One system instead of email, Excel and phone calls.

Websites, business software, dashboards and AI automation for companies with 10 to 200 people. Built so no enquiry gets lost, routine work runs by itself and your team can see what is going on.

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Scroll: the scattered pieces become one system.

Scattered components on an engineering grid: the separate tools a business runs on
Fig. 01 Today: separate tools

Four things we build. Each fixes one specific problem.

Start with the one that hurts most. They connect later.

  • Websites that bring in enquiries

    Fast, findable websites with forms, calculators and instant quotes, so a request arrives complete and gets answered.

    Websites & Configurators

  • Software that runs your process

    Internal tools, portals and shared queues instead of the spreadsheet everyone edits and the status nobody knows.

    Business Software

  • Dashboards that show what is going on

    One live view of orders, requests and jobs instead of five exports and a Monday spreadsheet.

    Dashboards & Data

  • Automation and AI that remove manual steps

    Follow-⁠ups, routing, documents and content handled by fixed rules first, and by AI only where judgement is needed, with a person checking.

    Automation & AI

Four assembled parts on an engineering grid: website, software, data and automation
Fig. 02 Four parts, each with one job

What happens when an enquiry comes in.

One example from start to finish, the way we have built it for a moving company and a local services business.

  1. Website

    A customer fills in the quote form and sees a price straight away.

  2. Software

    The request lands in a queue, not in somebody’s inbox.

  3. Data

    The whole team sees the status: new, contacted, closed.

  4. Automation

    The follow-⁠up goes out on its own. Nothing waits for a reminder.

  5. Result

    A quote in minutes and a queue nobody has to chase.

One result

Nothing gets lost. Nobody chases information.

That is the point of one system instead of five tools.

The four parts connected in one chain that ends in one result
Fig. 03 One connected system

Our use cases

Every workflow on this page in one place.

An enquiry

What happens when an enquiry comes in.

Nothing gets lost. Nobody chases information.

  1. A customer fills in the quote form and sees a price straight away.

  2. The request lands in a queue, not in somebody’s inbox.

  3. The whole team sees the status: new, contacted, closed.

  4. The follow-up goes out on its own. Nothing waits for a reminder.

  5. A quote in minutes and a queue nobody has to chase.

Moving company

Instant quotes, no call-back needed

Customers see a price immediately; every request sits in one queue.

Read the case study

  1. The customer describes online what they need. Why it helps: Enquiries arrive complete, day or night.

  2. Calculated by your rules. Why it helps: The same fair price every time, in seconds.

  3. Goes out at once as a PDF by email. Why it helps: The customer has it while they are still interested.

  4. An automatic reminder until the customer replies. Why it helps: No quote is forgotten, so more of them turn into orders.

Local services business

From enquiry to follow-up

Every lead in one place, status visible to the whole team.

Read the case study

  1. Comes in by form, email or phone. Why it helps: Every channel ends up in one place.

  2. Sorted into the queue by urgency. Why it helps: Urgent work is done first, without anyone sorting by hand.

  3. The right person, by skill and workload. Why it helps: Work is shared fairly and nothing waits for a manager.

  4. Every detail goes straight to the person in charge. Why it helps: No searching through emails before the work can start.

  5. The customer always sees where the order stands. Why it helps: Fewer "where is my order?" calls for your team.

Media and content business

One system for content operations

One view of what is in progress, in review and scheduled.

Read the case study

  1. Topics in the editorial plan. Why it helps: Everyone knows what comes next.

  2. Text, images and video are made. Why it helps: All files stay with the piece they belong to.

  3. One click instead of email ping-pong. Why it helps: Approvals take minutes instead of days.

  4. Scheduled automatically. Why it helps: No one has to remember a date.

  5. On every channel, on time. Why it helps: A steady presence without manual posting.

  6. The state of every step at a glance. Why it helps: No status meetings: the answer is always on screen.

Marketing

From brief to published content

Content goes from brief to published without anyone carrying it from step to step.

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  1. The brief says what the piece is for. Why it helps: Everyone starts from the same goal.

  2. The pipeline turns the brief into a script. Why it helps: The first draft is ready in minutes, not hours.

  3. The media is produced from the script. Why it helps: No manual editing for every single post.

  4. The brand treatment is applied the same way every time. Why it helps: Every piece looks like your brand, automatically.

  5. Scheduled for publishing on the right account. Why it helps: Posts go out steadily without anyone pressing publish.

Our own AI infrastructure

A control centre for AI agents

Every run is recorded and can be checked. A new project needs a manifest entry, not a new script.

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  1. Manifests describe each project, so an agent knows what it works on. Why it helps: Agents start with the right context, every time.

  2. Decides which model handles which task. Why it helps: Each task goes to the model that does it best.

  3. Starts the agents and keeps track of their runs. Why it helps: One place to start, watch and stop the work.

  4. One agent working on one task. Why it helps: Several tasks run side by side without waiting.

  5. Every run is recorded; memory is kept in git. Why it helps: Every result can be traced and checked later.

Analytics

A prototype for decision support

The decision starts from the same data every time. It is a prototype, not a production system.

Read the case study

  1. Historical records. Why it helps: Decisions rest on what really happened.

  2. Cleans the records and feeds them to the model. Why it helps: Clean data in means results you can trust.

  3. A prediction model trained on that history. Why it helps: Spots patterns a person would miss in the numbers.

  4. The screen shows the result; a person decides. Why it helps: The model advises; the responsibility stays with people.

How it works

Small first. Weeks, not months.

Rules before AI.

  1. You show us one slow or manual process. Why it helps: We start from a real problem, not a sales pitch.

  2. Your tools today and the target system, side by side. Why it helps: You see the result before anything is built.

  3. Scope, price and timeline, agreed up front. Why it helps: No surprises on the invoice.

  4. One workflow, completely covered. Why it helps: Value in weeks; we extend it with real usage.

Small first. Weeks, not months.

  1. A 30-⁠minute call. You show us one slow or manual process.

  2. A system map: your tools today and the target system, side by side.

  3. A fixed proposal: scope, price and timeline before any work starts.

  4. The first release covers one workflow completely. We extend it with real usage.

Rules before AI. Where a fixed rule does the job, we do not use a model. Where judgement is needed, AI works inside the system with a person checking.

Show us one slow or manual process. We will tell you the right first step.

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