AI Integration FAQ.

Start with the one workflow that bleeds the most hours — usually a repetitive task done weekly by multiple people. Build a small AI assistant for that one thing, measure what it saves, then expand. Avoid 12-month transformation programmes; they almost never ship.

We offer a free 30-minute discovery call to map your highest-leverage starting point. Call 02 4503 6830 or use our request info form.

A single workflow automation that saves one person 3–5 hours per week. Even at the lower end of our pricing ($3,500), the payback at typical Australian professional-services rates is under three months. Smaller than that and the integration overhead outweighs the benefit.

No. Roadmap documents are how AI projects die slowly. We'd rather ship a working v1 in three weeks than write a 60-page strategy in three months. Once one build is live and measured, the roadmap writes itself.

Small businesses often see the highest relative ROI. A solo accountant who saves 8 hours a week to AI gets back a full working day. We've shipped useful builds for businesses of 1 to 1,000 employees.

Often yes — and we'll tell you when that's the right call. Tools like ChatGPT Team, Claude Projects, Notion AI and Zapier AI can cover a lot of ground without any integration. We do custom builds when off-the-shelf doesn't fit your data, workflow or compliance needs.

Typical ranges for Australian AI integration projects:

• Starter (one workflow): from $3,500
• AI-Ready Website with chat: from $4,950
• AI Voice Agent: from $7,500 plus usage costs
• Multi-workflow Growth build: $12,500–$25,000
• Custom AI applications (Enterprise): $25,000+

We work to fixed scope and price. The 30-minute discovery call is free and gives you a tighter estimate within a few days.

Two cost categories: model usage (paid to OpenAI, Anthropic, Google etc.) and maintenance. Model usage for a typical SMB build runs $50–$500 per month. Maintenance via our Managed AI Support starts at $750/month — but it's optional, and many clients self-manage after launch.

No. Our scope documents call out all third-party fees (model usage, telephony for voice agents, hosting, any paid APIs) before you sign. If something is going to cost you money each month, you'll see it on the proposal.

Yes. Our standard payment terms are 50% to kick off and 50% on launch. For Enterprise builds we structure milestone-based payments tied to deliverables.

Model costs have actually trended down 5–10x year-over-year since 2023, while quality has improved. Your usage may grow as adoption increases, but per-token costs almost always fall.

Most builds ship in 2–6 weeks from kick-off:

• Starter (one workflow): 2–3 weeks
• Growth (multi-workflow or voice agent): 4–6 weeks
• Enterprise (custom apps, multi-agent systems): 8+ weeks

We work in weekly sprints with demos so you see real progress, not just status updates.

Four stages: Discover (free 30-min call), Scope (fixed-price proposal in 5 business days), Build (2–6 week sprint with weekly demos), Launch & train (deploy + 30 days post-launch support).

Time savings appear in week one of go-live. Financial payback (savings exceeding investment) is typically inside 90 days. We'll model the specific ROI for your build during scoping.

Every build includes 30 days of post-launch support to handle any teething issues and tune the model. After that, you can self-manage, hand it to your internal team, or stay on with our Managed AI Support plans.

Small changes within the agreed scope are absorbed at no cost. Larger pivots are handled via a change order — we'll quote the impact transparently before any extra work happens.

An AI voice agent is a phone-based assistant that combines speech-to-text, a large language model (like GPT-4 or Claude), and realistic text-to-speech (like ElevenLabs). It picks up the phone, has a natural conversation, takes structured information, and can book appointments, qualify leads or answer questions.

Modern voice agents are increasingly hard to distinguish from human staff in short business interactions — and they're available 24/7 with consistent quality.

Yes. We tune voices for Australian English pronunciation, vocabulary and conversational rhythm. Voice cloning from a sample of your own staff is also possible.

Every agent we build has explicit hand-off rules — if confidence drops below a threshold, the call routes to a human, takes a message, or escalates to a senior contact. We never let an AI confidently make things up.

Yes. We integrate with most major CRMs (HubSpot, Salesforce, Pipedrive, Zoho), calendars (Google, Outlook), and helpdesks (Zendesk, Intercom, Freshdesk). If you use something unusual, we'll check feasibility during scoping.

A custom chat assistant is grounded in your business — your products, policies, prices, knowledge base — and is integrated with the tools your team uses. ChatGPT is a general-purpose assistant. A custom build won't tell a customer about a competitor's product, won't make up your return policy, and can take actions (book, refund, escalate) on your behalf.

We strongly recommend disclosure — both ethically and legally. Most builds open with "Hi, I'm an AI assistant for [business]" or similar. Customers generally accept this when the experience is genuinely helpful and the hand-off to a human is fast when needed.

The sweet spot is repetitive work that requires reading, writing or judgement but follows a pattern:

• Drafting emails, quotes, proposals, reports
• Summarising calls, meetings, documents
• Triaging support tickets and inbound enquiries
• Extracting structured data from invoices, contracts, forms
• Researching accounts and prospects
• Generating product descriptions, social posts, ad copy

Yes. We integrate with thousands of business tools via direct APIs, Zapier, Make, n8n or custom connectors. If your data lives somewhere accessible, we can plug AI into it.

Usually no. The best AI builds disappear into the tools your team already uses — Gmail, Outlook, Slack, your CRM, your helpdesk. We embed AI inside the existing workflow rather than asking people to log into yet another dashboard.

Both — and the choice depends on the risk. Low-risk actions (drafting a reply, scheduling a meeting, tagging a ticket) can run fully autonomous. High-risk actions (sending money, deleting records, communicating with regulators) should always have a human in the loop. We default to human-in-the-loop and remove the checkpoint only when confidence and stakes justify it.

It depends on the job:

• ChatGPT (OpenAI): broadest utility, strongest plugin/tool ecosystem, strong image generation.
• Claude (Anthropic): best for long-context reasoning, careful writing, and code — our default for nuanced business tasks.
• Gemini (Google): deepest integration with Google Workspace, huge context windows.

We are vendor-neutral and frequently use more than one in a single build — for example, Claude for drafting, GPT for image generation, and a small open-source model for cheap classification.

Increasingly, yes. Models like Llama, Mistral and Qwen are now production-grade for many tasks — especially summarisation, classification and structured extraction. We use open-source when cost, latency or data sensitivity favours it.

RAG (Retrieval-Augmented Generation) lets an AI answer questions using your private documents — without retraining a model. It's how a chat assistant can answer "what's our return policy?" with your actual policy, not a generic one. Most custom AI builds use RAG in some form.

Usually not. RAG plus a good prompt covers 90% of business use cases, faster and cheaper. Fine-tuning makes sense when you need a specific tone of voice, a structured output format, or much lower latency at scale. We'll tell you when it's worth it.

Yes, when built correctly. We review every build against the Australian Privacy Principles (APPs). Defaults include:

• No personally identifiable information in prompts unless necessary
• Audit logs on every model call
• Use of enterprise model tiers that contractually do not train on your data
• On-premise or private-cloud deployment for sensitive workloads

For organisations subject to the Notifiable Data Breaches scheme, we document the data flow before build start.

Where you need it to be. Default builds use Australian regions of AWS, Google Cloud or Azure. For more sensitive deployments we run AI models inside your own infrastructure, with no data leaving your network.

Not when configured correctly. We use enterprise/business tiers (OpenAI Enterprise, Anthropic, Google Vertex, Azure OpenAI) that contractually do not train on your data. We confirm this in writing before any client data touches a model.

We've built for clients across healthcare, financial services and legal. Each has specific requirements (e.g. My Health Records Act for health data, ASIC for advice content, legal privilege considerations) — these become explicit constraints in the build scope.

The risks are real but manageable. We mitigate via: (1) prompt-level guardrails preventing the model from quoting sensitive sources; (2) output filtering for PII patterns; (3) role-based access so the model only sees data the requesting user is authorised to see; (4) audit logs for after-the-fact review.

Vendor-neutral and pragmatic. Common picks: OpenAI / Anthropic / Google APIs for the model layer; Python or Node for backend; Vercel / AWS / Google Cloud / Azure for hosting; Pinecone, Weaviate or PGVector for embeddings; Twilio for telephony; ElevenLabs for voice. We adapt to your stack if you have constraints.

Yes. You own everything we build for you — code, prompts, integrations, documentation. We hand it over at the end of the engagement and you're free to take it in-house, hand it to another vendor, or keep us on for support. No vendor lock-in.

Yes for any internal-facing build. We integrate with Microsoft 365, Google Workspace and major SSO providers (Okta, Auth0, Azure AD). All builds include per-action audit logs by default.

Yes. For sensitive workloads we deploy models inside your own infrastructure — including air-gapped environments — using open-source models (Llama family, Mistral, Qwen) or private endpoints from major providers.

For production builds we configure fall-back chains: if the primary model provider has an outage, the system automatically routes to a secondary. SLAs depend on the build, but 99.9% application uptime is achievable for most use cases.

Across our Australian engagements, average payback is 90 days, with typical first-year ROI of 3–4x. The biggest wins come from automating high-volume repetitive tasks where saved hours translate directly to billable capacity or retained revenue.

Each build is anchored to one or two outcome metrics agreed before kick-off. Common metrics: hours saved per staff member per week, first-response time, lead conversion rate, ticket deflection rate, revenue per rep.

If we miss the outcome we agreed to, we keep working at no extra cost until we hit it. We bear the risk of the build delivering — not you.

AI typically replaces the repetitive 40–70% of customer support — order status, returns, basic troubleshooting — and frees humans for complex, high-value or sensitive issues. The strongest setups are hybrid: AI handles volume, humans handle nuance, and AI drafts replies for humans to review.

In our experience, no — but it changes what they do. Teams shift from data entry, drafting and triage to exception handling, judgement calls and customer relationships. Our clients typically reinvest saved hours rather than reducing headcount.

AI Integration is an Australian AI consultancy based in New South Wales. We design, build and deploy AI applications inside operating businesses — voice agents, chat assistants, workflow automation, sales copilots and custom AI apps. We work to fixed scope and price, ship in 2–6 week sprints, and stay accountable to measurable outcomes.

New South Wales, Australia. We work with clients across Australia and selectively with international clients in similar time zones. Call us on 02 4503 6830.

Three things: (1) we ship working software, not slideware; (2) we're vendor-neutral — not reselling a single model or platform; (3) we anchor every build to a measurable outcome and stand behind the result.

Light strategy only — enough to scope the right build. We don't sell month-long strategy engagements. If you need pure strategy without delivery, we'll happily refer you to people who specialise in that.

Three options: call 02 4503 6830, use the request info form on our home page, or visit our about page to learn more about us first.