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Artificial Wit

FreemiumAPIAgentic

Connecting a modern LLM to a legacy ERP without writing a pile of glue code is the project that quietly absorbs entire quarters — Artificial Wit exists to short-circuit that.

$29/user/month · Free tier: 1 workspace, 1 user, Connect up to 3 APIs, 100 MB knowledge base · Checked Oct 22, 2026

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Summary

The platform sits between your existing APIs, documents, and knowledge bases on one side and any LLM — Claude, ChatGPT, Gemini, or a local model — on the other. You connect REST or GraphQL endpoints, upload docs or point at a database, then the platform exposes every configured API as a Model Context Protocol tool, discoverable by any MCP-compatible client. No schema migration, no re-platforming. The free tier caps you at three API connections, which covers a proof of concept but hits the wall fast for a real ERP environment. Role-based access control is included, which matters the moment clinical documents or order data enter the picture.

Bottom line: Pick this to get a working AI layer over a single legacy ERP in days without touching the underlying system — plan a richer tooling strategy when you need more than three live API connections or require self-hosted deployment for data-residency compliance.

Pricing Plans

SubscriptionLast verified 2 weeks ago
Price
$29/user/month
Free Tier
1 workspace, 1 user, Connect up to 3 APIs, 100 MB knowledge base

Free

Free

Explore the workspace on your own systems.

  • 1 workspace, 1 user
  • Connect up to 3 APIs
  • 100 MB knowledge base

Pro

$29per month

For teams putting AI on top of real business systems. Most popular plan.

  • Unlimited APIs & tools
  • 10 GB knowledge base
  • Hosted MCP server with auth
  • Form / Table / Chart workflows
  • Email & chat support

Enterprise

Custom

Legacy AI enablement, private deploys and SSO.

  • Dedicated / VPC deployment
  • SSO, SCIM, audit logs
  • Legacy system integration services
  • Custom RAG & agent engineering
  • SLAs and named support

View full pricing on artificialwit.com →

Pricing may have changed since last verified. Check the official site for current plans.

Find your fit

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Pros

  • No-code MCP tool generation from any configured API, which means Claude Desktop or Cursor can call your internal ERP endpoints without a custom integration build for each LLM client.
  • Retrieval-augmented generation with cited answers baked into the knowledge base, so the assistant returns sourced responses from your actual documents rather than the model's training data — which removes the audit problem for healthcare and compliance contexts.
  • Role-based access control included at the platform level, so permission-aware queries against clinical documents or financial data do not require a separate access layer bolted on afterward.
  • Provider-agnostic LLM routing — OpenAI, Anthropic, Gemini, or a local model — so swapping the underlying model when pricing or performance shifts is a configuration change, not a rebuild.
  • Agents coordinate multiple APIs and knowledge sources in a single workflow, so a query that needs to cross-reference an ERP record and an internal policy document does not require you to wire those calls together manually.

Cons

  • The free tier limits you to three API connections — a single ERP integration with a knowledge base and one additional service exhausts it. Teams scoping a real enterprise deployment hit the paid tier before the pilot is done.
  • No self-hosted deployment option is available. Organizations under data-residency mandates, HIPAA BAA requirements that prohibit cloud egress, or air-gap security policies cannot use the platform at all — those teams evaluate self-hostable alternatives instead.
  • Agent configuration happens through a no-code admin panel, which covers straightforward tool-call chains but gives no indication of supporting complex branching logic based on intermediate results. Teams that need multi-step conditional flows — branching on what the ERP returned before deciding which knowledge base to query — report adding a custom orchestration layer, at which point they are maintaining two systems.
  • The platform is not open-source, so debugging unexpected agent behavior or auditing how credentials are handled requires trusting vendor documentation rather than inspecting the runtime directly. For security-sensitive enterprise procurement, that gap extends review cycles.

About

Platforms
Web, MCP clients (Claude Desktop, Cursor, ChatGPT)
API Available
Yes
Self-Hosted
No
Last Updated
July 15, 2026

Best For

Who it's for

  • Enterprises modernizing legacy systems without migration
  • Teams already using Claude, ChatGPT or Gemini who need tool access
  • Organizations requiring cited answers from internal documents
  • No-code configuration of MCP tools from existing APIs

What it does well

  • Natural-language queries against SAP, Oracle or Dynamics ERP data
  • Order lookups and catalog Q&A on real retail data via MCP
  • Permission-aware search across clinical documents and internal healthcare systems
  • AI agent workflows that orchestrate multiple APIs and knowledge sources

Integrations

SAPOracleSalesforceMicrosoft DynamicsNetSuiteWorkdayServiceNowHubSpotSupabasePostgreSQLMongoDBSharePointcustom REST/GraphQL APIs

Frequently Asked Questions

Is Artificial Wit free?
Artificial Wit offers a free option alongside paid upgrades. Pricing: $29/user/month. Check the current allowances and terms before choosing a plan.
Does Artificial Wit have an API?
Yes. Artificial Wit exposes a developer API. See the official documentation at https://artificialwit.com for details.
What platforms does Artificial Wit support?
Artificial Wit is available on: Web, MCP clients (Claude Desktop, Cursor, ChatGPT).

Enterprises running SAP, Oracle, or Dynamics have spent years defending those systems against rip-and-replace proposals — and spent just as long explaining to every new AI initiative why the data is not accessible. Artificial Wit wraps those systems in a unified API aggregation layer: you plug in REST or GraphQL endpoints, ingest PDFs, wikis, or database content, and the platform turns everything into a single conversational interface. Agents are configured from a no-code admin panel, credentials are centralized, and the assembled tool set is immediately callable by the LLM of your choice.

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