Synapse Fusion · Banking
Less time on files, more time for customers.
Banks and credit unions run on documents: onboarding files, credit memos, policies, regulatory updates and reports. AI can draft, sort and summarise much of that work so your people spend more of their day on customers and on judgement. Credit decisions, and every other decision that matters, stay with people.
Where the time goes
Where the hours go today
In many banks the time does not go on the decision itself. It goes on gathering, reading and re-typing the information around it.
Onboarding and KYC files
Identity documents, ownership structures and source-of-funds evidence are collected, read and checked by hand, often several times.
Credit paperwork
Credit officers can spend hours turning financial statements and notes into a memo before any judgement is made.
A steady flow of rules
Supervisors, payment schemes and lawmakers publish new requirements and guidance, and someone has to read them and map them to policy.
Reporting for many audiences
Boards, risk committees, supervisors and management each want the same numbers explained in a different way.
What AI can take on
Six places to start.
In every case, AI prepares and a person checks and decides. The value comes from your people knowing where to use it, and measuring what it gives back.
TodayRelationship managers pull account history, notes and product information from several systems before each meeting and write the follow-up by hand.
With AIAI can prepare a one-page brief from the information the banker is allowed to see and draft the follow-up letter. The banker checks, edits and sends.
More time with customers, and follow-ups that go out the same day.
TodayAnalysts read every document in an onboarding file and type the key facts into the case system.
With AIAI can extract names, dates, ownership details and missing items from the documents into a checklist. The analyst verifies each item and makes the call.
Fewer back-and-forth requests to customers and faster, more consistent files.
TodayCredit officers summarise financial statements, covenants and history into a memo, much of it by copying and re-typing.
With AIAI can draft the descriptive sections of the memo from the documents in the file and flag points to look at. The credit officer writes the assessment, and people take the credit decision.
More of the credit officer's time goes on judgement, less on transcription.
TodayCompliance teams read new rules, guidance and consultations in full to work out what changes for the bank.
With AIAI can summarise a new text, compare it with the bank's current policies and list the sections that may need updating. Compliance staff confirm the reading and decide the actions.
Faster first assessments and a clearer trail from each rule to each policy.
TodayFinance teams explain the month's movements line by line in spreadsheets and slide decks.
With AIAI can analyse the spreadsheet, point out the largest variances and draft the narrative. Finance checks every figure and the explanation before it goes out.
Reports ready sooner, with more time spent on what the numbers mean.
TodayStaff search long procedure manuals or ask a colleague, and answers vary from branch to branch.
With AIAn assistant can answer from the bank's own approved procedures and show where the answer comes from. Staff follow the source, and owners keep the procedures up to date.
Quicker, more consistent answers and less interruption for experienced staff.
Rules that apply
Clear limits, from day one
Banking is one of the more regulated places to use AI, so the boundaries are set before the first use case starts.
- Credit decisions stay with people. Under the EU AI Act, AI used to assess the creditworthiness of individuals or set their credit score is classed as high-risk, with obligations applying on the timetable as amended in 2026. The uses on this page support staff with documents; people assess and decide.
- Model risk and ICT third parties. In the EU, the Digital Operational Resilience Act (DORA) has applied since 17 January 2025 and covers ICT risk and oversight of technology suppliers. In the US, the April 2026 interagency model risk guidance (Federal Reserve SR 26-2) superseded SR 11-7; it places generative and agentic AI outside its scope but expects banks' wider governance to set controls for them.
- Customer data and financial crime. Customer information goes only into tools approved by the bank, under data protection rules and its own security policies. AI can help prepare KYC and AML work, but analysts make the findings and anything sensitive stays within the controls the law requires.
A sensible start
Small, measured, owned by your people.
- 1
Start where documents pile up
Pick one team with heavy document work, such as onboarding or credit support, rather than a customer-facing decision.
- 2
Agree what to measure
Record how long the work takes today so time saved can be shown to finance and risk, not assumed.
- 3
Train people on their real files
Show staff how to use the approved tools on their own work, including how to check what the AI produces.
Questions
What people in banking ask first.
Will AI make lending decisions for us?
No. The uses we describe help staff prepare and read documents faster. Credit decisions stay with your credit officers and committees. Whether a specific AI use falls under the EU AI Act's high-risk rules for creditworthiness assessment depends on what the system is used for, so your legal and compliance teams confirm the classification of each use.
Do our supervisors allow generative AI?
Supervisors expect banks to govern AI like any other risk: know where it is used, control suppliers, protect data and keep people accountable. A sensible start works within your existing risk, DORA and model governance, not around them.
What happens to customer data?
Customer data is used only in tools your IT and risk teams have approved, with the data rules agreed before anything starts.
Explore another view
Sources: Bank of England and FCA, Artificial intelligence in UK financial services, 2024 · EU AI Act, Annex III (high-risk AI systems), point 5(b) · Lewis Silkin, The Digital Omnibus on AI enters into force today, 27 July 2026 · EIOPA, Digital Operational Resilience Act (DORA) · Federal Reserve, SR 26-2: Revised Guidance on Model Risk Management, 17 April 2026
Your move
You’re already paying for AI. Let’s make it pay you back.
Start with a conversation. Tell us what concerns you about AI in your organisation. We will listen, answer with practical solutions and propose a path forward that fits. Or write to jacques@synapse-photonics.com.
