Discovery
We start from your request: the workflow, its volumes, its pain points and who owns it today.
Output
A shared problem statement
All products
AI automation
AI Solutions by Vector
Tailor-made AI agents for administrative and accounting tasks
Vector LS designs tailored AI Agents to automate repetitive, document-intensive and control-heavy tasks for investment funds, family offices, fund administrators and accounting teams.
Built on request
An agent built around your workflow
Every agent starts from a specific request. Tell us which administrative or accounting workflow you want to automate: we map it, define what the agent should do, validate it with your teams and deploy it with the controls you need.
Custom AI Agents for fund operations
Designed around real administrative and accounting workflows
Tailored to each workflow
Agents are scoped around the client process, data inputs and review requirements.
Human-supervised by design
The objective is to support teams, prepare work and surface issues for review.
Built for traceability
Actions, checks and outputs remain visible and auditable.
Modular deployment
Start with one workflow, validate value, then expand to adjacent tasks.
How an agent works
Whatever the workflow, every agent runs the same supervised loop
Collect
Picks up the inputs of the workflow: documents, statements, ledger extracts or emails.
Read and extract
Reads each document and extracts the data points the workflow needs.
Check
Applies your rules and controls: matching, thresholds, consistency with existing records.
Prepare
Suggests the output (a coding, a match, a routing) or flags what does not fit.
Human in the loop
Review
A team member approves, corrects or escalates. Nothing moves on without the controls you set.
Record
Every action, check and decision is logged, so the work stays auditable.
Every output, ready for review
Your teams see what the agent did, why, and what needs their decision
A clear status per item
Each document shows what was extracted, what was matched and what was flagged.
Reasons, not black boxes
Every flag comes with the rule or the difference that triggered it.
Decisions in one place
Approve, correct or escalate: the decision and its author are recorded.
From workflow pain point to custom agent
How we build an agent on request, step by step
Map the workflow
Identify repetitive tasks, inputs, controls and decision points.
Output
A workflow map
Define the agent scope
Select what the agent should extract, suggest, match, route or flag, and what stays with your teams.
Output
A written agent scope
Build on your documents
A first version is built and tested on sample documents from your own workflow.
Output
A working prototype
Validate with users
Test output quality with fund administrators and accounting teams, then adjust rules and thresholds.
Output
Validated outputs
Deploy with controls
Keep human approval, audit logs and escalation rules in the process.
Output
An agent in production
Expand
Start with one workflow, validate value, then expand to adjacent tasks.
Output
A roadmap of next workflows
Examples of target workflows
Where an agent takes the repetitive work off your teams
Document parsing
Input
Subscription forms, statements, contracts and notices.
The agent
Extracts the fields you need into a structured format.
Human review
Fields it is not sure about are sent for review.
Output
Clean, structured data ready for your systems.
GL coding support
Input
Supplier invoices and expense documents.
The agent
Suggests the general ledger account and the cost allocation.
Human review
An accountant confirms or corrects the coding.
Output
Coded entries ready for posting.
Invoice matching
Input
Invoices, purchase orders and service confirmations.
The agent
Matches the documents and checks amounts, dates and counterparties.
Human review
Differences are flagged with their reason.
Output
Matched invoices and a short list of exceptions.
Payment routing
Input
Approved invoices and payment instructions.
The agent
Prepares the payments and routes each one to the right approver.
Human review
Approvers validate before anything is executed.
Output
Payment batches ready for approval.
Cash application
Input
Bank statements and open receivables.
The agent
Allocates incoming payments to the matching open items.
Human review
Unallocated or partial payments are flagged.
Output
Up-to-date receivables.
Reconciliation support
Input
Bank, custody and ledger positions and transactions.
The agent
Compares them line by line and lists every break.
Human review
Each break is explained or corrected by the team.
Output
A reconciliation with documented breaks.
Tax preparation support
Input
Income statements and withholding tax documents.
The agent
Gathers and pre-fills the data the preparation needs.
Human review
The tax team reviews everything before filing.
Output
A prepared file, ready for review.
Anomaly detection
Input
Transactions and ledger postings.
The agent
Flags entries that break your rules or look unusual.
Human review
Each flag is reviewed and closed with a comment.
Output
A reviewed list of anomalies.
“The value is not generic AI. It is targeted automation built around the operating reality of funds, family offices and administrators.”
Controls you set, not the agent
Supervision, traceability and escalation are configured with you
- Human approval
- Decide which outputs need an approval, and by whom.
- Review thresholds
- Below the level you set, the agent does not decide: it asks.
- Escalation rules
- Exceptions reach the right person, with the context to act.
- Audit log
- Every run, input, output and decision is recorded.
- Scoped access
- The agent only works with the data its workflow needs.
Questions we often get
About custom AI agents for fund operations
Repetitive, document-intensive and control-heavy tasks: reading documents, extracting data, matching, coding, routing and flagging exceptions. Decisions that need judgement stay with your teams.
No. Each agent is built for one workflow, with its own inputs, rules and outputs. It does a defined job inside your process.
Your teams. You decide which outputs need an approval, who approves them and when an exception is escalated. The agent prepares the work; people validate it.
It does not guess. Items below the review threshold, or that break a rule, are flagged with their reason and sent to the right person.
Before deployment, the agent is tested on sample documents from your workflow and its outputs are reviewed with the people who do the work today. Rules and thresholds are adjusted until they are validated.
The agent is designed around your existing process. Its inputs, outputs and the systems it connects to are defined with you when the scope is set.
Data access, hosting and retention are defined with you at scoping, in line with your security requirements. The agent only works with the data its workflow needs, and every action is logged.
Yes, and we recommend it. Start with one workflow, validate the value with your teams, then expand to adjacent tasks.
Contact
Contact us
Tell us about your compliance, product or accounting workflows and we will come back to you.
Direct contact
contact@vectorls.io