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BotIntelli vs Onpilot

BotIntelli and Onpilot each sell AI agents to businesses with human approval steps and audit logs, but they price and package them very differently. BotIntelli is a paid-only platform with fixed monthly tiers ($29, $199, $599) that bundle RAG chatbots, workflows and data pipelines. Onpilot starts free with $50 of credits, then charges for usage from $25 a month, and puts its agents inside Slack and Microsoft Teams. Most searches here were for BotIntelli by name.

What a month costs

BotIntelli's Starter plan is $29 a month for 3 bots, 1,000 messages, 5 workflows and 200 workflow runs. Professional is $199 (10 bots, 5,000 messages, 15 workflows, 1,000 runs) and the top tier, also called Enterprise, is $599 (25 bots, 20,000 messages, 50 workflows, 5,000 runs). There's no free plan, so you pay before you try anything.

Onpilot works on credits. Every workspace gets $50 of credits with no card, the Team plan starts at $25 a month, and you pick a monthly credit volume as you grow. It doesn't charge per seat, and its pricing page says model usage is billed at the provider's cost. Enterprise is a custom quote.

Where the agents live

BotIntelli is a web platform built around your documents and data: enterprise search over files, databases and APIs, policy checks and risk scoring, and workflows that route exceptions to a person. Its site shows ISO 27001, SOC 2 Type II, GDPR and CCPA badges, but doesn't publish the reports behind them, so ask for them if compliance is why you're buying. The homepage doesn't describe self-hosting.

Onpilot connects to ERP, CRM, support tools and custom or OpenAPI-described APIs, and lists Salesforce, HubSpot, Jira, Zendesk, Snowflake and more. Agents answer in Slack and Teams today, with WhatsApp on request and other chat apps listed as coming. It offers multi-tenant, VPC and on-premise deployment and SSO with SCIM. Older descriptions of Onpilot as waitlist-only are out of date: there's a self-serve sign-up now, plus a demo option.

BotIntelli: Pick BotIntelli if you want a fixed monthly price for document chatbots plus workflow and data-pipeline quotas, and don't need a free trial first.

Onpilot: Pick Onpilot if your team works in Slack or Teams and you want to start free, pay for usage, or eventually run the agents in your own VPC or on-premise.

Facts checked Oct 18, 2026 against 4 sources

Which one should you try?

BotIntelli

Paid

Best for Enterprise teams needing no-code AI automation

Visit BotIntelli See full review

Onpilot

Paid

Best for Enterprise operations and manufacturing teams

Visit Onpilot See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

BotIntelli

BotIntelli

The platform combines RAG pipelines, multi-LLM routing, and a no-code workflow builder so enterprise teams can move from data ingestion to deployed agent without writing infrastructure code. The vendor describes a 'Glass Box' audit framework that surfaces decision provenance across every step — which matters when a regulated industry asks you to explain the output. SOC 2 certification and AES-256 encryption are built in, not bolted on after the fact. The ceiling appears when branching logic grows complex: community signals suggest the visual builder handles linear and moderately conditional flows well, but teams running deeply nested decision trees start adding custom logic that the no-code layer can't express cleanly. There is no self-hosted option, so teams with data-residency requirements that go beyond GDPR and CCPA contractual coverage will hit a hard wall.

Onpilot

Onpilot

The platform connects agents to ERP, CRM, support tools, and custom APIs, then layers in approval steps, permission scopes, and audit logs so the agent cannot act unilaterally on sensitive operations. Agents can search, reason, take action, and hand off to a human — the approval step pauses execution and sends an interactive Slack message before anything ships. Multi-tenant architecture means a single deployment can serve isolated customer or plant workspaces with per-tenant access control. Where it breaks: Onpilot is a custom-built, consultative engagement, not a self-serve platform you configure over a weekend — teams without clear workflow documentation will stall during scoping.

AttributeBotIntelliOnpilot
PricingPaidPaid
Price$29/moFree start with $50 credits; Team from $25/mo; Enterprise custom
Pricing checkedJul 1, 2026Oct 19, 2026
Free trialNot statedNot stated
Open sourceNoNo
Has APINoYes
Self-hosted optionNoYes
PlatformsWeb—
Pros
  • Multi-LLM routing across 20+ models including GPT-4, Claude, Gemini, and Llama, so switching providers when costs spike or a model underperforms is a configuration change rather than a re-architecture.
  • The 'Glass Box' audit trail logs every automated decision with traceable provenance, which means compliance and legal teams can review exactly why an agent took an action — instead of asking the engineering team to reconstruct it after the fact.
  • SOC 2-ready infrastructure with AES-256 and TLS 1.3 encryption built into the platform, so security review doesn't become the six-week blocker it is with tools that treat compliance as an add-on tier.
  • No-code workflow builder with 10+ pre-built connectors, so operations and business analyst teams can build and modify agent workflows without waiting on engineering sprints.
  • RAG agents carry persistent business context across sessions, which means the chatbot answering customer inquiries is grounded in your actual data history rather than hallucinating answers the model was never trained on.
  • Approval gates pause agent execution and collect explicit sign-off via Slack before sensitive actions dispatch, so your operations team stays in control of decisions that cost money or trigger downtime — without building that logic themselves.
  • Per-tenant workspace isolation with SSO and SCIM support means a single Onpilot deployment can serve multiple plants or customers with no data bleed between tenants, which removes the need to stand up separate infrastructure per client.
  • Agents connect to custom APIs and OpenAPI-described tools alongside named integrations, so a workflow that spans SAP, a bespoke MES, and a third-party quality system does not require the vendor to have a pre-built connector for each one.
  • White-label embedding lets SaaS or internal dashboard teams surface agents under their own product interface, so end users never interact with a third-party tool and the agent feels native to the existing workspace.
  • Audit logs capture every agent action with run counts, error rates, token usage, and the user who triggered each workflow — which means compliance and incident review have a traceable record rather than a black box.
Cons
  • The visual workflow builder does not expose a scripting layer for complex conditional logic: flows that require more than three or four branching conditions hit the canvas's expressive ceiling, and teams handling deeply nested decision trees end up maintaining a parallel custom extension — at which point the no-code value proposition is partially gone.
  • There is no self-hosted or on-premise deployment option. Teams in industries where data cannot leave a private cloud — certain government, defense, or highly regulated financial environments — cannot use BotIntelli regardless of its certifications, and will need to evaluate purpose-built self-hosted alternatives instead.
  • Pricing is paid-only with no free tier, which means prototyping or proof-of-concept work that other platforms allow at zero cost requires a budget conversation before a single workflow is tested — a friction point that causes teams to evaluate open-source alternatives like Dify or Flowise for initial validation before committing.
  • There is no self-serve trial or sandbox: getting an agent running requires joining a waitlist and going through a consultative scoping engagement. Teams that need to validate fit before committing engineering time to a vendor process cannot do that here — they go to a no-code builder like Zapier or a self-hosted framework like n8n instead.
  • The on-premise option is documented as available but no self-service deployment path or container image is published. Infrastructure teams that require air-gapped installation on their own timeline will be dependent on Onpilot's delivery schedule, not their own.
  • Because the agent configuration is built by Onpilot engineers rather than your team, iteration cycles — adding a new escalation rule, adjusting an approval chain — run through the vendor. Teams with fast-changing operational policies will accumulate a backlog of change requests they cannot resolve independently.

Made up your mind?

BotIntelli

Paid

Best for Enterprise teams needing no-code AI automation

Visit BotIntelli See full review

Onpilot

Paid

Best for Enterprise operations and manufacturing teams

Visit Onpilot See full review

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