Agentic Index
Lorikeet vs Sierra (2026)
Both resolve complex conversations autonomously and one is deliberately narrower, at 11 and 11.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Sierra is the enterprise platform, outcome priced through sales, general across industries. Lorikeet is purpose built for regulated fintech and health technology, with multi step actions across chat, email, voice and SMS, 100 percent quality assurance and audit, at roughly 0.80 per resolution. Sierra will serve any large enterprise; Lorikeet will serve a regulated one without you having to build the compliance layer yourself.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Lorikeet and Sierra are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Lorikeet if
- Regulated fintech or health technology is your industry and the specialization is the point.
- A published per resolution rate lets you build the business case immediately.
- 100 percent quality assurance is a requirement your regulator effectively imposes.
Choose Sierra if
- Documented coverage is slightly broader and your industry is not regulated in that way.
- Enterprise scale across many use cases beyond support is where you are heading.
- You want the largest reference base in the category behind the decision.
| At a glance | Lorikeet | Sierra |
|---|---|---|
| Category | Customer support agent | Customer support agent |
| Entry price | ~$0.80/resolution (Scale: 48k/$48k yr) | Outcome-based (per resolution) · contact sales |
| Free / trial | — | — |
| Pricing confidence | public partial | contact only |
| Feature | L Lorikeet |
S Sierra |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Partial |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | L Lorikeet |
S Sierra |
|---|---|---|
|
Entry price Lowest public entry point |
~$0.80/resolution (Scale: 48k/$48k yr) | Outcome-based (per resolution) · contact sales |
|
Pricing confidence How public the numbers are |
Public, partial | Contact only |
|
Billing Primary billing axis |
resolutions | outcome-based (per resolution/outcome) |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Sales call |
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