Regulated enterprise operation
A financial workflow was redesigned around Actigen-enabled intelligence, improving speed, accuracy, throughput and compliance control.
Time : -50%+ · Accuracy : +50% · Throughput : +30%
Decision intelligence for regulated operations
BFSI - governed AI for decisions under regulatory pressure.
Decision intelligence, workflow automation, compliance evidence and data-to-decision systems for regulated financial operations.
The vertical
Financial workflows are decision systems under audit.
Banks, insurers and financial institutions do not need more disconnected tools. They need governed intelligence across claims, KYC, contracts, compliance and reporting.
SBL builds AI-enabled workflows that connect data, automate repeatable decisions, route exceptions and preserve the evidence regulators expect.
What we deliver
From operational data to governed decisions.
Decision intelligence for regulated financial environments.
01
Claims intelligence
AI-enabled extraction, matching, routing and exception management.
02
Contract intelligence
Clauses, obligations, pricing and renewal risk made visible.
03
Compliance automation
Evidence, reporting and lineage for audit and regulatory cycles.
04
Fraud and risk signals
Predictive indicators and workflow flags for high-risk activity.
05
Customer and loan workflows
Copilots and automation for queries, lending and servicing workflows.
06
Executive dashboards
Decision views for CFO, risk, operations and compliance leaders.
Where we fit
Where regulated decisions depend on messy documents and audit evidence.
SBL fits financial workflows that need automation, but cannot lose lineage, exception control or human judgement.
Claims
Document-heavy decisions
Extract, match and route claim evidence while preserving review trails and exception context.
Compliance
Audit-ready evidence
Create traceable evidence packs for regulatory, contractual and internal control requirements.
Contracts
Obligation intelligence
Surface clauses, pricing, renewal risk and service commitments before they become exposure.
Operations
Human-reviewed automation
Use AI to accelerate repeatable steps while escalating risk, confidence and policy exceptions.
Operating pattern
From input documents to controlled financial decisions.
The workflow keeps the decision path visible from intake through review, action and reporting.
01Ingest
Collect forms, correspondence, contracts, statements, claims and operating data.
02Understand
Classify, extract, compare, score confidence and identify missing or conflicting evidence.
03Route
Send clean cases forward and move exceptions to reviewers with the right context.
04Evidence
Preserve lineage, decisions, reviewer actions and output for audit or compliance review.
Proof in production
Half the time, higher accuracy, stronger control.
-50%+Processing time in a deployed workflow
+50%Accuracy uplift
+30%Throughput improvement
AuditLineage and exception control
Related proof
Case studies from similar operating environments.
Financial workflow
Mortgage foreclosure workflows converted into decision-ready data
Document workflows structured for faster, more reliable institutional decisions.
Read case study -> AutomationEnterprise data workflows modernized for a Spanish data provider
Complex information workflows moved into a more governed operating model.
Read case study -> OperationsLogistics invoice workflows automated for faster decisions
Invoice and exception workflows redesigned around speed, control and review.
Read case study ->Need a regulated workflow with more intelligence and control?
We will map the decision points, data sources, controls and first automation outcome.