Built for SAP ECC today.

Ready for S/4HANA tomorrow.

Most SAP AI strategies assume ECC to S/4HANA modernization is already complete. Most SAP customers still run ECC. arnold™ is a purpose-built governed AI execution layer for live SAP ECC and S/4HANA processes.

SAP ECC 6.0+ · Live now
S/4HANA · Same skills
No data replication
No migration required
No middleware rebuild

How every arnold™ workflow executes

If it’s not live, it’s not SAP truth.

Every arnold™ interaction follows the same validated path against live SAP. No shortcuts. No cached data. No approximations. The gap between stale SAP data and live SAP truth is where error and margin are lost.

01
AI client delegates to arnold™
ChatGPT, Claude, Copilot, Salesforce, or any MCP-connected app. Request sent via MCP / API / SDK / arnold Cloud UI.
arnold™ receives the request via MCP or REST API.
02
Skill selected · permissions validated
Skill selected. User role and action scope validated against OAuth identity — before any SAP call.
OAuth 2.0 identity check runs first. No SAP call until permissions are confirmed.
03
Live SAP via enosix RIO — one round trip
Workflow-specific Rapid Integration Object (RIO) orchestration inside of SAP’s live processing layer runs the full pricing simulation: customer-specific pricing conditions, contract terms, ATP against the fulfillment calendar, credit status and account limits, and order configuration rules. Not external BAPIs chained together. Not a cached pricing record. Live SAP at the moment of the quote request.
SAP objects read: pricing conditions, customer contract rates, ATP, credit status, fulfillment constraints, configuration rules.
04
Guardrails · exceptions surfaced · rep reviews
If credit risk, policy violations, nonstandard actions are detected, arnold™ surfaces them as human-readable recommended actions.
Human approval required before SAP submission on any flagged exception. arnold™ does not commit without user confirmation.
05
Answer returned · action logged
Human-readable result returned. Key workflow events — user, skill, SAP objects read, pricing validation result, exceptions caught, action taken — can be captured in Impact Mission Control for visibility, review, and improvement.
Full audit trail: user · skill · SAP data · validation result · action taken · outcome.

Typical AI vs. arnold™

Typical AI

Answers questions but leaves the work for your team to complete manually.

arnold™

Executes against live SAP so the work actually gets done.

Typical AI

An ungoverned action in SAP is a bad order, a wrong credit, or a compliance event waiting to happen.

arnold™

Validates every configured action against your business rules inside SAP before anything is committed.

How you win with arnold™

A decade of SAP process virtualization

enosix has been virtualizing ECC and S/4HANA process logic for enterprise teams for over ten years. That depth is what makes arnold™ possible.

ECC and S/4HANA without replication

No copied data, no sync lag, no stale truth. What the AI sees is what SAP holds right now — in ECC or S/4HANA, with no migration dependency.

One RIO call, not external BAPI chains

One governed SAP result. Not multiple external BAPI hops that compound into reasoning errors and process risk.

Five questions every SAP AI evaluation should start with.

Ask these of any governed SAP execution layer, including arnold™. The answers determine whether the architecture can actually deliver on the promise of enterprise AI.

  1. Is the AI reading live SAP, or an old snapshot of data?
    WITH ARNOLD™: Not a snapshot. Not a cached record. The pricing condition, ATP window, and credit limit SAP holds right now — via enosix RIOs in a single round trip.
  2. Will it catch the pricing error before the quote goes out?
    WITH ARNOLD™: Pricing rules, credit status, configuration constraints checked against live SAP before any action is staged or executed — not after.
  3. Will the audit team be fully confident the right teams have access to the right transactions?
    WITH ARNOLD™: Role-based access validated against OAuth identity. A rep cannot execute actions outside their scope — enforced at the skill level.
  4. Is there still an error queue blocking credit logs?
    WITH ARNOLD™: Credit risk, policy violations, nonstandard actions caught at validation and routed to the right human, never silently passed.
  5. Can we actually see what’s going on in our AI systems?
    WITH ARNOLD™: Traceable to the system of record. When someone asks “why did it do that?” the answer is there.
    User · skill · SAP object · validation result · action · outcome.