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Runtime vs Sierra

Runtime is one agent harness for every payment team, including support. Sierra builds conversational AI agents for customer experience.

Updated October 4, 20263 min read

TL;DR: Runtime is the stronger choice when you want agents across every team that touches a transaction, investigating payment issues end to end in your cloud. Sierra is a leading platform for branded, customer-facing AI agents.

Feature
RuntimeRuntime
SierraSierra
What it isAgent harness for every payment teamConversational AI agents for customer experience
Customer-facing conversations at scaleSupported channels for support teamsCore strength
Back-office investigationsCore use caseNot the focus
Teams coveredSupport, payment ops, finance, risk, complianceCustomer experience
Runs in your cloudYes, or fully self-hostedHosted platform
Bring your own modelsAny model, including local open modelsVendor-managed
PricingPriced against the headcount it replacesOutcome-based

Two different jobs

Runtime is the AI agent harness for payment 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.

Sierra builds conversational AI agents for customer experience. Large consumer brands use its agents to talk to customers across chat and voice, take actions in their systems, and resolve requests, with outcome-based pricing.

The right one depends on the work you're trying to hand off.

Why payment teams choose Runtime

Built for money movement

Payment work is mostly exceptions: a held payout, an ACH return with an odd code, a dispute where the evidence contradicts the claim. Runtime agents reason through those cases on their own computers, across your ledger, processor, bank files, and tickets, and stop for a person before anything moves money.

Your data stays yours

Agent computers run in your AWS, GCP, or Azure account, or you self-host the whole platform. Card numbers, SSNs, and secrets are masked before any prompt or log, and you can serve open-weight models locally for PCI and PII work.

One harness for every team

Support, payment ops, finance, risk, and compliance all build on the same harness, so one stuck payment is one investigation, not four. Every run is stored with its evidence, approvals, and cost, ready when an auditor or sponsor bank asks.

An engineer, not an account executive

A forward-deployed AI engineer who has built payment infrastructure maps your processes, builds the first agents with your team, and sets up guardrails.

When Sierra makes sense

  • You need a branded, customer-facing AI agent at consumer scale
  • Customer conversations are the main workload
  • Outcome-based pricing for resolutions fits your budget
  • Back-office investigations aren't in scope

When Runtime makes sense

  • You run payments, banking, or lending operations and the queue keeps growing
  • The work needs judgment on exceptions, not just a fixed sequence of steps
  • Card data or PII has to stay in your environment
  • You need approvals on money movement and an audit trail your sponsor bank will accept
  • You want one platform for every team that touches a transaction

See Runtime on your busiest queue

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