WELCOME TO THE AGENTIC ERA

Fintech ops is going agentic. Fast.

Fintech ops is going agentic. Fast.

Fintech ops is going agentic. Fast.

Everyone is racing to put AI agents in ops. In regulated industries, the real win is doing it without losing the controls you can't compromise on.

WHY NOW

The agentic shift is already in motion. The movers are pulling ahead.

The agentic shift is already in motion. The movers are pulling ahead.

Agentic ops is the operating model where AI agents run business workflows end-to-end, with humans in the loop for exceptions, under record-level audit and scoped permissions. Forest is the first infrastructure built specifically for it in regulated fintech. 92% of EU banks now deploy AI, and 55% already use GPAI or agentic AI in consumer-facing processes (EBA, September 2025). At the fastest-moving fintechs, KYC that took over six weeks at large European banks now runs in minutes (Coalition Greenwich, 2025). Dispute handling that needed five reviewers runs with one. Transaction monitoring that came out weekly runs continuously. Their compliance hasn't softened. They've put their ops on infrastructure that lets them move without compromising it.

KYC

took days, now takes minutes

Dispute handling

needed five reviewers, now runs with one

Transaction monitoring

weekly report, now continuous

THREE THINGS THAT USED TO BLOCK AGENTIC OPS

The tech is ready. The economics work. The context problem has an answer.

The tech is ready. The economics work. The context problem has an answer.

01

Switch AI agent vendors without rebuilding

Switching AI agent vendors used to mean rebuilding workflows, context, and audit history. With Forest, you bring any MCP-compatible runtime and swap without losing what your team has put in place.

02

Measurable ROI from day one

Pick one workflow. Measure the return. Expand at your own pace. Forest fits incremental adoption, so your team sees the economics before scaling out.

03

Operational context, logged and observable

Every workflow run, every exception, every override gets recorded at the record level. Your ops and compliance teams see the same picture: what your AI agents and your people did, when, and why.

03

Operational context, logged and observable

Every workflow run, every exception, every override gets recorded at the record level. Your ops and compliance teams see the same picture: what your AI agents and your people did, when, and why.

AGENTIC OPS IN REGULATED INDUSTRIES

The regulated companies winning today run their ops on a backbone where AI agents are governed by design.

The regulated companies winning today run their ops on a backbone where AI agents are governed by design.

What “governed by design” actually means when a European fintech runs agentic ops.

Requirement
What it means in agentic ops
Where Forest delivers it
Data residency
What it means in agentic opsCustomer data never leaves your environment
Where Forest delivers itForest backend runs inside your infrastructure
Record-level audit
What it means in agentic opsEvery AI agent action and every human override logged in the same record
Where Forest delivers itContinuous audit trail across humans and AI agents
Scoped permissions
What it means in agentic opsEach AI agent gets access to one job and no more
Where Forest delivers itSame RBAC model as your team, at the action, workflow, and record level
Human escalation
What it means in agentic opsExceptions and policy-limit decisions routed to your team with context
Where Forest delivers itEscalation thresholds by confidence, action type, risk score
Vendor neutrality
What it means in agentic opsSwap AI agent runtimes without rebuilding workflows or audit history
Where Forest delivers itAny MCP-compatible runtime works

The two questions you should ask

The two questions you should ask

The two questions you should ask

Q1

What is agentic ops?

Agentic ops is the operating model where AI agents run business workflows end-to-end, with humans in the loop for exceptions, under record-level audit and scoped permissions. It goes beyond automation, which follows fixed rules and breaks on exceptions. In regulated fintech, agentic ops requires data that stays in your environment and an audit trail across humans and AI agents in the same record. Forest is the first infrastructure built specifically for it.

Q2

How is agentic ops different from AI automation?

Automation follows fixed rules and breaks on exceptions. Agentic ops uses AI agents that reason about the goal, handle exceptions as they arise, and escalate to humans when judgment is required. Every action is logged at the record level. Permissions are scoped before any AI agent touches anything. Most AI agent frameworks assume you can ship data to an external API and audit is optional. Forest assumes the opposite.

Let us get you started

Go deeper on agentic ops adoption in fintech.

Go deeper on agentic ops adoption in fintech.

Ready to enter the agentic era?

Talk to the team. We'll show you what agentic ops looks like for your specific workflows and your specific compliance constraints.

Ready to enter the agentic era?

Talk to the team. We'll show you what agentic ops looks like for your specific workflows and your specific compliance constraints.

Ready to enter the agentic era?

Talk to the team. We'll show you what agentic ops looks like for your specific workflows and your specific compliance constraints.

Frequently asked questions

You still have question ?
Book a conversation with a forest expert

What is agentic ops?

Agentic ops is the operating model where AI agents run business workflows end-to-end, with humans in the loop for exceptions, under record-level audit and scoped permissions. It goes beyond automation, which follows fixed rules and breaks on exceptions. Forest is the first infrastructure built specifically for agentic ops in regulated fintech.

How is agentic ops different from AI automation?

Automation follows fixed rules and breaks on exceptions. Agentic ops uses AI agents that reason about the goal, handle exceptions, and escalate to humans when judgment is required. Every action is logged at the record level.

Which fintech workflows are running on agentic ops today?

KYC and KYB review, transaction monitoring, dispute handling, onboarding exceptions, and SAR drafting. These are the workflows where headcount was highest and rules engines never worked well.

Does agentic ops meet DORA and EU AI Act requirements?

When the underlying infrastructure logs every AI agent action at the record level, scopes permissions per workflow, and keeps data inside the customer's environment. Forest is built to meet these obligations. DORA has been in force since 17 January 2025. EU AI Act high-risk obligations currently apply from 2 August 2026, with a proposed delay to 2 December 2027 under EU discussion.

Which industries is agentic ops built for?

Fintech, insurance, lending, payments, compliance services. Industries where every AI agent action needs to be explainable, auditable, and reversible, and where AI adoption is a compliance decision, not just a product one.

What is Forest?

Forest is regulated-fintech operational infrastructure. Your team and your AI agents run workflows on Forest, with live data access, scoped permissions, full audit, and human escalation. Forest is the first infrastructure built specifically for agentic ops in regulated fintech.

What is the Forest MCP Server?

The Forest MCP Server is the interface that lets any MCP-compatible AI agent read and write to your data and tools through Forest, under the same scoped permissions and audit coverage that govern your team. It works with Claude, GPT, open-source models, and custom AI agents.

How does agentic ops handle data residency?

The Forest backend runs inside your infrastructure, alongside your databases. Customer data travels to a provider only at the point where its service is called, and the response is logged back to the case. Data stays in your systems of record.

Can I keep my existing RPA when moving to agentic ops?

Yes. Legacy automation runs the predictable steps well. Agentic ops adds intelligence for exceptions and judgment calls. On Forest, your existing RPA continues to run and AI agents pick up where the rules engine hits its limits.

How do I get started with agentic ops on Forest?

Start with one workflow where the use case is clear and the risk is contained. Let your AI agents assist before they act. Expand their scope as your team gains confidence, calibrates escalation thresholds, and accumulates audit history. With Forest, you control the pace and regulation sets the ceiling.

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