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Less admin. Connected systems. Measurable automation.

If your team copies the same data between systems, or spends hours on quotes and searching documents, we find what can be automated – and build it, fitted to the systems you already use.

Book a process review call Show me working examples
  • Custom development
  • API integration
  • AI where it actually helps

Does this sound familiar?

If any of these are true for you, we can help.

You enter the same data into several systems by hand.

Processing incoming emails and questions eats a lot of time.

You extract data from invoices and PDFs manually.

Company knowledge sits in documents, but nobody can find what they need.

You use several tools that are not connected.

You want to use AI but do not know where it would actually pay off.

What can we take on?

Three areas where the most time can be won back.

Administration and quoting

  1. Problem

    Enquiries arrive by email and attachment, and someone moves them over by hand.

  2. How it works

    Data extraction, quote drafts, CRM updates – with human approval before anything is sent.

  3. Expected benefit

    Faster replies, fewer typos and forgotten enquiries.

Let's talk about it

Company document search and AI assistant

  1. Problem

    Knowledge is scattered across documents, and the same questions get answered again and again.

  2. How it works

    A searchable knowledge base (RAG) with source references and access control.

  3. Expected benefit

    Less searching, faster onboarding.

Let's talk about it

System integration and data flow

  1. Problem

    The same data has to be entered into several systems.

  2. How it works

    Webshop, CRM, invoicing and internal systems connected via API, with error alerts.

  3. Expected benefit

    Data entered once, the same everywhere.

Let's talk about it

How it works in practice

We do not just talk about automation – we show how it works.

  1. Upload a document
  2. Ask in natural language
  3. Answer and source
Video coming soon

Document AI search (RAG)

Ask your own documents, get an answer with its source.

  1. The site goes down
  2. Automatic check
  3. Email alert
Live product

Sentinel – downtime monitoring

Our own product: it watches the site and its key flows, and alerts you when something goes down.

Open Sentinel
  1. Incoming request
  2. Data extraction
  3. Quote draft
  4. Approval and CRM
Possible workflow

Quote request processing

From an incoming quote request to a checked quote draft.

What you get

Not just code, but a working system you can keep building on.

01

A process review: where most of the manual work goes.

02

A working automation in production, with monitoring.

03

Documented workflows that you can modify yourselves.

04

A cost estimate for AI calls, so there are no surprises.

05

Error handling and alerts when a process gets stuck.

06

A measurable result: how much time was freed up.

The path we take you through

  1. 1

    Review

    We find where most of the time goes.

  2. 2

    Build

    We build it and connect it to your existing systems.

  3. 3

    Operate

    We monitor, maintain and improve it.

Not sure where to start? Start with a short process review.

We go through the systems you use and which repetitive tasks take the most time. Then we recommend the most promising first step.

Book a process review call

The first short call is free.

What you get at the end

  • A list of the time-consuming steps
  • A recommended first build
  • A rough effort estimate
  • Operational considerations

You are not left alone after go-live.

An automation is worth something if it still runs reliably months later.

  • Error alerts and monitoring
  • Tracking API and model changes
  • Workflow maintenance
  • Cost monitoring
  • Small changes
  • Agreed development capacity
Request an operations quote

Custom quote. External API and AI service fees are billed separately.

Real systems, concrete experience

What we claim, we can show.

JANES Sentinel

Our own production monitoring service with browser flow checks and alerting.

Take a look

Case studies

Our earlier projects: the starting problem, the solution, the integration, the lessons.

Case studies
Technical background The models, tools and integrations we work with.
  • Integrating OpenAI, Claude and other AI models
  • Building AI features into an existing web system
  • Document processing and structured data extraction
  • Internal AI search and RAG (Retrieval-Augmented Generation)
  • Customer support AI and chatbots
  • Designing and running n8n, Make and Zapier workflows
  • Connecting CRM, email and invoicing systems
  • API and webhook integrations, data synchronisation
  • Replacing manual administration
OpenAI API Claude API n8n Make Zapier Laravel Vector DB REST API

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What we have written on this topic.

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Frequently asked questions

What most people ask before we start.

Not always. That is why we start with a process review: we look at where most of the manual work goes and estimate the return. If it is not worth it for a given process, we say so.
With the right setup, yes. We choose business APIs and contract terms under which the provider commits not to use the data for model training – this differs by provider and plan, so we check it for every project. We decide what leaves your system at all. For sensitive data, anonymisation or a locally hosted model are options, but we decide on them together based on the project's needs and costs.
RAG means the AI answers from your documents rather than general knowledge. It helps when you have a lot of internal material (policies, documentation, contracts) and want to search it in natural language.
It consists of the workflow tool subscription and usage-based AI call fees. Before rollout we estimate the expected monthly cost and build in limits so it cannot run away.
We build in error handling and alerts, so it does not fail silently. Critical processes always have a manual fallback.
It depends on the task and the integrations involved: a simple data hand-off can be quick, a process spanning several systems takes longer. We give a well-founded estimate after the process review.
Often not. If a system has a suitable API or another integration option, we build on the tools you already have. If it does not, we flag it during the review and look at the alternatives.
We match the safeguards to the risk: we validate the output, show sources, ask for human approval at important steps, and log the operation so errors can be traced and fixed.
Hosting and infrastructure, usage-based AI and API costs, and optional monthly support. We estimate these transparently before rollout.

Which process takes up the most time for you?

Describe it in a few sentences – after a short call we will tell you whether it is worth automating and what the first step would be.

Book a process review call