Real use cases, across all three products
AI Assistant grounds chat and search in your own data. Asset Management runs procurement and the asset lifecycle. CRM runs the pipeline. See where teams get value first, product by product.
Built for enterprise IT teams, role-based access control, SSO/SCIM and audit logs standard on Enterprise. See our security practices.
Grounded chat, wherever your data already lives
Turn ERPs, ticket systems, drives and internal APIs into tools any model can call, with citations attached to every answer.
AI on top of your ERP
Natural-language queries, exception handling and report generation on SAP, Oracle, Dynamics , no migration.
See how AI-enabling a legacy ERP works →Smarter customer support
Grounded answers from product docs, tickets and CRM history with citations agents can trust.
See how grounded support answers work →Enterprise search that actually works
Unified RAG over SharePoint, Drive, Confluence and databases. Permission-aware out of the box.
See how RAG grounds enterprise search →Document & contract intelligence
Extract, summarise and compare contracts, SOWs and policies at scale.
See how grounded contract review works →Sales & RevOps copilots
Pipeline summaries, account research and CRM updates triggered from chat via your existing APIs.
See how the AI sales copilot works →Retail & e-commerce agents
Catalog Q&A, order lookups and merchandising assistants built on your real product data.
See how AI order lookup works →One trail from requisition to disposal
Procurement and the full asset lifecycle in one connected trail, from raising a request to retiring what you bought.
Procurement with a document trail auditors like
Requisition, RFQ, purchase order, goods receipt, invoice and payment — each one numbered and pointing back at the one before it, so “why did we buy this” always has an answer.
See how procure-to-pay works →Maintenance that raises its own work orders
Recurring plans generate the schedule of what's due when, and a due item turns into a work order with its checklist attached, nothing waits on someone remembering.
See how preventive maintenance works →Helpdesk tickets tied to the asset
Faults are raised against the machine they concern, with SLA response and resolution targets, so whoever picks up the ticket has that asset's history already in front of them.
See how the helpdesk works →A pipeline that keeps its own bookkeeping
Configurable pipelines, automatic stage history and forecasting that reflects where deals actually are.
A deal board that keeps its own history
Move a deal across the board and its status, probability and stage history update themselves, so a pipeline review starts from a record instead of a recollection.
See how the deal board works →Forecasting that reflects where deals actually are
A weighted forecast rolls up automatically from each deal's stage and currency, so the number leadership sees updates itself instead of waiting on a manual roll-up.
See how forecasting works →One account view for the whole relationship
Company and contact records roll up into a single account view with every deal against it, so a rep opens one page instead of piecing the relationship together from separate lists.
See the account view →Not seeing your exact workflow?
Talk to us about your use case →Common questions
01Does Artificial Wit work for retail?+
Yes. Retail teams use Artificial Wit for catalog Q&A, order lookups and merchandising assistants built on your existing product and order data, no separate retail platform to stand up.
See how AI order lookup works →02Can this run on top of our ERP without migration?+
Yes. Artificial Wit wraps your existing SAP, Oracle or Dynamics data in an MCP endpoint so it's queryable in natural language your ERP stays exactly where it is, with no re-platforming project.
See how AI-enabling a legacy ERP works →03Can you help us track purchases and assets, not just chat with our data?+
Yes, that's Asset Management: a separate product in the same workspace covering requisition through payment, then allocation, maintenance, depreciation, audits and disposal for whatever you bought. It runs standalone or alongside AI Assistant.
Explore Asset Management →04Is the “sales copilot” use case the same as your CRM?+
No, they're complementary. The sales copilot is AI Assistant reading and updating a CRM you already have through MCP. Our own CRM, configurable pipelines, a deal board, forecasting, runs in the same tenant, so the pipeline, the account and the AI answering questions about it are already together.
Explore CRM →05Is this built for healthcare and manufacturing too?+
The same underlying platform, API aggregation, RAG over your documents, and governed AI agents — applies regardless of industry. Manufacturing and healthcare teams typically start with ERP data access or grounded internal search.
See how RAG grounds enterprise search →06Which systems can Artificial Wit connect to?+
SAP, Oracle, Salesforce, NetSuite, SharePoint, Google Drive, Confluence, and any REST or GraphQL API you already run plus any MCP-compatible AI client, including Claude, ChatGPT, Cursor and Gemini.
See the MCP server →