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    Platforms

    Turn your cloud, apps and data platforms into AI-native, governed foundations.

Overview

Enterprise platforms can be the operational backbone of enterprise business, running the customer, service, and financial processes the organization depends on every day. The Platforms practice modernizes cloud, CRM, ITSM, and ERP into secure, integrated, AI-native foundations ready to run agents and copilots at scale. Accion Labs combines platform engineering depth with AI modernization, so these systems move from fragmented and hard to change into a governed base the rest of the estate can build on.

The Challenge

AI raises the bar for what enterprise platforms have to be. To support agents and copilots, systems such as CRM, ITSM, ERP, and custom applications must be modern, integrated, scalable, and cloud-ready, and most are not. Unstructured cloud adoption drives up cost and complexity, while legacy platform sprawl leaves data and processes fragmented across systems that were never designed to work together. The result is a foundation that blocks the agentic workflows leaders now expect, rather than enabling them.

What We Deliver

  • Platform engineering with AI modernization. We combine platform engineering depth with AI modernization across your estate.
  • Secure platform foundations. We build secure, AI-ready platform foundations and modernize cloud infrastructure.
  • AI-led application transformation. We transform Salesforce, ServiceNow, Dynamics 365, SAP, and low-code estates.
  • Agentic AI where it fits. We bring Agentforce and NowAssist to platforms where they add value.

How We Do It 

Ground modernization in the system graph

BreezeAI informs migration and modernization from the real system graph. 

Automate operations within gates

ASIMOV powers autonomous operations, SRE, and DevOps agents that act on incidents inside validation gates.

Scale reliability, not
headcount

The result is reliability that scales without ballooning headcount.

What We Enable

Secure AI platform Engineering@2x

Secure AI Platform Engineering

Design and operate the platform foundation for AI at scale, using Infrastructure as Code, platform automation, observability and security best practices across Azure, AWS, Google Cloud and hybrid environments.
cloud infrastructure modernization@2x

Cloud Infrastructure Modernization

Modernize enterprise infrastructure and applications with cloud-native architectures, microservices, containers, Kubernetes and DevSecOps to improve agility, scalability and cost.

Salesforce and Agentforce@2x

Salesforce & Agentforce

Design, implement, customize and modernize Salesforce, including Agentforce Sales, Agentforce Service, Agentforce Marketing and Experience Cloud, and extend agentic AI across every customer touchpoint. 

ServiceNow and NowAssist-Agentic Workflow@2x

ServiceNow & NowAssist - Agentic Workflows

Implement and modernize ServiceNow for ITSM, ITOM, HR and Customer Service Management, and add agentic workflows and NowAssist to automate service end to end.

Dynamic 365-Copilot-Led ERP and CRM@2x

Dynamics 365 - Copilot-Led ERP & CRM

Implement and modernize Microsoft Dynamics 365 for ERP and CRM and bring Copilot-led experiences to finance, operations, sales and service.

RPA and Low code Platform@2x

RPA & Low-code Platforms

We deliver robotic automation and low-code and no-code applications, integrated with AI and enterprise systems, so teams automate and build fast within enterprise governance.

SAP to S-4HANA upgrade and cloud migration@2x

SAP to S/4HANA Upgrade and Cloud Migration

Move SAP estates to S/4HANA and the cloud, with a governed, wave-based plan that preserves business rules and reduces migration risk.

AI-Native Product Engineering

Enterprise AI Strategy & Advisor

Shape and prioritize AI opportunities across people, processes, and products, with clear value, readiness, and execution paths. 

AI-Led Legacy Modernization

AI-Led Legacy Modernization

Reconstruct complex applications, define the target state, and execute controlled modernization or software transformation with ASIMOV.

Forward Engineering

Forward Engineering

Carry modernized system knowledge forward into new features and services so the application can evolve without immediately rebuilding architectural debt.

Product Portfolio Rationalization

Product Portfolio Rationalization

Use business and engineering evidence to decide where to invest, consolidate, re-engineer, maintain, or retire across the product portfolio.

AI-Augmented Software Engineering

Extend AI beyond coding into impact analysis, development, testing, documentation, review, and release.

SaaS Agentification & Embedded AI Features

Add intelligent capabilities and agentic experiences to existing SaaS products while respecting the product architecture, user experience, and operating constraints.

AI-Led Brownfield Support

Make complex live applications easier to understand, support, enhance, and transition toward modernization when the business is ready.

What You Get 

A clear, prioritized path from strategy to production

Solutions grounded in your enterprise knowledge

Governed, auditable AI and agents 

Measurable business outcomes, not stalled pilots 

A foundation the rest of your estate can build on

Proof Points

Documented Smarter Products engagements span brownfield modeling, continuous engineering, and program-scale modernization.

01

Brownfield application intelligence

A 2M+ line codebase modeled in approximately 2-3 weeks; impact analysis across a 1.6M-line application graph completed in about eight minutes.

02

Continuous engineering

93.4% test coverage generated from the model, with 23% fewer defects reported on the same team and codebase after adoption.

03

Modernization at scale

15M+ lines modernized across mainframe, Java, and desktop systems.

Proof Points

01

Client descriptor, industry

Quantified outcome, for example: delivered a measurable result in XX weeks.
02

Client descriptor, industry

Quantified outcome, for example: reduced cost or cycle time by XX%.
03

Client descriptor, industry

Quantified outcome, for example: scaled to XX users or workloads.

Why Accion

Semantic Engineering at the core

Deterministic, explainable AI grounded in specific enterprise knowledge.

Engineering depth

Decades of product, platform and data engineering behind every AI build.

Outcome-led delivery

Measurable business impact, not proofs of concept that stall before production. 

Tools & accelerators.

AI Prism, BreezeAI, ASIMOV, SPEX and more shorten time to value.

Governed by design

Security, compliance and Responsible AI built in from the first sprint.

Platform breadth in one partner

From CRM and ITSM to ERP, SAP, and low-code, delivered by a unified vendor.

Reliable cloud-ready and AI-ready platforms,
scalable as your enterprise grows.

FAQs

The Platforms practice modernizes enterprise cloud, CRM, ITSM, and ERP systems into secure, integrated, AI-native foundations ready to run agents and copilots at scale. Accion Labs combines platform engineering depth with AI modernization across Salesforce, ServiceNow, Dynamics 365, SAP, and low-code estates. 

 Accion Labs modernizes Salesforce, ServiceNow, Dynamics 365, and SAP, along with cloud infrastructure and RPA and low-code estates, across Azure, AWS, Google Cloud, and hybrid environments. Agentic capabilities such as Agentforce and NowAssist are added where they fit the platform and the workflow.

AI-native platform modernization rebuilds cloud, CRM, ITSM, and ERP platforms into secure, integrated foundations that can run agents and copilots at scale, rather than bolting AI onto legacy systems. Accion Labs delivers this with Infrastructure as Code, platform automation, observability, and security best practices.

Accion Labs builds security, compliance, and Responsible AI in from the first sprint, and runs SRE and DevOps agents inside validation gates so they act on incidents under defined controls. BreezeAI grounds modernization in the real system graph, so change is planned against an accurate view of dependencies.