Which work orders at site 100 are overdue?
Seven are overdue. Four are on the pump house.
| Work order | Asset | Due |
|---|---|---|
| 3391 | P-114 | 2 Nov |
| 3402 | P-118 | 3 Nov |
| 3417 | C-22 | 4 Nov |
Raise a fault report for P-114?
Say it once.Done across your ERPs.
Ngage is enterprise AI that already knows IBM Maximo, IFS and SAP. Ask in plain words and it reads, checks and acts across your systems, within your permissions.
- Works with
- IBM Maximo
- IFS
- SAP
- Your homegrown systems
One request instead of four handoffs
A leaking pump usually crosses three systems and four people.
Ngage 4 steps Pump P-114 is leaking. Find the fault, check the cost, find the part and update the team.
- 1 Read the asset and its open workP-114, 2 open faults, seal wear IFS
- 2 Check the repair against budgetWithin the Q4 maintenance budget SAP
- 3 Find the part at the siteMechanical seal, 6 in stock, site 100 SAP
- 4 Draft the update for the team#maintenance, waiting for approval Teams
Raise a fault report on P-114?
- 1
Find the fault
Service team, in IFS
Ngage reads the asset and its open work orders, as the person asking.
- 2
Check the cost
Finance, in SAP
It checks the repair against the budget before anyone waits for an email.
- 3
Find the part
Buyer, in SAP
It finds the seal and the stock at the site that needs it.
- 4
Update the team
Coordinator, in Teams
It drafts the update, then waits for a yes before it writes anything.
Three products, one foundation
NgageChat answers, NgageFlow automates and NgageCode builds apps. All three share what Ngage knows about your systems.
- Trigger An invoice arrives in Outlook
- Agent Reads it and checks the supplier
- ERP Posts the invoice for approval
- You Approve in Teams
A parts request app for field technicians
AssetP-114 PartMechanical seal Quantity2
Underneath all three
- The Native AI layer
- What Ngage has learned about each application, built once and shared by all three.
- Business context
- Your knowledge bases, documents and policies.
- Your permissions
- Every request runs as the person asking.
- Approvals and audit
- Writes wait for a yes. Every step is logged.
Ngage learns your application once
We call what it learns the Native AI layer: how an application’s data, business logic and operations fit together. It is built once, and every request and product after that uses it.
Understand
Ngage learns the application’s data, business logic and operations.
Create
That becomes a reusable Native AI layer. For IBM Maximo, IFS and SAP it is ready today. For any other application, we build it in weeks.
Scale
Many users and many use cases run on the same foundation, each within its own permissions.
A new task is a prompt, not a project
Most AI projects build and test each use case on its own. With the application understood once, a new request is a sentence.
| Question | Built per use case | Understood once |
|---|---|---|
| How it learns | A skill or tool is built for each process | It learns how the application works, once |
| A new request | A new project for a delivery team | A new prompt for the same layer |
| Who can use it | The teams the project was scoped for | Anyone, within their own permissions |
| Suits | A few deep, bespoke workflows | Many use cases for many people |
What one request can reach
IBM Maximo, IFS and SAP are ready today. For any other application, including homegrown software, we build its Native AI layer in weeks.
- IBM MaximoReady today
- IFSReady today
- SAPReady today
- Any other applicationHomegrown or specialist software. We build its Native AI layer in weeks.
- Knowledge
- Knowledge bases, documents and policies
- Collaboration
- Slack, Microsoft Teams, Gmail, Outlook
- CRM
- Salesforce, HubSpot, Pipedrive
- Work tools
- Jira, Asana, Notion, Google Sheets
- Developer and AI
- GitHub, Supabase, OpenAI, Claude, Pinecone
- Open
- MCP servers, and 500+ app connectors in NgageFlow
LLM agnostic. Run the model your policy allows. Planned out of the box: Oracle, Snowflake, Databricks and deeper Salesforce integration.
See every connectionWho Ngage is for
Operations, maintenance and finance
People who want answers and actions from their ERP without learning every screen.
See the use casesOrganisations with several systems
Several ERPs, knowledge bases and tools that need one layer across them.
See the systemsImplementation partners
Consultancies that add Ngage to their practice and earn services revenue.
Partner with usStart with one real task
Bring a scenario from your own ERP. We run it with you, live, in a safe test setup.
A live run
Thirty minutes on a scenario you choose, in a safe test setup.
A scoped pilot
One process, one team and clear measures of success.
A partnership
Deliver Ngage to your clients and earn services revenue.
Set us a task
On IBM Maximo, IFS or SAP, the first use case can be live in hours, depending on access to your test environment and the scope. On any other application, we first build its Native AI layer, which takes weeks.