All-in AI. Intelligence. Automation. Impact. AI & GenAI solutions that drive your business forward.

Enterprise AI that survives contact with the real world

We design, build and run AI and GenAI systems for enterprise, government and regulated industries. Advisory through to production delivery โ€” and we build our own platforms, so we know what it takes to keep one running.

๐Ÿ‡ฆ๐Ÿ‡บ Sydney-basedยทAustralian-ownedยทWorking with NDIS providers today
What we do

Four capabilities. Endless applications.

Technical depth, delivered with business sense. Every engagement ends in something that runs in production โ€” and stays running.

GenAI Solutions
01 / 04
GenAI Solutions

Custom generative AI, engineered for production.

LLM applications, RAG systems and agentic workflows tailored to your data and domain. From prototype to enterprise-ready deployment.

Retrieval-augmented generationAI agents & copilotsCustom GPT platformsFine-tuning & evaluation
Decision Intelligence
02 / 04
Decision Intelligence

Turn complex data into decisive advantage.

Analytics, forecasting and machine learning that surface what matters. Dashboards, risk analytics and decision support for complex operations.

Predictive modellingDecision supportRisk analyticsProject intelligence
Intelligent Automation
03 / 04
Intelligent Automation

Eliminate manual work. Accelerate decisions.

AI-driven process automation for document intelligence, workflow orchestration, and integrations that scale across the enterprise.

Document intelligenceWorkflow orchestrationData pipelinesAPI integration
Strategy & Advisory
04 / 04
Strategy & Advisory

Real AI roadmaps. Responsible adoption.

Readiness assessments, use case prioritisation, governance frameworks and rollout support for enterprise and government at scale.

AI maturity assessmentUse case prioritisationResponsible AIEnterprise rollout
What we build

AI platforms engineered to ship.

From enterprise copilots to compliance automation, we design and deploy real AI systems that earn their keep โ€” including our own.

Enterprise AI Assistants

AI copilots that analyse company data and support decision-making. Internal knowledge assistants, document analysis copilots and domain-specific agents.

Compliance & Evidence Automation

Document extraction, rule-driven validation and evidence workflows for regulated operations โ€” with versioned rules, an audit trail and human sign-off where it counts.

Decision Intelligence

Analytics and dashboards that turn raw data into clear decisions. Predictive modelling, risk analytics and operational intelligence for complex environments.

Custom GenAI Platforms

Retrieval-augmented generation, custom GPT platforms, embedded AI tools and copilots integrated directly into enterprise workflows.

Data Engineering & Integration

Python data pipelines, web scraping, API integrations and secure microservice architectures on AWS, Azure or GCP, ready for enterprise environments.

AI Strategy & Governance

Maturity assessments, use case prioritisation, responsible AI frameworks and rollout support for enterprises and government agencies.

Engineered on
Large Language Models
RAG
Python
AWS / Azure / GCP
Machine Learning
Enterprise Security
Case study

We don't just advise. We ship platforms.

CareOps is our compliance and claim assurance platform for Australian NDIS and aged care providers. Same team, same engineering standard we bring to client work.

In use with Australian NDIS providers

CareOps

Disability and aged care providers lose real money and real time to the paperwork around care: audit evidence scattered across shared drives, claims rejected weeks after the support was delivered, and no defensible trail when a regulator asks.

CareOps sits across the provider's care system, roster and payment files and turns that mess into something checkable. The regulatory logic is versioned data, not code buried in a prompt โ€” so when a standard or a price limit changes, the platform changes with it, and every past finding still says which version it was judged against.

  • Registration & audit readiness
    Provider policies are read against the NDIS Practice Standards, gaps are reported outcome by outcome with citations, and the remediation drafts land in a sign-off queue.
  • Claim assurance
    Every claim line is checked against the plan budget, price limits, the roster and the evidence behind it โ€” before submission, not after a rejection.
  • Shift evidence capture
    Support workers record what happened in their own language; it becomes timestamped, structured evidence attached to the shift it belongs to.
careops ยท claim assurance
412
Lines checked
37
Blocked
$18.4k
At risk
Findings
rules v2025-26.0.1
  • Block
    NO_EVIDENCE01_011_0107_1_1
    Shift delivered, no evidence recorded
  • Block
    PRICE_OVER_LIMIT01_015_0107_1_1
    $4.10/hr above the weekday evening limit
  • Warn
    BUDGET_LOW04_104_0125_6_1
    Core budget 92% consumed, plan ends in 26 days
  • Warn
    QTY_EXCEEDS_SHIFT01_011_0107_1_1
    Claimed 8.0h against a 6.5h rostered shift
  • Pass
    PASSED01_013_0107_1_1
    Matched to roster, evidence attached
Corrected batch held as a draft artefact until a named person signs it off.
Illustrative view. No participant or provider data shown.
Industries

Deep expertise where it matters.

Our centre of gravity is regulated, evidence-heavy operations โ€” care, government and critical infrastructure. Each engagement starts from a concrete problem, not a tech demo.

Health, Disability & Aged Care

Compliance, claiming and evidence for providers operating under the NDIS and Aged Care Quality Standards. This is where our own product, CareOps, runs โ€” so the patterns are ours, not borrowed from a vendor deck.

Use cases
  • โ†’
    Audit & Registration Readiness
    Read a provider's policies and records against the standards in force, report the gaps outcome by outcome with citations, and draft the remediation for a human to sign.
  • โ†’
    Claim & Revenue Assurance
    Validate claim lines against plan budgets, price limits, the roster and the evidence behind them, so errors are caught before submission rather than rejected weeks later.
  • โ†’
    Frontline Evidence Capture
    Multilingual voice and note capture from support workers, turned into timestamped, structured evidence linked to the shift it belongs to.
How we built CareOps
Enterprise & Government
02 / 06

Enterprise & Government

Knowledge automation, secure AI deployment and responsible intelligent workflows for sensitive data and regulated environments.

Use cases
  • โ†’
    Secure Knowledge Assistants
    AI copilots deployed inside your environment, giving teams instant access to institutional knowledge without the data leaving your control.
  • โ†’
    Compliance & Document Automation
    High-volume, high-trust document workflows where accuracy and auditability are non-negotiable, with a human in the loop at the point that matters.
  • โ†’
    Responsible AI Rollout
    Governance frameworks, risk controls and rollout support aligned with public sector and enterprise requirements.
Construction & Infrastructure
03 / 06

Construction & Infrastructure

Where we cut our teeth: tender programs, construction sequencing, critical path analysis and forensic delay modelling for Tier 1 contractors.

Use cases
  • โ†’
    Schedule Intelligence
    Analyse Primavera P6 and MS Project schedules to detect logic errors, critical path risks and optimisation opportunities.
  • โ†’
    Tender Programs & Delay Analysis
    Generate structured tender programs from scope documents in hours, and quantify delay and extension of time exposure with forensic rigour.
Energy
04 / 06

Energy

Asset optimisation, predictive maintenance and demand forecasting for generators, utilities and grid operators navigating the transition.

Use cases
  • โ†’
    Predictive Maintenance
    Predict equipment failure before it happens using sensor data, maintenance logs and machine learning models.
  • โ†’
    Demand & Generation Forecasting
    Forecast load and renewable output with higher accuracy to optimise dispatch and storage decisions.
Water
05 / 06

Water

Network analytics, asset intelligence and treatment optimisation for water utilities operating at scale under tightening regulation.

Use cases
  • โ†’
    Leak & Anomaly Detection
    Detect leaks, pressure anomalies and non-revenue water events earlier using network sensor data.
  • โ†’
    Treatment Process Optimisation
    Optimise chemical dosing, energy use and treatment outcomes through AI-driven process models.
Transportation
06 / 06

Transportation

Operational analytics, maintenance intelligence and scheduling decision support for rail, road and logistics operators.

Use cases
  • โ†’
    Fleet & Asset Maintenance
    Predict maintenance needs and asset life using telemetry, inspection data and AI-driven models.
  • โ†’
    Scheduling & Resource Optimisation
    Optimise timetables, crew allocation and resource deployment against shifting demand patterns.
Our approach

Advisory and delivery.

We don't hand you a strategy deck and walk away. We go from whiteboard to production and stay accountable for the outcome.

Phase 01

Discover

We learn your business, your data and your constraints. We identify where AI genuinely creates value, and where it doesn't.

Phase 02

Design

We design a solution that fits your environment, considering security, cost, maintainability and your team's capabilities.

Phase 03

Deliver

We build, deploy and integrate. Rapid iteration, transparent progress, production-grade code. Not a slide deck.

Phase 04

Scale

We stay with you through measurement, refinement and expansion, or hand over cleanly to your team with full documentation.

About

Built by senior practitioners.

All-in AI is a team of people who've actually built this stuff before. Senior engineers, solution architects, domain specialists and product leaders, all with 15+ years of getting production AI systems to work in complex industries.

We were founded to bridge the gap between what AI promises and what AI actually delivers in the real world. We work two ways: as the AI and GenAI partner for enterprise and government clients, and as the builder of our own platforms โ€” most recently CareOps, the compliance and claim assurance platform now in use with Australian NDIS providers.

Building and operating our own product changes the advice we give. We have had to answer the awkward questions ourselves โ€” data residency, auditability, what happens when a regulation changes, who signs off when a model is wrong โ€” and we bring those answers with us to client work.

15+ years experience

Our team brings over 15 years of experience in AI, data engineering and delivering complex enterprise systems.

Engineers, not just advisors

Senior AI and GenAI engineers working alongside solution architects and product owners who ship. We design, build and deploy, we don't just recommend.

We run our own products

CareOps is ours: built, operated and supported by this team for Australian NDIS and aged care providers. We carry the pager on production AI, not just the slide deck.

Get in touch

Let's talk about your problem.

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contactus@all-in-ai.com.au