Runtime vs Devin: AI Agents for Fintech Ops vs Coding

Feature	Runtime	Devin
What it is	Agent harness for payment and risk ops	Autonomous AI software engineer
Users	Ops, risk, compliance, support, plus engineering	Engineering teams
Large code migrations	Possible with coding agents	Core strength
Operations workflows	Core use case	Not the focus
Choice of agent and model	Claude Code, Codex, OpenCode, any model	Devin
Runs in your cloud	Yes, or fully self-hosted	Enterprise deployment options
Approvals on money movement	Built in	Not applicable
Forward-deployed engineers	Payments domain experts	Cognition engineers

Devin is the better fit for engineering leaders running large software programs like code modernization and migrations. Runtime is the better fit for payment ops, risk, compliance, finance, and support teams that need agents working their queues, with approvals before money moves and an audit trail. Runtime is the AI agent harness for payment and fintech teams, and it can run coding agents like Claude Code and Codex alongside ops agents in your cloud.

Devin and Runtime at a glance

Devin is an autonomous AI software engineer from Cognition. Enterprises use it for large engineering programs like modernizing legacy code and migrating applications, often with Cognition's own engineers working alongside. Cognition crossed $1B in run-rate revenue in 2026.

Runtime is the AI agent harness for payment and fintech teams. From payment ops to risk, compliance, and support, anyone on the team can build agents that work their queues on their own computers inside your cloud, called from Slack, Teams, email, SMS, or voice, with approvals and a full audit trail.

Devin is for engineering leaders with big code programs. Runtime is for fintech operators who want agents across ops, risk, and finance, with engineering in control.

How they differ

Payments depth, not general software

Devin's domain is code. Runtime's domain is money movement: processor reason codes, ACH return codes, bank files, network rules, reserves, and settlement. Agents are built from your ops team's SOPs and work exceptions across your ledger, processor, and tickets.

Your cloud, your sandbox, your models

Runtime runs agent computers in your AWS, GCP, or Azure account, or fully self-hosted. You can bring your own sandbox provider and your own models, including open-weight models served in your cloud for PCI and PII work, so card data never leaves your environment.

Harness and model routing

Devin is one agent. Runtime routes work across harnesses like Claude Code, Codex, and OpenCode and across models, with fallbacks when a provider goes down. You pick the best model per task and aren't tied to one vendor's roadmap.

Approvals and an audit trail for money movement

Ops agents need guardrails coding agents don't. Runtime agents start read-only, ask for approval before releasing a payout or booking a ledger entry, and record every query, tool call, approval, and cost. A forward-deployed engineer with a payments background sets those guardrails up with your team.

Where Runtime enters the picture

Runtime is the AI agent harness for payment and fintech teams. Devin leaves the operations side of a payment company untouched: the held payouts, ACH returns, disputes, and reconciliation breaks that pile up in ops queues. Teams that want agents there usually consider building the platform themselves, and the first agent is easy. Making it safe on payment data takes isolated computers, scoped credentials, RBAC, approvals, an audit trail, evals, and model routing with fallbacks, which can cost an engineering team two quarters.

Take a reconciliation break between the processor settlement file and the ledger. On Runtime a finance agent matches the files, traces each unmatched item to a refund, fee, or return, and drafts adjusting entries for a controller to approve. When the pattern is solved, the agent writes it as a deterministic script in your repos, so your engineers own it, and coding agents can maintain it on the same harness.

No single vendor to depend on. Agent computers run in your AWS, GCP, or Azure account or fully self-hosted, on your own sandbox provider with fallbacks. Work routes across Claude, GPT, Gemini, and open-weight models, and across Claude Code, Codex, and OpenCode, so one provider's outage or price change doesn't stop your agents.
Guardrails you set. Read-only by default, approvals before money moves, RBAC, masked credentials, card numbers and SSNs stripped from prompts and logs, and every run recorded end to end.
Built for teams. Support, payment ops, finance, risk, and compliance share agents, templates, and one memory, not one agent per engineer.
An engineer, not an account executive. A forward-deployed AI engineer who built payment systems at Hulu's payments team at Disney, Finix, Modern Treasury, or BlackRock maps your processes and builds the first agents with your team.

New agent

Create a banking ops agent that handles RFIs, hold-harmless requests, and returns of funds from our partner bank, verifies against our ledger, and drafts replies for my approval.

Describe the agent you want

Agent ready

bank-ops-agent

Tools picked from your prompt

EmailLedgerSFTPMastercard

Anyone on the team describes the work in plain English and attaches the SOP. Runtime builds the agent and gives it its own computer.

Where Devin is stronger

Large code migrations and modernization. Its core strength.
Autonomous software engineering. One of the most capable coding agents available.
Vendor engineers alongside. Cognition engineers often work with enterprise customers on big programs.
Scale. Cognition crossed $1B in run-rate revenue in 2026.

Which should you choose

Choose Devin if

The work is software engineering, especially modernization and migrations
You want an autonomous engineer with vendor engineers alongside
Your budget is the IT services line
Users are engineering teams

Choose Runtime if

Your users are payment ops, risk, compliance, finance, and support teams
Card data or PII has to stay in your cloud with models you choose
You want to route across Claude Code, Codex, OpenCode, and any model
You need approvals on money movement and an audit trail your sponsor bank will accept

See Runtime on your busiest queue

Bring one SOP. A forward-deployed AI engineer builds the first agent with your team, inside your cloud.

Book a demo

Frequently asked questions

Is Devin good for fintech companies?

Devin is a strong choice for fintech engineering work like modernizing legacy code and migrating applications. It isn't built for operations teams. Runtime is built for payment ops, risk, compliance, finance, and support, and can run coding agents for engineering too.

Can Runtime run coding agents like Devin?

Runtime runs Claude Code, Codex, and OpenCode with routing and fallbacks across models. Teams use them for engineering tasks alongside ops agents. For very large migration programs, Devin with Cognition's engineers is a specialized option.

What is the best Devin alternative for payment operations?

Devin is for software engineering. For payment operations work such as held payouts, returns, disputes, and recon breaks, Runtime gives ops teams agents that investigate across your ledger and processor, with approvals before money moves.

Can Runtime run in my own cloud?

Yes. Runtime agent computers run in your AWS, GCP, or Azure account, or fully self-hosted via Helm, with your own sandbox provider and models if you prefer.

Where does Runtime fit next to Devin?

Devin is an autonomous software engineer for code work. Runtime is the harness where payment and fintech operations teams build and run agents on their queues, in your own cloud, with approvals and a full audit trail. Engineering can keep Devin for migrations while ops, risk, and finance run on Runtime.