of customer records across source systems resolved to one entry
BANKS/A leaner bank that grows faster
Lend faster, report with confidence, and run the bank on fewer manual hours.
Lameh gives a bank’s credit, risk, and finance functions one record of its customers, exposures, and reported figures.
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credit rules proposed from the bank’s own files, each linked to its cases
faster to an agreed value for a figure reported by more than one function
From the customer file to the reported figure, the bank’s work on common ground.
One entry for each customer
With Ontology, a customer recorded under different names in different systems becomes one entry, with its group, its owners, and its facilities linked to it. Exposure is computed the same way in credit, risk, and finance.
Ontology
Credit practice drawn from the bank’s own files
Knowledge Induction reads past credit files, facility agreements, and memos and compares them across cases. The terms the bank usually accepts and the conditions that preceded past losses are proposed as rules, each linked to the cases behind it.
Knowledge Induction
One agreed value for each reported figure
With Reconciliation, each function defines the figures that should agree across the ledger, the risk systems, and regulatory returns. Differences are ranked by size and probable cause, and every resolution is kept with its evidence.
Reconciliation
Explore the suite of products
Knowledge Induction
Patterns in the institution’s past work, proposed as rules and linked to the cases that support them.
Ontology
One shared definition of the organizations, instruments, positions, and transactions the institution works with.
Reconciliation
Discrepancies found, ranked, and resolved, with the evidence trail kept for review and audit.
Institutional Record
Decisions, knowledge, and working methods recorded as the work happens and retained by the institution.
FAQ
Whose calculations and limits does Lameh apply?
Lameh holds the bank’s own calculations and limits in the ontology, so a measure such as exposure is computed the same way in every function that uses it.
Who approves a rule before the bank applies it?
The function that owns the rule approves it. Each rule is proposed with the cases that support it, and people and AI models apply it only after approval.
What is kept when a discrepancy is resolved?
Lameh keeps both values with their sources, the value the figure’s owner selected, and the reason for the choice. The decision is retained for review and audit, and the figure stays resolved until its underlying data changes.
How does Lameh verify the figures it provides?
Each figure is read from the official source that published it, kept as reported, and linked to the document it came from. Where a figure appears in more than one source, the values are reconciled.
How does Lameh work with the systems we already use?
Lameh links the records held in separate systems to the organizations, instruments, positions, and transactions they describe. Each is defined once and mapped to its records in every source system.
How are changes proposed by an AI model controlled?
Changes are made through defined actions, each with its conditions, approvers, and log. A limit increase follows the same approval path whether a person or an AI model proposes it.
Does the institution depend on a single AI model?
No. Each prompt is routed to the model best suited to it, weighing reasoning, accuracy, speed, and cost, and new models enter the routing as they are released.
One record of the bank, read by every function
One entry for each customer, your bank’s own credit practice stated as rules, and a single agreed value for each figure it reports.
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