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Governed SAP Revenue Execution.

Quoting, ATP validation, and order management on ECC and S/4HANA.

arnold™ AI by enosix governs the full revenue execution workflow — quoting, ATP validation, credit checks, and order management — against live SAP before anything leaves the CRM or commits to SAP. A single enosix Rapid Integration Object, or RIO, call runs the full pricing simulation, validates ATP against the fulfillment calendar, checks credit limits, and reviews order configuration rules — against live SAP ECC or S/4HANA in one round trip.

Make the promise you sell match the order you deliver.

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arnold™ | Revenue Execution Workflow

arnold™ Revenue Execution Workflow.

Bad orders don’t fail at shipping. They fail at the quote. The cost of a bad order is in the rework, not the return.

The Problem

Most enterprise AI platforms stop at the SAP boundary. They retrieve a pricing record, but they cannot run the pricing simulation SAP uses to build an executable quote. Reps send quotes built on yesterday’s contract terms, wrong ATP windows, or credit limits that have since changed. The order fails at SAP. The deal reworks. Margin leaks. The seller blames the system. The system has no idea the quote was wrong until a human caught it, after the commit.

Governed SAP Quoting

arnold™ connects the AI quoting experience to live SAP pricing conditions, customer-specific contract rates, ATP, and credit status, before the quote leaves the CRM. A single enosix Rapid Integration Object (RIO) call orchestrates pricing simulation, ATP validation, credit check, and fulfillment constraint review against live SAP in one round trip.

Exceptions — pricing conflicts, ATP constraints, credit holds, configuration flags — surface as human-readable recommended actions. The seller reviews. The seller approves. arnold™ submits to SAP. The quote that leaves the building is one SAP will accept.

SAP Confirms

Live pricing conditions and customer-specific contract rates validated against SAP pricing simulation, not a cached record. ATP confirmed against the requested delivery date. Credit status and account risk checked. Fulfillment constraints reviewed. Configuration rules validated where applicable. Exceptions flagged before commitment. Key workflow events can be captured in Impact Mission Control for visibility, review, and improvement.

Business Payoff

Faster deals. Higher win rates. Quote cycle time reduced. Improved order accuracy. Helps reduce quote-to-order fallout risk. Margin protected at the source, not recovered after the deal reworks.

Agent Skill Outcomes

Pricing & Terms · ATP / Availability · Quote-to-Order · Order Orchestration · Audit / Approval

Who It Serves

Sellers · Sales ops · Deal desk · Revenue Ops · Sales leadership · Finance

Human approval is required before SAP submission. arnold™ stages the quote and surfaces exceptions. It does not commit without seller review. This is not a recommendation engine. It is a governed execution layer.

SAP Truth Required

• Customer-specific pricing conditions

• Contract terms and rates

• ATP and fulfillment calendar

• Credit status and limits

• Order configuration rules

A single enosix RIO call retrieves all of the above from live SAP — not a cached record, not a snapshot — in one round trip, at the moment of the quote request.

Governance & Exception Routing.

arnold™ does not silently pass exceptions to SAP. Configured validation conditions are checked, explained in plain language, and surfaced or escalated based on configured workflow rules.

Exception trigger		Action
Discount above approval threshold	→	Surfaced or escalated based on configured workflow rules, for example: routed to deal desk before the quote is sent
Credit hold or account risk flagged	→	Surfaced or escalated based on configured workflow rules, for example: escalated to the credit team with SAP context
ATP constraint on requested delivery date	→	Rep shown available alternatives before committing
Configuration conflict detected	→	Surfaced or escalated based on configured workflow rules, for example: staged pending engineering review
Order outside seller’s authorized scope	→	Blocked at skill level · seller notified with reason

How SAP AI quoting with arnold™ Revenue Execution is measured.

Every arnold™ Revenue Execution deployment can be baselined and reviewed through Impact Mission Control to help teams separate projected value from observed impact.

↑ IMPROVES

Win ratio
Sellers close with confidence when pricing, ATP, and credit are validated before the quote leaves. Fewer deals rework. Fewer customers walk away from a bad experience.

↓ REDUCES

Time to quote
A single RIO call replaces the multi-system check a seller would otherwise run manually. Pricing, ATP, and credit validated in one interaction — not four system logins.

↓ REDUCES

Order fallout rate
Pricing and ATP are validated before commitment, not after the order fails at SAP. Helps reduce quote-to-order fallout risk.

↑ IMPROVES

Margin protection
Discount and credit exceptions are surfaced before commitment, helping protect margin at the point of decision rather than after the order is placed.

Agent skills and delivery surfaces.

Revenue Execution runs on the same composable skill library as every arnold™ workflow, delivered across every AI client and enterprise platform your team already uses.

Agent Skill Outcomes

Pricing & Terms · ATP / Availability · Quote-to-Order · Order Orchestration · Audit / Approval

Composable, extensible, and configurable to your SAP environment. Custom pricing exits, Z-programs, and variant configuration rules are reachable within your arnold™ configuration.

⇕ delivered across every surface your team already uses

Delivery Surfaces

Supported AI clients and enterprise platforms via MCP, API, and SDK

Salesforce / Agentforce
Microsoft Copilot
ServiceNow
ChatGPT
Claude
Gemini
Shopify
arnold Cloud UI
MCP / API / SDK

⇕ grounded in

enosix Foundation

Real-time SAP truth via RIOs · ECC · S/4HANA · No replication · SAP-certified

Revenue Execution does not approximate SAP pricing. It runs the simulation SAP uses — live, at the moment of the quote request.

How arnold™ Revenue Execution works.

Five-step governed workflow.

From quote request to SAP-confirmed submission. Named actors. Present tense. This is the sequence arnold™ runs on every Revenue Execution interaction.

Seller submits the quote request

From Salesforce, Copilot, ChatGPT, Claude, or arnold Cloud UI — the seller describes the deal: customer, product, quantity, requested delivery date, and any special terms. No SAP navigation. No system switch.

arnold™ receives the request via MCP or REST API.

Skill selected · permissions validated

Pricing & Terms, ATP/Availability, and Quote-to-Order skills activated. Seller’s role and action scope validated against OAuth identity — before any SAP call is made. A seller cannot access pricing or credit data outside their authorized scope.

OAuth 2.0 identity check runs first. No SAP call until permissions are confirmed.

Live SAP via enosix RIO

A single enosix Rapid Integration Object (RIO) call orchestrates the full pricing simulation: customer-specific pricing conditions, contract terms, ATP against the fulfillment calendar, credit status and account limits, and order configuration rules, inside of SAP’s live processing layer — in one round trip. 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.

Exceptions surfaced · seller reviews

If pricing conflicts, ATP constraints, credit holds, or configuration flags are detected, arnold™ surfaces them as human-readable recommended actions. Discounts above the approval threshold can be surfaced or escalated to deal desk — the quote is staged, not sent. The seller sees exactly what SAP found and what needs to happen next.

Human approval required before SAP submission on any flagged exception. arnold™ does not commit without seller confirmation.

Seller approves · arnold™ submits to SAP · action logged

The seller reviews the validated quote and approves. arnold™ submits to SAP. 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.

Built for SAP ECC today.

Ready for S/4HANA tomorrow.

Most SAP AI quoting strategies assume 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

Bring us a real SAP workflow. Leave with a proof plan.

In one working session we will identify where SAP execution is costing you margin, show arnold™ resolving it live, and leave you with a proof plan your CFO can act on.

One session. No commitment. A proof plan your CFO can act on.

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Questions technical evaluators actually ask about Revenue Execution.

Yes. arnold™ Revenue Execution runs on SAP ECC 6.0+ today. The full workflow, pricing simulation, ATP validation, credit check, fulfillment constraint review, operates on ECC with no S/4HANA migration required. The same skill library and governance layer carries forward to S/4HANA with no rework when you modernize.

Yes. This is the core differentiator. A single enosix RIO call orchestrates the full SAP pricing simulation — customer-specific pricing conditions, contract terms, and applicable discount logic — against live SAP in a single round trip. Most AI tools retrieve a stored pricing record from a replicated data store. arnold™ runs the pricing simulation SAP itself uses to build an executable quote, at the moment of the request.

arnold™ flags the exception and stages the quote for deal desk review; the quote is not sent. The seller sees a human-readable explanation of why approval is required and what the SAP constraint is. The quote moves to deal desk before it leaves the building (in this example). Key workflow events — seller, skill, exception trigger, routing decision, approver action, outcome — can be captured in Impact Mission Control for review.

arnold™ reads customer-specific pricing conditions, contract terms and rates, ATP and fulfillment calendar, credit status and account limits, and order configuration rules, from live SAP at the moment of the quote request. Not a cached record. Not a replicated data store. The pricing condition, ATP window, and credit limit SAP holds right now.

arnold™ validates pricing, ATP, credit status, and configuration rules before the quote leaves the CRM. Exceptions surface as human-readable recommended actions for seller review. The seller approves. Only then does arnold™ submit to SAP. Margin is protected at the source — not recovered after the order fails downstream. This is the difference between a governed execution layer and a recommendation engine.

Yes. enosix’s Rapid Integration Objects (RIOs) execute inside SAP’s live processing layer — reaching custom condition types, Z-tables, and pricing exits that are invisible to external API-based tools. Organizations with custom SAP pricing logic can extend arnold™ via the SDK to connect existing Z-programs, custom BAPIs, and tailored condition types. Some configuration is required depending on environment complexity, but the architecture reaches it — standard external connectors typically cannot.

Governed SAP Revenue Execution.

Quoting, ATP validation, and order management on ECC and S/4HANA.

arnold™ | Revenue Execution Workflow

arnold™ Revenue Execution Workflow.

Governance & Exception Routing.

How SAP AI quoting with arnold™ Revenue Execution is measured.

Agent skills and delivery surfaces.

How arnold™ Revenue Execution works.

Five-step governed workflow.

Built for SAP ECC today.

Ready for S/4HANA tomorrow.

Bring us a real SAP workflow. Leave with a proof plan.

Does arnold™ Revenue Execution work on SAP ECC today?

Can arnold™ run a live SAP pricing simulation, not just retrieve a cached price?

What happens when a quote triggers a discount approval threshold?

What SAP objects does arnold™ read during Revenue Execution?

How does arnold™ prevent bad orders from reaching SAP?

Can arnold™ handle custom SAP pricing logic — custom condition types, pricing exits, Z-tables?