ServicesAutomation & AI

AI agents that read, decide and act on your own, governed knowledge.

Planner, specialist and reviewer agents working together, grounded in your documents, wikis, email and databases, with approvals, logging and guardrails on every run.

Multi-agent systemsRAG knowledgeClaude & GeminiAudit trail
Running
24/7 monitored
2-4 wksgoverned agent pilot
100%run history for audit
Cost capson every agent
RAGanswers cite sources
Live workflow · Agent run

How an agent run works, step by step

An illustrative agent pipeline. Each step lights up as it executes, with a human only where it matters.

Agent run
Running
WebhookCustomer query
Classify intentLLMClaude
Retrieve contextVector store (RAG)
Agent plansTool callingGemini
Call CRM toolMCP
Confident?Filter
Human approvalSlack
Send replyGmail
Log cost & sourcesData table
1
TriggerEmail, form or webhook
2
UnderstandExtract and classify
3
Agent decidesPlans the next step
4
RetrieveRAG over your knowledge
5
Human approvalSlack / Teams
6
Act and logCRM / ERP / audit
Agent run · supplier query
  1. Question received: "Where is my order 4471?"
  2. Agent plans: look up order, check policy, draft reply.
  3. Retrieved the shipping policy (page 3) and order record.
  4. Draft reply written in brand voice.
  5. Approved by the support lead.
  6. Reply sent. Run logged with cost and sources.
Real systems, running now

Running workflows from our portfolio

These are live automations we built and run for clients. Watch them execute node by node, exactly as they do in production.

BraunAbility

Automated Lead Discovery for Growing Businesses

Running

An always-on lead engine that searches the web every morning across rotating industries and cities, filters out directories and duplicates, reads each business website and contact page, scores the fit with AI and emails a daily digest of qualified leads.

Schedule TriggerEvery morning
Build search queriesCode
Search the webBrave Search
Pick candidate sitesCode
Skip sites already savedData table
Read the websiteFirecrawl
Read the contact pageFirecrawl
Prepare page textEdit Fields
Site loaded?Filter
Qualify the leadInformation ExtractorGemini
Extraction ok?Filter
Shape lead recordEdit Fields
Save leadData table
Good fits onlyFilter
Email me the new leadsGmail
15automated workflow steps
Every morningscheduled run
AIscores every lead
n8nBrave SearchFirecrawlGmailGoogle Gemini
BraunAbility

AI Content Engine for LinkedIn Visibility

Running

An agent that keeps a brand visible on LinkedIn without the weekly scramble. It plans each post by rotating service topics, audiences and formats, checks recent topics so the feed never repeats, drafts a practical post in the brand voice and publishes it with a link card back to the website.

Schedule TriggerWeekly
Plan next postCode
Write LinkedIn postBasic LLM ChainGemini + Post format
Remember topicCode
Post to LinkedInLinkedIn
7workflow steps
Rotatingtopics and formats
0repeat posts
n8nLinkedInGoogle Gemini

See the full portfolio

What it is

Agents that work like a reliable team member

Agentic systems read, decide, act and escalate, with permission-aware retrieval over your own content and a human wherever judgement matters.

Agents answer from your own knowledge
01

Agentic AI and multi-agent systems

Planner, specialist and reviewer roles working together on a task.

02

RAG over your knowledge

Retrieval over your documents, wikis, email and databases with access control.

03

Tool use and MCP

Agents that call your systems through standard, permissioned tool access.

04

Evaluation harness

Test sets and scoring so quality is measured before and after every change.

05

Human-in-the-loop

Escalation when confidence is low and approvals for sensitive actions.

06

Governance hooks

Run history, cost caps and risk controls aligned to your AI policy.

Typical use cases

Where Agentic AI & RAG makes the difference

01

Knowledge assistant

Staff ask questions in plain English and get answers with links to your own policies and documents.

02

Customer support agent

Look up orders, draft replies and create tickets, with approvals for anything sensitive.

03

Research and reporting agent

Gather information from approved sources, summarise it and log every source used.

04

Internal operations agent

Handle repetitive requests across CRM, email and ticketing with guardrails and an audit trail.

Plan, retrieve and act with guardrails
Plan, retrieve and act with guardrails
A full audit trail for every action
A full audit trail for every action
Modern stack

Tools and standards we use

We choose what fits your risk and budget rather than locking you into one vendor.

ClaudeLong-context reasoning and agents
GeminiFast multimodal models
LangChainAgent and RAG framework
n8nOrchestration and approvals
SupabasePostgres, auth and pgvector
PostgreSQLReliable relational store
Pinecone & QdrantVector search for RAG
MCP serversStandard tool access for agents
Pricing

Choose the plan that fits

Each plan has a one-time setup fee and a monthly subscription covering hosting, monitoring, updates and support. Pay annually and get 2 months free.

Individual / Professional

Sole traders, consultants and small teams

Setup (one-time)A$3,900
MonthlyA$249/mo
  • 1 task agent
  • RAG over up to 100 documents
  • Daily health checks
  • Email and chat support
Get started
Most popular

Business

SMEs and growing teams

Setup (one-time)A$28,000
MonthlyA$3,000/mo
  • Up to 4 multi-agent systems
  • 50,000 documents, access-controlled
  • Role-based access, cost caps, evaluation harness
  • Managed or customer-tenant cloud
  • 99.9% uptime, 2-hr response
Book a consultation

Enterprise

Large, multi-team or regulated organisations

Setup (one-time)from A$65,000
Monthlyfrom A$7,500/mo
  • Custom agent fleet and orchestration layer
  • Enterprise search, permission-aware RAG
  • AI risk register, ISO 42001-aligned controls
  • Private cloud or on-premises
  • Named TAM, 1-hr critical response
Request a scoped quote

All prices in AUD and exclude GST. Enterprise is “from” pricing; a scoped quote follows discovery. Third-party licences are billed at cost plus handling. Minimum term 12 months for monthly subscriptions.

What you get

Clear deliverables, no surprises

  • Use-case selection and risk assessment
  • Document ingestion and retrieval setup
  • Agent design with tools and guardrails
  • Human-approval and escalation rules
  • Cost, quality and audit dashboards
  • Evaluation set and go-live checklist
Typical timeline

From kick-off to live

Week 1Pick the use case and prepare your content
Weeks 2-3Build retrieval, tools and guardrails
Week 4Evaluate on real questions and tune
Week 5Pilot launch with monitoring

Timelines depend on scope and access to your systems. Your fixed-scope plan confirms exact dates.

Who it is for

Built for the people who own the problem

Ideal buyer

Operations, finance and service leaders who want AI that does work, not just chat.

Questions we start with

  • Which tasks need judgement but follow clear rules?
  • What content should the agent be allowed to use?
  • Which actions need a human approval?

Results we measure

  • Task completion rate
  • Answer accuracy (eval score)
  • Hours saved
  • Escalation rate
How we work

From first call to running in production

01

Free consultation

We listen, review your context and agree the goals. No obligation.

02

Tailored proposal

A clear scope, plan and price you can take to your team.

03

Build and test

We deliver in short cycles with your team in the loop.

04

Launch and run

Go live, monitor, and keep improving under your SLA.

Common questions

What is agentic AI?

Agentic AI uses language models that can plan steps, call tools and complete tasks with limited supervision. We build them with guardrails, logging and human approval where needed.

What is RAG?

Retrieval-augmented generation lets AI answer from your own approved documents and cite them, instead of guessing.

How do you keep agents safe?

Cost caps, permissioned tools, evaluation tests, full run history and human approval for sensitive actions.

How fast can I see something working?

We scope a 2-4 week pilot after a free review of your top use cases.

Ready to put an agent to work?

Book a free consultation. No obligation, response within 24 hours.

  • Free situation and requirements analysis
  • Fixed-scope plan and transparent pricing
  • Reply from a real person within 24 hours

Quick enquiry

Or use the full form below. We never share your details.

Talk to us about Agentic AI & RAG

  • Non-binding initial consultation
  • Free situation and requirements analysis
  • Response within 24 hours
Zoya Khan, Head of Strategy & Sales
Zoya KhanHead of Strategy & Sales

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