AI Adjudication

The Reasoning Layer.
The Execution Layer.

AI Workbench reasons. BusinessBANKER executes and governs.
Deployed on the systems your bank already runs — nothing replaced.

AI Workbench multi-agent adjudication workflow: extraction, analysis, recommendation and human-validation steps.

AI Workbench

The Reasoning Layer — Multi-Agent Adjudication

Extraction, analysis, recommendation, human validation. Built from your own credit experts' judgment — not a generic model fine-tuned on someone else's portfolio.

Model-agnostic: any LLM, swapped per agent, without rewriting the workflow. Source-accessible. Deployed in your cloud.

Overlays your existing LOS and core. Nothing is replaced.

Model-Agnostic Source-Accessible Bank-Controlled Deployment
See the Architecture →

BusinessBANKER

The Execution Layer — Governed System of Record

Captures, versions, reviews and audits what the agents produce, then executes the resulting actions — documents, workflow, booking — where the incumbent LOS cannot.

Built on Cognitive Core, our no-code workflow engine. Your credit team configures it; nothing is IT-dependent.

AI Workbench is to BusinessBANKER what Claude Code is to GitHub: one reasons and does the work, the other governs and records it.

Zero IT Dependency Full Audit Trail Deploy in Weeks
See BusinessBANKER in the Field →
Cognitive Core no-code workflow network: an origination flow with role-gated task steps, conditional branches, and permission controls.

Cognitive Foundry

The Judgment Behind Every Agent

Your best credit officer retires in 18 months. Their judgment, edge cases, and intuition — do they walk out the door?

Not anymore. We've captured 1,000+ hours of Cognitive Task Analysis from senior analysts — this is the expertise AI Workbench's agents are built from.

1,000+
Hours of CTA
30
Years Encoded
Cognitive Task Analysis Think-Aloud Capture Expert Agents
Discover the Foundry →
Cognitive Foundry Logic

Legacy systems store transactions.
We store judgment.

Cognitive Core in the Field

BusinessBANKER · Commercial Banking

From 140 Steps to a 30-Second Request

A cognitive task analysis of a major Canadian bank's commercial lending process revealed 140+ discrete actions, 7 disconnected systems, and a technical error rate exceeding 100%. BusinessBANKER — built on Cognitive Core — eliminates the friction entirely.

140+ Steps eliminated
30s New loan request
45% Decisions automatable
Read the Case Study →
Loan submission 2+ hours 30 seconds
Systems required 7 apps 1 platform
Technical error rate 100%+ Validated at entry
Doc prep returns 50% rework Auto-generated
Credit back-and-forth 2.7× cycles Near zero

Measured, Not Promised

Measured, not promised

Published benchmark: 96% system accuracy vs. 57% for a senior human adjudicator. Every engagement starts in shadow mode against your own analysts.

Control

No model lock-in, no vendor-hosted black box — runs in your own AWS. The objection nCino, Zest AI, Aloan and Kaaj cannot answer.

Governance built in

Audit trail, confidence thresholds, and an automation-threshold specification aligned with OSFI E-23 — delivered as a model-governance pack, not a roadmap item.

Execution, not just insight

Recommendations become governed, auditable actions in a system of record — the gap every bolt-on AI tool leaves to the bank.

Proven in production

RBC, Desjardins, DUCA and eleven institutions across Canada; live Fiserv DNA integration; SOC 2 Type 2 hosting; SSO, MFA, RBAC.

What we don't claim: best-in-class depth in every point vertical — CRE valuation, consumer scoring, document forensics. Those are partners, not battles. The claim is breadth, governance and control in one platform, from one vendor.

Start With a Shadow-Mode Pilot

10–12-week fixed-fee shadow-mode pilot → go/no-go → AI Workbench in production on your existing workflow → annual platform fee plus a fee per approved transaction → BusinessBANKER execution layer where the LOS falls short.

12 wksPilot duration
$75K CADFixed fee
≥40%Target reduction
0Systems replaced
1Decision at the end
Schedule a Briefing →