AI Agents · Process Agents
AI Agents That Run Your Business Processes End to End
Build process agents that automate whole workflows: Order-to-Cash, Procure-to-Pay, Forecast-to-Produce, or exception tracking across them. Instruct them in plain English, give them governed tools, connect SAP securely, and set the policies they must follow. They work the process, and ask a person when they should.
- Human-in-the-loop
- Policy-governed
- SAP-connected
- Full audit trail
PROCESS AGENT · INVOICE AUTOMATIONactive
Invoice Automation
16 toolsreceipt → matching → approval → post to ERP
- Done: Classified document · Invoicedone
- Done: Extracted fields & line itemsdone
- Done: Matched to PO 4500000538done
- Waiting: Price variance above tolerancewaiting
Waiting for you
Line total is 3% over the PO. Approve the variance and post to SAP, or reject?
Approve & postReject
- Describe the process in natural language, the instructions are the agent
- Give it tools: read data, classify & extract documents, write to SAP
- Connect SAP securely, credentials never shown to the agent
- Set policies the runtime enforces, with human approval where it matters
End-to-endWhole processes, not tasks
Plain EnglishInstructions are the agent
GovernedPolicies & human approval
AuditedEvery step logged
How an agent is built
Five things define a process agent.
No code. You configure each part, and the runtime does the rest.
- 01 · BASIC INFORMATION
What the process is
Name the agent and its unit of work, an "Invoice," a "Case," an "Order", so every screen reads naturally for your process, and describe what it handles.NameUnit of workDescriptionList & detail columns - 02 · PROMPT
The instructions, in plain English
The prompt is the process: how to read the case, how to handle exceptions, when to stop and ask. Written in natural language, with immutable versioning, saving creates a new version, and cases already running keep the version they started on.Natural languageImmutable versionsPolicy referencesNo hardcoded numbers - 03 · TOOLS
What it's allowed to do
Give the agent tools it can call, read data, classify and extract documents, search prior cases, send email, write to SAP. Read tools observe; Action tools change external systems and can require human approval before they run.Read & lookupClassify & extractWrite to SAP (Action)Ask a person - 04 · CONNECTIONS & DATA
The systems and data it uses
Connect the agent to SAP and other systems by name, and choose the cached data feeds and live reads it can use. Credentials live in the platform's integration accounts, never shown to the agent, never written into a prompt, never stored with a case.SAP connectionCached feedsLive readsCredentials isolated - 05 · POLICIES
The rules it must follow
Set the guardrails the runtime enforces regardless of the prompt: when the agent may act alone versus ask a person, data-freshness rules, step and retry limits, and process values like tolerances and thresholds, changed here, never hardcoded in the instructions.Autonomy limitsData freshnessStep & retry capsTolerances
What they automate
Put an agent on an entire business process.
Not a single step, the whole flow, from the document arriving to the transaction posting, with the judgment calls escalated to people.
- Procure-to-Pay
AP & invoice automation
Process supplier invoices from receipt through validation, PO matching and exception handling to approval and posting in the ERP.receive → extract → match → approve → post - Order-to-Cash
Sales order & billing
Turn incoming orders into clean, validated transactions, capture, check against master data, and create the order, flagging what needs review.order → validate → create → bill → reconcile - Forecast-to-Produce
Planning & production
Move from demand signals to production actions, read the inputs, apply your rules, and drive the downstream steps in the system of record.forecast → plan → validate → execute - Cross-process
Exception tracking
Watch for what's wrong across processes (mismatches, missing data, stuck cases) and surface exceptions with the evidence behind them for someone to act on.watch → detect → evidence → escalate
The idea
Every agent is a configuration, not separate software.
All your process agents run on the same underlying runtime. What makes one different from another is its configuration: its instructions, the tools it can use, and the policies it works under. Adding a new process means writing a new configuration, not building a new system.
When it runs
It works the case, logs every step, and waits when it needs you.
Each item the agent handles is a case with a clear status. When a decision is yours to make, it pauses and asks, with its reasoning and a recommendation, not just a question.
- Transparent
Every step logged
The agent records its conclusions as it reaches them, so its reasoning survives an interruption and a reviewer can follow exactly what it did and why. - Escalates well
Asks with a recommendation
When evidence is incomplete, contradictory or unusual, it stops and asks a person, giving its reasoning and a recommended action, and waiting for accept or reject. - Never guesses
Stops rather than invents
It won't invent a value that should come from a document or system, and won't assume an action succeeded just because it tried, it confirms.
Why you can trust it near SAP
Governance built into the runtime, not the prompt.
Agentic automation only earns a place near your systems of record if it's controllable. These guardrails are enforced by the platform itself, so they hold regardless of what any instruction says.
- Human-in-the-loop
Human approval on actions
Any tool that changes an external system (writing to SAP, sending an email) can require human sign-off before it runs. The safe default, tightened per action. - Credentials
Credentials isolated
Login details for SAP and other systems stay in the platform's integration accounts, never shown to the agent, never written into a prompt, never stored with a case. - Freshness
Data-freshness rules
Work from cached feeds for speed, but require a live read of the affected records immediately before any write, so commitments are made on current data. - Limits
Limits & budgets
Cap steps per case, tool retries, and token budget, and set a human-response target, so an agent can't run away or stall silently. - Versioning
Immutable versions
Every prompt change is a new, immutable version. Cases keep the version they started on, so a mid-flight change never rewrites work already underway. - Policy
Policy over instruction
Thresholds and tolerances live in policy, referenced by the prompt, so you change a limit in one governed place, never by editing instructions.
Built for SAP shops
Agents that actually post into SAP, safely.
Process agents read live SAP data, work from synced feeds, and write back to SAP through governed, approval-gated actions, with a live read required before any commit. It's agentic automation designed to be trusted around your system of record, built on 21+ years of SAP delivery.
Why Artificio
Why teams choose Artificio process agents.
- Whole processes, end to endNot a single task, receipt through posting, with judgment escalated.
- Configuration, not codeOne runtime; new processes are new configs, built in plain English.
- Governed by policyAutonomy, freshness and limits enforced by the runtime, not the prompt.
- Human-in-the-loopApproves actions, asks when unsure, waits for accept or reject.
- Credentials isolatedSAP logins never reach the agent, the prompt, or a case.
- Fully auditableEvery step and conclusion logged for review and traceability.
- Built on the platformUses the same extraction, documents and data as the rest of Artificio.
- SAP expertiseDesigned to post into SAP safely, from 21+ years of delivery.
Getting started
Start from a ready-made process, or build your own.
- Ready-made
Start from a template
Begin with a fully written process, instructions, tools and safety settings included. You choose which systems and data it connects to, and change anything afterward. - Build your own
Describe a new process
Name it, describe the work in plain English, pick its tools, connect its systems and set its policies, no code, no new system to stand up. - Evolve safely
Refine with confidence
Tune the prompt, adjust policies, and add tools over time, with versioning and human checkpoints so changes are safe to make on a live process.
FAQ
Common questions.
What is a process agent?
It's an AI agent that runs a whole business process end to end, for example, processing supplier invoices from receipt through matching and approval to posting in the ERP. You define it in plain English, give it tools and data connections, and set the policies it must follow. It works each case, logs its steps, and asks a person when a decision is theirs to make.
What processes can it automate?
End-to-end flows like Procure-to-Pay (AP and invoices), Order-to-Cash (orders and billing) and Forecast-to-Produce (planning and production), as well as cross-process exception tracking, watching for mismatches, missing data and stuck cases and surfacing them with evidence.
Do I need to write code to build one?
No. You describe the process in plain English, choose the tools it can use, connect its systems, and set its policies. Every agent runs on the same underlying runtime, adding a new process means writing a new configuration, not building new software.
How does it connect to SAP, and is that secure?
You connect the agent to SAP through the platform's integration accounts. Credentials stay in those accounts, they're never shown to the agent, never written into a prompt, and never stored with a case. The agent reads live SAP data and writes back through governed actions, with a live read required immediately before any write.
Can I keep a human in control?
Yes, that's the default. Any action that changes an external system can require human approval before it runs, and the agent escalates whenever evidence is incomplete, contradictory or unusual, giving you its reasoning and a recommendation. Cases wait in a "Waiting for you" state until you accept or reject.
How do I control what it's allowed to do?
Through tools and policies. Tools decide what actions are even available to the agent, and Action tools can be approval-gated. Policies (enforced by the runtime regardless of the prompt) set when it may act alone, data-freshness rules, step and retry limits, and process tolerances. Thresholds live in policy, not hardcoded in instructions.
Can I trust it not to make things up?
It's instructed and constrained to be conservative: it won't invent a value that should come from a document or system of record, and it won't assume an action succeeded just because it attempted it. When unsure, it stops and asks rather than guessing, and every step is logged so a reviewer can follow its reasoning.
What happens when I change an agent mid-flight?
Prompt changes create a new immutable version. Cases already running keep the version they started with, so an edit never rewrites work in progress, and you have a full version history to review and roll back to.
Security & compliance
Enterprise security by design
ISO 27001:2013 certified, SOC 2 Type 2 compliant and GDPR ready. Agents run under runtime-enforced policies with human approval on external actions, isolated credentials, and a full audit trail of every step, on-premises, in your cloud, or ours.
- HUMAN-IN-THE-LOOP
- CREDENTIALS ISOLATED
See it on your process
Bring a process you'd love to hand off.
Tell us a workflow (AP invoices, order intake, an exception you chase) and we'll show a governed agent running it, with SAP in the loop and you in control.