“The Model Said So” Is Not an Explanation
Every automated decision in a financial firm is one somebody may later have to justify — to a customer who was declined, to a compliance function reviewing a file, to a person asking why this application was treated differently from that one. A system that cannot show its reasoning in language a person can read is unusable here, however accurate it turns out to be.
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Six questions you will be asked about a decision
Each of these arrives weeks or months after the decision, usually from somebody who was not there. If the system cannot answer them, a person has to reconstruct it by hand.
- Why was this one declined?In words, not a score
- What did it see?The exact inputs, not a summary
- Would a person have agreed?Sampled and checked, not assumed
- Was it consistent?Two similar cases, same outcome
- What version was running?Models and prompts both change
- Who could override it?And is that recorded too
The fourth row is the one people underestimate. Two near-identical applications receiving different outcomes is a serious problem even when both outcomes are individually defensible — and it is invisible unless somebody is checking for it deliberately. Consistency is a property you have to test for, not one you get by having a good model.
Automate the assembly, let a person make the call
The safest and most valuable shape here is not an automated decision at all. It is automated preparation: pulling the documents together, extracting the fields, checking what is missing, flagging what looks unusual, and presenting a person with a complete file and a recommendation. The judgement stays human, the two hours of assembly disappear, and the explanation question mostly does not arise because a named person decided.
Where a decision genuinely is automated, it needs a reason attached in plain language at the moment it happens — not a confidence score, not a set of feature weights, but a sentence somebody could read to a customer. If the system cannot produce that sentence, the decision should not be automated. That is a simple test and it removes a lot of bad ideas early.
Consistency needs checking on purpose. Run near-identical cases through and compare, on a schedule, because the failure mode is not being wrong — it is being differently right for two people whose circumstances match. That is invisible in an accuracy figure and obvious the moment somebody puts two files side by side.
And version everything: the model, the instructions, the thresholds. A decision made in March was made by a configuration that may not exist now, and the ability to say which one is the difference between answering a question and apologising for not being able to. None of this is compliance advice — it is how we build so your compliance function can answer its own questions.
- ✓Automate assembly, not judgement — The file gets prepared. A named person decides.
- ✓A sentence, not a score — If it cannot produce one, do not automate the decision.
- ✓Test for consistency deliberately — Differently right for two matching cases is the real failure.
- ✓Version model, prompt and threshold — March was decided by a configuration that may be gone.
- ✓Overrides recorded too — Who changed it, and why, is part of the record.
The failure mode is not being wrong. It is being differently right for two people whose circumstances match.
What we build for a regulated firm
Six things, and the first one deliberately keeps a person in the decision.
File Assembly, Not Decisions
Documents gathered, fields extracted, gaps flagged, oddities highlighted — then a person decides. The two hours disappear and the judgement stays where it belongs.
A Reason in Plain Language
Attached at the moment of any automated decision, in a sentence you could read to a customer. If the system cannot produce one, that decision does not get automated.
Scheduled Consistency Checks
Near-identical cases run and compared on a cycle. It is the failure nobody looks for and the one that is hardest to explain afterwards.
Everything Versioned
Model, instructions and thresholds, each stamped on every decision. So the answer to "what was running in March" is a lookup rather than an archaeology project.
Document Extraction With Its Sources
Every extracted field pointing back at the page and line it came from, so a person can verify in seconds rather than re-reading the document.
Overrides, Recorded
Who changed an outcome and why, kept with the decision itself. An override with no reason attached is the gap somebody will find later.
What clients say
Real clients, quoted in their own words — published with their permission.
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More of them, in full, on our reviews page.
— Our Proprietary Methodology —
The Visibility Framework™, applied in Finance
The method doesn’t change by market. What it’s pointed at does.
Audit The Hours
Where time actually goes, task by task, scored on volume, repetition and the cost of getting it wrong. Ends in a ranked blueprint with estimated hours saved — yours to keep either way.
Design The Guardrails
Before any building: what the agent may touch, where a human must approve, what happens when it is unsure, and which data is never allowed near a third-party model.
Build & Evaluate
One workflow at a time, in your accounts, scored against real examples from your business before it touches live work. Shipped early so it meets reality while it is still cheap to change.
Run & Improve
Monitored for cost, failures and quality drift. Models change, your business changes, and an automation nobody tends becomes a liability rather than an asset.
Honest, No-Nonsense Commitment
If the audit concludes that a task is not worth automating, we will tell you and refund the difference rather than build it anyway. And if a workflow we built does not hit the outcome we agreed in the blueprint, we keep working on it at no extra cost until it does or we take it out.
AI Automation pricing for Finance, in GBP
Quoted in pounds, with evaluation included rather than optional. This is not compliance advice. We build so your compliance function can answer its own questions; what those questions are is theirs to define, and any agency answering that for you on a sales page is telling you something it cannot know.
Assembly
Prepare the file, a person decides.
- Document extraction with source references
- Gaps and oddities flagged for review
- Everything versioned from day one
Assembly & Triage
The usual one. Plus routing and priority.
- Everything in Assembly
- Plain-language reason on every routing decision
- Scheduled consistency checks
- Optional: bundle in SEO or Website Development
Enterprise
Multiple products or approval chains.
- Per-product rules with recorded overrides
- Export built for an external reviewer
- Evaluated before every threshold change
- Optional: combine all 4 services for full-funnel growth
Every plan is scoped around your market — start with a free first look and we’ll recommend what fits, priced in GBP.
What you’re actually committing to
Most agencies keep this in a contract you only see after the sales call. We would rather you knew now, because it is the question everyone asks second — right after the price.
- The audit is credited, not sunkPay for the audit, and the full amount comes off the build if you proceed. If you don’t, the blueprint is still yours to hand to anyone else.
- A fixed build price after the auditQuoted once we know what we are building. If it takes longer than we estimated, that is our risk — the price only moves if you change the scope.
- You own everythingAccounts, API keys, workflows, prompts, evaluation sets, logs and documentation — all in your name from day one, and still yours if we never work together again.
- Running costs are yours and visibleAPI usage is billed by the provider directly to you. We never resell tokens or mark up usage, and you see the real number.
- The retainer is month to month30 days’ notice, no exit fee. Stop it and your automations keep running — you are simply maintaining them yourself.
- Human approval is the defaultAnything customer-facing or irreversible needs a person until the evaluation data justifies otherwise, and that decision is yours to make, not ours.
These are the terms as they appear in the agreement itself — nothing here is softened for the website. The full wording lives in our terms and conditions, and you get the agreement to read before anything is signed or invoiced.
Finance AI Automation questions, answered
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Same service, different angle — by market, by service and by industry.
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