Agentic Index
Blits.ai vs Sierra (2026)
Sierra and Blits.ai differ most in who runs the agent and how it is paid for. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Sierra pairs its platform with an expert agent development team and prices by outcome, charging when an agent resolves an issue or completes a task. Its Ghostwriter builds an agent from uploaded procedures, transcripts, whiteboard photos or recordings, or from a goal written in plain English, and one agent then serves chat, SMS, WhatsApp, email, voice and ChatGPT in 59 languages, with built in testing and multivariate tests to tune conversations. Blits.ai sells annual plans for a platform the customer operates on a visual canvas, with an admin choosing the model behind each agent from more than 15 providers. Its agents can also appear as digital humans and take payments mid conversation, and the platform installs in a customer's own cloud or data center, including air gapped sites. A consumer brand that wants a vendor team building and tuning agents under outcome pricing suits Sierra. A regulated enterprise that wants to own and host the platform suits Blits.ai.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Blits.ai 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 1,006 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Blits.ai if
- Your own team should build and change agents on a visual canvas.
- Each agent's model should be your choice.
- The platform must be installed in your own data center or cloud account.
- A digital human should front the service.
- You prefer a fixed annual plan to paying per outcome.
Choose Sierra if
- You want to pay only when an agent resolves an issue or completes a task.
- A vendor team should design, build and keep improving the agents with you.
- Agents should be generated from uploaded procedures and call recordings.
- The same agent should answer inside ChatGPT as well as on your own channels.
- Conversation designs should be tuned with multivariate tests.
| Feature | B Blits.ai |
S Sierra |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Blits.aiIntegrations & Tool Calling Agents act in outside systems through three routes. A catalog covers 56 enterprise systems, among them Salesforce, SAP, ServiceNow, Workday, Zendesk, Oracle, Jira, Snowflake and Databricks, and business tools for HubSpot, Freshdesk, Zoho, Notion, Odoo, Dynamics 365 and Microsoft 365 connect through per system OAuth. Custom functions call REST or SQL sources, or run JavaScript in an isolated sandbox, with versioning and publishing. External MCP servers connect over SSE or HTTP, and their tools appear to the agent. Built in tools add web search, file generation, payment links, lead capture, handover, and call control on voice such as transfer, DTMF and callback scheduling. Sourceblits.ai/featuresread 2026-10-13 |
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SierraIntegrations & Tool Calling Agents reach the customer's systems of record to carry out end to end transactions, including card and ACH payments, returns, authentication and cancellation saves, and those system interactions are held deterministic and bound by policy. Agent Studio offers ready integrations and an integration framework for proprietary systems, and the Agent SDK builds the rest, so the range of connected systems depends on what each team sets up. Integrations also route a conversation to the customer's care team with its full context. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Blits.aiWorkflow Orchestration A BPMN style canvas lays out each conversation as flows of dialog, action, condition and AI blocks, with subflows, functions and agents referenced from any flow and versions published separately to Test and Live. The agent block hands a turn to an LLM agent, and the trigger workflow block starts an agentic workflow, an agent loop that calls tools on its own until the task is done. Workflows carry instructions, configuration, a validation check and an on or off switch. Agentic tasks hold a deferred action of the do X when Y kind, with scheduled rechecks, an expiry and a dry run mode, so a step can wait days for its condition before it runs. Sourceblits.ai/featuresread 2026-10-13 |
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SierraWorkflow Orchestration Agents are put together from skills such as triage, respond and confirm, combined into multistep workflows for a specific use case. In Agent Studio a team defines those journeys step by step or has AI generate them from its existing operating procedures, and Ghostwriter builds or changes an agent from a description of how it should behave. Flexibility is set per workflow, so a team can move between deterministic execution and open ended reasoning on the same agent. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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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. |
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Blits.aiTriggers & Channel Coverage Fourteen channels carry work to an agent, from the web chat widget, WhatsApp, SMS and phone to Microsoft Teams, Slack, Telegram, Facebook Messenger, email, Alexa and Google Assistant, an in app webview, a digital human and a REST or WebSocket API. Agentic workflows also start on a schedule, or when an outside system calls a per workflow token endpoint, which queues the run with the request body as its input and allows 30 runs a minute per workflow by default. Agentic tasks recheck a condition on a schedule before acting, outbound campaigns dial a contact list inside a set calling window, and an incoming email webhook turns mail into conversations. Sourceblits.ai/api-docsread 2026-10-13 |
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SierraTriggers & Channel Coverage An agent is built once and deployed across chat, phone, email, SMS and messaging, with the same skills and policies applying on each. A single agent working across every channel is the core idea of the platform. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Blits.aiKnowledge Grounding & RAG Retrieval runs over a maintained document library that ingests PDF, Word, PowerPoint, Excel, CSV, JSON, Markdown, images and Outlook messages, crawls websites and their subpages on a recrawl, and keeps version history with revert. Chunk size and overlap are configurable, storage sits on PostgreSQL pgvector or file based HNSW indexes, and search combines dense vectors with BM25 keyword matching and deduplication. Agents can also query registered PostgreSQL or SQLite databases directly. Answers cite the document, page and source date, newer content ranks ahead when sources overlap, and retention rules expire outdated material automatically. Sourceblits.ai/featuresread 2026-10-13 |
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SierraKnowledge Grounding & RAG Agents ground answers in the customer's own content through retrieval built into Agent OS, and the Agent Data Platform joins that knowledge with customer context from other systems. In Agent Studio a team connects its knowledge sources and views and edits help center content, FAQs and policies. Sierra spots common themes missing from the knowledge base and drafts new articles from how care representatives resolved edge cases, so the store grows without manual updates. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Blits.aiMemory & State Persistence A conversation keeps its state across turns and page refreshes, and a client can reconnect to an existing conversation, load or delete one user's history, and push state variables such as a customer name or account number into the session. Inside a flow, a get history block reads the transcript, and a user data provider turns verified balances, loyalty points and tiers into variables. Data removal and retention controls sit in the GDPR toolkit. Nothing the agent learns is written to a store of its own for later conversations, so what it knows about a returning customer is the history and the variables the host system supplies. Sourceblits.ai/api-docsread 2026-10-13 |
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SierraMemory & State Persistence Agents personalize each conversation from agent memory and the customer's profile, and the Agent Data Platform brings together what the agent knows about a specific customer across sessions, channels and systems, so context carries from one conversation to the next. How long that memory lasts, and whether a customer's record of it can be viewed or cleared, is not public. Sourcesierra.ai/product/insightsread 2026-09-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Blits.aiHuman Oversight & Guardrails Agentic actions above a configurable threshold pause for a person, who approves or rejects them before they run, and a tool execution policy limits which tools an autonomous agent may call at all. Agentic tasks offer a dry run mode, and an anomaly review queue flags unusual conversations for review and can push them into a test suite. For purchases, authorize then capture holds a payment for later capture, with amount ceilings and velocity limits. Staff can watch live conversations and take over, phone calls included, and blocked topics are enforced deterministically, independent of the model's judgment. Sourceblits.ai/featuresread 2026-10-13 |
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SierraHuman Oversight & Guardrails Sierra wraps its models in supervisory layers that check outputs against scope and policy before the agent responds, to reduce hallucination and prevent abuse. Access to systems of record is deterministic and controlled, and the customer's policies and security procedures are enforced outside the model. Flexibility settings on each workflow limit how far the agent may improvise. Sourcesierra.ai/product/trust-and-reliabilityread 2026-09-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Blits.aiSecurity, Identity & Governance Single sign on works with Microsoft Entra ID and Google accounts, with multi factor authentication on admin login, and role based access control offers more than 60 permissions, custom roles per tenant, roles per bot, and separate publish rights for Test and Production. Tenants are isolated down to every record and query, API keys are hashed and validated server side, and PII and card numbers are masked at the gateway before text reaches a model. Certifications cover ISO 27001:2022, ISO 42001 and SOC 2 Type II, and the trust center also shows GDPR compliance, with policies and controls available on request. Payments run on an isolated service built to PCI DSS v4.0.1 Level 1, with tokenization at the payment provider and encrypted credentials, while PCI DSS certification itself is still in progress. Sourceblits.ai/featuresread 2026-10-13 |
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SierraSecurity, Identity & Governance Sierra holds ISO/IEC 27001:2022 and ISO/IEC 42001:2023 certificates, a SOC 2 Type II report, a HIPAA attestation for 2026 and PCI DSS Level 1 service provider certification. Its trust center also covers the European and California privacy laws, the CSA STAR registry and FedRAMP High, with controls and policies shared on request. Personal information shared with an agent is encrypted and masked automatically, filters block topics and keywords a company puts off limits, and cardholder data runs on dedicated PCI infrastructure that never touches Sierra's core platform, models or storage. Customer data is never used to train models or shared with other customers. Who inside a customer's own organization can build, edit or publish an agent, through single sign on, roles or permissions, is not public. Sourcesierra.ai/product/trust-and-reliabilityread 2026-09-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Blits.aiObservability & Auditability Every agent turn can be inspected with token counts and trace detail, including each tool and SQL call with its origin, arguments and latency, and per agent statistics track token use and cost. Agentic workflow runs keep a full audit trail per run with downloadable run data, and the platform records user audit logs and tamper evident event logs. Conversation logs open in a permission gated transcript viewer, live conversations can be watched as they happen, and outbound campaigns log every call attempt. Sourceblits.ai/featuresread 2026-10-13 |
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SierraObservability & Auditability Every agent action can be traced to its reasoning, with the knowledge sources and systems it used, and developers inspect API calls and logic traces while Agent Studio shows a live trace of each decision, tool call and response during a build. Insights reports on CSAT, resolution and other metrics with custom reports, tags and categorizes conversations automatically, flags the ones that need a person's attention and sends alerts on abuse attempts or performance drops to a team's existing tools. Explorer answers questions about thousands of conversations with themes, data and links to the conversations behind each finding, and delivers a weekly briefing on its own. Sourcesierra.ai/product/insightsread 2026-09-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Blits.aiDeployment & Data Residency Three deployment routes are offered, a managed service, the customer's own AWS, Azure or Google Cloud account, and an on premises install in the customer's data center, including air gapped sites. The managed cloud has regional endpoints in the EU, the US, the UAE, Qatar and Australia, each with the same API, and data sent to a regional endpoint stays in that region. Deployment is Kubernetes native, a self contained Docker Compose stack covers local installs, Google models can be routed to EU or UAE regions through Vertex AI, and transcription can run on GPU servers that Blits.ai operates itself. Sourceblits.ai/deployment-optionsread 2026-10-13 |
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SierraDeployment & Data Residency Sierra hosts the platform as SaaS. Each subprocessor carries its own processing location on the trust center, and customers do not pick a region. There is no VPC, single tenant or on premises option. The FedRAMP High commitment points to separate government infrastructure, though no choice of residency regions is offered. Sourcesierra.ai/product/trust-and-reliabilityread 2026-09-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Blits.aiPrebuilt Agents, Templates & Packs Create with AI turns a written use case into a working bot with agents, flows, guardrails, knowledge suggestions and a go live checklist, and a solution portfolio in the admin console groups curated use cases by sector with their capabilities and channels. More than 45 rich card types cover flights, hotels, orders, loyalty points, card benefits, balances and charts, each with its own prompt instructions. Each agent is still assembled for the customer, and there is no gallery of prebuilt agents to switch on. The public AI Use Case Library of 282 use cases is research on deployments across the market, not a set of installable agents. Sourceblits.ai/featuresread 2026-10-13 |
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SierraPrebuilt Agents, Templates & Packs The Agent SDK ships with a range of AI skills and systems integrations to help customers go live faster, and skills such as triage, respond and confirm work as reusable building blocks. Customers assemble these pieces themselves. There are no named prebuilt agents, templates, library or marketplace. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Blits.aiModel Flexibility & Routing An admin chooses the model for each agent from more than 15 providers, including OpenAI, Azure OpenAI, Anthropic, Google Gemini and Gemma, Meta Llama, Mistral, Microsoft Phi, Qwen, DeepSeek, GPT OSS, Hugging Face, Humain, Fanar and OpenRouter, and can move an agent to another provider without rebuilding it. Any OpenAI compatible model connects with the customer's own key. Regional routing sends traffic to EU or UAE regions, reasoning effort is set per agent, and models above a plan's level stay visible but disabled. Embeddings come from OpenAI, Google, Nomic or OpenRouter, and intent recognition can run on Microsoft CLU, Dialogflow, Watson, Wit.ai or an LLM. Sourceblits.ai/featuresread 2026-10-13 |
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SierraModel Flexibility & Routing Agents draw on more than fifteen frontier, open weight and proprietary models chosen per job, and Sierra switches between LLM providers automatically to optimize performance and keep running during a provider outage. Model serving runs through subprocessors that include Anthropic, Google, AWS, Baseten, Fireworks AI, Together AI and Modal. Routing happens inside Sierra, and neither customers nor admins choose the model. Sourcesierra.ai/blog/constellation-of-modelsread 2026-09-05 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Blits.aiAPIs, SDKs & MCP Extensibility A REST API and a WebSocket API drive the platform from outside, authenticated with bot, agent or workflow JWTs sent as bearer tokens to platform.blits.ai or a regional host. Endpoints open a conversation, send text, speech or files, check whether it is active, erase a user's data and run intent analysis on a message, and the WebSocket adds streaming speech, history loading and state variables. Separate endpoints run an agent with streamed NDJSON output, start an agentic workflow and return metered interaction counts per tenant. Each hosted MCP server has its own URL and exposes an agent's tools to outside MCP clients over Streamable HTTP with an API key. Sourceblits.ai/api-docsread 2026-10-13 |
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SierraAPIs, SDKs & MCP Extensibility Developers build, customize and deploy agents with the Agent SDK, which comes with documentation, interactive training and a development pipeline. Agent OS adds ready made tooling for building, deploying and managing agents. There is no public API reference or MCP server for the platform itself, so developers work through the SDK. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Blits.aiTesting, Debugging & Optimization Test suites run automated conversations against agents, bots and workflows through the real chat pipeline, and multi turn sets play out as one continuous session with notes per turn for the grader. Grading uses deterministic rules or an LLM judge with a configurable prompt, a selectable model and knowledge base evidence, and run reports show the pass rate, per turn verdicts, grader reasoning and run history, with regrading. Test cases import from JSON. Monitors run scheduled health checks against rule based or LLM expectations and alert by email or webhook, and separate checks compare speech to text providers on word error rate and test MCP tool discovery. Sourceblits.ai/featuresread 2026-10-13 |
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SierraTesting, Debugging & Optimization Agent Studio simulates conversations and scores the agent against defined outcomes, and a team builds a regression test suite that runs before each new version of the agent is released. Voice agents are tested for transcription, background noise and speaker variation before going live, and the Agent SDK checks behavior across a wide range of scenarios in a development pipeline, so definitions are not edited live. After launch, Insights runs experiments on variations of agent behavior such as handoff rules or levels of determinism, and Explorer compares performance before and after a change Ghostwriter has made. Sourcesierra.ai/product/agent-studioread 2026-09-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Blits.aiBrowser & Computer Use A web browsing tool sits among the built in agent tools beside web search and Wikipedia, so an agent can open and read web pages while it works. UiPath is one of the 56 connectable systems, and the agentic product connects RPA tools, which lets an agent hand screen based work to a robot the customer already runs. There is no hosted browser or desktop session for the agent to drive itself. Real browser testing, which loads the live chat widget under simulated network and CPU conditions, is quality assurance on Blits.ai's own product. Sourceblits.ai/featuresread 2026-10-13 |
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SierraBrowser & Computer Use Agents act on the customer's systems through API integrations built with the SDK, kept deterministic and bound by policy, and deploy across chat, phone, email, SMS and messaging. Browser control, a virtual desktop and operation of software without a programmatic interface are not part of the platform. Sourcesierra.ai/product/agent-sdkread 2026-09-05 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Blits.ai |
S Sierra |
|---|---|---|
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Entry price Lowest public entry point |
No public price. All four plans are quoted on request and billed annually in advance. | Outcome based (per resolution) · contact sales |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
An annual plan sized by interactions, bots, seats, channels and AI engines, with extra interactions and AI engine costs billed beyond it. | Outcome based, charged per resolution or other outcome, such as a saved cancellation or a completed upsell. |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
Sierra charges by outcome with no public rate, and Blits.ai quotes its annual plans on request.
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