitive data
You ask the question.The server fetches the answer from your tools.
From Google Ads to Lemlist through BigQuery, we build MCPs and automations on top of the tools you already rely on. Here's what we operate in production today.
Our MCP gateway, in production
tools exposed
244
platforms connected
21
active clients
18+
Paid media
Google AdsAdjust budgets, create ad groups, export search terms
Meta AdsAudiences, creatives, conversions, budget pacing
Custom solutions, not off-the-shelf Every project is unique because every business is unique
We don't have pre-built solutions waiting on a shelf. Every AI project starts with understanding your specific challenges, workflows, and objectives. That's why we work on a custom quote basis.
Problem-first
We start by understanding the real business problem you're trying to solve. AI is a tool, not a goal: it has to deliver measurable value.
Model-agnostic
We use whatever AI model fits best: OpenAI, Anthropic Claude, Google Gemini, or open-source. The choice depends on your needs, not our preferences.
Secure by design
Security isn't an afterthought. We build with guardrails from day one, support private deployments, and ensure compliance with your requirements.
No black boxes
We train your team on how the automation works. You'll know where to update prompts, adjust workflows, and maintain the system.
How we work
Discovery call
We discuss your challenges, identify potential use cases, and assess feasibility. No commitment required.
30-60 min
Deep dive & proposal
If there's a fit, we analyze your workflows in detail and create a custom proposal with scope, timeline, and investment.
1-2 weeks
Proof of concept
For complex projects, we often start with a PoC to validate the approach and demonstrate value before full development.
2-4 weeks
Development
Iterative development with regular check-ins. You see progress throughout, not just at the end.
2-4 months
Launch & optimize
We deploy, train your team, and monitor performance. Real-world usage reveals optimization opportunities.
Ongoing
Technologies we work with
OpenAI GPT-4
Anthropic Claude
Google Gemini
Mistral / Llama
LangChain
Vector DBs
Our AI resources
Deep-dive articles to master AI in your organization
Off-the-shelf AI tools often don't fit specific business processes or integrate with existing systems. Custom AI development creates solutions tailored to your exact workflows, data, and objectives, automating repetitive tasks, extracting insights from your specific data, and connecting seamlessly with your current tools.
What types of AI solutions can you build?
We develop custom AI assistants and chatbots, workflow automation systems, document processing tools, data analysis and reporting automation, RAG (Retrieval Augmented Generation) knowledge bases, and integrations with existing software. Each solution is designed specifically for your use case.
How long does an AI project typically take?
Timeline depends on complexity. A proof of concept can be ready in 2-4 weeks. Full solutions typically take 2-4 months from discovery to deployment. We start with a discovery phase to understand your needs before providing a detailed timeline and quote.
Do I need to have my own data to start?
Not necessarily. We can work with your existing documents, CRM data, or help you structure the data collection process. Many projects start with analyzing what data you have and determining what additional data would be valuable.
Which AI models do you use?
We're model-agnostic and select the best fit for your needs: OpenAI GPT-4, Anthropic Claude, Google Gemini, or open-source options like Mistral or Llama. The choice depends on your requirements for accuracy, cost, speed, and data privacy.
How do you handle data security and privacy?
Security is built in from day one. We implement enterprise-grade security practices, can work with on-premise or private cloud deployments, and ensure compliance with GDPR and other regulations. Your data is never used to train third-party models.
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