AI agents for IFS, built into your workflows
NgageFlow brings AI agents for IFS into the place they are useful: as steps inside a flow. This is agentic AI for ERP without the leap of faith — agents read documents, make bounded decisions and act through connectors, while approvals keep people in front of every write to IFS Cloud.
Extract supplier, invoice lines and totals from the attached PDF. Flag anything that does not match a purchase order.
Never post to IFS directly. Hand the prepared invoice to the approval step.
What "agentic" means for an IFS team
Agentic AI is software that does not just answer questions — it carries out work toward a goal. For an IFS team, that means an agent reads an incoming document, email or ERP record, decides what to do within rules you set, calls IFS Cloud and other systems to do it, and pauses for a person's approval before anything risky is written back. The agent does the steps; your team keeps the controls.
Want the longer read? Start with What is agentic AI for IFS? in the Learn hub.
What agents can do inside a flow
Four building blocks that turn a workflow engine into an agentic one — each visible, loggable and reversible.
Any connector becomes a tool
Give an agent Gmail, Slack, Google Sheets or the native IFS Cloud connector as tools. The agent picks the right one for the job — within the set you allow, and nothing more.
Document and email extraction
Agents read invoices, order confirmations and supplier emails — PDFs and attachments included — and return structured fields the rest of the flow can use.
Decisions with guardrails
You define what the agent may decide and where it must stop. Amount limits, allowed record types, required confidence — judgment inside a fence you drew.
Approvals before writes
Human-in-the-loop steps pause the flow before anything is posted to IFS. A person reviews what the agent prepared, then approves, edits or rejects.
Agents draw their tools from the 700+ connector catalog, including the native IFS Cloud connector.
From inbox to posted invoice, no parked emails
The flagship agentic flow: one email becomes a validated, posted IFS invoice with the AP team informed — and a person approving the write.
Email arrives
Invoice PDF attached
Agent extracts
Supplier, lines, totals
Validates in IFS
Supplier and PO match
Posts to IFS
Invoice created
Notifies Teams
AP channel updated
Purpose-built IFS agents, ready to drop in
General-purpose agents are configured; IFS agents are engineered. The Ngage platform's agentic AI for IFS supplies agents that already understand IFS entities, processes and terminology — built by EX10, a consultancy founded by former IFS leaders. In NgageFlow, they appear as steps you place like any other.
The same foundation powers NgageChat, the conversational side of the suite — ask in plain language there, automate at scale here.
Extracts, validates against purchase orders and suppliers in IFS, and prepares the posting.
Reads incoming fault reports, matches assets in IFS and drafts the work order with priority.
Turns emailed and portal orders into clean IFS customer orders, flagging gaps for review.
Agents, answered honestly
What is an AI agent in NgageFlow?
An AI agent is a workflow step with a goal, a set of tools and guardrails. Inside a flow, the agent reads the incoming data — an email, a document, an IFS record — decides what to do within the limits you set, and acts through the connectors you gave it. Everything it does is logged in the run history like any other step.
Can agents write to IFS without human approval?
Only if you configure them to. Human-in-the-loop approval steps can gate any write, and most teams start with agents that read and prepare while a person approves the final post to IFS. As trust builds, you decide which writes to automate fully.
Which AI models do the agents use?
NgageFlow connects to leading model providers — OpenAI, Claude, Google Gemini, Azure OpenAI and others — so you choose the provider that fits your data policy. Self-hosted deployments keep that choice entirely in your hands, and NgageFlow itself never uses your data to train models; model calls run under your agreement with the provider you select.
Want the engine behind the agents? See the platform and security & hosting.
Watch an agent work your inbox
Bring a real document-heavy process — invoices, orders, supplier emails — and see an agent handle it end to end.