AI-native consulting · Australian health, government & regulated enterprise
A digital workforce for operations that can't fail.
Governed like critical infrastructure.
We design, build and govern bespoke Digital Workers — AI systems with a defined scope of work, an audit trail and a human accountability chain — for Australian health, government and regulated enterprise. Deployed inside your boundary, engineered with the discipline behind national platforms serving 23M+ Australians.
The workforce
Digital workers, governed like critical infrastructureEvery Digital Worker is a multi-agent system with a defined scope of work — evaluated before deployment, audited in operation, and answerable to a named human. Built bespoke for your operation and deployed inside your cloud boundary, never a SaaS subscription with your data in someone else's tenant.
Clinical Document Analyst
Reads clinical documents and HL7/FHIR feeds, extracts conditions, medications and risk signals, and routes structured findings for clinician review.
Human review on every clinical output · full extraction audit trail
IN PRODUCTION — REMEDIANT.AIClinical Intelligence Analyst
Watches the aged-care clinical record for deterioration signals and compliance-relevant events, and assembles the evidence trail behind every flag.
Flags, never decides · every signal traceable to source records
IN PRODUCTION — REMEDIANT.AIReconciliation Auditor
Verifies every record that moves in a migration — source-to-target counts, field-level sampling, exception queues — and assembles the reconciliation evidence pack.
Exceptions queue to humans · evidence pack audit-ready
ENGAGEMENT PATTERN — BUILT TO ORDERCompliance Evidence Officer
Maintains the evidence base for quality standards continuously — collecting, classifying and filing as work happens, not in a pre-audit scramble.
Classification reviewed on sample · chain of custody preserved
ENGAGEMENT PATTERN — BUILT TO ORDERIntake & Triage Officer
Reads inbound referrals and requests, extracts the key fields, classifies and routes to the right queue with priority flags.
Confidence thresholds route edge cases to humans
ENGAGEMENT PATTERN — BUILT TO ORDERRecords & Disclosure Analyst
Searches records holdings against a scoped request, assembles the candidate document set, and flags exemption-sensitive content for the decision-maker.
Decision-maker holds release authority · nothing leaves unreviewed
ENGAGEMENT PATTERN — BUILT TO ORDERRoles your operation needs but you don't see here — that's what bespoke means. The Blueprint below finds them.
Services
One operating model, four disciplinesEach service stands alone; together they compound. The platform, rails and governance are built once — every Digital Worker after the first deploys faster and cheaper onto them.
Service 00 · The front door
Digital Workforce Blueprint
For operations that want the lowest-risk way to start.
Fixed scope, 2–4 weeks. We map your operation, shortlist the workloads a Digital Worker should run, size the platform and governance gap, project the ROI for each workload, and hand you the scope-of-work documents everything below builds from.
- Workload shortlist & prioritisation
- Platform & governance gap analysis
- Projected ROI per shortlisted workload
- Deliverable: executable scope-of-work documents
- works with → feeds 01 · 02 · 03 · 04
Service 01
Architecture Assurance & Design Authority
For programs that need designs to survive governance — AI or not.
Independent target-state review, solution assurance, migration and cutover discipline, and standing design authority. Five Digital Workers built ad hoc are five bespoke risks; five under one design authority are a workforce. The practice's classic service, available standalone.
- Architecture & solution assurance reviews
- Migration, cutover & rollback planning
- Standing design-authority arrangements
- works with → wraps 02 · 03 · 04
Service 02
Always-On Platform & Governance
For organisations moving AI from pilot to governed production.
The landing zone a digital workforce needs: LLM gateway, guardrails, evaluation and observability, human-in-the-loop controls — built on frameworks adopted as standard at a national health agency. A Digital Worker without this is a chatbot with production credentials.
- Gateway, guardrails & evaluation harness
- Observability & human-in-the-loop controls
- AI governance shaped for review boards
- works with → every Digital Worker deploys here
Service 03
Zero Trust Identity & Integration
The rails digital workers run on.
A Digital Worker is a non-human identity: it needs least-privilege access, policy-based authorisation and audited data feeds the way a human hire needs credentials and system access. System of Record integration, identity federation, Zero Trust controls.
- System of Record integration architecture
- Identity federation & policy-based access
- Zero Trust design for non-human identities
- works with → onboards every Digital Worker in 04
Service 04
Digital Worker Development
For operations with workloads a governed digital worker should be running.
Bespoke design, build and deployment of Digital Workers inside your cloud boundary — scope of work, evaluation harness, accountability chain and audit trail included. Each worker deploys onto the platform, over the rails, under the governance.
- Scope-of-work definition & workload analysis
- Multi-agent build with evaluation evidence
- Deployment in your tenant — you own it
- works with → 02 platform · 03 rails · 01 assurance
Method
Hired like staff, governed like infrastructureThe lifecycle every Digital Worker goes through — the same assurance discipline that kept 25 years of cutovers at zero unplanned outages.
Phase 1
Scope of work & ROI
Define the workload like a position description — boundaries, inputs, escalation paths, the named human accountable, and what "done well" measures as.
Phase 2
Build & evaluate
Built on the platform, tested against golden datasets and red-teamed before it touches production data. Evaluation evidence is a deliverable, not a promise.
Phase 3
Govern & deploy
Least-privilege identity, policy-based access, human-in-the-loop gates, full audit trail — then a rehearsed, reversible deployment. Nothing goes live that hasn't been tested against failure.
Phase 4
Operate & expand
Observability, drift monitoring and periodic re-evaluation in operation. Each next Digital Worker reuses the platform, rails and governance — your workforce grows like a team, not a chain of one-off projects.
Core principles
Design requirements, not aspirationsEvery Digital Worker engagement is built under five principles — the same ones running in production on remediant.ai today — aligned to the Australian Government AI Ethics Principles, the Voluntary AI Safety Standard and, where software meets a medical device boundary, the TGA Essential Principles.
01
Human in the loop
Autonomy is graduated to risk. High-stakes decisions carry named human sign-off — a Digital Worker escalates; it does not decide.
02
Transparency & explainability
Rules-first, no black boxes. Every output traces to the rule that fired, the evidence it read and the calculation it made.
03
Privacy & privileged access
Digital Workers are governed like high-privilege staff: least-privilege access, data minimisation, Australian data residency.
04
Equity & fairness
Outputs are monitored for disparate impact, and a person's own voice is never replaced by an inferred proxy.
05
Observability & accountability
Full tracing, immutable audit trails, and a named human accountable for every Digital Worker in operation.
Operational on remediant.ai in production — decision capture, signed deletion certificates, demographic drift monitoring, seven-year audit trail.
Selected work
The record the workforce is built on — outcomes as measuredTransport and Main Roads (Qld)
Architecture governance & assuranceChallenge
A multi-platform, cloud-native AWS transformation of Queensland's road safety camera enforcement systems needed independent architecture governance — including a contested enterprise integration platform question that had four organisational parties at an impasse.
Approach
Established the program's end-to-end architecture review function: formal risk-rated reviews with structured endorsement positions across five system architectures. Resolved the integration impasse by designing and chairing a criteria-based evaluation — agreeing the criteria across all parties before scoring a single pattern.
Outcome
All parties signed onto an endorsed integration position paper now governing the program's patterns; platform designs progressed from not-endorsable to conditionally endorsed across review cycles.
4 organisational parties alignedMeasurable design-quality uplift per review cycleeHealth Queensland
Migration & cutover assuranceChallenge
Replace the statewide Enterprise Master Patient Index and Enterprise Service Bus — systems every Queensland hospital depends on, 24/7 — without interrupting clinical care.
Approach
Phased migration architecture with data-quality remediation, identity survivorship design, staged cutover across Hospital and Health Services, and rehearsed rollback at every gate.
Outcome
Both platforms replaced across 5 Hospital and Health Services with full clinical continuity.
Zero unplanned clinical disruptions35% integration risk reductionAustralian Digital Health Agency
Identity, Zero Trust & national platformsChallenge
Design national-scale authorisation for health data access — federated across government credentials, trusted by every jurisdiction, and able to pass the Agency's own architecture scrutiny.
Approach
Zero Trust authorisation architecture with policy-based access control, federated identity across national credentials, and a conformance framework enabling a multi-vendor ecosystem.
Outcome
National authorisation platform endorsed; national data-exchange platform operating multi-tenant at scale.
90+ participants99.9% uptimeMetro North Health
Business case to funded programChallenge
Australia's largest Hospital and Health Service needed closed-loop medication management across 5 campuses — but first, an investment case executives would fund.
Approach
Enterprise solution architecture consolidating 7 clinical applications into a coherent target state, with a phased delivery model and a business case defended directly to investment committees.
Outcome
Funded program delivered across all campuses, serving 900,000+ patients annually.
$12M+ executive funding securedZero service interruptions in deliveryWhy Sielewicz Consulting
The premium is in what you avoidGoverned by design
Audit trails, human-in-the-loop controls and policy-based access are architecture, not paperwork bolted on for the review board. Compliance evidence accumulates as the workforce operates.
Inside your boundary
Your tenant, your data residency, your identity fabric. No SaaS subscription, no black box, no training on your data. When the engagement ends, you own and operate the workforce.
Calibrated honesty
Production tags on the roster mean production. Claims are made only where verifiable, and the practice states plainly what sits outside its depth. You get a firm whose word survives due diligence — because it's built to.
Our Digital Workers ship here first
Sielewicz Consulting runs its own production platform: remediant.ai, a clinical-intelligence system for Australian aged care — the environment where Digital Worker patterns are designed, evaluated and operated before any client engagement uses them.
The two production Digital Workers in the roster above run here — on serverless, event-driven architecture with FHIR ingestion and CI/CD quality gates, at current AWS service depth.
Advice grounded in production, not slideware.
The founder
The practice is built on 25+ years of enterprise and solution architecture across Australia's most consequential health and government programs — the national My Health Record platform now serving 23M+ Australians, the Australian Digital Health Agency's national authorisation and provider-data platforms, Queensland Health's statewide patient-identity and integration backbone, and Healthdirect Australia's transformation architecture.
Earlier chapters span Accenture, Fujitsu, and London consulting — with delivery across education, transport, utilities, and telecommunications alongside the health and government core.
One number summarises the practice standard: across every mission-critical cutover designed in 25 years, unplanned outages total zero.
Founded and led by Jakub Sielewicz
Insights
Free — no email wallWorking notes from the practice — the frameworks and production lessons behind the services, published in full. No forms and no gating, on a site that sets no cookies.
Workload selection
Which workloads should a Digital Worker run first?
A five-test scoring framework for shortlisting the work a governed AI system should take on first — with a worked example, and the red flags that say wait.
Read the framework →Platform & governance
From pilot to governed production
Why AI pilots stall at the review board, not in the model — and the seven-component landing zone a first Digital Worker deploys onto.
Read the architecture →From production
What production teaches: running Digital Workers on remediant.ai
Five lessons from operating clinical-intelligence workers in production — decision capture, drift, deletion, escalation and identity.
Read the lessons →Frequently asked questions
The practical detailsWhat exactly is a Digital Worker?
A multi-agent AI system with a defined scope of work, built bespoke for one operation — it reads, classifies, drafts, reconciles or assembles within set boundaries, escalates outside them, logs everything it does, and answers to a named human. Not a chatbot, and not a SaaS licence.
Who actually does the work?
Every engagement is directed by the founder — the architect behind the national platforms in the record above. Digital Workers are built on the practice's production platform patterns and operate under a named human accountability chain. No offshore bench, no subcontract chain, no juniors learning on your program.
Where do Digital Workers run, and who holds the data?
Inside your cloud boundary — your tenant, your region, your identity fabric, your audit trail. The practice holds no client data and sells no subscription; when the engagement ends, you own and operate the workforce.
What engagement models does the practice offer?
The Digital Workforce Blueprint (fixed scope, 2–4 weeks), fixed-scope build engagements, and standing design-authority or advisory arrangements. All contracting is via Pty Ltd/ABN; rates depend on scope and are best discussed directly. Capacity is open for new engagements, with a start typically possible within a fortnight of agreement.
What does Baseline security cleared delivery mean for our program?
The founder holds a current Baseline security clearance under the Australian Government Security Vetting Agency framework, permitting work on OFFICIAL and PROTECTED systems from day one — removing the 3–6 month vetting delay programs face when onboarding uncleared consultants.
How does remediant.ai relate to client work?
remediant.ai is the practice's own self-funded platform in aged-care clinical intelligence — the production environment where Digital Worker patterns ship first. Where any engagement could raise a conflict, it is disclosed before contracting.
Can the practice provide references?
Yes — references from senior stakeholders across national and state health and government programs are available on request during engagement discussions.
Have a workload a Digital Worker should be running?
Book a consultation — a 30-minute conversation about your operation, the workloads within reach, and whether the practice is the right fit. It costs nothing and usually clarifies a lot.
Book a consultation