Agentic Index
Wisdom AI vs Zenlytic (2026)
WisdomAI and Zenlytic both answer business questions through a governed context layer and run analytics agents on schedules, and neither publishes prices. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
WisdomAI builds agents on a visual canvas that run on schedules and thresholds, and deploys as SaaS, in the customer's cloud or on premises; buyers start from a demo request. Zenlytic's agent, Zoë, builds and extends a semantic layer and answers with verifiable SQL in its own app, Slack, Teams, Claude or ChatGPT; it charges per seat plus query usage and platform fees, quoted by sales, with a free trial on your own warehouse. The grids are level on every axis but testing, where WisdomAI is Full and Zenlytic Partial. Choose WisdomAI for agents built on a visual canvas with a documented testing layer; choose Zenlytic for a trial on your own data and answers in the tools your team uses.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Wisdom AI and Zenlytic 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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Wisdom AI if
- Analytics agents should be built on a visual canvas and run on thresholds as well as schedules.
- Testing agents before release must be documented in full.
- You may need it in your own cloud or on premises.
Choose Zenlytic if
- You want to trial it on your own warehouse before a quote.
- Answers should arrive in Slack, Teams, Claude or ChatGPT.
- An agent should extend the semantic layer as questions arrive.
| Feature | W Wisdom AI |
Z Zenlytic |
|---|---|---|
| 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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Wisdom AIIntegrations & Tool Calling Chat agents call the tools of OAuth secured MCP servers that an administrator adds, acting on behalf of the signed in user. Agent workflows include an MCP node that performs actions across connected systems and an export node that writes CSV files to S3 or Azure Blob Storage, and results go to Slack and email. Creating tickets and triggering APIs are among the named actions. Sourcedocs.wisdom.ai/settings/connected-apps.mdread 2026-09-28 |
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ZenlyticIntegrations & Tool Calling Zoë queries Snowflake, BigQuery, Redshift, Databricks, Athena, Azure Synapse, Trino, Postgres, MySQL, SQL Server, MotherDuck and Druid, and as an MCP client uses the tools of remote servers admins register with their own auth headers, including any server the customer brings, for example to create Jira issues or edit diagrams. Sourcedocs.zenlytic.com/mcp/clientread 2026-09-28 |
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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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Wisdom AIWorkflow Orchestration Agents are built on a Visual Mode canvas of trigger, data, web search, MCP, analysis, summary, artifact, delivery and export nodes. An If/Else node routes execution down one of several branches, and each agent moves through a draft, test, publish and activate lifecycle. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
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ZenlyticWorkflow Orchestration Proactive Agents are built in a builder where the team defines Zoë tasks that run as conversations, tests a run and publishes it for others to reuse. A delivery condition lets the agent review its outputs and decide whether to send them. Branching inside a run is not described. Sourcedocs.zenlytic.com/proactive-agents/getting-startedread 2026-09-28 |
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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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Wisdom AITriggers & Channel Coverage Agents start on a recurring schedule, with optional trigger criteria, or when a monitored metric crosses a threshold, and deliver to email and Slack. People also ask questions in chat, in embedded analytics and through MCP clients such as Claude and ChatGPT. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/agents.mdread 2026-09-28 |
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ZenlyticTriggers & Channel Coverage Proactive Agents run on a schedule and deliver their results by email or Slack with no one asking, and Zoë also works inside Claude, ChatGPT, Microsoft Teams and Slack or Zenlytic's own app. Sourcedocs.zenlytic.com/proactive-agents/schedule-deliveryread 2026-09-28 |
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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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Wisdom AIKnowledge Grounding & RAG Answers are grounded in a governed context layer for each domain, holding metrics, business knowledge, synonyms, relationships, derived columns, parameterized tables and reviewed queries. The layer is edited through drafts that are published and reindexed, and context libraries and file uploads add domain knowledge. Sourcedocs.wisdom.ai/integrations/mcp-server/manage-context.mdread 2026-09-28 |
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ZenlyticKnowledge Grounding & RAG Zoë answers from a governed semantic layer of views, fields and relationships that she builds from existing LookML, DAX, dbt or Looker context and keeps extending as people ask, with verified fields reusable across chats, artifacts and proactive agents and Skills holding wider context such as fiscal calendars. Sourcedocs.zenlytic.com/migrations/migrating-from-memories-and-topicsread 2026-09-28 |
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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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Wisdom AIMemory & State Persistence Agents keep context between steps within a workflow. Runs that owners mark as reviewed are kept as examples that guide later runs, a store that people curate. The agent has no memory of its own that it writes and reads across sessions with a set scope and lifetime, and no memory of user preferences. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/reviewed-runs-in-agents.mdread 2026-09-28 |
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ZenlyticMemory & State Persistence Memories are now a legacy feature, replaced by Skills, which are instructions people write in the Context Manager, and conversations can be continued. There is no memory store the agent writes and reads across sessions with a stated scope and lifetime. Sourcedocs.zenlytic.com/migrations/migrating-from-memories-and-topicsread 2026-09-28 |
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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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Wisdom AIHuman Oversight & Guardrails Row and column level security and roles limit what agents can read, and users authorize each connected app before agents use its tools. Context changes go through drafts that are then published, and owners mark completed agent runs as reviewed. WisdomAI markets Human-in-the-Loop nodes that put critical actions behind approvals, though no approval node appears in the node reference. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
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ZenlyticHuman Oversight & Guardrails People promote the dynamic fields Zoë creates to verified fields in the governed model, answers mark which fields are human approved, agent level permissions and access grants limit what Zoë can reach, and a Develop without Deploy role cannot push semantic layer changes to production. There is no step where a person approves an answer, a delivery or a tool action before it takes effect. Sourcedocs.zenlytic.com/administration/user_rolesread 2026-09-28 |
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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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Wisdom AISecurity, Identity & Governance A SOC 2 Type 2 report is available on request from the trust center, and WisdomAI states HIPAA and GDPR compliance. Access controls include RBAC for users, role mapping from SSO groups, email access control and row and column level security enforced at query time. Sourcetrust.wisdom.airead 2026-09-28 |
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ZenlyticSecurity, Identity & Governance Zenlytic states it is SOC 2 Type II certified and HIPAA and GDPR compliant. Okta and Microsoft Entra SSO are supported with an SSO only login option, along with IP allowlisting, workspace groups and permissions, access grants and a role ladder from Organization Admin to Restricted. Sourcedocs.zenlytic.com/administration/user_rolesread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Wisdom AIObservability & Auditability Each agent run in Previous Runs keeps the steps taken, the generated SQL and the output. The Auditing view shows every chat's full transcript, user and domain, with links to the underlying data. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/reviewed-runs-in-agents.mdread 2026-09-28 |
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ZenlyticObservability & Auditability Run History keeps each proactive agent run's full conversation for inspection and troubleshooting, admins review all chats and feedback in one place, and each answer decompiles the SQL Zoë ran and marks which fields are human approved. A separate audit log is not described. Sourcedocs.zenlytic.com/proactive-agents/run-historyread 2026-09-28 |
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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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Wisdom AIDeployment & Data Residency WisdomAI runs in three ways, as SaaS hosted by WisdomAI, as Cloud-Prem, a managed service inside the customer's own AWS, GCP or Azure account, and as Customer On-Prem on infrastructure the customer owns. Specific SaaS regions are not listed. Sourcedocs.wisdom.ai/deployment/deployment-models.mdread 2026-09-28 |
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ZenlyticDeployment & Data Residency The API has separate US and EU hosts (api-external.zenlytic.com and euapi-external.zenlytic.com), which suggests a choice of US or EU environment, and the homepage lists the lack of an in-VPC option as a gap in general assistants, implying Zenlytic offers one. Hosting is on AWS, and how a customer selects a region or a VPC deployment is not described. Sourcedocs.zenlytic.com/developers/api-reference/servers-and-authenticationread 2026-09-28 |
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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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Wisdom AIPrebuilt Agents, Templates & Packs Customers build their own agents in Prompt or Visual Mode and can parameterize and reuse them, with best practices and example workflows to follow. There is no catalog of packaged agents or templates. Conversational BI, dashboards, Live Apps and agents are modules of the product itself, not assets to adopt. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/agents.mdread 2026-09-28 |
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ZenlyticPrebuilt Agents, Templates & Packs Teams publish their own Proactive Agents and Skills for others in the organization to reuse, and the Artifact Gallery shows example artifacts Zoë built, but no packaged agents or templates a customer adopts are offered. Sourcezenlytic.com/artifact-galleryread 2026-09-28 |
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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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Wisdom AIModel Flexibility & Routing Cloud-Prem and Customer On-Prem deployments support bring your own LLM, using on premises or private cloud model endpoints or the customer's own API key, with no hard dependency on one provider. Hosted SaaS runs on OpenAI and Anthropic under zero data retention terms, so model choice is limited to the private deployment options. Sourcedocs.wisdom.ai/deployment/deployment-models.mdread 2026-09-28 |
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ZenlyticModel Flexibility & Routing Users pick the model from a dropdown in the chat, among Anthropic's Claude Sonnet 5 (the default) and Claude Sonnet 4.6 and OpenAI's GPT-5.6 Luna and GPT 5.1; no bring your own key is described. Sourcedocs.zenlytic.com/using-zenlytic/ai-model-selection-guideread 2026-09-28 |
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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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Wisdom AIAPIs, SDKs & MCP Extensibility Developers get a GraphQL API with API keys, a React SDK for embedding and a WisdomAI MCP server. Its tools ask questions, give feedback, and list, upsert and delete domain context through drafts that are then published. Sourcedocs.wisdom.ai/integrations/graphql-api/graphql-api.mdread 2026-09-28 |
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ZenlyticAPIs, SDKs & MCP Extensibility A REST API (v2, US and EU hosts, personal access tokens as bearer tokens) lists, creates and archives workspaces and manages members, groups, invites and attribute definitions. An MCP server at mcp.zenlytic.com, reached with OAuth or a token, exposes one read only ask_zoe tool that runs a Zoë conversation. Sourcedocs.zenlytic.com/developers/api-reference/servers-and-authenticationread 2026-09-28 |
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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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Wisdom AITesting, Debugging & Optimization Evaluation Sets hold prompts with expected SQL outputs, and Evaluation Runs execute them so a team can compare the AI's answers with the expected ones and find where to improve. Answer validation and a negative feedback monitor sit alongside. Sourcedocs.wisdom.ai/improve-wisdom-ai-responses/use-evaluations-sets-and-runs.mdread 2026-09-28 |
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ZenlyticTesting, Debugging & Optimization A proactive agent can be test run before it is published, admins review chats and user feedback to judge response quality, and an admin view shows questions answered on governed fields. There is no test set, scored cases or quality gate. Sourcedocs.zenlytic.com/interactive-demos/workspace-administration-for-admins/review-chats-and-feedbackread 2026-09-28 |
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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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Wisdom AIBrowser & Computer Use Agents work through data connections, MCP tools and a web search node that brings search results in as context. Browser, desktop and computer control are not described. Sourcedocs.wisdom.ai/setting-up-wisdom-ai/agents/nodes-reference.mdread 2026-09-28 |
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ZenlyticBrowser & Computer Use Zoë works through warehouse connections, the semantic layer and MCP tools, with no browser, desktop or computer control. Sourcedocs.zenlytic.comread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | W Wisdom AI |
Z Zenlytic |
|---|---|---|
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Entry price Lowest public entry point |
No price is published. Pricing comes through a demo request. | Contact sales for a quote. A free trial is available. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
— | Per seat, plus query based usage and platform fees. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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