Custom AI agent orchestration — Adelaide, South Australia

Custom AI agents that work alongside your team

Strategy and build under one roof. Claude preferred for the heavy reasoning. Multi model where another tool earns its place. Built into the CRM, knowledge base, and operational stack you already run, not bolted on the front. Adelaide based. Available across Australia and globally. For a plain English breakdown of the technology, read what AI agents are and what they do.

Book a free discovery call Start with a Workflow Review Adelaide based. Available across Australia. Free 20 minute call. No pitch.

What agents take on Adelaide based · Available across Australia

Nº001 — What you get

What agent orchestration actually delivers for Australian businesses

Most AI agent demos look the same. A pretty chat window, a hardcoded happy path, and a slide deck full of charts that do not connect to anything inside the business. The agent never gets near the CRM. It never sees the real customer messages. It never has to handle the case where a quote is half written, a job is waiting on a part, and the customer has rung twice already. That is not an agent. That is a marketing artefact.

PrizmaCore builds agents that do real work end to end. They sit inside your existing stack. They read from the systems that hold your operational truth. They write back to those systems. They handle the messy cases as well as the clean ones, because business is mostly messy cases. Three things every PrizmaCore agent engagement is built to deliver.

Customer triage and intake agents that move faster than a front desk

The front of the business is where most operational drag begins. Calls missed, emails read late, forms that sit in an inbox for a day before the right person sees them. A customer triage agent reads the inbound message, pulls the customer record if one exists, asks the two or three follow up questions a human would ask, and routes the result to the right team member with everything already attached. Quote requests land with the property type, scope, and rough timeframe captured. Service callouts land with the symptom, urgency, and history visible at first glance. The agent is not replacing your front desk. It is making sure the front desk only handles the calls and messages that actually need a human.

Internal knowledge agents that turn memory into a system

The single biggest operational risk in most Australian SMBs is institutional knowledge sitting in one or two people's heads. Twenty years of customer history, supplier quirks, recurring fault patterns, build sequence, the reason that one job took eight weeks longer than scoped. When those people are unavailable, the team improvises. An internal knowledge agent captures that material in a queryable system and turns it into something the rest of the team can search in plain English. Past jobs, SOPs, supplier notes, technical reference material, customer preferences. The agent reads across all of it and answers in context. The result is a business that recovers faster when staff change and stops paying the same lesson twice.

Technical diagnostic and document agents for expert level work

The work that takes the longest in trade and technical businesses is usually the diagnostic and documentation layer. Working through a fault tree on an unfamiliar vehicle. Writing the variation document for a build that has changed three times. Producing the assessment notes that compliance demands. A diagnostic agent walks a technician through the fault sequence, references the manual material, and captures the result for the job record. A document agent drafts the variation, the report, or the compliance note from the data the team already produced during the work. Built well, these agents save hours of expert time per week and lift the floor on what a less experienced team member can handle confidently.

Who this is for

A good fit

Australian SMBs and mid sized businesses where parts of the operation are clearly held together by one or two people, and the team is ready to put that knowledge into a queryable system.
Owner operators willing to spend a Workflow Review getting the diagnostic right before committing to a build. Agents that solve the wrong problem are expensive ornaments.
Trades, workshops, service businesses, RTOs, and professional services with high enquiry volume, complex jobs, or technical documentation pressure.
Larger businesses with a real internal need, real budget, and a champion willing to own adoption. Production agent systems scale up cleanly.

Nº003 — How it works

How it works

Free 20 minute discovery call

We confirm whether agent orchestration is the right shape of work for your business right now. If a piece of workflow automation in Adelaide or a wider business automation engagement is the better entry point, we say so. No pitch.

Workflow Review ($495)

The standard first paid step. A 60 minute review followed by a written report mapping where your operation is losing time, leads, and money, and where agents specifically add real value over simpler automation. Delivered the next business day. The review defines what gets built and in what order.

Agent strategy and roadmap

From the review we draft the agent roadmap. Every candidate agent ranked by commercial impact. The model choice for each one. The integration points. The expected return. The estimated cost. We sequence the build so the highest impact agent ships first and earns its place before the next one starts.

Build, integrate, evaluate

We build the agent on your real data, inside your real stack. Claude tends to handle the reasoning. Other models slot in where they fit. The agent gets evaluated against the edge cases your team actually hits, not a sanitised demo set. Integrations into your CRM, knowledge base, ticketing, accounting, or operational tools get wired up cleanly. You sign off before it goes live.

Live rollout, tuning, and staff handover

The agent goes live in a contained slice of the operation. Your team gets walked through how to use it, how to spot a failure, and how to give feedback. We tune from real use over the first two to four weeks. Documentation sits inside the tool itself. The agent earns trust by performing in real conditions before it scales further.

Ongoing partnership, optional

Agents are rarely a one off. New use cases get added. Model capability shifts. Prompts get refined as the team learns what to ask. Some clients run their agent system themselves from handover. Others stay on a light retainer for ongoing tuning, new builds, and orchestration work. Month to month. No lock in.

Nº004 — Tools and technology

Tools and technology

PrizmaCore is model and tool agnostic on purpose. The right tool depends on the agent. The stack you will most often see inside a PrizmaCore agent orchestration engagement:

Data handling

Sovereign Australian AI compute is on our roadmap. Custom small language models on NVIDIA hardware inside Australian jurisdiction so business data stays where it should. Until that ships, current builds use the providers below under their published data handling terms and are designed with that migration path in mind.

Anthropic Claude

Our default reasoning model for any agent that needs judgment rather than rules. Customer triage, technical reasoning, document drafting, internal knowledge retrieval, and any case where a human would normally have to think before answering. We use Claude Sonnet and Opus depending on the latency and reasoning depth the agent needs.

OpenAI GPT-4o and o1

Used where Claude is not the right pick. GPT-4o for fast multi modal work. o1 for deep reasoning tasks where the model needs to plan before answering. Per task, not per loyalty.

Google Gemini

Used for long context document work, multi modal ingestion, and specific use cases where Gemini's tool calling and Google Workspace integration earns its place.

Make.com and n8n

The orchestration layer underneath most agent builds. Make for fast iteration and broad integration. n8n where the workflow needs to be self hosted, kept inside Australian jurisdiction, or run at higher volume.

Notion

The operational surface most engagements run on. SOPs, agent inputs, team dashboards, and the page staff open every morning. Custom agents write into Notion so the business runs on a single source of truth.

Airtable

Default structured data layer when the client does not already have a CRM. Strong API, clean for lead pipelines, job records, and agents to read and write against without custom backend work.

Twilio

SMS, voice, and WhatsApp delivery for customer triage agents, follow up agents, and missed call recovery flows. Reliable, cheap, stays out of the way.

Custom API integrations and code

Where off the shelf does not fit. Direct integrations into your CRM, accounting system, ticketing platform, ServiceM8, Tradify, AroFlo, or bespoke internal tools. Full stack capability when an agent needs to be wrapped in a custom application.

Built the way we build for clients

PrizmaCore runs its own production multi-agent system at orchestrator.company — real orchestrated agent work, not a case study written after the fact. 11.6B+ tokens orchestrated, 656 documented sessions, a 17 skill library. If you want to see agent orchestration held to the same standard we hold client work to, that is where to look.

Nº005 — Pricing

Pricing and engagement

Agent orchestration is bespoke work. There is no productised price because there is no productised agent. The engagement scales from a single proof of value agent to a multi quarter production system. The standard entry point is the $495 Workflow Review.

Standard first step

Workflow Review

The 60 minute paid diagnostic. Written report and prioritised action plan by the next business day. Maps where agents add real value, where simpler automation is the better answer, and where neither is the right move yet. Money back if implementation does not lift productivity or profit.

$495

AUD

See the Workflow Review →

Beyond the review

Proof of value

First agent build

A specific agent built end to end. Customer triage, internal knowledge, diagnostic, document drafting, or follow up. Quoted directly after the Workflow Review identifies the highest impact build. Smaller proof of value agents ship in three to six weeks.

Scoped

Production system

Multi agent orchestration

The wider play. Multiple agents, shared knowledge layer, evaluation harness, staff training, and ongoing orchestration. Sized at discovery, sequenced in phases so the first agent earns its keep before the next one ships.

Quoted

Case by case

Larger production agent systems are quoted case by case after a discovery call. Pricing depends on the number of agents in scope, the integration depth, the evaluation rigour, and the ongoing tuning and support the engagement needs. We do not publish made up ranges. The Workflow Review pays for the honest number.

Nº006 — Questions

Frequently asked questions

Straight answers, no jargon. Ask anything else on the call.

What is AI agent orchestration and what does it actually do?

AI agent orchestration is the discipline of designing, building, and running AI agents that handle real work inside a business. Not chatbots. Not demos. Agents that read from your systems, do something useful, and write the result back. Customer triage, internal knowledge retrieval, technical diagnostic, document drafting, and admin work that previously needed a person. Orchestration means the agents work together where they need to, escalate to humans where they should, and operate inside the existing operational stack rather than as a separate tool nobody opens.

Why use Claude as the default model for business AI agents?

Reasoning quality. Most useful agent work involves judgment, not template filling. Customer messages that do not match a script. Diagnostic work that requires holding several factors at once. Document drafting that needs to weigh tone, context, and the audience. Anthropic Claude tends to handle that kind of reasoning better than the alternatives at the time of writing, particularly Claude Sonnet for fast judgment and Claude Opus for deep reasoning. We use other models when they are the right pick for a specific task. We pick the model per use case, not per loyalty.

Can AI agents work with our existing CRM and tools?

Yes. Almost every PrizmaCore agent build sits inside the stack the client already runs. Common integrations include HubSpot, Pipedrive, Salesforce, Zoho, ServiceM8, Tradify, AroFlo, Notion, Airtable, Google Workspace, Microsoft 365, Xero, MYOB, and bespoke internal databases. Where a public API exists, we integrate directly. Where it does not, we use the low code orchestration layer underneath. Replacing your CRM is rarely the right answer. Wrapping an agent around the one you already trust usually is.

What is a typical first AI agent build for a small business?

Most clients start with one of three. A customer triage agent that reads inbound enquiries, captures the right detail, and routes to the right team member. An internal knowledge agent that turns SOPs, past jobs, and supplier notes into something the team can query in plain English. A document or quote drafting agent that writes the first draft of a document the business produces regularly, using the data the team has already captured. We pick the first agent based on what the Workflow Review identifies as the highest commercial impact for your specific operation.

Do you build voice or vision agents as well as text agents?

Yes when the use case earns it. Voice for inbound call triage, dictation workflows, and after hours customer handling. Vision for document processing, image based diagnostics, inventory work, and any case where the input is a photo rather than a form. Multi modal capability sits inside the model layer now and we use it where it removes a real friction point. We do not bolt voice or vision onto a build because it sounds impressive. The use case has to justify it.

How much does custom AI agent development cost in Australia?

Custom AI agent development in Australia ranges widely. A focused proof of value agent built end to end usually lands in the low to mid four figures depending on integration depth. A production agent system with multiple agents, a shared knowledge layer, evaluation harness, and ongoing orchestration scales into five and six figures across a multi quarter rollout. The standard first paid step is the $495 Workflow Review, which gives you the honest scope and the honest number for your specific operation before any build cost is committed. We do not publish artificial ranges.

Will AI agents replace my team or work alongside them?

Work alongside. Every PrizmaCore agent is designed to take repetitive admin and information retrieval off the team so they can do the work that actually requires them. Quote chasing, data entry, status updates, knowledge lookups, document drafting, triage. That is what gets handled by agents. The judgment work, the customer relationships, the trade skill, the operational decisions, those stay with your team and get faster support from the agents around them. We have not built a system designed to make a working team smaller. We build them so a small team can run like a larger one without burning out.

Ready to put an agent to work where it actually pays back?

Free 20 minute discovery call. We work out whether agent orchestration is the right next move for your business, or whether a Workflow Review or focused AI consulting in Adelaide engagement is the better starting point. Honest fit assessment. No pitch.

Free discovery call20 minutes, no commitment
Workflow Review$495 AUD. The standard starting point.
Build and rolloutScoped after review. Sequenced in phases.
Ongoing orchestrationOptional. Month to month. No lock in.

Nº007 — Free, 20 minutes

Let's talk

Just a conversation.

Book a discovery call Or start with a Workflow Review ($495) →

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