DahliaIvy Contact

Regulated operations · human supervised

AI-assisted regulated operations. Humans stay accountable.

Dahlia is a human-supervised AI workbench that helps regulated and quality-managed teams complete substantive operational work using their own organisational context, requirements, documents and evidence. Ivy is the AI helper inside it.

Dahlia can review information, identify gaps, propose practical actions and prepare regulated work for professional review. Qualified people remain responsible for judgement, amendment, approval and use of the result.

See how Dahlia works Contact the founder
Controlled pilot in progress · First proof market: Australian community pharmacy
A full blush dahlia bloom with a graceful stem and restrained leaves
DahliaThe workbench
IvyThe AI helper

The operational problem

Qualified people are spending too much time doing the work around the work.

Regulated teams already have people who understand their responsibilities. The burden often sits in the operational work around those responsibilities: interpreting requirements, finding and reviewing evidence, investigating issues, preparing actions, drafting records and maintaining controlled documentation.

In smaller and under-resourced organisations, much of that work falls back onto the same qualified people already responsible for delivery.

Dahlia is being built to take on more of that substantive operational workload while keeping professional judgement and approval with the accountable person.

How Dahlia works

Dahlia prepares the work. The accountable professional decides.

The same controlled pattern can be applied across different regulated workflows, source frameworks and organisational contexts.

  1. 01

    Understand the organisation

    Capture services, people, systems, constraints and the context that changes what a workable answer looks like.

  2. 02

    Review sources and evidence

    Consider organisational information alongside the applicable requirements, documents and evidence.

  3. 03

    Identify gaps

    Surface missing, inconsistent or unsupported controls and show what needs further attention.

  4. 04

    Propose remediation

    Develop practical actions proportionate to the organisation instead of generic compliance recommendations.

  5. 05

    Prepare the work

    Draft proposed document updates, investigation records, action plans or other operational outputs for review.

  6. 06

    Human review and approval

    A qualified person accepts, changes or rejects the work and remains responsible for the final decision.

Core principle

The goal is not autonomous compliance. The goal is to reduce the preparatory and operational work sitting with the person who must ultimately make the decision.

Where Dahlia fits

One workbench for regulated and quality-managed operations.

The underlying operating model targets regulated work wherever evidence, controlled processes, documented decisions and accountable human review matter. Pharmacy is where that model is first being proven.

First proof market Pilot in progress

Australian community pharmacy

Community pharmacy is a useful first environment for proving the model: clinical governance, service delivery, documentation, evidence and accreditation expectations are increasing while many pharmacies operate without large dedicated quality teams.

The current controlled pilot is focused on quality documentation, evidence review, gap assessment, remediation planning and draft updates, with pharmacist review and approval retained.

Join the pharmacy waitlist
Platform scope Regulated organisations

Regulated organisations

Dahlia is designed for regulated and quality-managed organisations where requirements, evidence, controlled processes and accountable human decisions matter.

The underlying operating model is applicable across pharmaceutical and biotech operations, medtech and medical devices, clinical research, healthcare providers and other regulated or ISO 9001-based quality environments. Community pharmacy is the first environment in which the model is being tested. It is not the boundary of the product. Capabilities will expand by workflow, source framework and jurisdiction as the product develops.

Discuss a future use case
Community pharmacy Pharmaceuticals Biotechnology Medtech & medical devices Clinical research Other regulated & quality-managed organisations

The product

A regulated-operations workbench for the work between requirements and approval.

Dahlia is intended to work with the systems organisations already use. Its role is to help carry out substantive regulated work — using organisational context, source requirements and evidence — while keeping review, approval and the authoritative record under human control.

Controlled pilot

Assess & remediate

  • Organisational intake and reusable business context
  • Requirements and source review
  • Document and evidence review
  • Gap assessment
  • Remediation planning
  • Proposed controlled document and record updates
  • Human correction, review and approval
Planned

Investigate & improve

  • Incidents and deviations
  • Structured investigations
  • Root-cause analysis using established methods
  • CAPA proposals
  • Controlled document revision
  • Effectiveness follow-up
Planned

Operate & evidence

  • Actions and operational evidence
  • Audit and inspection preparation
  • Supplier and vendor quality workflows
  • Training and competency evidence
  • Controlled evidence capture during routine work
Longer term

Connect & scale

  • Reusable organisational context across workflows
  • Connection to approved SharePoint, document-management and quality environments
  • Regulatory and source-change monitoring
  • Configurable standards, source packs and jurisdictions
  • Optional expert review pathways
  • Human-controlled approval and release into the organisation’s system of record

Planned capabilities describe product direction and are not currently available functionality.

Meet Ivy

The AI helper inside Dahlia.

Ivy works inside Dahlia with the organisation’s context, source material, documents and evidence. It can help identify missing information, ask targeted questions, organise evidence, develop proposed actions and prepare work for review.

Ivy supports the work. It does not become the accountable decision-maker. Qualified people determine what is correct, what is appropriate and what is approved.

Australian community pharmacy

Join the pharmacy waitlist.

Dahlia is currently being tested with Australian community pharmacy as its first proof market. Join the waitlist to hear about future pilot and early-access opportunities.

We’ll use these details only to contact you about Dahlia pilot or early-access opportunities. Do not include patient, confidential or sensitive information.

About DahliaIvy

Built from regulated operations, not from a generic AI use case.

DahliaIvy was founded by Priscilla Thiyageas, a quality and operations leader with experience across regulated life sciences, supply chain and clinical-trial environments.

The product is being built around a practical observation: regulated teams do not necessarily need another place to store work. They need more help getting substantive work done without weakening the controls or professional accountability their environments require.

Direct correspondence: hello@dahliaivy.com

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Interested in DahliaIvy?

Use this form for product and use-case conversations, investment or funding enquiries, partnerships, advisory discussions, accelerators, grants or anything else.

Prefer email? hello@dahliaivy.com

We’ll use the information you provide to respond to your enquiry. Do not include confidential, patient or other sensitive information.

DahliaIvy

More of the regulated work done. Accountability stays with your team.

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