Customer onboarding agent
Collects documents, runs identity and KYC checks and prepares the file for approval.
People approveCompliance officers approve every new account with a risk flag.
AI agents for financial services.
Onboarding, alerts and the close, with every decision on record.
Agents and data platforms for banks, insurers and asset managers, built into the core, CRM and compliance systems already in place, with people approving what matters.
- 01Compliance work grows every year
New rules, more checks and more reporting land on the same teams each year.
- 02Alerts outnumber analysts
Most monitoring alerts are false positives, and each one still needs a person to read it.
- 03Onboarding takes weeks
Documents, identity checks and approvals move by email, while clients wait to start.
Where AI pays back first
Agents across the client lifecycle.
The agents Twistag builds most often for financial services, from onboarding to the close. Each one keeps a person on the decisions that matter.
01 · Onboard
Documents, identity and KYC.02 · Serve
Client questions in every channel.Reply drafting agent
Classifies each message, pulls up the account and drafts a reply in the house voice, checked against written guidelines.
People approveAn advisor approves or edits every reply before it goes out.
03 · Claims
Claims, refunds and evidence.Refunds and claims triage
Sorts incoming claims, checks them against policy and evidence, and prepares a recommendation for each.
People approvePayouts above the threshold and any claim flagged as unusual.
04 · Monitor
Alerts, cases and evidence.Alert review agent
Investigates transaction monitoring alerts and drafts a case summary with the evidence attached.
People approveAnalysts close or escalate every case.
05 · Comply
Rules, policies and markets.Regulatory check agent
Checks products, labels or communications against the rules of each market, citing the regulation behind each finding.
People approveA regulatory specialist signs off each market.
Policy question agent
Answers staff questions on internal policy and regulation from approved sources only.
People approveCompliance owns the source library and reviews flagged answers.
06 · Close
Reconciliation and collections.Month-end close assistant
Reconciles accounts, chases missing items and drafts variance commentary for the close pack.
People approveThe controller signs off every journal and the final commentary.
Cash collection agent
Tracks overdue invoices, sends reminders tuned to each customer’s history and logs every promise to pay.
People approveCredit controllers approve escalations, payment plans and account holds.
Proof
All financial services case studies Financial services work.
Three steps from question to daily use.
- 01Find where it pays back2–4 weeks · from €5,000
Map the client lifecycle from onboarding to the close, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.
AI Readiness Sprint - 02Build the first agent6–12 weeks
One agent on real data, connected to the core, CRM, compliance or finance systems already in place, with people approving each action.
Multi-agent Systems & Agent Engineering - 03Scale and governOngoing
More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.
Agent Governance & Security
Questions
About AI in financial services.
Which processes should get an agent first?
The ones that repeat every day, follow rules a person can explain and are easy to check. Client onboarding, alert review and the month-end close are common first choices. The AI Readiness Sprint ranks them for the specific firm.
Which systems do the agents connect to?
The ones already in place: core banking or policy administration, CRM, KYC and screening tools, transaction monitoring, document management and the general ledger. Agents connect through APIs or exports, so nothing needs replacing to start.
How long until the first agent runs every day?
Six to twelve weeks from scoping, on real data, with people approving each action until the results hold.
Where does client data stay?
In the firm’s own cloud tenancy or data centre. Each agent has its own access rights, every action is logged, and the setup is documented for security and operational resilience reviews such as DORA.
How does the EU AI Act apply to financial services?
Each agent gets a risk classification before it goes live, with the controls that class needs. Onboarding, alert review and close agents support analysts and are usually limited risk. Credit scoring and life or health insurance pricing are high risk under the Act, and are scoped with the compliance team from day one.
Who owns what is built?
The client owns everything: code, prompts, data pipelines and documentation, handed over in full.
Talk to us
Let’s talk.
Tell us about the company and what it needs. A senior lead takes it from there.
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