Assurance Advantage

Helping Finance lead confidently in the Agentic era


Leadership Masterclass to redesign how Finance decides, controls and scales in an Agentic world.

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The Finance leader's job is changing

Finance is moving from controlling work to governing increasingly machine-executed decisions.

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Why this is happening now

Agentic AI is moving from assisting Finance to executing Finance.

Copilot

Recommends actions for finance teams

Agent

Executes tasks with human oversight

Multi-agent

Coordinates complex workflows autonomously

Agentic Finance

Plans, executes and coordinates financial work with fewer human touchpoints.

As more financial work becomes machine-executed, Finance must redesign how work is governed, evidenced and owned.

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Finance's new dilemma

Accelerate without weakening the controls, evidence and accountability behind critical decisions.

ACCELERATE
  • Productivity
  • Lower cost
  • Faster close
  • Real-time planning
  • Better decisions
PROTECT TRUST
  • Accuracy
  • Controls
  • Auditability
  • Accountability
  • Regulatory compliance

ENGINEER ASSURANCE INTO THE WORKFLOW

Assurance is not a brake on speed. It is the architecture that allows Finance to scale intelligent work with confidence.

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The cost of inaction

It isn't neutral. It compounds — into value leakage, control debt and operating-model mismatch.

01

Value leakage

Capital flows into AI activity without measurable economic outcomes. Finance funds experiments instead of results.

02

Control debt

Agentic execution expands faster than evidence, authority and accountability can be established.

03

Operating-model mismatch

Finance remains optimised for human execution while consequential work increasingly becomes machine-executed.

The risk is not adopting AI too slowly. The risk is scaling AI without redesigning how Finance governs consequential work.

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Finance leadership needs a new operating model.

A continuous loop of judgment, assurance, investment and scale.

CHOOSE

Where should agents act — and where must human judgment remain?

ASSURE

How will Finance defend the work and the number?

FUND

What should Finance invest in, and what evidence is required?

SCALE

What evidence earns the next investment?

This is not primarily a technology decision. It is a Finance operating-model decision.

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Don't try to make agents deterministic. Make their work reconstructable.

Agent Acts

Autonomous agent executes a finance task

Evidence Captured

Auditable record of every action taken

Decision Reconstructable

Replayable decision trail, step by step

Exception Controlled

Anomalies handled by design, not surprise

Accountability Assigned

A named human owns every output

Number Signable

Finance can defend, reconstruct and stand behind the output.

The mechanism that operationalizes this: Assurance Ledger. From "the agent said so" → "Finance can show why."

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The Assurance Ledger

The evidence architecture that makes agent-produced work reconstructable and defensible.

Provenance

Where did the inputs come from?

Mandate

What was the agent authorized to do?

Reconstruction

How did it reach the output?

Checkpoint

Who reviewed it and with what authority?

Exception

What happens when the agent is uncertain, wrong or outside its mandate?

Attestation

Who ultimately stands behind it?

Together, these six dimensions create the evidence chain Finance needs to trust and govern consequential agentic work.

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The experience: from strategic question to executable decision

Six stages. 2 days. One executable Agentic Finance agenda.

1

SEE

Understand the shift

2

FRAME

Prioritize the opportunity

3

REDESIGN

Rebuild two real workflows

4

ASSURE

Engineer the evidence

5

FUND

Build the investment case

6

COMMIT

Lock the 30-day action

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Six decisions. One aligned Finance Leadership

Real Finance workflows run through every decision — not hypothetical case studies.

1
1

Choose

Decide where agents should act — and where human judgment must remain.

2
2

Redesign

Redesign real Finance workflows around human + agent roles.

3
3

Build

Define the agent, data, orchestration, economics and operating requirements.

4
4

Trust

Engineer the evidence, authority, checkpoints and exceptions required to make the output signable.

5
5

Scale

Define evidence gates, governance and funding criteria.

6
6

Compound

Establish the operating model for continuously expanding agentic Finance.

Every decision is applied to your Finance workflows — not hypothetical case studies.

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You will work on the workflows that matter most

Selected at the intersection of value, feasibility and consequence.

VALUE

Does it create material economic value?

FEASIBILITY

Can agents realistically perform the work?

CONSEQUENCE

What happens if the agent is wrong?

PRIORITY AGENTIC FINANCE WORK

FP&A

Forecasting · Variance analysis · Scenario planning · Management reporting

Controllership

Reconciliation · Close · Journal entry · Intercompany · Revenue recognition

Financial control & compliance

GST · TDS · E-invoicing · Regulatory reporting

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In 2 days, your Finance leadership team leaves with four executable decisions.

Agentic Finance Opportunity Portfolio

Where should we act?

Priority opportunities ranked by value, feasibility and consequence.

Agentic Finance Business Case

Why should we invest?

Expected value, run-cost, implementation requirements and economics.

Assurance Ledger

How will we govern and defend the work?

The evidence architecture for consequential agentic workflows.

Agentic Funding Thesis

What should we fund?

What evidence is required. What gates trigger scale.

+ 30-DAY FUNDING CHECKPOINT: Validate business case, confirm funding, and lock the roadmap.

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Why this masterclass works differently

Not AI training. Not a technology assessment. A working session for redesigning how Finance operates in an Agentic world.

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What changes on Monday morning?

Finance moves from reviewing AI outputs to designing the autonomous work can be trusted and scaled.

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Built by a practitioner who has seen what breaks — and what doesn't.

PRACTITIONER, NOT ACADEMIC

20+ years enterprise transformation at BCG, Bain and Google — on AI strategy and the execution at scale.

TRANSFORMATION AT SCALE

25+ enterprise AI transformations seen from the inside: the ones that failed, and the few that didn't.

CREATOR OF THE OUTCOME POD MODEL

The only cross-functional decision system built for Agentic Enterprise and GCC transformation leaders— an experience no other replicates.

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Assurance Advantage

Make Agentic Finance signable. Make it fundable. Make it scalable.

Redesign how Finance decides, controls and creates value in an Agentic world — without compromising the integrity.

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