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BI ADVISORY · AI GOVERNANCE & ADOPTION

Bring AI into Finance — with control, accountability and measurable value.

BI ADVISORY helps Finance organisations identify where AI creates value,
redesign the underlying processes, establish the right controls and move
selected use cases from experimentation into operational adoption.

For CFOs · Finance Leaders · Transformation Leads ·
AI Programme Owners · Management Teams

The need

When AI experimentation starts becoming a business transformation issue.

01
AI experiments are multiplying, but few reach production.
The challenge is no longer accessing AI, but turning relevant
experiments into reliable business processes.

02
Technology is introduced without redesigning the underlying workflow.
AI is added to existing tasks without reconsidering responsibilities,
controls, data flows or where human judgement is required.

03
Business ownership remains fragmented.
IT, Data, Security, Legal and business teams may all contribute while
accountability for the outcome remains unclear.

04
Business value is difficult to demonstrate.
Productivity claims are easy to make. It is harder to prove that an
AI-enabled process is faster, more reliable, better controlled or
improves decision-making.

Our role:
turn selected AI opportunities into operational, governed and measurable
business workflows.

Ways we can support

From AI opportunity to operational adoption.

BI ADVISORY can support a specific AI initiative or help structure a
broader adoption programme, always starting from the business process
rather than the technology itself.

AI Opportunity & Use-Case Portfolio

Identify and prioritise AI opportunities based on business value,
feasibility, data availability, operational impact and risk.

Process & Workflow Redesign

Redesign the underlying business process rather than simply adding
AI to existing tasks, systems or responsibilities.

AI Governance & Operating Model

Define ownership, decision rights, acceptable use, permissions,
escalation paths, human oversight and governance responsibilities.

Implementation & Evaluation

Translate business requirements into workflows, controls,
test scenarios, evaluations and acceptance criteria.

Adoption & Capability Building

Prepare teams, redefine responsibilities and integrate AI into
day-to-day ways of working through practical adoption support.

Value & Performance Monitoring

Track adoption, quality, exceptions, controls, costs and
measurable business outcomes after deployment.

Three levels of support

Strategy, governance and operational adoption.

AI Strategy & Prioritisation

Clarify where AI can genuinely support business priorities,
which use cases deserve investment and what capabilities are required.

Governance & Control

Establish practical governance around ownership, data, risk,
human oversight, documentation, permissions and monitoring.

Adoption & Implementation

Translate selected use cases into operational processes, controls,
testing, responsibilities and measurable business outcomes.

What BI ADVISORY brings

Business transformation with governance built into execution.

Finance & Business Process Expertise
Understanding of reporting, consolidation, controlling, FP&A
and other processes where reliability, controls and accountability matter.
Transformation Experience
Ability to connect technology changes with processes, organisation,
responsibilities, systems and expected business outcomes.
Technology Understanding
Practical understanding of ERP, EPM, automation, data platforms,
LLMs and AI-enabled workflows without being tied to a single vendor.
Senior Governance & Execution
Direct senior involvement in prioritisation, functional requirements,
controls, implementation risks and adoption.

Our principle

Redesign the process. Govern the AI. Measure the outcome.

AI creates value when it improves a real business process.
Governance defines the boundaries within which it can operate.
Measurement determines whether the transformation is delivering
enough value to scale.

Our approach

From experimentation to controlled business execution.

1

Discover

Identify existing AI usage, business pain points, operational
constraints and opportunities where AI may create meaningful value.

2

Prioritise

Evaluate use cases against business value, feasibility,
data availability, operational impact and risk.

3

Redesign

Define how the process, responsibilities, data flows and controls
should operate before introducing or scaling AI.

4

Govern

Establish ownership, permissions, decision rights, acceptable use,
human oversight and escalation rules.

5

Validate

Test AI behaviour, outputs and workflows against representative
business scenarios and clearly defined acceptance criteria.

6

Adopt & Monitor

Integrate approved AI into daily operations and monitor adoption,
quality, controls, costs and business value over time.

Controlled automation

Not every problem needs AI.

BI ADVISORY distinguishes between deterministic business rules,
workflow automation and AI-assisted judgement. The objective is not
to maximise the use of AI, but to design the most effective and
controlled business process.

Deterministic Rules

Calculations, reconciliations, accounting logic and critical
controls remain deterministic where reliability and repeatability
are essential.

Workflow Automation

Repetitive process steps, routing, validations and integrations
can be automated without introducing unnecessary AI complexity.

AI-Assisted Judgement

AI is introduced where interpretation, classification, analysis,
interaction or judgement can create additional business value.

Finance & AI

AI becomes valuable when it improves a real Finance process.

For Finance, the opportunity is not simply to deploy another assistant.
AI can support reporting, analysis, reconciliation, document processing,
forecasting and decision support — while the underlying numbers,
business rules, controls and responsibilities remain understandable
and controlled.

This is where BI ADVISORY combines Finance expertise, systems knowledge,
deterministic processing and governed AI.

AI Governance & Adoption

Ready to move AI from experimentation into the business?

Whether AI is already spreading across the organisation or you are
preparing the first structured use cases, the starting point remains
the same: understand where AI creates value, redesign the underlying
process, define who is accountable and determine what must remain
under human control.