Credit is decided by models.
From 20 November 2026, EU lenders must explain automated credit decisions and offer a human review on request. UK and UAE rules point the same way.
Phainly comes from the Greek phainō, to bring to light.
Models already decide who gets credit. Next, AI agents will pay on your customers' behalf. Phainly explains each automated decision, proves who authorised it and keeps it within limits, so you can automate and still answer for every outcome.
EU Consumer Credit Directive applies in EU Consumer Credit Directive has applied for 15 d 10 h 04 m
For decades a person decided, and a person could explain. Now models decide in milliseconds and agents are learning to pay. Supervisors in Brussels, London and Abu Dhabi are asking banks the same question.
From 20 November 2026, EU lenders must explain automated credit decisions and offer a human review on request. UK and UAE rules point the same way.
Visa and Mastercard opened agentic payments to dozens of European banks in 2026. Banks still can't see who sent an agent, or what it is allowed to do.
Gartner expects AI agents to handle more than $15 trillion of business purchasing by 2028. Many spend controls for AI only send an alert.
LUCID solves the problem lenders face this month. SIGIL and KEEL are built for the next wave, and we are designing them with partner banks now.
Explained credit decisions and human review
Every “no”, explained. Every review, real.
LUCID sits beside any scoring model. It turns each automated credit decision into a clear explanation, a path to yes, a one-tap human review and a sealed record. Those are the things CCD2 asks of lenders from 20 November 2026.
Mandates and proof for AI agents
Know which agent. Know who sent it. Know what it may do.
Your customers are about to send AI agents to their accounts. SIGIL lets them give each agent a signed mandate with a scope, limits and an end date. It checks every agent request against that mandate and records the result in a tamper-evident black box.
Treasury and brakes for agents' money
Agents can spend. KEEL decides how much.
KEEL gives every agent an allowance worked out from the business's real cash forecast. It checks each spend before it happens and stops a runaway agent, a team or the whole company in one move. Every agent payment lands in a ledger auditors can trust.
All three products write to the same decision ledger. Each entry records what was decided, by whom or by what, on which data and under which rule or mandate. Entries are chained by hash and time-stamped, so nobody can quietly rewrite history.
| Time | Who decided | What | On what basis | Explanation | Human review | Within limits | Seal |
|---|---|---|---|---|---|---|---|
| 09:14:03 | Scorecard v4.2Credit model | Decline: pay in 6, €680 | R-17: commitments 52% of incomeR-09: returned direct debits | ShownVersion E-14, English | RequestedBy the customer at 09:16 | — | 7f3c…a1 |
| 09:41:12 | Trip plannerAgent acting for A. Novak | Pay €186: rail ticket | Mandate M-0193Travel, €900 per booking | RecordedWithin mandate | Not needed | Yes€606 of €2,000 this month | 9c0d…4e |
| 10:15:30 | Research agentAgent for Acme Ltd | API spend €18.40 | Budget B-12Research tools | RecordedNormal rate | Not needed | Yes€212 of €600 today | e04a…7b |
| 10:17:02 | KEEL gateAutomatic control | Pause Research agent | 31 calls a minuteNormal rate is 1.2 | RecordedAnomaly rule K-04 | Owner askedApprove or keep paused | StoppedSpending 26× normal | 55d2…c9 |
| 10:20:47 | Unsigned botNo verified identity | Balance request | No mandateNo signature | RecordedBlocked, customer told | Not needed | — | c3e9…12 |
| 11:31:18 | M. KovalenkoCredit reviewer | Approve €400 on review | Case R-2611-0417Refund confirmed in transactions | ShownVersion E-15, English | Done2 h 15 m after the request | — | 1b77…0c |
Works beside your scoring and decision engine. There is nothing to replace.
Teams ask questions in words. Every answer shows the SQL that produced it.
Stores references and hashes where it can, rather than copies of customer data.
Deploy in your cloud region or on your own infrastructure.
The dates that matter to lenders and payment firms in the EU, the UK and the UAE.
Banks are expected to explain AI-driven decisions and keep human oversight of credit decisions.
New rules for significant automated decisions, including human intervention and the right to contest.
Online tools must come with adequate explanations, and a person on request.
Borrowers gain rights to an explanation, human intervention, to give their view and to a review of automated credit decisions.
Automated decisions to accept or refuse customers need meaningful human intervention.
High-risk obligations apply to creditworthiness assessment: human oversight, logging and explanations.
Expected to apply, with new rules on fraud and on how payments are authorised.
Sources
Every sentence we generate points to the data and the rule behind it.
We explain, route and record decisions. Your people and your models make them.
We measure review quality, including test cases that show whether reviewers truly check.
Minimal personal data, clear retention and deployment in your region.
Time leftIn force for
Book a readiness diagnostic. We map your automated credit decisions against the new consumer rights and show you what is missing. For SIGIL and KEEL, ask about the design-partner programme.