01

Private AI knowledge systems

Your company's knowledge — products, documents, processes — in one private AI your team can simply ask. Every answer comes with its source.

  • Built on your own data and catalogues
  • Source-backed answers, no guesswork
  • Connected to stock and inventory data
02

Chatbots & AI assistants

On-brand assistants that answer customer questions around the clock, qualify enquiries, and hand over to your team when a human is needed.

  • Trained on your services, prices, and policies
  • Website and messaging channels
  • Structured hand-off to sales or support
03

Workforce, shift & time tracking

Systems that let staff check in, report sickness, and request changes through the messenger they already use — with a live dashboard for the office.

  • Check-in / check-out and sick notes via chat
  • Live shift status and no-show alerts
  • Roster import from Excel and CSV
04

Internal workflow automation

For larger organisations: automations that read documents, move data between systems, and produce the reports people currently build by hand.

  • Document intake and AI data extraction
  • Hand-offs between existing tools
  • Automated recurring reporting
Featured build — Metal IndustryAI Automation

A private AI that knows every product — down to the last screw

In a company this size, finding one specific part used to take hours of searching through catalogues, systems, and colleagues. Now employees simply ask — and get the answer with its source, the current stock level, and where to find it.

Read the engagement →
  • Private knowledge base — the complete product range, every item and every specification
  • Source-backed answers — every answer shows exactly where it comes from
  • Stock & location — how many units are available and where they are stored
  • Plain-language search — no part numbers or catalogue expertise needed
Featured build — Security ServicesAI Automation

Shift planning and time tracking for ~80 staff, run through chat

Check-ins, sick notes, and roster changes used to run over phone calls and spreadsheets — and the office learned about no-shows too late. We replaced that with a messenger bot for the staff and one live dashboard for the office.

Read the engagement →
  • Messenger bot — check-in, check-out, sick notes, and correction requests
  • Office dashboard — live shift status and automatic no-show alerts
  • Roster import — Excel / CSV with validation and preview before anything changes
  • AI layer — understands unstructured rosters and free-text messages from staff
How we work

From manual process
to running system

No slide decks about “AI transformation”. We start from one concrete process, prove it on your real data, and build from there.

Map

We sit with the people doing the work and document the process, its exceptions, and where time is lost.

Prototype

A working first version on your real data — so decisions are made on something you can use, not on a concept.

Integrate

Connected to the tools you already use: spreadsheets, messaging, CRM, and existing databases.

Operate

Handover, monitoring, and iteration — with clear ownership of what the system does and when a human steps in.

Principles

Built for the people
who use it

Do we need to replace our existing tools?

No. We build around what your team already uses — the messenger on their phones, your spreadsheets, your CRM. Adoption is the hardest part of any automation, so we remove the reasons not to use it.

What happens when the AI is unsure?

It asks, or it hands over. Every system we build has a clear human-in-the-loop path for exceptions, corrections, and anything that should not be decided automatically.

How do you handle our data?

Data protection is part of the design, not an afterthought. We agree up front where data is stored, who can see it, and which parts are processed by AI models.

How does this relate to AI visibility?

They are two sides of the same standard. AI Visibility makes sure AI systems recommend your brand; AI Automations make sure your operations can deliver on that recommendation.

Start here

Which process costs
your team the most time?

Tell us about one process that should run itself. We'll tell you honestly whether AI is the right tool — and what a first version would look like.