AI bank reconciliation
Suggested matching of bank lines and discrepancies, plugged into your ERP or accounting software.
See the pageEach agent takes on one specific everyday task, inside the software you already use, and stops where a human decision is needed. For each one we show its real maturity: delivered, tested in-house, or built for your project.
Access International's agentic solutions are AI agents that carry out business tasks inside your tools: finance and accounting, documents and contracts, communication and monitoring, customer relationship. Each page states what the agent does, what it does not do, its maturity and where your data goes. A human approves any action that commits the company. First step: a trial on your real data, then scoping.
Agents that prepare the repetitive work of the finance back office: statement matching, supplier invoice processing, payment reminders, invoicing, quotes. The accountant or the CFO keeps the final say.
Suggested matching of bank lines and discrepancies, plugged into your ERP or accounting software.
See the pageReceipt, checks, approval and posting of purchase invoices, all the way to payment.
See the pageCut customer payment delays and give finance a cash position that stays current, with a solution built for you at scoping, without adding another software product.
See the pageGive a small business and its accountant clean, current documents without installing an ERP.
See the pageProduce consistent, presentable quotes from a brief, with no retyping and no invented price.
See the pageAgents that read long or mixed documents, extract the useful information and flag what is missing or inconsistent, with a reference to the source page.
Get a reliable table of the key clauses across a batch of contracts without a single page leaving the company network.
See the pageCatch, before shipment, the discrepancies between the purchase order, invoices, packing lists, certificates and bill of lading of an export file.
See the pageAgents that sort incoming information (mailbox, monitoring sources) and turn it into actions or newsletters ready to send, after a human review.
Regain control of an executive mailbox without spending the morning on it or handing a single reply to a machine.
See the pageGive a leadership team regular, reliable industry intelligence without dedicating a full-time person to produce it.
See the pageCustom sales follow-up tools designed to be filled in the field: voice dictation, business cards, offline work.
Give sales teams a CRM they actually keep up to date, because it adapts to the way they work rather than the reverse.
See the pageWhat frames our agents, and the agents of market platforms that we can configure for our clients.
The ServiceNow platform's AI agents: a capability we can configure on your instance for IT support.
Making several agents work together on a chain of tasks, with human checkpoints.
Our method to scope, build and put an agent into production.
Rights, logging and guardrails for an agent that acts inside your systems.
Looking for our other AI products (chatbots, digital audit, content generation)? See the full catalog.
An AI tool answers when asked: it summarises, translates, drafts. An AI agent chains the steps of a task by itself inside your tools: it reads a mailbox, matches lines, prepares a reminder or a report. On our agents, every action that commits the company (sending, paying, final posting) waits for a person's approval.
Delivered at our clients: the agent runs at one client at least. Internal test — available: it works in-house, on our own data, and can be deployed at yours. In progress / ready for deployment: it is in pilot, or it is built for your project starting from scoping. We never present a feature as existing when it does not.
Yes, that is the principle: the agent works inside your tools (mailbox, ERP, accounting software, CRM) rather than adding one more. If the software offers an API or a scheduled exchange, the agent runs automatically; otherwise it goes through file exports and imports. The mode and the connector are set during scoping.
It depends on the AI model chosen, and we state it for each agent. Some agents use a cloud model; others can run on a machine installed on your premises, with no document leaving your network. The choice is made during scoping, according to how sensitive the data is.
The timeline is set during scoping, after a trial on your real data: it depends on the software to connect, the volume and the rules specific to your business. We do not give a deadline before seeing your data.
Page reviewed and updated on .
Tell us which task costs you the most time: we propose a trial on a sample of your data, then a costed scoping.
Discuss your project