Salesforce Revenue Cloud / ARM Implementation

Solution

Five types of engagements,

one focus

ARM Readiness Assessment

Current state, target architecture, roadmap, and effort estimates. The foundation for every other engagement – and a standalone deliverable if you're evaluating build options.

Full Implementation

End-to-end greenfield delivery – architecture, configurator, pricing, integrations, UI, and go-live for net-new ARM rollouts.

Migration & Replatforming

Legacy CPQ to ARM migration, including parallel run, cutover, and integration continuity.

Targeted Engineering Sprint

A focused 6–12 week intervention on a specific pillar: performance, configurator, UI, or integration.

Advisory & Architecture Oversight

Design authority and architecture / CML review for clients with in-house or alternate SI delivery.

Looking to extend your team with ARM specialists?

Book a call

For companies that
need ARM to

last past go-live

01

Enterprises rolling out ARM net-new

with products, pricing, or process that won't fit standard configuration.

02

Teams migrating off legacy CPQ

Salesforce CPQ, SAP VC, or custom, without losing the business in cutover.

03

IT & RevOps leaders going agentic

where AI-assisted configuration and quote-to-cash sit on a solid foundation.

Problems

we solve

Most ARM rollouts ship working systems.

Far fewer absorb the next catalog change, scale through M&A, survive a GTM pivot, support AI-driven sales without re-platforming, or perform when a new product line breaks the configurator.

Standard configuration stops fitting the business

The catalog doubles after an acquisition, finance moves to consumption pricing, and a new product line lands that doesn't fit the original model.

The system that worked at launch starts behaving in ways nobody quite remembers signing off on.

Legacy CPQ migrations carry hidden risk

Cutover, data, integrations, and business continuity become fragile when a programme migrates from Salesforce CPQ, SAP VC, or a custom platform.

The build can be perfect on paper and still lose the business in the transition.

AI and agentic selling need a stronger foundation

Automation amplifies whatever is there – clean constraint logic, accurate pricing, governed data flows, or the workarounds the team is already afraid to touch.

The AI layer is only as strong as the architecture underneath it. The foundation has to come first.

Performance breaks at real-world scale

High SKU volumes, large quotes, and deeply nested bundles expose weak architecture.

Complex products and pricing outgrow generic patterns. The configurator that demoed cleanly on five products fails on the actual production catalog.

Your ARM rollout, one of the above?

Get a second opinion from senior architects.

What you get

with Veloce

Seven pillars, applied where the architecture, the configurator, or the operating model actually needs them.

Not a menu – a system.

01

Solution & QTC architecture

The design that determines whether the system scales or has to be rebuilt

02

Configurator & CML engineering

Configurator engineering by people who've been close to CML since before most of the market knew it existed

03

Pricing, Discounting & Deal logic

Pricing that lives in the configuration, not in Apex

04

Performance, volume & complexity

Systems that hold up at 100K+ SKUs, 2,000+ line quotes, and deeply nested bundles

05

UI/UX & guided selling

The experiences built around how revenue actually happens, not around platform defaults

06

Integrations & data

ERP, billing, CLM, MDM, payment – designed to make integration tractable instead of expensive

07

Testing, release & hypercare

Engineering discipline that keeps the system alive after go-live

Your Salesforce ARM
implementation

partner

We are Agentforce Revenue Management specialists, bringing focused expertise and proven experience to every programme.

Here's what that ownership looks like at Veloce.

Why engage Veloce

Explore the full portfolio

ARM (ex-Revenue Cloud) is our core focus, not a side practice.

Configurator and CML depth that predates the partner ecosystem.

Industry depth in manufacturing, telecom, MedTech, and complex services.

The same teams that fix what other partners ship.

Agentic delivery and AI-aware engineering integrated into how we build.

Architecture made explicit at every phase, not deferred to the build team.

Manufacturing

NDA

How a global HVAC leader handles 65K-line service contracts

300+ locations / contract

65,000+ line items

~6 sec quote load time

A hybrid Agentforce Revenue Management architecture for configuring multi-site service agreements – fast and scalable across hundreds of locations.

Read case study

Education

Teachers’ Curriculum Institute

How a K-12 EdTech provider moved 1,000+ users to Salesforce ARM in 8 weeks

2,000+ quote lines

8-week migration

30+ quote groups

Success story of the migration from Salesforce CPQ to Agentforce Revenue Management, with a connected customer portal and a new asset framework for renewals.

Read case study

Decisions made

before code

Architecture and configurator choices get deferred to the build team in most ARM rollouts – by which point they're expensive to revisit.

We surface them at every phase of engagement before the code locks them in.

Book a call

Get a delivery model that fits your programme.

Discovery

Defining clear, aligned project scope and success criteria – workshops on business model, revenue flows, and pain points. Requirements captured, analyzed, and validated.

Planning & architecture

Translating business requirements into a structured, scalable delivery plan – solution architecture aligned with best practices, environment and deployment strategy, prioritized and estimated backlog.

Iterative development

Delivering business value in controlled, transparent cycles – agile execution in 2-3 week sprints. Continuous backlog refinement, regular demos, and ongoing stakeholder collaboration.

Solution validation & release preparation

Ensuring the solution is fully validated and ready for production – UAT and System Integration Testing (SIT). Data migration approach finalized, deployment plan confirmed.

Deployment to production

A smooth, controlled transition to live solution with stable operations – production deployment executed, release scheduled to minimize business disruption, system stability monitored during rollout.

Hypercare & post-go-live support

Driving adoption and long-term business value – post-launch support, user training, and enablement. Knowledge transfer delivered, enhancements and next phases identified.