Industry · Banking & Finance

See risk, revenue and compliance in one governed view

Unify core banking, risk, KYC and CRM into a single governed foundation — then explain what moved, trace it to the account and the rule, and act with a full audit trail.

01Where it hurts

The questions risk and finance teams can't answer fast

Each is a question that today means a week of manual reconciliation across systems. SCIKIQ answers it from governed data — with lineage regulators will accept.

Single view
“Every product has its own view of the customer — none of them agree.”

SCIKIQOne governed party 360 across accounts, products and channels.

AML load
“Investigators spend days assembling one case across five systems.”

SCIKIQThe graph assembles the case and links related parties automatically.

Credit risk
“We see the default after it happens, not the early warning before.”

SCIKIQEarly-warning signals surface across systems; an agent flags the exposure.

Slow close
“Ledger breaks at month-end take days to explain.”

SCIKIQA reconciliation agent matches, explains and posts corrections.

Compliance proof
“We can't show a regulator exactly where a number came from.”

SCIKIQFull lineage on every figure — auditable end to end.

Revenue
“We can't see the true value of a relationship across products.”

SCIKIQRelationship-level lifetime value as a governed data product.

Three kinds of data, one governed graph — SCIKIQ fuses live IIoT signals, systems of record, and the documents in between.

Real-time streams

live signals & telemetry

Transaction streamsCard / POS signalsDevice & session dataMarket data feedsPayment events
Structured

systems of record

Core bankingGeneral ledgerKYC recordsRisk ratingsCard & loan systems
Unstructured

text, images, audio

Loan & contract documentsCall transcriptsEmails & chatRegulatory filingsAdverse-media news
One governed 360 & knowledge graphfused, contextualised and AI-ready
02The four layers

Four layers. Each answers a harder question.

Enterprise 360 tells you what happened. The knowledge graph tells you why. The copilot explains it in plain language. The agent factory does something about it — on your banking & finance data.

01
Layer 1 · Enterprise 360

What is happening?

Unify customer, account, risk and transaction data across core banking, risk and CRM into one real-time view — so risk, finance and the front line share the same numbers.

OutcomeRisk & performance
Banking & Finance control towerMargin · risk · capital · complianceLIVE
Net interest margin
%
3.12
0.08down
NPL ratio
%
2.4
0.3up
Cost-to-income
%
52.1
1.2up
Customer 360 coverage
%
88
2up
Open AML alerts
count
342
40up
Capital adequacy
%
15.8
0.2down
Select any metric to drill into its trend, root cause and AI analysis
Trend
Root cause

AI analysis
Contributing factors weighted attribution · explainable
Recommended
02
Layer 2 · Knowledge Graph

Why is it happening?

Trace the relationships between parties, accounts, exposures and alerts to find the root cause behind a number — and prove exactly where every fact came from.

OutcomeCompliance & risk
Drag to move · scroll to zoom · click a node to inspect

Traced: The NPL uptick traces to a single sector exposure, a cohort of linked accounts, and the early-warning signals that sat unread across three systems.

03
Layer 3 · AI Copilot

Tell me, in plain language

Let a risk officer or relationship manager ask in plain language — answered from governed data with the lineage a regulator will accept.

OutcomeCompetitive advantage
SCIKIQ CopilotGrounded on your Banking & Finance knowledge graphONLINE
Grounded & citedDocument uploadVoiceWeb (governed)
04
Layer 4 · Agent Factory

Don’t just tell me — fix it

Turn answers into action. Agents triage AML alerts, flag credit risk, reconcile the ledger and trigger next-best-action — every step logged and auditable.

OutcomeLoss & leakage protection

AML Triage Agent

Turns an alert into a ready-to-work case.

TriggerA high-risk AML alert is raised
ReadsCore banking (transactions), KYC (party), Watchlists (sanctions)
ActsAssembles the case, links related parties, routes to an investigator
Cuts investigation time and reduces regulatory risk.

Credit Early-Warning Agent

Sees deterioration before it becomes a default.

TriggerAn early-warning signal fires on an exposure
ReadsRisk (ratings), Core (repayments), Market (sector)
ActsFlags the exposure, proposes a limit action, opens a review
Reduces loss-given-default and new NPLs.

Reconciliation Agent

Explains and closes ledger breaks.

TriggerGL and sub-ledger breaks at close
ReadsGeneral ledger, sub-ledgers, payments
ActsMatches, explains and posts the corrections
Delivers a faster, cleaner close.

Next-Best-Action Agent

Grows and defends each relationship.

TriggerA relationship shows a churn or up-sell signal
ReadsCRM, product holdings, transactions
ActsTriggers a tailored offer in the CRM
Defends and grows revenue per relationship.
03The outcome

What banks and insurers get

A governed foundation risk, finance and compliance can all trust.

1Governed view across every product and channel
HoursTo assemble an AML case, not days
FullLineage on every regulated number
WeeksTo deploy on your existing core
04Skill your team

The engineers who deploy this

SCIKIQ Certified Data and AI Engineer runs a specialisation for this sector — the same value chain, data landscape and constraints as this page, taught as hands-on labs with timed assessments and two end-to-end capstones.

See all 21 specialisations

Which number can't you explain to the regulator today?

We would love to think through it with you — no pitch, no form maze.

Talk to us

Frequently asked questions

How does SCIKIQ support risk and regulatory reporting?

It unifies party, exposure and transaction data into a governed knowledge graph with full lineage, so every figure in a risk or regulatory report can be traced to its source system. Policy-as-code and audit-ready evidence are mapped to frameworks including GDPR and India DPDP.

Can SCIKIQ help with AML and credit early-warning?

Yes. Agents run continuously against the governed layer to flag anomalies, surface credit early-warning signals and reconcile across systems, with every action logged so a reviewer can see why an alert fired.

Is customer data kept governed and access-controlled?

Access control extends to non-human identities as well as people, so agents and service accounts get least-privilege credentials and audit trails. Sensitive fields stay governed by the same policies wherever they are queried.