What we can build

Four approaches to problems we see often. They're examples to explain how we approach things, with no real client data. A real project always starts by understanding your process.

Concept example

Automation platform

Automated internal processes and all your information in one place.

The problem

Orders, approvals and reports go through email, spreadsheets and two or three different programs. Every handover is someone copying data, and errors show up late.

What the project involves

  • Mapping the current process step by step
  • Deciding what gets automated and what stays human
  • Building the connectors and the workflow engine
  • Running alongside the old process before switching
  • Software
  • Automation
  • AI
  • Data
What it would look like
  1. Inputs from your tools

    Email, ERP, spreadsheets.

  2. Workflow and rules engine

    With AI to read what has no fixed format.

  3. ApprovalsPerson

    Decisions go to the right person.

  4. Central data and dashboard

    All the data in one place, with automatic reports.

Concept example

AI-assisted customer service

Automates communication, follow-up and case handling; people take care of what needs a person.

The problem

Requests arrive by email, forms and messaging. Someone has to read each one, work out what it is, find the customer and reply. Follow-ups depend on memory.

What the project involves

  • Collecting real messages to define categories
  • Measuring accuracy before going live
  • Setting clear rules for when a person steps in
  • Integrating with the CRM you already use
  • AI
  • Automation
  • CRM
  • Integrations
What it would look like
  1. Single inbox

    Every channel in one place.

  2. AI classification

    What it is, who it's from and how urgent.

  3. Draft using CRM data

    The reply, almost ready.

  4. Review and sendPerson

    Anything uncertain always goes through a person.

Concept example

Connected hardware system

Custom hardware, firmware and software working together, with remote monitoring from anywhere.

The problem

Field equipment is checked by going there. Breakdowns are seen after they happen and there's no history to learn from.

What the project involves

  • Choosing sensors and connectivity for the real environment
  • Building a prototype and testing it on site
  • Designing data collection and the dashboard
  • Planning certification and production with specialist partners if needed
  • Hardware
  • IoT
  • Cloud
  • Dashboard
What it would look like
  1. Sensor board and firmware

    Designed for that environment.

  2. Secure connection and updates

    Maintenance without travelling.

  3. Data in the cloud

    History and anomaly detection.

  4. Dashboard and alerts

    A warning before the breakdown.

Concept example

Custom internal platform

An application of your own that replaces spreadsheet-based processes and disconnected tools.

The problem

The company runs on spreadsheets that have grown over the years. Only a few people understand them, versions clash and nothing can be automated safely.

What the project involves

  • Working out the logic hidden in the spreadsheets
  • Designing screens for the tasks people do every day
  • Migrating and checking historical data
  • Training and rollout team by team
  • Software
  • Data
  • Automation
What it would look like
  1. Data model from your spreadsheets

    The hidden logic, finally visible.

  2. Role-based web application

    Screens designed for each task.

  3. Historical data migrated

    Checked record by record.

  4. Connection to accounting

    Exports with no manual fixing.

What's holding you back?

A process, a product idea, a device, a set of systems that should talk to each other. A few lines are enough to get started.

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