The technical and delivery depth behind every engagement.
A modern capability stack across intelligence, cloud, enterprise platforms, industrial technology, and delivery — deployed at scale to serve strategic outcomes.
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Artificial Intelligence
Enterprise AI strategy, MLOps, and production AI systems.
Generative AI
LLM architectures grounded in enterprise data and governance.
Agentic AI
Multi-agent systems for complex enterprise workflows.
Data
Modern lakehouse and streaming data platforms.
Analytics
Decision-science products embedded into operations.
Cloud & Security
Cloud
AWS, Azure, and Google Cloud strategy and delivery.
Cybersecurity
Zero-trust architecture and regulatory-grade security engineering.
Enterprise Platforms
SAP
S/4HANA transformation and industry-specific SAP programs.
Oracle
Oracle Cloud ERP, HCM, and EPM implementations.
Salesforce
Sales, service, and industry-cloud programs on Salesforce.
Microsoft
Dynamics 365, Power Platform, and Azure-native transformation.
ERP
End-to-end ERP strategy and delivery across platforms.
CRM
CRM modernization tied to customer and commercial strategy.
Industrial & Product
PLM
Product lifecycle management for industrial OEMs.
MES
Manufacturing execution systems across plant networks.
Industrial IoT
Edge and cloud IoT for connected operations.
Digital Twin
Digital twin models for factories and complex assets.
Automation
RPA, IDP, and agentic automation programs.
Software Engineering
Full-stack product and platform engineering.
Embedded Systems
Firmware, RTOS, and edge engineering.
Delivery & Change
Program Management
Executive PMOs for complex, cross-functional programs.
Business Analysis
Structured business analysis across process and technology.
Product Management
Enterprise product management and platform ownership.
Change Management
Adoption, enablement, and workforce transition.
Supply Chain
Planning, control tower, and supply chain technology.
The 4A methodology every AX3 engagement runs on.
Capability only matters if it lands in production. AX3 sequences every program through four phases, each with defined inputs, a fixed duration and a named artifact at the end. Assess and Architect typically run four to six weeks combined; Activate runs in eight to twelve week increments; Accelerate continues for as long as the platform is under active change.
Assess
Current-state review of architecture, data, platforms, security posture and delivery throughput. Output is a prioritized gap list with effort and risk attached to each item.
Architect
Target architecture, integration design, data contracts, security model and a sequenced roadmap. Output is a reference architecture plus a costed delivery plan your teams can execute against.
Activate
Delivery pods build in increments, with CI/CD, automated tests and observability in place from the first sprint. Output is working software in production, not prototypes.
Accelerate
Adoption, run-state optimization, FinOps, model and platform tuning, and knowledge transfer to your teams. Output is measurable cost, cycle-time or revenue movement.
The named platforms AX3 teams build and operate on.
AX3 is platform-plural by design. Teams work in the stack you already own, and recommend a change only where the current tooling is the constraint. The list below reflects what AX3 engineers use on live programs.
| Layer | Platforms and tools |
|---|---|
| Cloud & platform | AWS, Azure, Google Cloud, Kubernetes (EKS, AKS, GKE), Terraform, Pulumi, ArgoCD, GitHub Actions, OpenTelemetry |
| Data & AI | Databricks, Snowflake, dbt, Kafka, Airflow, vector databases, Amazon Bedrock, Azure AI Foundry, Vertex AI |
| Enterprise applications | Salesforce (Agentforce, Data Cloud), SAP S/4HANA and BTP, Microsoft Dynamics 365 and Power Platform, Oracle Cloud ERP |
| Industrial technology | PLM and MES platforms, industrial IoT and edge gateways, digital twin models, RPA and intelligent document processing |
| Security | Zero trust identity, CSPM/CNAPP tooling, SAST/DAST in pipeline, policy-as-code, SIEM and SOC automation |
What you actually receive
Every AX3 engagement is defined by artifacts, not activity. These are the deliverables a capability-led program produces, each reviewed with your architecture and security functions before it is accepted.
- Current-state assessment with a prioritized, costed gap list
- Target architecture and integration design, documented and reviewable
- Working software released to production in eight to twelve week increments
- CI/CD pipelines, Infrastructure as Code and environment automation
- Test automation, observability dashboards and runbooks
- Data contracts, lineage and governance controls for regulated data
- Enablement sessions and handover documentation for your internal teams
See how the stack is configured per industry.
The same capabilities behave differently in a fab, a plant, a vehicle program or a retail supply chain. These pages describe the specific problems, systems and deliverables in each context.
Hire the specialists behind these capabilities.
The engineers AX3 deploys on delivery programs are also available on contract, contract-to-hire, permanent and dedicated remote-team terms.
How we think about Salesforce, AI and SAP delivery.
- Salesforce InsightsSalesforce Consulting: What Good Delivery Actually Looks LikeMost Salesforce programs do not fail on technology. They fail on scope discipline, data ownership and the handover to the people who run the org afterwards.Read the article
- AI InsightsAI Consulting: Getting From Pilot to ProductionThe hard part of enterprise AI is not the model. It is evaluation, data access, human escalation and the operating cost of running the thing every day.Read the article
- Technology InsightsSAP Consulting: Choosing an S/4HANA Migration ApproachGreenfield, brownfield or selective transition is a business decision disguised as a technical one. The deciding factor is usually how much of your process debt you intend to carry forward.Read the article
- Salesforce InsightsDreamforce 2026 Recap: What AIforce, Koa & Claudeforce Mean for Enterprise Salesforce BuyersAIforce, Koa, Claudeforce and seven named Agentforce agents. What Dreamforce 2026 actually changes for enterprise Salesforce roadmaps.Read the article
- Salesforce InsightsClaudeforce Is Here: What Salesforce + Anthropic Means for CRM WorkflowsSalesforce and Anthropic announced Claudeforce. What the partnership does, how Salesforce in Claude works, and what it changes for sales and CRM teams.Read the article
- Salesforce InsightsAgentforce Is Now a $1.5B Business: What the Dreamforce Investor Day Numbers Actually MeanAgentforce ARR reached $1.5 billion, up over 240% year over year. What Salesforce's Investor Day numbers say about adoption and your own rollout timeline.Read the article
Capabilities — questions we are asked
How are capabilities deployed on an engagement?
Capabilities are assembled around the outcome — a delivery team drawn from intelligence, cloud, data, platform and industrial technology groups rather than a fixed staffing template. A typical pod pairs a solution architect with three to six engineers and an industry lead.
Do you work inside our existing cloud and platform estate?
Yes. AX3 builds on the cloud, data platform and enterprise applications you already run — AWS, Azure, GCP, Databricks, Snowflake, SAP, Salesforce, Microsoft and Oracle — and modernizes them incrementally rather than requiring a rebuild.
How is security and compliance handled?
Cybersecurity, access control, auditability and governance are part of the delivery capability set, which matters most in regulated and export-controlled industries. Policy-as-code, secrets management and audit logging are built into the pipelines rather than added at the end.
Can capability teams scale up or down?
Yes. Teams flex through dedicated pods, project teams, staff augmentation or managed services depending on the phase of the program, and can be resized at agreed checkpoints rather than only at contract renewal.
How long does a first engagement usually take?
Most first engagements run as a four to six week Assess and Architect phase producing an architecture, a backlog and a costed delivery plan. Build phases then run in eight to twelve week increments, each ending in something usable in production.
How does AX3 price capability-based work?
Assessments are fixed-price for a defined scope. Delivery runs either as a time-and-materials pod with an agreed monthly run rate, or as fixed-scope milestones where requirements are stable. Managed services are priced per month against an agreed service level.
Which industries do these capabilities get applied to most?
Semiconductor, hi-tech manufacturing, automotive and EV, CPG and retail, financial services and energy. Industry sub-pages describe how the same capability stack is configured for each operating context.