Enterprise AI · AI for regulated industries

Deploy Banking, Insurance, and Logistics AI Agents in Weeks.Proven in Production.

Accelerate mission-critical value streams: onboarding, lending, underwriting, claims, retention, quoting, track & trace, and more. 220+ enterprise-ready AI agents, or build your own, ready to plug into your legacy systems.

Value streams — in production

Every mission-critical value stream, in stable orbit.

220+ enterprise-ready agents, governed and observable — pulling each one into the flow.

  1. 01Onboarding
  2. 02Lending
  3. 03Underwriting
  4. 04Claims
  5. 05Retention
  6. 06Quoting
  7. 07Track & Trace

Governance — built in

Nothing moves unobserved.

Policy, audit, and human-in-the-loop controls applied uniformly across every agent, workspace, and journey — built for regulators.

Agent builder

Start with a sentence.

flowx — agent builder

what should your first agent do?

try — · · ·

Platform teams, analysts, and everyone else: start with the catalog of 220+ agents or the platform overview.Browse agents →Platform →

The 5%

95% of AI initiatives do fail. Be in the 5% that succeed.

  1. 01

    Why?

    The biggest challenge in deploying AI agents in mission-critical value streams is not building agents, but inadequacy in data access, integrations, process flows and more.

  2. 02

    Solution

    For 10+ years we've shipped AI that scales in complex, regulated environments. Today, companies run critical customer and operations journeys on FlowX.AI.

Agents

Our production-ready AI agents and agent stacks.

220+ mission-critical AI agents across 20 categories, designed for regulated industries. Four of the stacks running in production today:

stackagentscoversstatus
  • retail-mortgage-underwriting9end-to-end checks: contract ↔ appraisal ↔ title/EPC · income & self-employed · debts, collateral, completenessin production
  • commercial-onboarding7identity & UBO · signatory/mandates · address checks · cross-doc consistency · jurisdictional KYC · guided ask-backsin production
  • claims-processing6FNOL & routing · doc completeness · policy/limits check · damage extraction & estimate · threshold validation · fraud signalsin production
  • invoice-reconciliation4auto-create invoices · validate rates/taxes/compliance · reconcile payments & adjustments · real-time billing analyticsin production
  • your-stackdescribe it in the compiler abovecompile ↑

220+ agents · 20 categories · ready to plug into your legacy systems

Why FlowX

Why do FlowX.AI agents succeed in enterprises?

Banking-Grade Safety

Centralized governance: audit trails, policy-gated outputs, and hallucination controls measured in production. Built for regulators.

Easy to Deploy

Small teams deploy our agents. Go live while others are still planning.

  • env.provisionwk 1
  • systems.connectwk 2
  • configure.testwk 3+
  • go.livelive

Impeccable Data Privacy

Data stays inside your perimeter, agents run next to your systems under your policies.

  • on-prem / k8s
  • private vpc
  • eu sovereign cloud
  • ▪ zero data egress by default

Plugs Into Your Existing Data

Jack Henry, FIS, Finastra, Temenos, COBOL mainframe, transportation management systems — we connect to any type of system.

Process

Start. Prove ROI. Scale.

Four steps from kickoff to production — weeks, not quarters.

  1. 01

    We create your environment

    Validate the gap with your team. Lock in the agent or agent stack that fixes your biggest pain.

  2. 02

    We connect your systems

    We do the heavy lifting. Your legacy systems stay untouched. No disruption.

  3. 03

    We configure and you test

    We train the agent on your data under your rules and compliance. Safe AI.

  4. 04

    Go live and see the impact

    Launch. Measure impact. Show the board real numbers. Plan the next agent.

Proof

Success stories with FlowX.AI.

80%
of manual handoffs in lending flows automated — European commercial bank
40%
lower operational cost for lending flows — bank with 4M+ clients
65%
reduction in processing time for underwriting — global bank
62%
reduction in time-to-yes in an approval flow — large financial institution
$1.8M
projected annual savings — global insurer, after a stack of AI agents
8wks
fund management platform built and launched — asset manager
Voices

Global companies, including financial institutions, trust FlowX.AI.

“To us, FlowX.AI is a business asset, not an IT asset. We're shifting from technology that is a constraint, to an enabler.”

COO of Major Custodian Bank

“We now see FlowX.AI as the engine that powers user experiences across our entire digital portfolio.”

Deputy Director of CEE Bank Group

“I have delivered more functionality in production with FlowX.AI in three months than in the rest of my entire career with the bank of six years.”

Solution Architect of a European Bank

“Before FlowX.AI, just like everyone else, it would take us a year to launch a new product. Today, we are able to launch new products in 2-4 weeks. This would have been unthinkable a few years ago.”

Insurance Executive

“FlowX.AI delivers value, multiple times faster, through its ability to integrate its modern tech platform with existing stack, through plug-and-play functionality.”

CTO of European Insurer

“FlowX.AI is the future of software development. It is exactly what we need to transform the entire bank.”

SVP Technology Architecture & Strategy
FAQ

Frequently asked questions.

Q.01Do we have to change our core systems?

No. Agents plug into the systems you already run — core banking, mainframes, document stores — through governed connectors. Nothing is ripped out or rewritten.

Q.02How fast can we get agents into production?

Weeks, not quarters. A small joint team creates your environment, connects your systems, configures with you, and goes live — one fund management platform was built and launched in 8 weeks.

Q.03What level of effort will this require from our team?

A small joint team, not a transformation program. Your people define the value stream and acceptance criteria; FlowX stands up the environment and the agent stacks.

Q.04What's the real cost?

Priced against the value stream it accelerates. In production these deployments have cut lending operational costs by 40% and projected $1.8M in annual savings — sizing starts from your numbers, in a customized demo.

Q.05What does the timeline look like?

Create your environment → connect your systems → configure and test → go live. Elapsed: weeks — with impact measured from the first live case.

Platform

Need something we haven't built yet?

Every agent in the catalog was composed on the FlowX platform: Agent Builder, Observatory governance, and the ontology layer. If your value stream isn't on the shelf, your team can build it with the same banking-grade guardrails.

Explore the platform →
Next

Accelerate mission-criticalvalue streams with ourAI agents.