Industry · Financial services
Onboarding files, claims and credit dossiers run on documents and rules. That's the work AI agents can take on first, as long as they're connected to your core systems and stay inside your controls. That connection is the part Infosistema does.
In processes with high volume and clear rules, where people spend the day collecting documents and re-keying data into a second system. Five of them come up in almost every bank or insurer we talk to.
The agent collects the documents a file needs, checks them against official sources, flags what's missing or inconsistent and hands a complete dossier to the analyst.
The agent reads the first notice of loss and its attachments, opens the claim with the right data, checks cover against the policy and routes the case by complexity.
The agent assembles the dossier for a business credit request: company status, tax and Social Security position, annual accounts (IES) and beneficial owners, each with proof of source.
The agent matches records between systems (payments, premiums, commissions), clears the routine differences and prepares the rest for a person with the evidence attached.
The agent classifies incoming requests, drafts the reply from the customer's record and the applicable rules, and tracks the regulatory deadline.
Regulation, old systems and the cost of a wrong action. An agent in a bank touches accounts and personal data, so every action has to be logged and contained.
With a three-week analysis sprint on a defined scope, for example retail onboarding or motor claims.
Small agents on pains your teams already know can start in supervised mode from week 2. After that, an agent moves up four levels of autonomy (shadow, supervised, guided, autonomous), and only when its numbers against the baseline justify the step. One that takes part in a credit decision can stay supervised for good.
Systems that run in production, many of them for decades. Agents are the newer part; the integration knowledge comes from this work:
Clients in the sector include Santander, Caixa Geral de Depósitos, BPI, Bankinter, Barclays, EuroBic, Crédito Agrícola, Ageas, Liberty Seguros, Médis and Ocidental. The full list, by sector, is on the clients page.
Santander Totta
Banco Invest
A bank and an insurer
A bank
Santander Totta
Santander Totta
Mútua dos Pescadores
Yes, in most back-office and operations processes, with controls. Each process is classified under the EU AI Act before anything is built, the agent gets the minimum access it needs, and every action is logged. High-risk uses such as credit scoring of individuals keep a person deciding.
Processes with high volume, many documents and stable rules: onboarding and KYC, company credit dossiers, reconciliation and request handling. The analysis sprint confirms this for your case and also tells you where classic automation is cheaper.
Only if you decide it can. Agents can run in your VPC, on-premises or air-gapped, with models chosen by data sensitivity. Official data from bizAPIs is not retained by bizAPIs.
The agents, their platform and Infosistema as a provider enter your ICT third-party register like any other service. Each agent has a named owner, documentation, an audit trail and an agreed way to switch it off.
Operation is estimated in the analysis sprint, before any decision to build: monthly operation and maintenance, model consumption with a monthly cap, and infrastructure. The monthly report shows the cost per completed task.
No. Agents work on top of the systems you have, through their APIs or through a service layer we add where no API exists.
Tell us which process you'd like to look at first, and we'll reply within 1 business day.
