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Runtime
Runtime is the AI agent harness for payment and fintech teams. It is multi-cloud, multi-sandbox, and multi-model, so agents never depend on one vendor. From payment ops to risk, compliance, and support, anyone on your team can build and run AI agents that work like teammates. Each agent runs on its own computer in your cloud, is called from Slack, Teams, email, SMS, or voice, and works with role-based access, human approvals, and a full audit trail. Runtime is also an applied AI lab for payment
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T01:38:33.491Z. Cached copy · Source on runtm.com
# Runtime
> Runtime is the AI agent harness for payment and fintech teams. It is multi-cloud, multi-sandbox, and multi-model, so agents never depend on one vendor. From payment ops to risk, compliance, and support, anyone on your team can build and run AI agents that work like teammates. Each agent runs on its own computer in your cloud, is called from Slack, Teams, email, SMS, or voice, and works with role-based access, human approvals, and a full audit trail. Runtime is also an applied AI lab for payment and risk operations (https://runtm.com/lab), with forward-deployed AI engineers who build the first agents with each customer.
## What is Runtime?
Runtime puts your procedures into action with specialized agents for payment and risk ops. Give each agent a defined job, approved tools and data, and clear rules for actions, approvals, and escalations.
Agents are triggered from Slack, email, GitHub, tickets, or a schedule. They investigate, do the work, and report back, with sensitive actions held for a human sign-off. Every run is stored with its steps, tools, cost, and result, so the company gets one system of record for the work its agents do.
Teams can start with one workflow, such as payment investigations, partner-bank requests, merchant reviews, or reconciliation exceptions, and expand to other jobs on the same platform. Runtime covers four groups of work: getting customers live (underwriting, KYB/KYC, sales engineering, implementation), keeping money moving (payment ops, partner-bank requests, disputes, reconciliation), protecting the business (fraud, transaction monitoring, compliance), and supporting customers (payments support, escalations).
## How Runtime works
1. Create a specialized agent: define its job, procedures, and approval or escalation rules
2. Connect its tools and data: scope access to what the agent can read and do
3. Put it to work: trigger it from a request, alert, or schedule
4. Review and approve: inspect the evidence, activity, and outcome, and approve sensitive actions
## Bring your own tools and data
Anything with an API, a CLI, or an MCP server becomes a tool the agent can use. Warehouses, databases, and internal services connect as data sources, read-only where it matters. Permissions are set once by engineering and enforced on every run.
Common integrations include Zendesk, Intercom, Slack, Stripe, GitHub, Datadog, Sentry, PagerDuty, Snowflake, BigQuery, Postgres, HubSpot, Salesforce, Linear, and Notion.
## Works with the coding agents you already use
Runtime hosts the environments, templates, and policies, and runs the agent your team already prefers:
- Claude Code (Anthropic)
- Codex (OpenAI)
- Cursor CLI
- Gemini CLI
## A system of record for every agent run
- Every run is stored with the prompt, the steps, the tools used, the cost, and the result
- Agents read their previous runs and get better at the job over time
- One view of cost and activity across every agent, user, and team
## Security and
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| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
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