AI agents
- Memory and feedback loops
- For support, sales, ops, and research
AI automation and systems that ship
Production-grade AI agents, RAG systems, and LLM-powered features. Built into your products and workflows, not bolted on.
Book a discovery call
A clear scope and an honest view of what is worth automating. We reply within one business day.
★★★★★ See reviews
Trusted by brands across Australia & beyond
AI that does real work
Working in production, grounded in your data and refined over time: agents with memory, feedback loops, and the integrations they need to do useful work inside your business, every day.
- In production: shipped, monitored, improving
- Your data: grounded answers, not made-up ones
- Your stack: integrated via APIs or MCP
★★★★★ “Super easy to communicate with, and great at coming back to us with the specialised requests and additions we have.” See reviews
How do you build AI into a business?
In four stages: we find the jobs in your workflows where AI can save time or money, design the setup and test a working prototype on your own data, build it into the tools you already use, then launch it with logging and monitoring and improve it as people use it.
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Use case discovery
We assess your data, workflows, and goals to find where AI creates real value. Not everything needs it, and we'll say so.
- Data and workflows assessed
- Real value identified first
- Honest about what needs AI
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Architecture and prototyping
We design the system architecture, select the right models, and build a working prototype you test with real data.
- The right models selected
- Architecture designed
- A working prototype early
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Build and integrate
Production development with proper error handling, rate limiting, and integration into your stack via APIs or MCP.
- Error handling and rate limits
- Integrated via APIs or MCP
- Production-grade engineering
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Deploy and monitor
Launched with logging, feedback collection, and performance monitoring. We iterate based on real usage, not assumptions.
- Logging and feedback built in
- Performance monitored
- Iterated on real usage
Automation built into client websites
View more case studiesAI automation FAQs
The questions we hear before an AI build: what we make, how RAG keeps answers accurate, data privacy, and what you need ready before we start.
Still have a question?
Book a discovery callCost & getting started
How much does AI automation cost?
It depends on the use case, the data involved and how deeply it connects to your systems, so every build is quoted individually. We test the idea with a working prototype as the first stage of the project, so you can see it work before the bigger spend.
How long does an AI automation build take?
A focused AI feature like a RAG-powered chat agent is a much shorter build than a multi-agent system or an AI-powered SaaS feature. We scope every project carefully and deliver working prototypes early so you can validate the approach before committing to a full build.
Do we need to have our data organised before starting?
Not perfectly, but you do need data. We help you assess what data you have, identify gaps, and structure it for AI consumption as part of the discovery phase. Messy data is normal. Part of our job is building the pipeline that cleans, chunks, and indexes your data so the AI can use it effectively. We'll tell you exactly what's needed during the scoping call.
What we build
What types of AI can you build?
Production-grade AI systems for your use case, built mainly with Claude and OpenAI models on Supabase, Next.js and custom API infrastructure.
- Chat agents and RAG (retrieval-augmented generation) pipelines.
- Content generation and classification systems.
- LLM-powered workflow automations.
What can actually be automated with AI?
Repeatable work your team does in volume that does not need much judgement. A good test is whether the task has clear inputs and an output you can check.
- Answering common support questions and routing enquiries.
- Drafting, classifying, and summarising documents.
- Enriching CRM records and moving data between tools.
- We assess your workflows in discovery and tell you which qualify. Not everything does.
Further reading: what AI agents now do in our own agency
What is RAG and why does it matter?
RAG stands for retrieval-augmented generation. It's a pattern where an AI model retrieves relevant information from your own data before generating a response. This means the AI answers questions based on your actual documents, knowledge base, or product data instead of making things up. RAG is essential for any business AI that needs to be accurate and grounded in your specific context.
Further reading: building AI customer service that doesn’t invent answers
Can you build AI agents that learn and improve over time?
Yes. We build agents with memory systems and feedback loops, so they use past interactions and your team's corrections to give better answers. Our own internal platforms run this way. These agents can handle support tickets, research tasks, sales workflows and operational processes.
Trust & results
How do you handle data privacy and security with AI?
Data privacy is built into our architecture from day one.
- Built around your data, with secure API connections throughout.
- Private-environment deployment is available if your compliance requires it.
Will AI replace my staff?
That's not what we build for. The AI we ship takes the repetitive volume off your team, like the triage, the drafting and the data entry, so the people you already have spend their time on judgement, relationships, and the work that actually needs a human. Your team stays in the loop, with oversight of what the AI does.
How will we know if the AI is actually working?
It's measured from day one. Every system ships with logging, feedback collection, and performance monitoring, so you can see what it handled, where it struggled, and how it performs. We improve it based on that real usage, not assumptions. You'll know what it's doing, not just trust that it's doing something.
Let’s take your AI from idea to production.
We'll help you figure out what's worth building, what's not, and how to ship it. We reply within one business day.
Book a discovery call
30-minute call. We reply within one business day.
AI automation solutions we build
AI agents, RAG systems, embedded AI features, AI-enhanced CRMs, and workflow automation: production-grade AI built into how your business already runs.
RAG systems
- Grounded in your own data
- Accurate answers, not made-up ones
Embedded AI features
- Built into your existing product
- Search, generation, classification
Multi-tenant AI SaaS
- Built around your data
- Architecture that scales inference
AI-enhanced CRMs
- Automatic data enrichment
- Lead scoring and smart workflows
Workflow automation
- Connects your tools and data
- Replaces busywork, not a demo
What’s included in an AI build?
Everything from finding the right use case to deployment and monitoring.
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Use-case discovery
Your data, workflows and goals assessed for where AI creates real value, and where it doesn’t.
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Data assessment & preparation
What you have, what’s missing, and the pipeline that cleans and indexes it for AI use.
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Architecture & model selection
The system design and the right models for the job, chosen for your case, not the hype cycle.
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A working prototype early
Something you can test with real data before committing to the full build.
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Production engineering
Error handling, rate limiting and reliability: the gap between a demo and a system.
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Integration with your stack
Connected to your existing tools via APIs or MCP servers, scoped in planning.
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Privacy by design
Built around your data, with secure API connections throughout.
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Deployment & monitoring
Launched with logging and feedback collection, then iterated on real usage.
Why build AI with Pinecone Agency
We design and build the websites and software growth-focused businesses run on: made for measurable growth, shaped around the way you work, and refined in every detail.
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Error handling, rate limiting and monitoring: the unglamorous engineering that makes AI dependable at work.
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Our own internal platforms use this architecture, with agents, memory and feedback loops included.
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Not everything does. We validate the use case first and tell you straight when a simpler fix wins.
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A working prototype you can test with real data before committing to the full build.
Made a website that not only looks great but we’re now getting more visits and leads through it.
Incredibly accommodating in our very particular needs.
Their design ideas were exceptional, and we couldn’t be more pleased with the outcome.
Made sure to walk through the process so we learned and understood what we were doing and why.
Made a website that not only looks great but we’re now getting more visits and leads through it.
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Production, not demos
Error handling, rate limiting and monitoring: the unglamorous engineering that makes AI dependable at work.
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We run on it ourselves
Our own internal platforms use this architecture, with agents, memory and feedback loops included.
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Honest about what needs AI
Not everything does. We validate the use case first and tell you straight when a simpler fix wins.
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Test it before you commit
A working prototype you can test with real data before committing to the full build.
Get in touch
Tell us about your project, or just say hello. Book a call below, or contact us .
- 30-minute call. We reply within one business day.
- Honest advice on where we can help
- A clear sense of your next steps