Sales Cloud
Lead and opportunity management, forecasting and pipeline analysis configured to your sales motion.
ExploreA focus on custom CRM solutions and cutting-edge technology, our Salesforce consulting team helps businesses stay ahead of the curve. Strategy, implementation, integration and AI, delivered by one accountable team.
Platform coverage
Lead and opportunity management, forecasting and pipeline analysis configured to your sales motion.
ExploreCase routing, SLA tracking and a single view of the customer across phone, email and portal.
Sales agreements, account based forecasting and demand visibility for manufacturing teams.
ExploreJourney Builder, segmentation and personalisation joined to your CRM data.
ExploreGuided selling, pricing rules, product bundles and automated approval workflows.
ExploreWhere teams get stuck
None of them are Salesforce licence problems. All of them are solvable with the right delivery approach.
Your team has a CRM and still manages pipeline in Excel. That is rarely a Salesforce problem, it is a setup problem. We fix the root cause so the system works for your reps instead of against them.
Most vendors sell a chatbot and call it done. We build AI on top of your Salesforce data, forecasting deals, flagging at risk accounts and drafting follow ups, so the hours saved are measurable.
Implementations fail on planning, not on technology. A fixed discovery, a prioritised backlog and a named delivery team keep scope and spend visible from week one.
Building an internal Salesforce team takes months. Certified consultants, developers and admins plug in on demand, from first implementation through managed services.
Salesforce consulting services
Engage a single service or the full programme. The same certified consultants and developers stay with you from discovery to managed services.
Our Salesforce partners hold years of experience across industries. They record your business challenges, learn your requirements and deliver action plans that resolve CRM performance issues such as slow deployment or missing integration.
Implementation solutions that run from consultation and customisation through migration and integration, improving overall workflow rather than forcing your team into a generic template.
Custom objects, fields, workflows and supporting elements built around the way your team sells and serves, with training so the configuration is actually adopted.
Certified Salesforce developers build customised, feature rich web and mobile applications that augment your existing processes and streamline the customer service journey.
Integration connects Salesforce to CRM, ERP and marketing automation platforms so data flows cleanly between them. Our certified professionals handle the complex systems others avoid.
Move data into Salesforce from legacy systems, or out of Salesforce into a third-party platform, without compromising security. Mapping, cleansing and validation are handled end to end.
Regular after sales support and maintenance for your Salesforce project. Issues big or small, release updates, user questions and org health monitoring all sit with one accountable team.
A network of top tier Salesforce developers ready to join your team on contract or permanently. We source candidates, run technical evaluations and advise on developer fit and salary benchmarks.
Business outcome
Cloud based access to real time customer and business data for partners and employees.
Stronger customer interaction, satisfaction and experience across sales and service teams.
The world's leading CRM, extended by a partner ecosystem instead of custom rebuilds.
A platform that scales with new clouds and AI features rather than a fresh procurement cycle.
How we deliver
One to two weeks mapping your sales and service process, auditing the existing org and agreeing measurable outcomes.
Data model, automation and integration architecture documented and signed off before a single line of configuration ships.
Configuration, custom development and CPQ or cloud specific work delivered in review-based sprints you can see.
Data mapped, cleansed and loaded, then Salesforce connected to ERP, finance and marketing systems so reporting reflects reality.
Role based training, hypercare through the first release, then ongoing tuning, enhancements and org health monitoring.
How the work runs
Workshops to map processes, systems and the outcome you are measured on.
Solution blueprint, data model and delivery plan agreed before we build.
Two week sprints with working software and a demo at the end of each one.
Migration, UAT, enablement and a cutover plan your teams can rehearse.
Managed support, enhancements and quarterly roadmap reviews.
Salesforce AI
We start from the workflows that cost your team the most hours, then measure what the AI gives back.
AI development servicesAutonomous agents handling service triage, internal workflows and follow up inside Salesforce, with guardrails your admins control.
Predictive lead scoring, deal health alerts and forecasting trained on your own pipeline history.
Call summaries, case recaps and draft follow up emails written from CRM data so reps stop retyping context.
Leads, cases and quote approvals routed by intent and capacity rather than a static assignment rule.
Industry depth
Sales agreements, dealer and distributor visibility, CPQ for configured products and Manufacturing Cloud forecasting joined to ERP.
Service Cloud patient support unified with hospital management systems, with SLA tracking and consent aware data handling.
Advisor and relationship management, onboarding workflows and audit ready process automation across products.
Commerce Cloud and Marketing Cloud journeys tied to a single customer record so campaigns reflect real purchase behaviour.
Migration and integration
mVerve has delivered data migration and integration projects of every size. These are the moments where it matters most.
A new Salesforce instance needs existing customer lists, product catalogues and sales records imported and validated.
A CRM consolidation, an acquisition or a move off a legacy platform means records, history and attachments have to land intact.
Connecting Salesforce to surrounding systems automates lead routing, order processing and support ticket creation.
Combining data from several systems gives leadership a complete operational picture and decisions that hold up.
How we work
Every engagement starts with the metric that has to move and reports against it.
Security, access control and documentation handled as part of delivery, not after.
Automation and models applied to the steps that actually cost your teams time.
Proof of work
Challenge. A fashion retailer with stores across the US and Canada committed to Commerce Cloud with a tight launch window and no in-house Commerce developers.
Solution. Our developers joined the existing team, handling customisation, API integration, interface work, data migration and quality assurance to hit the launch date.
Read the storyChallenge. A hospital group ran patient enquiries across disconnected systems, duplicating data and slowing response times.
Solution. Service Cloud was integrated with the existing hospital management system to create one support hub with automated routing and SLA tracking.
Read the storyChallenge. Manual handoffs between teams created errors that were difficult to trace and expensive to correct.
Solution. Process automation and validation inside Salesforce replaced the manual steps, with reporting that surfaces exceptions before they reach the customer.
Read the story
“Implementing Salesforce Service Cloud for our healthcare organization was a major undertaking, but with the expertise of mVerve, the transition was seamless.”
Why mVerve
Certified consultants, developers and admins with primary depth in Sales Cloud and Service Cloud, plus CPQ, Marketing and Manufacturing Cloud.
A named lead and a dedicated engineering team from discovery to managed services, not a rotating bench.
Sprint reviews, status reporting and a visible backlog so scope and spend never come as a surprise.
Fixed scope projects, staff augmentation or ongoing managed services, whichever fits how you want to run the programme.
Next step
Questions
Still have a question? A consultant will answer it directly, no discovery deck required.
Ask usConsulting covers CRM strategy and org audit, implementation, customisation and development, data migration, integration with ERP and marketing systems, user training, and ongoing support. mVerve delivers all of these with certified Salesforce consultants and developers.
A focused Sales Cloud or Service Cloud rollout typically runs six to twelve weeks after a one to two week discovery. Multi-cloud programmes with CPQ or heavy ERP integration take longer, and the phased plan is agreed during discovery.
Sales Cloud, Service Cloud, Manufacturing Cloud, Marketing Cloud, Commerce Cloud, Salesforce CPQ, Experience Cloud and the Einstein and Agentforce AI layer.
Yes. Most engagements begin with an org health audit that identifies adoption blockers, automation gaps and data quality issues, followed by a prioritised remediation roadmap rather than a rebuild.
Yes. We implement Einstein predictions, generated summaries and Agentforce agents on top of your own Salesforce data, with the guardrails and permissions your administrators control.
Yes. Certified Salesforce developers are available on short or long term contracts, including sourcing, technical evaluation and guidance on developer fit and salary benchmarks.
Data is mapped, cleansed, deduplicated and validated in a sandbox first, with a documented rollback path and an audit trail, so production cutover happens without data loss or downtime.
mVerve is a software development company headquartered in Bengaluru, India, delivering Salesforce consulting to enterprise clients in the United States, Europe and Asia.
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Advisory work now includes an AI plan for the org: where Einstein and custom models pay back, what data must be cleaned first, and which agents to release in the first quarter.
Field quality, sharing rules, and history reviewed before any model is switched on.
Scoring, summaries, and automation ranked by effort against measurable hours saved.
Prompts, guardrails, and training so users trust what the AI suggests.