Solutions · Fintech
Onboard faster.Scale cleaner.
Fintech AI your engineers do not have to build.
Pryme Intelligence gives fintechs governed AI agents that onboard customers in minutes, investigate payments and fraud under your team's sign-off, clear the AML queue, run customer service in your brand voice, and ship the regulatory evidence your sponsor bank or regulator expects — wired to the payments, identity, ledger, and support stack you already run.
You do not need another internal tooling project.
You need ops, support, and compliance to scale faster than headcount, and you need your CTO to have a build-vs-buy answer they can defend. Pryme Intelligence gives fintechs a governed agent layer that clears the queue, keeps engineering on product, and stays inside the approval chain you already run.
Speed without the build
You do not need another internal tooling project. Pryme Intelligence gives ops and compliance a governed agent layer without taking twelve months off the product roadmap.
Unit economics that improve
The point is not AI theatre. The point is getting onboarding, support, investigations, and reporting off the lean ops team’s plate so cost-to-serve falls as the book grows.
Control your sponsor bank accepts
Payment authority, account-status changes, fraud holds, and sensitive customer comms stay approval-gated, with the evidence trail your sponsor bank, regulator, or auditor expects.
Onboard → Operate → Comply → Scale.
The same four-part pattern works across onboarding, customer ops, fraud, AML, sponsor-bank evidence, and cross-market growth.
Onboard
Fintechs win on onboarding speed. Pryme Intelligence runs KYC, KYB, and activation end to end — pulling identity evidence, screening sanctions and PEP, drafting the risk rating, and surfacing drop-off before customers churn out of the funnel.
Operate
Tier-one service runs across in-app, chat, email, and Slack or Teams for B2B support in your brand voice, with ledger and account context attached. Payment investigations and fraud alerts are triaged without giving the agent account-hold authority.
Comply
AML alerts are investigated under MLRO sign-off. KYC refresh is chased to close. Sanctions screening, adverse-media review, and regulatory reporting are drafted against the perimeter you actually operate in — FCA EMI or PI, US state, sponsor-bank, or multi-market.
Scale
As your customer book grows, Pryme Intelligence grows with it — same Workspace, same governance, same audit trail. New markets get region-scoped agents. New product lines get new agents drafted in chat. Engineering stays on customer-facing product instead of internal tooling.
One Workspace across neobank, payments, lending, wealth, insurtech, BaaS, and digital assets.
Pryme Intelligence’s fintech agent surface adapts to your operating model. Same governance, same audit trail, same Workspace — across whichever subsector you operate in.
Two pre-trained agents. Five blueprints ready to deploy. Two with enterprise setup.
Pryme Intelligence’s fintech catalogue mixes fintech-native agents for onboarding, payment investigations, fraud triage, and sponsor-bank evidence with the cross-workflow agents your COO, CCO, and CFO use elsewhere in the firm.
Fintech Operator Agent
Acts as a senior fintech operator across customer service, payment investigations, account servicing, and refund handling within the policy thresholds you set.
- Handles balance, transaction, and account-service questions with ledger and CRM context attached.
- Drafts payment-investigation and remediation steps across processors, card networks, and support tools.
- Routes refunds, account changes, and sensitive customer communications to the named human approver.
Compliance Officer Agent — Fintech
Pre-trained on FCA EMI and PI, US state money transmitter regimes, sponsor-bank models, PSD2 and PSD3, MLRs, and BSA. Reads policy, maps controls, drafts attestations, and answers ‘is this allowed?’ with the citation attached.
- Drafts policy and controls answers with the regulatory citation attached.
- Prepares sponsor-bank and regulator evidence without creating a second documentation stack.
- Keeps interpretation, attestation, and sign-off tied to the same audit trail the fintech already runs on.
Why Pryme Intelligence instead of building it yourself or buying another point tool.
Every fintech CTO evaluates the AI vendor against the build-it-yourself alternative. This page should answer that objection directly.
Built for the fintech leaders who have to defend the speed and the controls.
CEO / COO
You need operations to scale without the cost line scaling with it. You need the next funding-round narrative to show operating leverage, not operational drag.
Head of Operations
You need onboarding, support, and payment investigations to stop being the bottleneck on every launch and every growth spike.
CTO / VP Engineering
You need a build-vs-buy answer you can defend. Internal agent infrastructure is not free just because the API is accessible.
Head of Compliance / MLRO
You need the queue to clear, the evidence to hold up, and the sponsor bank or regulator to accept the workflow that AI is participating in.
What changes in the first quarter.
Targets below are typical for fintechs in the first 90 days. Share a real workflow on a 30-minute call and Pryme Intelligence can model the lift on your own queue and your own data.
Bring a real fintech workflow.We'll show you what Pryme Intelligence does with it.
Thirty minutes. One workflow you actually run — onboarding queue, AML alert load, payment investigation queue, or support backlog. We’ll deploy a governed Pryme Intelligence fintech agent on it live and walk through the audit trail it produces.
Questions fintech leaders ask first.
Can a Pryme Intelligence agent process a payment, change account status, or close a customer dispute without my approval?
No. Payment authority, account-status authority, dispute-resolution authority, and sensitive customer-communications authority are permissions you grant, not defaults. Sensitive actions route to a named human in your approver chain and every approval is logged with the reasoning, customer context, policy citation, and approver identity.
We’re regulated as an EMI, PI, MSB, or under a sponsor-bank model. Does Pryme Intelligence work for that perimeter?
Yes. The fintech compliance surface is designed for FCA EMI and PI, US state money transmitter regimes, sponsor-bank models, PSD2 and PSD3, MLRs, BSA, and similar multi-jurisdiction workflows. Region-scoped agents and enterprise setups keep the policy variant and evidence trail aligned to the market you operate in.
We have an engineering team. Why not build this ourselves with the OpenAI or Anthropic API?
Because the API is the easy part. The hard part is building the connector layer, approval engine, audit trail, multi-tenant isolation, model and prompt versioning, runtime controls, and regulator-ready evidence for every use case. Most fintechs that try land in a 9–18 month build with 2–4 engineers per use case before they are actually comfortable putting it into production.
Will this slow us down compared with a simple prototype?
No. It removes the delay between prototype and production. You still get speed, but the speed lands inside a governed runtime with named approvals, auditability, and system-level controls instead of another demo that never ships.
Does Pryme Intelligence integrate with our payments, identity, ledger, and support stack?
Yes. The platform is designed to sit above the processors, identity systems, ledger tools, CRM, support stack, and internal APIs fintechs already run, so your ops team gets a governed agent layer without replacing the core systems underneath.
Can we start with one workflow and expand later?
Yes. Most fintechs start with the pain that is already visible in the metrics — onboarding drop-off, payment investigations, support backlog, or AML alerts — then add more agents into the same Workspace once the first workflow is live.
What does the cost shape look like as we grow?
The point is to make cost-to-serve fall as the customer book grows. Pryme Intelligence gives you a subscription-and-usage model instead of adding internal tooling headcount, another point-vendor contract, and another queue that still needs people to hold it together.