AI in Finance:
Scale smarter

Changing the way financial leaders manage their companies

The real cost is late visibility

The next move on a deal is rarely sitting in one system. The signals are spread across client activity, market research and risk platforms.

We bring them into one view, so Australian financial firms can act on emerging exposure and opportunity before the window closes.

The next move on a deal is rarely sitting in one system. The signals are spread across client activity, market research and risk platforms.

We bring them into one view, so Australian financial firms can act on emerging exposure and opportunity before the window closes.

The pressure

is compounding

More risk, more data and the same manual workflow.

Drowning In Data

ASX filings, APRA returns, Bloomberg feeds and internal portfolio data, all in different systems, and no one gets a clean view.

Drowning In Data

ASX filings, APRA returns, Bloomberg feeds and internal portfolio data, all in different systems, and no one gets a clean view.

Talent Leverage

Senior analysts spend their week reformatting Excel spreadsheets and PowerPoint decks instead of the work that moves the needle.

Talent Leverage

Senior analysts spend their week reformatting Excel spreadsheets and PowerPoint decks instead of the work that moves the needle.

No Room For Error

High-stakes compliance across AML/CTF, AUSTRAC and RG obligations, and most teams are still running it from shared inboxes.

No Room For Error

High-stakes compliance across AML/CTF, AUSTRAC and RG obligations, and most teams are still running it from shared inboxes.

Faster decisions. Stronger client outcomes.

Shot of a smiling employee working in finance
Shot of smiling employee at a team meeting

Where AI pulls its weight

Review The Deal Room

The risk is often buried in the data room. Read CIMs, contracts and filings at scale to surface gaps and red flags.

CIMs · Contracts · Diligence

1

Review The Deal Room

The risk is often buried in the data room. Read CIMs, contracts and filings at scale to surface gaps and red flags.

CIMs · Contracts · Diligence

1

Assemble Faster

Every recommendation must be backed by facts. Pull research and comps into IC papers, client briefs and board materials.

Research · Comps · IC Papers

2

Assemble Faster

Every recommendation must be backed by facts. Pull research and comps into IC papers, client briefs and board materials.

Research · Comps · IC Papers

2

Watch Risk As It Moves

Risk doesn't wait for the next review. Monitor portfolios, covenants, limits and market moves to flag exceptions early.

Portfolios · Covenants · Limits

3

Watch Risk As It Moves

Risk doesn't wait for the next review. Monitor portfolios, covenants, limits and market moves to flag exceptions early.

Portfolios · Covenants · Limits

3

Lines converging into a central point
Find The Next Signal

Good opportunities rarely arrive labelled. Screen ASX announcements, filings and news for prospects and early deal signals.

ASX · Filings · Origination

4

Find The Next Signal

Good opportunities rarely arrive labelled. Screen ASX announcements, filings and news for prospects and early deal signals.

ASX · Filings · Origination

4

Keep Investors In The Loop

Updates should fit the audience. Draft investor and client communications from live portfolio data and account history.

Reporting · Updates · Client Service

5

Keep Investors In The Loop

Updates should fit the audience. Draft investor and client communications from live portfolio data and account history.

Reporting · Updates · Client Service

5

Put Prior Work To Work

The last deal should make the next one faster. Draw on prior decisions, meeting notes and precedent when working on new deals.

Precedent · Knowledge · Deal History

6

Put Prior Work To Work

The last deal should make the next one faster. Draw on prior decisions, meeting notes and precedent when working on new deals.

Precedent · Knowledge · Deal History

6

Why partner with TwinTech?

We go beyond AI consultancy, creating intelligent, custom-built systems that integrate seamlessly into your business and drive measurable impact.

We go beyond AI consultancy, creating intelligent, custom-built systems that integrate seamlessly into your business and drive measurable impact.

Compliance Checks

Approval Workflows

Team Onboarding

Invoice Processing

AI Transformation

Enterprise-wide AI adoption, with the governance and training to make it stick.

Compliance Checks

Approval Workflows

Team Onboarding

Invoice Processing

AI Transformation

Enterprise-wide AI adoption, with the governance and training to make it stick.

Compliance Checks

Approval Workflows

Team Onboarding

Invoice Processing

AI Transformation

Enterprise-wide AI adoption, with the governance and training to make it stick.

Custom AI Solutions

Custom development across AI agents, automations and platforms, integrated with your existing systems.

Custom AI Solutions

Custom development across AI agents, automations and platforms, integrated with your existing systems.

Custom AI Solutions

Custom development across AI agents, automations and platforms, integrated with your existing systems.

Analyse any campaign...

Analyse

Best Performing Channel

Highest Converting Audience

Lowest CPA Campaign

AI Marketing

Smarter targeting, personalised content and real-time optimisation.

Analyse any campaign...

Analyse

Best Performing Channel

Highest Converting Audience

Lowest CPA Campaign

AI Marketing

Smarter targeting, personalised content and real-time optimisation.

Analyse any campaign...

Analyse

Best Performing Channel

Highest Converting Audience

Lowest CPA Campaign

AI Marketing

Smarter targeting, personalised content and real-time optimisation.

AI Advisory

Get expert guidance to implement AI solutions that drive business growth.

AI Advisory

Get expert guidance to implement AI solutions that drive business growth.

AI Advisory

Get expert guidance to implement AI solutions that drive business growth.

Code

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class InsightsEngine:
def __init__(self):
self.sources = ["Sales", "Inventory", "Finance", "CRM"]
self.data_layer = "single_source_of_truth"
self.refresh = "live"
self.access = "natural_language"
self.security = "governed"
def connect(self, system):
self.sources.append(system)
self.validate(system)
return self.sync_all()
def validate(self, system):
checks = ["quality", "completeness", "access"]
return all(self.audit(c) for c in checks)
def ask(self, question):
insight = self.query(question)
return answer_in_seconds(insight)
def forecast(self, metric):
model = self.train(metric)
return model.predict(next_quarter)
def flag_risks(self):
signals = ["cash_flow", "demand", "supply"]
return alerts_before_they_cost(signals)
def report(self, audience):
return build_dashboard(
data=self.data_layer,
format="plain_english",
updated="live"
)
Data and Insights

We connect your data into one place, so answers arrive in seconds.

Code

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5

class InsightsEngine:
def __init__(self):
self.sources = ["Sales", "Inventory", "Finance", "CRM"]
self.data_layer = "single_source_of_truth"
self.refresh = "live"
self.access = "natural_language"
self.security = "governed"
def connect(self, system):
self.sources.append(system)
self.validate(system)
return self.sync_all()
def validate(self, system):
checks = ["quality", "completeness", "access"]
return all(self.audit(c) for c in checks)
def ask(self, question):
insight = self.query(question)
return answer_in_seconds(insight)
def forecast(self, metric):
model = self.train(metric)
return model.predict(next_quarter)
def flag_risks(self):
signals = ["cash_flow", "demand", "supply"]
return alerts_before_they_cost(signals)
def report(self, audience):
return build_dashboard(
data=self.data_layer,
format="plain_english",
updated="live"
)
Data and Insights

We connect your data into one place, so answers arrive in seconds.

Code

1

2

3

4

5

class InsightsEngine:
def __init__(self):
self.sources = ["Sales", "Inventory", "Finance", "CRM"]
self.data_layer = "single_source_of_truth"
self.refresh = "live"
self.access = "natural_language"
self.security = "governed"
def connect(self, system):
self.sources.append(system)
self.validate(system)
return self.sync_all()
def validate(self, system):
checks = ["quality", "completeness", "access"]
return all(self.audit(c) for c in checks)
def ask(self, question):
insight = self.query(question)
return answer_in_seconds(insight)
def forecast(self, metric):
model = self.train(metric)
return model.predict(next_quarter)
def flag_risks(self):
signals = ["cash_flow", "demand", "supply"]
return alerts_before_they_cost(signals)
def report(self, audience):
return build_dashboard(
data=self.data_layer,
format="plain_english",
updated="live"
)
Data and Insights

We connect your data into one place, so answers arrive in seconds.

Frequently Asked Questions

What happens if our processes change in the future?

Workflows can be adjusted easily, so improvements remain aligned with the way your business evolves.

Will this work with our current ERP, EPM, and reporting tools?

Yes. Everything is designed to integrate with the systems you already use, without major disruption or rebuilds.

How do you ensure our financial data stays secure?

Data handling follows strict security, access control, and encryption standards designed for regulated industries.

How will this change the workload for our finance team?

They’ll spend less time on repetitive tasks and more time on analysis, forecasting, and strategic work.

Do these improvements require adding more headcount?

No. The goal is to absorb more volume and complexity without scaling team size.

Ready to see how AI can help your financial firm?

We’ll help you identify the systems and workflows worth fixing first.

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