THE HONEST AI CONVERSATION
What AI Can and Can't DoOur Actual View
AI is genuinely transformative for certain types of work. It's overhyped for others. Here's our honest take:
AI is great at:
Processing and extracting structured data from unstructured documents
Generating first-draft content from templates and inputs
Handling high-volume repetitive conversations with consistent quality
Summarising and categorising large volumes of information
Automating rule-based workflows with natural language triggers
AI is not great at:
Making complex judgement calls that require business context
Anything where 'close enough' isn't good enough and errors have real consequences
Replacing human relationships in high-stakes B2B or professional services contexts
Working reliably without human oversight when accuracy matters at the individual level
We won't sell you an AI system that creates more problems than it solves. We'll tell you upfront what a realistic implementation looks like and what it won't do.
What we build
AI ServicesWe Deliver
Document processing, approval workflows, data extraction, report generation - the repetitive back-office work that currently requires a person. We map the workflow, identify the automation candidates, and build the integrations that make it run.
OpenAI, Google Gemini, Anthropic Claude, Meta LLaMA - we integrate the right model for your use case into your existing platforms. REST APIs, webhooks, and the backend infrastructure to run it reliably. See our API integration services.
Phone and web voice assistants that handle real customer conversations - booking inquiries, FAQs, triage, follow-ups. Available 24/7, consistent every time, integrated with your CRM and calendar. We build for NZ businesses and know what NZ users actually expect. Explore our voice assistant solutions.
Intelligent chatbots trained on your content - not generic FAQ widgets. Built to handle real queries, escalate to humans when needed, and integrate with your ticketing or CRM system. Not a ChatGPT wrapper. A trained, deployed, maintained system.
Extract data from invoices, contracts, forms, and reports automatically. OCR plus AI means your team stops copying data from PDFs into spreadsheets. See our TYS case study for what this looks like in a real production system.
Automated content generation, translation, summarisation, and data enrichment pipelines - for businesses with volume content requirements that can't be handled manually.
How We Work
From Idea to Running AI System -How We Get There
Discovery
We map your current workflows, identify the highest-value automation candidates, and define what 'good' looks like before any technology decisions are made.
Design & Pilot
We build a working prototype against your actual data - not a generic demo. You see how it performs on real inputs before committing to a full build.
Integration & Testing
Connection to your existing systems (CRM, email, databases, APIs), accuracy testing, edge case handling, and the monitoring to know when it's working and when it isn't.
Deployment & Iteration
Live deployment, user training, and ongoing refinement. AI systems improve with use - we build the feedback loop in from the start.
Discovery
We map your current workflows, identify the highest-value automation candidates, and define what 'good' looks like before any technology decisions are made.
Design & Pilot
We build a working prototype against your actual data - not a generic demo. You see how it performs on real inputs before committing to a full build.
Integration & Testing
Connection to your existing systems (CRM, email, databases, APIs), accuracy testing, edge case handling, and the monitoring to know when it's working and when it isn't.
Deployment & Iteration
Live deployment, user training, and ongoing refinement. AI systems improve with use - we build the feedback loop in from the start.
Pricing
What Do AI ServicesActually Cost?
Frequently Asked Questions
What's the difference between an AI integration and just using ChatGPT?
ChatGPT is a tool your team uses manually. An AI integration is a system built into your workflows - it receives data from your systems, processes it automatically, and sends outputs where they need to go. The difference is whether a human has to be in the loop for every single interaction.
Do I need to share my data with OpenAI or Google?
Not necessarily. We can build with models that run on private infrastructure, use enterprise API tiers with data protection agreements, or implement local model deployments where data sensitivity requires it. We'll discuss the right approach for your situation.
How accurate is AI at processing our documents?
Depends on document quality and consistency. On structured, consistent document types (standard invoices, forms), accuracy is very high. On highly variable, unstructured documents, it requires more training and validation. We build accuracy measurement and human-review triggers into every document processing system.
How long does an AI integration take to build?
A focused single-workflow automation: 4-8 weeks. A custom voice assistant or multi-workflow platform: 3-6 months. We scope this precisely based on what you're building.
What happens when the AI makes a mistake?
It will, sometimes. We build error handling, confidence scoring, and human escalation into every system from the start. The goal is reducing manual work, not eliminating human judgement entirely.
Got a Workflow That's Eating Your Team's Time?Let's See If AI Can Fix It.
A free 30-minute call. Tell us what you're trying to automate - we'll tell you what's realistic, what it'll cost, and whether we're the right team to build it.