AI implementation that proves
itself before it asks for more.

For process-driven organisations
ready for the next phase.

AVICENNA

Proof before promises.

FROM UNCERTAINTY TO NEW REVENUE

Want to use AI,
but don’t know
where to begin?

01 / FIND THE OPPORTUNITY

AI Audit

We sit with your leadership team and map the workflows driving revenue, cost and capacity. We identify bottlenecks, assess what is worth automating, and rank each opportunity by value, risk and effort.

OUTCOME One clear place to start, and the business case behind it.

Now you know what
to automate. How do
you make it real?

02 / BUILD THE SYSTEM

The 90-Day Build

We redesign the chosen workflow around AI, integrate it into your existing systems, test it against real work, and train your team to operate it.

OUTCOME A governed production system delivering measurable value, not another pilot.

What could your
domain expertise
become with AI?

03 / CREATE WHAT COMES NEXT

New Revenue Operations

Your business already has years of specialist knowledge, proven methods and valuable client insight. We combine that domain expertise with AI to create new revenue operations, products and services your company is uniquely positioned to deliver.

OUTCOME Defensible new offerings you can package, price and take to market.

Professional
Services.

From communications and consulting to legal, financial and advisory businesses, we work with leadership teams to find high-value opportunities, build production-ready systems, integrate them into existing workflows, and train staff to use them effectively at scale.

  • Communications
  • Consulting
  • Legal
  • Financial
  • Advisory
  • Accounting
  • Architecture
  • Engineering
  • Insurance

“Nofil is one of the most knowledgeable and insightful generative AI consultants I have ever worked with. His weekly generative AI updates are truly outstanding: a treasure trove of relevant, pre-digested content that is second to none.

Nofil is a thought leader I trust and tap into. I highly recommend Nofil and his company. You are in safe hands with him.

Portrait of Steve Delien
Steve DelienGlobal Lead Architect, SAP Generative AI Center of Excellence

CASE STUDY / CLAIMO

We built the AI engine that’s put over

$100M+

back into everyday Australians’ pockets.

THE CHALLENGE

Every banking refund claim meant a human reading dense documents, interpreting policy, and validating by hand. Around ten minutes each. Slow, costly, impossible to scale. 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.

THE RESULTS

From 10+ minutes
to under 10 seconds.

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

The “where” matters more
than the “how”.

Anyone can access AI now. The hard question is where it creates meaningful value without unacceptable risk. We find those workflows, redesign them around AI, and build governed systems that perform real work.

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.

Start a project

Tell us about your workflow. We’ll tell you where AI proves itself first, and what it’s worth. Or email [email protected].

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

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