/PRODUCT · OPERATIONAL_EXECUTION

One engine for
self-service and agent assist

One engine for self-service and agent assist, powered by plain-language product knowledge.

/01 · THE PROBLEM

When the credit committee moves, the system doesn't.

Tightening an LTV cap. Adjusting income multiples. Adding a new sub-product for first-time buyers. Each of these is a credit committee decision that ought to be live by the next application — and instead becomes weeks of release-train work.

In the gap, every application uses the old policy. The committee made the right call; the technology kept the bank operating on the previous one.

/02 · HOW IT WORKS

One agent orchestrates the
full origination flow

End-to-end consistency: the credit team writes the policy, the agent applies it every time.

STEP 01

Collect the application

Form-fills, document uploads, broker-channel submissions. The agent normalises the data and figures out which credit policy applies to this applicant for this product.

STEP 02

Pull evidence in parallel

Credit bureau, open banking, employer verification, internal exposure. All in parallel, not sequentially — so the slowest external call sets the latency, not the sum of them.

STEP 03

Apply the policy

The agent reads the active credit policy description and applies every rule it contains: hard knockouts, eligibility, affordability, exposure caps, product-specific overlays.

STEP 04

Decide or package

If the rules permit a clear answer, the agent returns it. If not, it packages a decision-ready file for the underwriter — with the rule that triggered the referral cited up top.

/03 · THE OPERATING MODEL

A credit policy your committee can read out loud.

This is the file the agent uses, written in the language of the credit committee's minutes. When the committee meets next Tuesday to tighten the LTV cap, the analyst will update one number in this file. The next application will follow the new policy.

/04 · WHAT CHANGES

Concretely, on day one.

0h avg.
From credit committee decision to live policy in the agent.
Fast decisions when bureau, income, and simultaneous affordability checks run together.
0%
Lower underwriting queue once policy edge cases live in the description.
0%
Of decisions ship with the rule version cited in the audit record.
/OWNERSHIP

For your credit team

  • Policy revisions tracked by committee cycle in plain language.
  • Product overlays are paragraphs, not parallel codebases.
  • Audit-ready report on every past decision, in seconds.
  • Same-day rollouts after committee meetings.
/EXECUTION

For your underwriting team

  • No more "did anyone update the credit memo?" reconciliation.
  • Fewer repetitive checks, more high-value human decisions.
  • Cases are routed with the exact policy rule cited upfront.
  • Throughput rises without adding underwriters.
/05 · TRADITIONAL VS CORNYTIS

Same workflow surface.
Different operating model underneath.

Dimension
Origination platformTraditional
CornytisAgentic model
External calls
TraditionalSequential, bottlenecked by slowest
CornytisParallel, latency = max(calls)
Time from committee → live
Traditional4–8 weeks via the release train
CornytisHours — same-day on most edits
Underwriter handoff
TraditionalRaw application + attachments
CornytisDecision package with cited rationale
Policy ownership
TraditionalIT-configured rule engine
CornytisSimple descriptions owned by credit
Audit evidence
Traditional"This was the live policy at the time…"
CornytisPolicy text linked to past decisions

The point isn't faster origination. It's removing the latency between what your credit committee decides and what your origination platform actually does.

Start with one process.
Expand across your bank.

See Cornytis in action with a live walkthrough tailored to your operations.