OpenKnowra grids run whole enterprise functions on real-time context, governed. This is the banking operations grid.
Payments, accounts, ledgers and controls as one live operations twin, with an agentic operating system that clears the work straight through and holds the calls that need a person.
Every break is money the bank cannot see yet, and a control it can only prove after the fact.
Core banking, payments and the ledger each hold a version of the truth. When they disagree, nothing reconciles them until someone does, by hand.
Exceptions pile into shared inboxes and spreadsheets, worked in the order they are noticed rather than the order of risk.
Four-eyes, limits and sanctions checks are real, but the evidence is assembled after the action, when the auditor asks.
Breaks surface at cut-off or at period close, when the window to fix them cleanly has already passed.
One context spine. It understands operations, then runs them, straight through where the work is clean and in your hands where money, risk or a regulator is on the line.
Core banking, payments, ledgers, cards, cases and controls resolved into one live operations twin, with provenance on every record.
Assemblies, digital workers and AI agents clear payments, reconcile, screen, service and report, on their own until a control needs a person.
The team stops working queues by hand and gets back to the exceptions that actually need judgement.
BOT is not a core banking system, a payments hub, or a case tool. Those hold parts of operations. The grid understands the whole operation and helps run it.
The whole operation runs on the same twin. Clean work moves on its own; the twin stops at the control points where a person has to sign.
Payments, instructions and events captured and resolved to one record.
runs on its ownMatched, enriched and posted against your rules, straight through.
runs on its ownLimits, sanctions and four-eyes checks applied before anything commits.
person on the gateCleared items settled and the ledger updated, reconciled continuously.
runs on its ownReturns and evidence assembled from source, checked before filing.
person on the gateThe record is built as the work happens, not reconstructed when the auditor asks. Open any action and the whole chain is there: what happened, who or what did it, the control it satisfied, and the source behind each step.
Payment instruction captured and resolved to one record on the twin.
Payments hubSanctions and fraud checks run and passed.
Screening agentMaker prepared the release; a checker approved it against the limit.
Maker + checkerReleased within the desk limit, the control satisfied.
Payments APILedger updated and matched, no break left open.
General ledgerTrail is illustrative; each step keeps its own source record and timestamp.
The whole operations function on one twin, opened into ten clusters. Each cluster runs as assemblies composed of workers, agents and APIs.
This is what separates a grid from a solution. Banking operations opens into clusters, each cluster into running assemblies, each assembly composed of the workers, agents and APIs that do the work.
Baseline one operations workflow in this grid, run it governed, and compare against your own numbers before you widen the scope.
We measure the current cost, cycle time and break rate of one operations workflow, using your numbers.
The grid operates on real work with maker-checker and lineage on. You keep the controls.
We put the result next to your baseline. You expand, adjust or step back.
Critical actions like payment release, write-offs and sanctions decisions follow your controls in order, not a probabilistic guess. An operations head, auditor or regulator can open the chain and see exactly why, down to the source record.
Every action carries its maker, its checker and the control it satisfied. Four-eyes is part of how the grid works, not a step bolted on afterwards.
People stay in command on the high-stakes calls: releases above a limit, sanctions and fraud decisions, write-offs and provisioning.
Certified to SOC 2 and ISO 27001, with an independent bias audit, and built for the transparency that regulators and regimes such as the EU AI Act now require.
On your ledgers, your controls, your exceptions, as the use case. Not a generic demo.