Web Lifter
AI Engineering

Build intelligent systems that automate and scale.

We design and build custom AI solutions, from LLM-powered applications and intelligent agents to data pipelines and ML integrations, that solve real business problems and deliver measurable results.

Start here

AI Opportunity Audit & Roadmap

Not sure where AI fits? We assess your systems, workflows, and data, then hand you a prioritised, costed roadmap of what’s actually worth building.

  • Opportunity audit across your systems & workflows
  • Feasibility review of each AI use case
  • Prioritised, staged roadmap
  • Tool & vendor recommendations

Introductory engagement · billed hourly

AI Engineering Services

Everything from data plumbing to deployed intelligence.

We cover the full AI stack: the data foundations underneath, the models and retrieval in the middle, and the agents, recommendations, and predictions your business actually uses.

01

LLM Engineering Services

Production LLM systems built to a standard: versioned prompts and skills, tuned models, and the evals and guardrails that keep them reliable.

  • Prompt, Skill & Agent libraries
  • Fine-tuning
  • Model / System / Prompt / Skill evaluation systems
  • Guardrails
02

Data Engineering for AI

The data foundation AI depends on: readiness audits, clean pipelines, warehousing, and the vector and embedding infrastructure retrieval runs on.

  • AI data readiness audit
  • Data cleaning
  • Data pipelines
  • Data warehousing
  • Vector database setup
  • Embedding pipelines
  • Data labelling
03

Retrieval-Augmented Generation, Knowledge Bases & AI Search

Answers grounded in your own content: RAG and GraphRAG systems, enterprise search, and self-maintaining knowledge bases with transparent sourcing.

  • AI document search
  • RAG & GraphRAG systems
  • Enterprise search
  • Knowledge base automation
04

Machine Learning & Predictive Analytics

Turn historical data into forward-looking decisions: churn, lead, and risk scoring, demand forecasting, and dashboards your team can act on.

  • Predictive analytics
  • Customer churn prediction
  • Lead scoring models
  • Risk scoring
  • Forecasting dashboards
05

Recommendation & Personalisation Systems

Show each customer the right thing next: product and content recommendations, personalised search and email, and next-best-action engines.

  • Product recommendations
  • Content recommendations
  • Personalised search
  • Personalised email / content
  • Next-best-action systems
06

AI Agents & Workflow Automation

Autonomous systems that do real work: task, sales, support, operations, and research agents, multi-agent workflows, and human-in-the-loop controls.

  • AI task agents
  • Sales agents
  • Support agents
  • Operations agents
  • Research agents
  • Multi-agent workflows
  • Human-in-the-loop agents
Niche AI Services

Packaged AI for the functions where it pays back fastest: e-commerce, marketing, customer support, and sales & CRM.

AI for E-commerce

  • AI product recommendation engines
  • AI shopping assistants
  • Inventory forecasting
  • Visual search
  • Demand forecasting
  • Price optimisation

AI for Marketing & Content

  • AI content generation tools
  • SEO content assistants
  • Ad copy generation
  • Brand voice assistants
  • Social listening
  • Content repurposing

AI for Customer Support

  • Ticket classification
  • AI response drafting
  • Self-service support bots
  • Ticket summarisation
  • Escalation prediction
  • Quality assurance

AI for Sales & CRM

  • AI lead scoring
  • AI sales assistants
  • Proposal generation
  • Call analysis
  • Pipeline forecasting
  • Account research
How we build

From data to deployed intelligence.

  1. 01

    Enquiry & Discovery

    It starts with a conversation. We learn your business, the workflow you want to improve, and the data you hold, then confirm where AI genuinely fits.

  2. 02

    Scope & Proposal

    We define the use case, success metrics, and data requirements, then send a fixed-price, phased proposal with clear deliverables before any build begins.

  3. 03

    Prototype & Evaluation

    We build a focused prototype and measure its output against agreed acceptance criteria, so quality is proven before we scale it up.

  4. 04

    Build, Guardrails & Integration

    We engineer the production system with guardrails, safety controls, and human-in-the-loop checks, then integrate it into your applications and data.

  5. 05

    Deploy, Train & Handover

    We launch with logging, cost tracking, and monitoring, document the system, train your team, and hand over full ownership.

What clients actually say.

Real feedback from businesses we’ve helped grow. 4.9★ average across all engagements.

Web Lifter has done a great job planning and implementing Steelmark's SEO strategy and providing technical web development support with exceptional results.

CC

Corey Cook

Steelmark

Exceptional service from John at Web Lifter! If I could give more than 5 stars, I would.

CX

Carter Xu

Trapt Melbourne

John and the team at Web Lifter stepped in at extremely short notice to resolve a multitude of website issues we were experiencing.

LW

Lesley Wardropper

PASA Connect

Web Lifter are a cut above the rest when it comes to all things marketing. Our gym has been working with John and the team for 6 months and the results have been outstanding.

OR

Oran Royston

Strength Sanctuary

Honestly couldn't be happier with the service I've received.

TF

Tom Fox

The Performance Formula

Web Lifter resolved a multitude of issues on short notice, highly recommended!

KL

Kim Lundgard

Darling Downs Brick Sales

FAQs

AI Engineering Services, common questions.

We build custom LLM-powered applications, AI agents, retrieval-augmented generation (RAG) systems, ML model integrations, and AI-driven data pipelines. We work primarily with the Anthropic Claude API, OpenAI, and open-source models, and can advise on the right approach for your specific use case.

Costs depend heavily on scope and complexity. A focused proof-of-concept or prototype typically starts from $5,000–$15,000. Production-grade AI applications and integrations commonly range from $20,000 to $80,000+. We provide detailed proposals with transparent pricing after a discovery session.

We start by understanding your business problem, available data, and constraints. Not every problem is best solved with AI, we'll be direct if a simpler approach would deliver better results. Where AI is the right fit, we validate feasibility with a focused prototype before committing to a full build.

Yes. Most AI projects involve integrating with your existing data sources, APIs, and systems. We assess your data assets and infrastructure during discovery and design solutions that work within your current stack rather than requiring a complete rebuild.

We design AI systems with data minimisation, access controls, and appropriate handling of sensitive information. For applications using third-party LLM APIs, we advise on data residency, logging, and prompt design to avoid unnecessarily exposing sensitive data. Compliance requirements (GDPR, HIPAA, etc.) are factored into the architecture from the start.

We offer ongoing maintenance and support packages covering model updates, prompt refinement, pipeline monitoring, and feature enhancements. AI systems often need tuning as real-world usage patterns emerge, and we can provide structured ongoing support to ensure your system continues to perform as expected.

Not sure where AI fits? Start with an audit.

We assess your systems, workflows, and data, then hand you a prioritised, costed roadmap of what's actually worth building before you commit to a build.