01For bank executives and department heads

One business question. A clear picture across bank systems.

advanexus connects data, business checks and workflows, showing what is complete, what is missing and what supports the answer.

The management question

Is the morning review ready, and what still needs attention?

An illustrative answer with its basis The review is not yet complete.

What is missing, why it is missing and where the check is recorded.

A system above systemsadvanexus

01Connected data
02Prepared workflows
03Business checks
04Result evidence

Loan accounts
Business mappings
Processing and checks
Reports

Existing systems stay. The workflow, rules and access are configured for the agreed process.

02The business problem

The data exists. People still assemble the answer.

Is the business review ready, what still needs attention, and where is the evidence?

01

The review trails the question

Leaders need unresolved issues before the review. Instead, teams can end up collecting extracts again and reconciling what each status means.

02

Completed processing is not the outcome

A report can be produced while expected records are missing. Technical success does not confirm that the result meets business acceptance rules.

03

The finding is separate from the next step

Understanding what blocks progress requires another search for the rule, exceptions and preceding execution. A status alone does not show what needs investigation.

04

A follow-up restarts the work

When a manager asks why, the search for source records and rules starts again. Time goes into assembling the answer rather than resolving the exception.

The cost is not just preparing a report. Every follow-up pulls people from several teams back into the work.

Executives

Is the review ready, and what limitation affects the decision?

Department head

How much is affected, and what is needed to proceed?

Specialist team

Which accounts are missing, which rule failed, and where is the check record?

03A recognisable case

The report was produced. 120 accounts are missing.

The morning loan portfolio review: processing is complete, but the expected accounts for a new product are absent.

Same agreed population · 07:00 UTC cutoff · synthetic example

Source loan accounts10,000

Active accounts expected in the agreed review.

Prepared review9,880

Accounts included after joining to business mappings.

No effective mapping120

P-NEW accounts are absent; the exact exception population is identified.

The omission traced to its cause

All 120 accounts belong to product P-NEW without an effective mapping.

Preparation complete
The result was prepared.
Completeness not confirmed
The required check failed.
The next step is waiting
The configured transfer was not started.

Illustrative scenario. The check governs only the agreed workflow's next step, not external reporting.

04An answer for each role

Executives see the review is not ready. The team sees what is needed to proceed.

The same finding connects the decision, work coordination and specific records, within each participant's permissions.

A question through approved AI access

Is the morning loan portfolio review ready? What is missing and what needs to happen next?

advanexus

Not under the agreed completeness check. 9,880 of 10,000 accounts are included. An effective mapping is missing for 120 P-NEW accounts. Preparation is complete; the next transfer is waiting.

Next step

The mapping update needs review and approval, followed by a new execution over the same population. The answer does not change data or start the process.

Follow this case in the guided demo

The same finding, scoped to each role and its access

Executives
Sees the review's limitation before a decision relies on it.
Department head
Sees the scope of the issue and what is needed to proceed.
Team lead
Receives the identified population of 120 accounts to coordinate the next steps.
Specialist team
Opens the specific records, P-NEW mapping and failed check result.

After an approved correction

Approved correction → new check → new result. The earlier finding is retained.

05A system above systems

AI is the access point. advanexus does the work.

Technical teams prepare the workflow. Business users use results and approved checks.

Data and answer flow (not a speed measurement)

01
Connect the records
Approved sources of business records, mappings and results are linked through agreed identifiers.
02
Prepare the data
Required transfers and processing become a repeatable workflow. Population, cutoff and business keys stay explicit.
03
Run the checks
Agreed rules identify missing records and differences. A required check can gate the next step of the prepared workflow.
04
Deliver the business view
Workflow status, findings and trends are available through analytics or approved checks in an AI conversation.
05
Retain the answer basis
Available inputs, check definition and execution record remain with the result. Unconfirmed information does not become an established fact.

Rules and access apply throughoutProject · user · approved action · permitted fields

Review and analytics

The same criteria for the next period.

Prepared reports, exceptions and trends are available without an AI conversation too.

Conversation with the platform

A follow-up leads to the specific case.

An approved check returns the finding and available evidence to the user who asked.

06Why advanexus

Not another screen. A connected, repeatable workflow.

advanexus fits a bank whose business reviews and follow-up work span systems and teams. Existing systems stay; data preparation, result checks, next steps and evidence become a connected, repeatable workflow.

01

The same logic for the next review

The prepared workflow connects sources, processing and acceptance rules. The next review follows the same agreed process instead of another manual assembly across systems.

Less repeated preparation.

02

Self-service without the whole database

AI access uses approved capabilities and output fields. The project, user permissions and specific connection determine what can be read or invoked.

Access aligned to the role and task.

03

The finding leads to its basis

An incomplete review leads to the omitted records, mapping and check result. It shows what was checked, what failed and what still requires an accountable person's decision.

Less reconstruction afterwards.

The difference is the connected work behind the answer. Not just data display: preparation, an executed check, permitted access and an explainable result stay connected.

07Positioning

The same business question. Different starting points.

The advanexus focus: prepare, execute and explain a specific cross-system check.

Execution ↑Y · Product emphasisDescription / oversight

Data and AIBusiness executionContext and governanceProcess review

Data / modelsX · Primary object of work →Business case / process

Why this placement

advanexus

A connected business answer and controlled work across existing systems: data, checks, permitted action, result and evidence stay linked.

The position connects data processing with a business case and execution evidence; scope remains limited to approved sources and supported actions.

One payment across channel, ledger, settlement and case; confirmed differences separated from unverified causes and corrections.Documented basis ↗

Select a name for its positioning basis. Capabilities overlap; distances are not measured differences.

Solution	Documented emphasis	Implication for this process	Evidence
Microsoft Fabric	Unified analytics: data preparation, processing, reporting and AI. Fabric IQ in preview extends the offer with business semantics and operations agents.	An analytical foundation for payment data; connecting instructions, postings and exceptions requires an agreed business model.	↗
Databricks	Work over data and AI tools with governed access. Business semantics support natural-language questions; permitted execution includes SQL and isolated processing.	Analysis of payment records under access permissions; reconciliation rules and case-closure criteria still need explicit definition.	↗
Informatica	Data integration and quality, master data, cataloguing and access governance. The offer includes application integration, automation and AI assistance.	Aligning identities and record quality before checking; banking reconciliation criteria remain part of the specific solution.	↗
Collibra	Context, ownership, lineage and governance for data and AI. Includes quality, governance workflows and AI control, not merely a catalogue.	Definitions, accountability and lineage for payment data; reconciling a particular transaction requires a separately agreed execution flow.	↗
Dataiku	Collaborative development of analytics, models and AI agents, with deployment, monitoring and lifecycle governance.	Models and agents for exception analysis; payment-process evidence, authority and rules are built into the solution.	↗
Palantir	An operational model of the organisation: business objects, their relationships and actions, connecting data, models and access rules in a shared context.	Transactions, relationships and operational actions in one model; integration and control scope are agreed for the bank.	↗
Celonis	Process context across systems: understanding flow, deviations and causes, with analysis, design and orchestration of processes and AI.	Identifying bottlenecks and deviations in payment processes; specific posting evidence requires connected records and rules.	↗
advanexus	A connected business answer and controlled work across existing systems: data, checks, permitted action, result and evidence stay linked.	One payment across channel, ledger, settlement and case; confirmed differences separated from unverified causes and corrections.	↗

Every solution requires sources, identities, rules and access to be prepared for the process. The advanexus illustration uses an already prepared synthetic demo.

08Business value

Less review assembly. More time for exceptions.

Value is measured in the team's actual workflow, without assumed savings.

Work	Today, when done manually	advanexus	What gets measured
Review preparation	New extracts and manual matching across business records.	The prepared workflow repeats the review within the agreed scope.	Active minutes across all participants per review.
Exception investigation	An incompleteness warning starts another search for omitted records.	The finding leads to the specific exception population, rule and required update.	Follow-up requests and time to an evidenced finding.
Workflow progression	Processing status and business conditions for proceeding are checked separately.	A required check gates the configured next step; the reason for waiting stays visible.	Time from the finding to an approved correction and a new check.
Explaining the result	Rules, inputs and the check record are reconstructed afterwards.	Available evidence stays connected to the specific execution.	Time needed to reconstruct the basis of a conclusion.

Preparation · reconciliation · waiting · later explanation

09From demonstration to everyday use

The next business review. Without collecting everything again.

One process, known sources and an agreed definition of success.

01
Choose one important process
Question, sources, business keys, responsibilities and success criteria.
02
Prepare and verify the workflow
Connections, rules, processing and checks; a focused pilot where an important uncertainty exists.
03
Accept, hand over and improve
First result, training, maintenance and expansion based on established value.

Try the guided demo →

Milovan Tomašević, PhDFounder and platform builder · Ljubljana

Banking systems · data engineering applied research · cloud migrations

mt@advanexus.com

Support from AWS and partners during 2026 in infrastructure, scalability and preparation for production