Enterprise AI systems for consequential work.

Avicenna leads defined transformation workstreams from opportunity strategy and workflow redesign through governed production, evaluation and operational scale.

AVICENNA
A$100M+returned to Australians through one deployed system
60×faster claim assessment
99%+validated production accuracy
40,000+applications supported annually

CAPABILITIES

From mandate to measurable operation.

01 / DEFINE THE MANDATE

Opportunity & Transformation Strategy

Identify where AI can materially change capacity, margin or service delivery.

WHAT WE DO

We assess the operating model, map the workflows that drive enterprise value, and sequence the opportunities by economics, feasibility, risk and organisational readiness.

OUTCOME A prioritised transformation portfolio with ownership, economics and risk defined.

02 / OWN THE WORKSTREAM

Production AI Systems

Move a priority workflow from concept to controlled production.

WHAT WE DO

We redesign the workflow, architect and integrate the system inside your environment, validate it against real work, and establish the operating model required to run it.

OUTCOME A secure, integrated production system with named operational ownership.

03 / PROVE AND SCALE

Evaluation, Governance & Scale

Establish the evidence and controls required for responsible expansion.

WHAT WE DO

We create evaluation suites, authority boundaries, monitoring, escalation paths and continuous-improvement loops so performance remains visible as the system expands.

OUTCOME A system leadership, risk, security and operations can govern with confidence.

WHEN AVICENNA IS BROUGHT IN

Built for work where judgement, revenue and risk meet.

We work with leadership teams when a workflow is high-volume, expert-led, expensive to scale and too consequential to automate carelessly.

01

Enterprise transformation

Lead a priority AI workstream from investment case and workflow redesign through controlled production.

02

Consequential operations

Build governed systems for regulated, high-value processes where accuracy, traceability and human accountability are mandatory.

03

Consulting-led delivery

Own specialist implementation workstreams inside broader programmes, client environments and established governance structures.

We built the AI engine that’s put over

$100M+

back into everyday Australians’ pockets.

Every banking refund claim meant a human reading dense documents, interpreting policy, and validating by hand. Around ten minutes each. The backlog was the business.

HOW WE BUILT IT
01

Governance, codified into sub-agents

We split the workflow into specialised sub-agents: extraction, policy interpretation, compliance validation. Each with its own guardrails. Governance stopped being a document nobody reads and became executable: every rule enforced in code, at every step, on every claim.

02

Traced end-to-end, then patched with sub-agents

We instrumented every agent so we could see exactly where a claim went sideways. When a path failed, we didn’t rewrite the system. We dropped in a targeted sub-agent to catch that edge case. Reliability climbed with every trace, without ever destabilising the core.

03

Evals that make “good” a number

We built evaluation suites scoring every agent on accuracy, policy adherence and consistency against a golden dataset. So “is it working?” became a measurement, not a guess. Every change was proven before it shipped. Accuracy went up, and stayed up.

From 10+ minutes
to under 10 seconds.

60× faster claim assessment
more claims processed without adding headcount
99%+ validated accuracy, maintained at production scale

Production AI is an operating model, not a model choice.

We begin with the work, define authority and accountability, design the technical system around those boundaries, and increase autonomy only when production evidence supports it.

Where should you implement AI first?

We assess workflows by the time they consume and the financial value they influence. High-time, high-value workflows are the strongest starting point. The assessment also weighs:

  • Cost of errors
  • Implementation difficulty
  • Data availability
  • Regulatory sensitivity
  • Adoption likelihood
  • Strategic importance
VALUE TIME →
Quick winsLow time · High value
Start hereHigh time · High value
DeprioritiseLow time · Low value
AutomateHigh time · Low value

More work.

Discuss a transformation mandate.

Brief us on the operating context, the workstream and the outcome you’re accountable for. Or email contact@avicenna-global.com.

We’ll get back to you within two business days.

Thank you. Your message has been received. We’ll be in touch shortly.