ENTERPRISE AI AGENT PLATFORM
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Agentic AI 🔁 ERP
10+
10+
Enterprise deployments globally
0%
0%
Disruption to your existing ERP processes
200+
200+
Pre-built connectors across all ERPs
>0 weeks
>0 weeks
From discovery to a workflow running in production
Compliance & Data →
SOC 2 TYPE II
GDPR
ISO 27001
EU AI ACT-ALIGNED
DEPLOYEMENT →
Cloud
On-premise
Air-gapped
Hybrid
Don't replace your ERP. Give it a Nervous System. ↣ From System of Record to System of Action.
Your ERP is a world-class system of record. It was never a system of action. We layer a governed agentic tier beside your existing ERP → Reading and writing through standard connectors, reasoning over live data, acting within permission. One module at a time. No rip-and-replace.
Your ERP knows. Now it acts.
Understand the Enterprise first.
Then act on it, with GOVERNANCE.
THE GAP: Your ERP records what's true. Your people still do the work.
Your ERP posts an invoice. It fails a 3-way match because the price sits outside tolerance. From there, the record simply waits → Until a human notices, pulls the PO and goods receipt, checks the contract for a rebate, and decides.
The ERP held every fact needed to resolve it. It just couldn't reason across them or act.
CHATBOTS: Suggests, No Execution
COPILOTS: Assisted, Human Still Executes
RPA: Breaks on Variation.
Tis is the gap we fill.
LAYER 01 — CONTEXT ENGINE
See the whole picture
Ingests data continuously from the ERP and everything around it through pre-built connectors and standard ERP interfaces, a live picture, not a stale snapshot or a document fragment.
300+ connectors · IDoc / RFC / BAPI / OData
Structured + unstructured, real-time sync
Reasons over your actual contract terms
LAYER 02 — SEMANTIC ENGINE
Map the relationships
Connects vendors to contracts, POs to goods receipts to invoices, deals to accounts.
When an exception fires, the agent sees this vendor, under this contract, with this rebate clause.
Cross-system entity mapping
Live operational graph
Natural-language queries
LAYER 03 — ACTION ENGINE
Act, and prove it
Where an agent stops advising and starts doing → This is where every control belongs. A permission check on every action, an immutable audit entry per step, human gates on high-risk actions, and an instant kill-switch.
Role-based permission per action
Immutable, exportable audit trail
Human-in-the-loop · kill-switch
THE CORE PROPOSITION
Don't replace the ERP.
Layer intelligence beside it.
Your ERP is a world-class system of record. It is not a system of action.
A record can tell you an invoice exists; it cannot decide whether to pay it, and it will never pay it for you. That bridge between knowing and doing is still manual in most enterprises, even mature SAP S/4HANA estates.
The fastest, lowest-risk way to close that gap is not to replace the ERP. It is to run a governed agentic layer in parallel to it: autonomous agents that read and write back through standard connectors, reason over live enterprise data, execute within permission, and escalate exceptions to your team.
The agentic layer runs in parallel to SAP S/4HANA, reading and writing back through standard connectors → Module by Module. Each module gets its own custom multi-agent team.
You adopt it one module at a time, starting where manual effort hurts most and prove ROI in a scoped 4–8 week pilot before scaling.
MODULE-BY-MODULE PLAYBOOK
Your ERP runs the transactions.
We run everything between them.
Adoption isn't a big-bang platform decision.
It's a sequence of scoped, governed layers
→ Each dropped beside one ERP module
→ Each proving ROI before the next.
01 Finance
The usual best place to start.
Touchless capture and 3-way matching, exceptions triaged not queued, approval routing on the right authority matrix, and period-close controls drafted for review.
02 Procurement
Where multi-agent orchestration earns its name. A coordinator directs specialists across supplier evaluation, contract-compliance checking, spend classification, PO automation and supplier-risk monitoring.
03 Supply Chain & S&OP
The single largest agentic-AI vertical. Agents reconcile demand signals across systems, surface a single adjusted forecast with its reasoning attached, and detect disruptions before a human notices.
04 Sales & CRM
Most valuable where CRM and ERP must agree (pricing, availability, credit, order status).
Pipeline scoring and next-best-action grounded in live ERP SD data, without the stale-snapshot hallucination risk.
05 HR & Operations
Cross-system handoffs closed end to end: onboarding across HRIS, IT and facilities; ticket triage across tools; compliant access provisioning. Issues resolved before anyone opens a ticket.
06 Master Data
The least glamorous module and quietly the most important where every other agent amplifies whatever data it's given. Material and vendor hygiene: duplicate detection, enrichment, validation at point of creation.
07 ESG / CSRD
Heaviest manual burden, highest audit stakes, a natural fit for governed agents and a distinct edge for an EU-native platform. CSRD/ESRS evidence collection with source provenance on every data point.
Start with one. Then compound.
Each new module inherits the same governance spine, so expansion is additive — not a fresh risk assessment every time. Land where the pain is measurable to the cent; expand once it's proven.
One workflow → production in 4–8 weeks
END-TO-END PLATFORM | Powered by Cortex
Production-proven.
Not a demo loop.
None of these deployments replaced a system of record.
Each made an existing landscape dramatically more productive by layering governed intelligence beside it.
CASE STUDIES —
Client: One of the largest online marketplaces
Core System: SAP → ClickHouse
What Runs in Production: Continuous intelligence over every trading KPI, every day
Client: One of the largest multinational home appliances companies
Core System: SAP ERP · Customer Azure VPC
What Runs in Production: Policy / SOP / DOA as deterministic, cited decision infrastructure — ~99.9%
Client: A multidivisional conglomerate with 27 companies across Middle East
Core System: SAP HANA · Anaplan · AWS
What Runs in Production: Finance agents — actual-vs-plan, variance explanation, CFO copilot
Client: B2B Distribution Company, UAE
Core System: SAP 4/HANA
What Runs in Production: Agentic document-to-order with governed SAP write-back
Client: Consumer Durables Company, India
Core System: Marketplaces · SAP/DMS
What Runs in Production: 50-KPI cockpit + a governed fleet of 14 agents
ENGAGEMENT MODELS
Priced to the value the layer captures, not per seat
This is an enterprise engagement, not a self-serve SaaS product.
Every engagement starts with a discovery session to scope your first module, integration surface and ROI target.
All plans include the Agentics delivery layer.
VALIDATE
Proof of Value
For enterprises proving the layer on one high-value workflow before committing to full deployment.
One scoped workflow e.g. 3-way match
Up to 5 agents · up to 10 integrations
Context + Action Engine setup
ROI projections within 48 hours
Agentics delivery team included
Cloud deployment (Client native region)
BOOK A DISCOVERY CALL
SCALE
Production Deployment
For enterprises deploying across modules with a committed 6-month ROI target and quarterly reviews.
Unlimited agents · 300+ connectors
Full three-layer architecture
Agent Builder + Workflow Builder
6-month ROI commitment + reviews
Dedicated Agentics delivery partner
Cloud or on-premise deployment
GET STARTED
Most popular
ENTERPRISE
Full Platform License
For deploying at scale across the estate with custom governance, integrations and SLAs.
Unlimited domains + capabilities
Custom & legacy integrations
Air-gapped / on-premise / hybrid deployment
Self-hosted LLMs (no data leaves perimeter)
Custom SLAs + 99.9% uptime guarantee
Dedicated customer success + 24/7 support
12-month ROI commitment
Custom compliance frameworks (HIPAA, FINRA, PCI)
TALK TO US
FAQs: Common Pricing Questions
Questions about integrations, channel coverage, or compliance requirements? We've got answers.
What is Agentic AI × ERP?
A governed layer of autonomous software agents that reads from and writes back to your ERP through standard connectors. Unlike a copilot that only suggests, an agent reasons over live enterprise data and executes multi-step workflows within permission boundaries, escalating exceptions to humans. It runs in parallel to the system of record, so no rip-and-replace is required. It's delivered on Cortex, the Agentics Enterprise AI Agent Platform.
Do I need to replace my ERP to adopt agentic AI?
No. The recommended pattern is to layer an agentic tier beside the ERP, connected bidirectionally through standard interfaces (IDoc, RFC, BAPI, OData) and pre-built connectors. Start with one high-value module, prove ROI in a scoped 4–8 week pilot, then expand across the estate with zero disruption to existing ERP processes.
Which ERP module should I start with?
Start where manual effort and financial leakage are highest and the workflow is well-bounded; for most enterprises, Finance & Procurement, specifically 3-way invoice matching and exception handling, because the ROI is immediate, measurable and auditable. Supply Chain (demand forecasting, S&OP), Master Data hygiene and ESG/CSRD evidence collection are common fast-follows.
How is agentic AI governed in a regulated enterprise?
Governance sits at the action layer, not the model. The core controls are role-based access control enforced per action, immutable and exportable audit trails, human-in-the-loop approval gates on high-risk actions, and an instant kill-switch on every agent. This lets a business touching money, master data and regulated ESG reporting answer not just what the agent did, but who approved it, what it saw, and whether it can be proven.
How long does deployment take?
A scoped proof of value on a single workflow typically runs 4 to 8 weeks from discovery to production, versus the multi-month timelines of a full ERP transformation. ROI projections are available within days of discovery, and live audit dashboards from day one of the build.
How does this relate to SAP's own Joule agents?
They're complementary. SAP's Joule agents run cloud-first and cover standard, in-suite processes well. A parallel agentic layer adds value where you need to reason across SAP and non-SAP systems, run on-premise, hybrid or air-gapped estates, deploy organisation-specific workflows native agents don't cover, or capture value while a migration is still underway. Many enterprises run both.
Can the layer accelerate our ECC to S/4HANA migration?
Yes. The same layer acts as a transformation intelligence engine across the migration — accelerating landscape assessment, data preparation, custom-code analysis, testing, defect resolution, reconciliation and cutover readiness — while SAP, SNP and your chosen SI remain the system of execution. It's deployment-neutral across S/4HANA on Azure and RISE with SAP Private Cloud, and the intelligence you build becomes a permanent, customer-owned asset that keeps delivering after go-live.
