of differences set aside as expected, each with a recorded explanation
OPERATIONS/Higher volume with fewer breaks
Clear breaks faster, close each day on time, and free your team from repetitive checks.
Lameh finds the differences between an institution’s systems, resolves them with the evidence recorded, and gives operations figures that agree.
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figures rechecked each time their underlying data changes
faster resolution of a break, from detection to recorded decision
From the break to the resolution, operations that leave a trail.
Breaks found and ranked
With Reconciliation, operations defines the figures that should agree, and each is rechecked when its data changes. Expected differences are set aside with a recorded explanation, and the rest are ranked by size and probable cause.
Reconciliation
One entry for each entity and instrument
With Ontology, a counterparty or an instrument recorded differently in each system is defined once and mapped to its records in all of them. People, applications, and AI models read from that one entry.
Ontology
Routine volume at the lowest cost available
Model Routing assesses each prompt and selects the model for it. Routine, high-volume work runs at the highest speed and lowest cost available, and harder cases reach stronger reasoning.
Model Routing
Explore the suite of products
Ontology
One shared definition of the organizations, instruments, positions, and transactions the institution works with.
Model Routing
Each prompt routed to the model best suited to it, weighing reasoning, accuracy, speed, and cost.
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
Which differences reach the team?
Only actual differences are reported. Identifiers, formats, units, and periods are normalized, and expected differences such as timing are set aside with a recorded explanation.
Does a resolved discrepancy return?
A resolved figure remains resolved until its underlying data changes, and the decision and its reason are retained for review and audit.
How do new staff learn the function’s methods?
Each function’s methods, standards, and accepted exceptions are drawn from its work into the record, so new staff start from established practice.
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.
Agreed figures across every system
A single agreed value for each figure your institution relies on, one entry for each entity and instrument, and a trail behind every resolution.
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