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LXB Systems

AI Transformation/Systems Implementation/Bespoke Development

Turn AI into an operational advantage.

LXB Systems helps businesses identify, implement and integrate AI systems that improve the way they operate: from automation and bespoke software to AI agents, infrastructure and workforce enablement.

Discuss Your AI StrategyExplore Our Services
Works withn8nPower AutomateClaudeMCPOpen source
System architectureconnected
  1. 01

    Business Systems

    CRM, finance, email

  2. 02

    AI Layer

    Models, skills, tool access

  3. 03

    Automation

    Work moving between systems

  4. 04

    Applications

    Portals and internal tools

  5. 05

    Data

    Databases and knowledge

  6. 06

    People

    Confident, trained teams

01The challenge

AI adoption is easy. AI transformation is not.

Most businesses can now access powerful tools in minutes. Turning them into something that reliably improves how the business runs is a different problem entirely.
  1. 01

    Use cases

    Knowing which processes are worth changing, and which aren't.

  2. 02

    Integration

    Connecting new tools to the systems you already run.

  3. 03

    Workflow

    Fitting automation into how work actually moves.

  4. 04

    Infrastructure

    Hosting, security and access that someone has to own.

  5. 05

    Capability

    Building the skills to use it well, internally.

  6. 06

    Measurement

    Knowing whether any of it paid off.

The challenge isn't accessing AI. It's turning it into a system that creates measurable business value.

02Services

One connected offering, from first idea to measurable result.

Strategy decides what to build. Workspace, Automation and Bespoke Systems build it. Enablement makes it stick. Measurement proves it.
01

AI Strategy, Adoption & ROI

Where every engagement starts: find where AI creates measurable value, prioritise it, and prove the result.

02

AI Workspace

Make the AI tools your team already uses work for your business, with your systems and way of working built in.

03

AI Automation

Processes that run by themselves, 24/7, across the systems you already use.

04

Bespoke Systems

When no existing tool fits: proven open-source foundations and custom software, shaped around how you work.

05

AI Enablement & Training

Practical AI training for your team, and Agentic Software Foundations for the people building with AI coding tools.

03Own your systems

Software built around your business.

Traditional SaaS often requires businesses to adapt their processes around someone else's platform. We take a different approach.

Where appropriate, we implement proven open-source technology, customise it around your workflow, integrate it with your existing systems and deploy it into infrastructure you control.

  • Your workflow01
  • Your data02
  • Your infrastructure03
  • Your system04

Build around your needs, rather than learning to work around the limitations of a platform.

Traditional SaaS

Businessadapts toSoftware

LXB Systems

Softwareadapts toBusiness
  • Avoid unnecessary per-user licensing
  • Greater control over data and infrastructure
  • Customised around how the business works
  • Integrated directly into existing workflows
  • Deployed locally, privately or in the cloud
  • Less dependency on rigid platforms

Open-source software still has licence terms, and some projects combine it with commercial components. Depending on the software and licensing model chosen, this architecture can reduce recurring platform costs. It doesn't remove every cost, and we'll be clear about what applies before you commit.

04AI Workspace

Give AI the ability to work with your business systems.

On its own, a language model can only answer questions. Connected securely to approved tools, workflows and information, it can do the work: look things up, update records and set processes in motion.

MCP, simply put

An open standard for connecting AI to tools. Think of it as a controlled set of doors: you decide which systems it can reach and what it may do in each.

Claude Skills

Capture how your company performs a process, so the work is done the same way every time.

Instead of one person moving between five applications, Claude works across them, within the limits you set.

  • Retrieve information from internal systems
  • Update a CRM record
  • Trigger an n8n workflow
  • Search company documentation
  • Generate a report
  • Prepare customer communication
  • Analyse business data
  • Create or update records
How Claude connects to business systemsClaude connects through a layer of skills and MCP integrations to approved tools: a CRM, n8n workflows and a database. Together they complete a business workflow.Claudelanguage modelSkills / MCPapproved tools · permissions · contextCRMrecords & pipelinen8nworkflowsDatabasebusiness dataBusiness Workflowwork completed in the systems you already use

05Approach

From AI idea to operational system.

A consistent method, so every implementation starts from value and ends with evidence.
  1. 01

    Discover

    Understand the business, its workflows and friction.

  2. 02

    Prioritise

    Rank opportunities by value and feasibility.

  3. 03

    Design

    Define the system architecture and implementation plan.

  4. 04

    Implement

    Build the integrations, automations and applications.

  5. 05

    Enable

    Train people to use the system effectively.

  6. 06

    Measure

    Track adoption, efficiency and financial impact.

  7. 07

    Scale

    Expand what works into further processes.

06Impact

Measure what AI actually changes.

Every implementation should have measurable objectives wherever possible: a baseline before anything changes, and the same measure afterwards. It's how you know what to keep, what to fix and what to expand.

What we measure

  • Hours saved
  • Cost per process
  • Response time
  • Conversion rate
  • Revenue recovered
  • Operational capacity
  • Error reduction
  • Adoption
  • Customer satisfaction

Process

Customer enquiry handling

Illustrative example

Average handling time (minutes)

Before
12 min
After
4 min
Reduction
67%
shorter handling time
Monthly volume
1,000
enquiries
Time saved
133 h
per month

Estimated annual capacity created

1,596 hours

(12 − 4) min × 1,000 ≈ 133 h a month
133 h × 12 months ≈ 1,596 h a year

Illustrative example: customer enquiry handling
Average handling time before12 minutes
Average handling time after4 minutes
Reduction67%
Monthly volume1,000 enquiries
Time saved133 hours per month
Estimated annual capacity created1,596 hours

Illustrative figures to show the method, not a client result.

07Enablement

Technology changes faster than organisations do.

Giving people access to another tool isn't the same as helping them work differently. Our sessions are practical: what these tools are good at, where they fail, and how to use them safely in real work.

Give your team the skills to work effectively alongside AI.

  • Executive AI Briefings

    Where AI creates value, where it doesn't, and what leaders need to decide.

  • Practical Team Workshops

    Hands-on sessions built around your team's real tasks.

  • AI Workflow Training

    Using AI inside the processes people already follow.

  • Claude & ChatGPT Training

    Research, writing, documents and data, done properly.

  • Agentic Software Development

    Building with coding agents, and understanding what they produce.

  • AI Governance Awareness

    Data handling, limitations and responsible use.

FormatsIntroductory workshopsTeam sessionsExecutive sessionsRole-specific trainingOngoing enablement

08Agentic Software Foundations

AI can write the code. You still need to understand the system.

Tools like Claude Code mean people who aren't software engineers can now build working software. That's a real shift, but generating code isn't the same as understanding it. This programme teaches the concepts behind what your AI builds, so you can direct it, review it and run it safely.
You don't need to become a software engineer. You do need to understand what your AI is building.
claude-code

$ claude "Add customer logins and save their orders"

→ createslogin formFRONTEND

→ creates/api/orders routeAPI

→ createsorders tableDATABASE

→ adds   sessions + OAuthAUTH

→ needs  SECRET_KEY in .envCONFIG

Each line is a decision you should understand before it ships.

The learning path

  1. 1
    IdeaWhat problem, for whom?
  2. 2
    FrontendWhat people see and use.
  3. 3
    APIHow the parts talk to each other.
  4. 4
    BackendLogic and rules on the server.
  5. 5
    DatabaseWhere information is kept.
  6. 6
    AuthWho may do what.
  7. 7
    DeploymentGetting it running, safely.
  8. 8
    MonitoringKnowing when something breaks.

Learn enough software engineering to direct AI intelligently.

  • HTTP
  • GET / POST / PUT / DELETE
  • JSON
  • SQL
  • OAuth
  • Webhooks & events
  • Environment variables
  • Git & GitHub
  • Docker
  • VPS & cloud
  • Security basics
  • Testing
  • Architecture

09Solutions

Example implementations.

Patterns we design and build. These illustrate the kind of systems we implement; they are examples, not client case studies.
01Example

Automated Lead Management

Every enquiry captured, qualified and answered, with follow-up that doesn't depend on memory.

  1. Inbound lead
  2. Qualification
  3. CRM
  4. Personalised response
  5. Follow-up
02Example

AI Operations Assistant

Claude connected to company tools, documentation and workflows through MCP.

  1. Request
  2. Claude
  3. MCP
  4. Approved tools
  5. Result
03Example

Bespoke CRM

A self-hosted CRM configured around the company's exact sales process.

  1. Open-source CRM
  2. Your pipeline
  3. Integrations
  4. Dashboards
04Example

Automated Reporting

Figures gathered from each system and turned into a dashboard managers can rely on.

  1. Business systems
  2. Database
  3. Analysis
  4. Dashboard
05Example

AI Knowledge Assistant

Secure retrieval across company documentation and internal knowledge.

  1. Documents
  2. Secure index
  3. Question
  4. Sourced answer
06Example

Quote Follow-Up System

Outstanding quotes detected, customer responses monitored, follow-up opportunities surfaced.

  1. Open quotes
  2. Response tracking
  3. Follow-up prompt
  4. Outcome

10About

AI transformation isn't one technology.

It sits at the intersection of software, infrastructure, data, workflows and people.

LXB Systems is a specialist implementation partner. We bring those components together to design practical systems around the way a business actually operates.

AI

Models, agents and skills

Automation

Workflows between systems

Software

Bespoke and open-source

Infrastructure

Hosting, security, access

Process design

How work actually flows

Enablement

People who use it well

11Contact

Where could AI create value in your business?

We can start by understanding your workflows, systems and current challenges, then identify where automation, AI or bespoke software could have the greatest impact.
  1. 01A conversation about your workflows, systems and current challenges.
  2. 02We identify where automation, AI or bespoke software could have the greatest impact.
  3. 03You get a clear recommendation on where to start, and what to measure.

Prefer email? lucasbrooke@lxbsystems.co.uk