AI automation services
Save time.
Make money.
Run it all.
We design and build AI systems that do real work: answering and following up from your own data, finding and researching leads, teams of agents with budgets, research that cites its sources, and complete systems we build and run.
Built around your businessExample
Inbox
Knowledge
CRMContext, business rules and approvals
Ready for your team to review.
What we can build together
Save time
The work that repeats.
Prepared for you.
Customer questions, follow-ups, documents, CRM updates and reports. The system works from your approved sources, prepares the next step and shows where each answer came from. A person approves what leaves the business.
- AI assistants and RAG knowledge bases over your documents
- Enquiry routing, follow-ups and email automation
- Document processing, CRM updates and recurring reports
- Built in n8n or custom code, whichever fits the process
Your service guide
“What’s included in the first consultation?”
The first consultation covers your goals, the current process and possible next steps. A proposal follows if there’s a useful fit.
Source: Service guide · First consultation
Illustrative answer. Your documents define the detail.
Make money
Revenue the team
had no time for.
A system that finds companies that fit, researches each one, scores the fit and drafts the first message, then keeps the follow-up going. Your team spends its time on the conversations, not the searching.
- Lead finding, research and scoring against your criteria
- Drafted outreach and follow-ups, approved before sending
- Inbound leads qualified and routed with context
Illustrative lead run, drawn from the lead radar we run.
Agent teams
A team of agents.
Each with a role and a budget.
Several agents that hand work to each other, a researcher, a writer, a reviewer, each with its own tools, a spending limit and the points where a person signs off. Built for processes too big for one assistant.
- Agents with defined roles, tools and permissions
- Budgets per run and per agent, with fallbacks
- Sign-off points and a record of every hand-off
Illustrative run, drawn from the agent team we run.
Research
Research that
shows its sources.
Agents that gather, compare and check information across the web and your own records, then hand back a brief where every claim links to where it came from.
- Market, competitor and prospect research
- Every claim cited and fact-checked
- Briefs and reports in the format your team uses
Research brief
“How do Baltic vet clinics take bookings?”
Most clinics take bookings by phone, and few offer online booking. Price lists are rarely published, and reviews mention waiting times most often.
Sources: 4, each one checked
Illustrative brief. Your question defines the research.
Full systems
The whole system.
Built and run.
When the job is bigger than one workflow: models, data, integrations, an AI gateway with budgets and fallbacks, self-hosted infrastructure and monitoring. One engineer owns all of it, from design to the day after launch.
- AI integration with your software and APIs
- AI gateway: model choice, budgets, fallbacks, every call recorded
- Self-hosted or cloud infrastructure, monitored, with tested backups
- Review queues and dashboards for the people who run it
System monitorExampleIllustrative monitor, drawn from the systems we run.
The work around the software matters, too.
We agree how the system should be tested, operated and improved. A useful first version comes with a plan for the day after launch.
How we work together- A focused scope
- Deliverables, timeline and price agreed before building.
- A tested system
- Real scenarios, clear boundaries and a way to handle exceptions.
- A practical handover
- Documentation, ownership and support agreed with your team.
Start with the problem.
We’ll help shape the system.
Tell us where the time goes, where revenue slips and what you’d like a system to take on.