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SAP AGENT RACE TO SAPPHIRE, 1 OF 27 WORLDWIDE

Building the Autonomous Business - one line of business at a time.

Applexus takes your enterprise from AI readiness to purpose-built agents in production, on a proven journey from Answer to Advise to Act, with governance built in at every step.
 

Not automation of tasks. Orchestration of outcomes, in the language of the function that owns them.
Proof, not promise

Validated by SAP. Running in production today. We sell a delivery plan, not a demo.

1 of 27

SAP Agent Race to Sapphire partners worldwide

100%

of agents already in production on S/4

Days

to AI-readiness, not months, with EULR

20

agent use cases on the Sapphire 2026 keynote wall

Everyone now says "we have agents." We meet your enterprise where it is, and carry it to autonomy.

Most enterprises are stuck: trapped in months of assessment, or lost in pilot purgatory where experiments demo well and never scale. Applexus solves both, anchored in the line of business, on a staged path with value at every step.

The promise

We help enterprises achieve autonomous business operations, one line of business at a time, from AI readiness assessment through purpose-built agent deployment, on a proven Crawl–Walk–Run roadmap.

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What We Do

Our Offerings

Four interconnected pillars that take you from strategy to autonomous operations.
AI Strategy Services
AI Technology Services
Business AI Solutions
AI Operations

AI Strategy Services

Define where you’re going, how you’ll govern it, and how your people get there.

Strategy and Roadmap engagements, powered by EULR, identify the right opportunities. A customer is never sold a capability without the foundation to succeed.

AI Opportunity Assessment

AI Opportunity Assessment

Map maturity, rank use cases, and identify where to start.

Autonomous Business Roadmap

Autonomous Business Roadmap

Phased plan with milestones, investment profile, and business case.

AI Governance & Operating Model

AI Governance & Operating Model

HiL policy, escalation thresholds, audit trail, and human-AI operating model.

Change Management & Adoption

Change Management & Adoption

Workforce impact, role evolution, capability building, and adoption strategy.

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Our Approach

Answer-Advise-Act

The technology to reach autonomy already exists. What gates progress is trust, earned by watching the AI answer well, then advise well, before it acts. This is a trust curve, not a technology curve.
Applexus trust graph

Answer

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Agentic BI · MVP in 2–3 months

Ask a question, get an instant, explained answer. No more waiting on reports or dashboards.

  • Human's roleDoes the work / asks
  • AutonomyAssistive · human-in-loop
  • ValueQuick wins, visible ROI

Advise

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Agentic Advisory · 2–8 months

The AI watches continuously and comes to you with ranked, reasoned recommendations and trade-offs.

  • Human's roleJudges / decides
  • AutonomyProactive · integrated
  • ValueFaster, better decisions

Act

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Agentic AI · 8–12 months

The AI executes within human-set guardrails. Bounded autonomy; exceptions escalate.

  • Human's roleGoverns / sets guardrails
  • Autonomy Predictive · autonomous
  • Value Routine work, run by AI

Maturity is not swapping use cases, it's the depth of AI participation on the same enduring jobs. Finance still runs the close in every phase; supply chain still balances demand and supply. What changes is how much of that work is the AI's versus the human's.

Our IP

Proprietary tools no other partner can bring

EULR answers "where do we start?" IRIS answers "here it is, deployed and delivering." Few competitors offer both, and rarely with proprietary tools.

EULR

AI Readiness Accelerator

Connects to your enterprise data, SAP and non-SAP, assesses data quality and readiness, identifies high-value AI use cases grounded in actual data, and generates executive-ready recommendations in days instead of months.

  • Runs 100% inside your environment, sensitive data never leaves your perimeter.
  • Compresses months of discovery into days, the front door to every engagement.

IRIS

Agentic AI Portfolio

A productized portfolio of agentic AI across Finance, Supply Chain, and Workforce that progresses through the Crawl–Walk–Run journey. Every agent maps to a specific business outcome and is designed to move the line of business toward autonomy.

  • SAP-validated and already running on customer S/4 today.
  • Productized per function, outcomes, not one-off builds.
Our Agents · The IRIS Suite

Production-grade agents, ready to deploy

The evidence behind every claim. SAP-validated, governed by design, and already running on customer S/4, nothing writes back without human approval.

Finance AI Agent

Finance AI Agent

The controller's close copilot, real-time anomaly, variance and trend on close data, conversational SQL, treasury and cash position, vendor-risk, SOX tie-outs, and accrual proposals.

Supply Chain Agent

Supply Chain Agent

End-to-end procurement, demand forecasting, BOM and inventory, safety-stock and replenishment, supplier selection, approval bundles, idempotent S/4 posting, and tariff what-if.

Predictive Maintenance Agent

Predictive Maintenance Agent

SAP-PM-native asset intelligence, criticality scoring, Weibull failure prediction, sensor anomaly detection, root-cause, spare-parts forecasting, and work-order drafting.

Promotion Agent

Promotion Agent

Trade-promotion management, demand baselines, causal lift, basket affinity, shopper segmentation, promo optimisation under budget, margin guardrails, and deduction audit.

Spend Agent

Spend Agent

Procurement spend intelligence, turns a natural-language question into a CFO-ready answer: spend clustering, anomaly detection, Kraljic matrix, savings tracker, and compliance rules.

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Why Applexus for Business AI

Specific. Defensible. Hard to replicate.

Six reasons enterprises trust Applexus to turn agentic AI into business outcomes.

01

LoB-specific agentic AI

Not generic AI. Agents mapped to real business processes and outcomes across all lines of business.

02

The EULR + IRIS flywheel

Two proprietary platforms, EULR discovers AI use cases & data products; IRIS delivers productized agents across the AI maturity arc for all LoBs.

03

Framework for Autonomous Business

A 2–3 year value roadmap, from quick-win MVPs to autonomous operations, not a one-off project. Governance built in with guardrails, auditability, and human-in-the-loop controls.

04

Any Stack. Any Cloud. Agentic by Design.

Production-grade AI agents wherever your data lives, natively on SAP (BTP AI Core, Joule, BDC) or on Databricks, Snowflake, or any hyperscaler platform.

05

A Decade of AI Innovation

From establishing our in-house AI R&D practice a decade ago, to embedding AI across our products, to delivering enterprise agentic AI solutions today, we have come a long way.

SAP Recognition

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1 of 27

Partners worldwide to win the Agent Race at Sapphire, agents validated by SAP and featured on the Sapphire 2026 keynote stage.

Customer Impact

Outcomes our customers are building toward

Detailed customer stories are in production. Below are representative engagements across the lines of business we lead with.

Leading North American oil and gas operator

Oil & Gas • SAP S/4HANA • AI agent

Applexus deployed an SAP-integrated AI agent to analyze 260,000+ annual preventive maintenance orders, recommending optimization opportunities across PM frequencies, labor planning, and materials management — all governed by human-in-the-loop approval. The 12-week MVP delivered measurable cost and scheduling improvements without increasing asset risk.

Core Capabilities Delivered

  • PM frequency optimization with 5%+ reduction in annual PM volume through safe frequency extensions
  • Labor calibration delivering 18%+ improvement in planned-vs-actual hours accuracy
  • Materials recommendations achieving 25%+ improvement in right-parts-on-first-visit rate
  • Automated SAP write-back of approved changes with full audit trail and planner governance
  • ROI prioritization ranking all recommendations by estimated cost and hours saved

Leading industrial gases producer

Industrial gases • Databricks • ML demand forecasting

Applexus built a machine learning demand forecasting engine on Databricks that replaced spreadsheet-driven planning across a specialty gases supply chain. One forecast signal now drives inventory, capacity, equipment, and procurement decisions — delivering 30% better forecast accuracy and enabling dynamic safety stock per product.

Core Capabilities Delivered

  • Ensemble ML forecasting engine (ARIMA, Prophet, LightGBM, CatBoost, NGBoost) with confidence intervals
  • Dynamic safety stock and stockout/overstock risk scoring per product with expiry-aware rotation
  • Capacity planning with utilization probability per plant, shift scheduling, and bottleneck detection
  • Cylinder and equipment demand translation with return-cycle pattern recognition by location
  • Raw material procurement forecasting with yield/conversion ratios, fed by SAP Datasphere via Azure Data Lake