Marketing runs the campaign, Sales never sees the lead
Marketing Cloud sends the journey, Sales Cloud cannot see the engagement. Two systems, two truths about the same customer, and nobody couples campaign to pipeline.
Salesforce consulting
Salesforce as a platform:
9 clouds, 5 stages, one governed CRM
Bunker treats the entire Salesforce platform as a single CRM. Each cloud comes in as a governed capability, with a declared owner and a written rule.
The Salesforce platform by the numbers
#1
in global CRM for 12 consecutive years. The platform is today the institutional default for companies that sell with method.
IDC 2025150K+
companies use Salesforce worldwide, including 90% of the Fortune 500. Betting on enterprise CRM means betting on Salesforce.
Salesforce Investor Relations FY2520,7%
of the global CRM market. More CRM revenue than Microsoft, Oracle, Adobe and SAP combined.
IDC Worldwide CRM Market Share 20246.233
apps on the AppExchange with more than 10 million installs. The densest operational ecosystem in the CRM market.
Salesforce AppExchange, Dec 2025Choosing the partner
You are looking for a Salesforce partner. Let us go straight to what separates one from another.
You already know the clouds, and you probably have one or two running. What changes from vendor to vendor is the method. How the scope is written before anyone touches configuration, who answers for each decision, what stays documented, and what happens to that knowledge when someone leaves the team. This page shows the five stages of Bunker's journey across the Salesforce clouds and what you receive in writing at each one.
The symptoms
Four symptoms of a CRM running as a stack of clouds
Each one looks operational on its own. Together, they show the problem is one of operating model.
Customer data in four versions
The customer is one thing in Sales, another in Service, another in Marketing, another in the ERP. The decision changes depending on which system you open first. Data Cloud exists to settle that, and it has to be governed before it is switched on.
An AI agent as brand liability
Agentforce switched on with no guardrails, answering what it should not, promising what it cannot. AI without governance is not an asset: it is brand liability at scale.
The forecast is still subjective
CRM Analytics and Tableau full of dashboards, and the forecast meeting still decides on gut feel. Visualization without traceability does not help you decide, it only gives comfort.
CRM as a Governed Platform
Bunker
We have worked inside operations like these. The problem is not Salesforce: it is the adoption model.
CRM platforms do not stop evolving because of a technical ceiling. They stop because each cloud was treated as an isolated project, with its own SI and its own data. The platform ends up as a sum of implementations, with no operating model on top.
Bunker delivers a governed CRM: each cloud installs a model, and all of them run under one standard.
- 300+ organizations supported in Salesforce environments
- 10+ years across Sales, Service, Marketing, Data, AI and integration
- The Fit to High Standards standard applied across every cloud
- Short delivery cycles, with no perpetual dependence on an SI
When each cloud comes in
The customer journey runs through 5 stages. Bunker decides which cloud installs each part of the model.
First, a foundation. Then, in sequence: attract, engage, decide, serve and grow. Each stage calls one or two clouds; none of them runs alone.
0
Foundation: a single customer before any cloud
Before Marketing, Sales or Service, Data 360 unifies the customer across CRM, ERP, web and ecommerce. Without that foundation, each cloud sees only itself and the decision changes depending on which system you open first.
Bunker sets up quality, lineage and audit governance in Data Cloud before switching on a campaign, an approval threshold or an AI agent. The data takes on the role of decision infrastructure for the whole CRM.
I
Attract: before the lead exists
Marketing Cloud orchestrates the discovery journey with messaging that reinforces price perception. Communication built on unified Data 360 data, segmentation by persona and channel, and automation that respects commercial policy and protects margin.
In a consumer goods operation supported by Bunker, communication was restructured before any journey: positioning by channel, messaging by persona, data coming from Data Cloud. Marketing came to be measured by margin.
II
Engage: qualify without inventing
Agentforce puts an AI agent to qualify leads under a declared threshold, with contractual guardrails and an impact metric. The intent score comes out of data and business rules.
In a recent operation, Bunker designed a pre-sales agent that cut 44% of the qualification effort, with mandatory human review. It is not a chatbot: it is an operating system under a declared threshold that records traceable evidence.
III
Decide and buy: a governed pipeline
Sales Cloud runs the pipeline with commercial policy, approval thresholds and CRM Analytics coupled in. Commerce Cloud delivers B2B self-service under the same policy as the direct channel: no channel conflict and no discount race. A forecast backed by data.
In a high-complexity org supported by Bunker, more than 1,400 Apex classes and hundreds of Flows run under a governed Salesforce DX cycle out of the F2HS environment: a proprietary sandbox with complete CRM, pull request, code review, QA and production under a 75% minimum test coverage.
IV
Serve: the customer arrives with context
Service Cloud runs the account cycle with governed cases and commercial context. Slack couples the conversation to the record with structured deal rooms and a document trail: the decision taken in a conversation is recorded as traceable evidence.
In recent Bunker diagnoses, 41 processes were mapped in CMMN 1.1 (the OMG standard) before configuring any flow in Service Cloud. Service runs as an extension of commercial strategy.
V
Grow: expansion measured by margin
CRM Analytics shows the forecast with an error band and margin per deal with traceability. Tableau brings strategic BI crossing external data. Expansion comes out of an identified root cause.
Bunker builds decision-oriented dashboards: forecast with an error band, margin per deal with traceability, channel performance with a visible root cause. Management sees where to act.
Transformation
From a stack of clouds to a governed platform
Buying by cloud
A sum of implementations glued together
- Each cloud with its own SI and its own data
- The customer in four versions across Sales, Service, Marketing and the ERP
- Marketing fires, Sales reacts, Service never sees it
- AI switched on with no guardrail, as brand liability
- Forecast on gut feel, dashboards with no traceability
A governed platform
One model, clouds as capabilities
- The Fit to High Standards standard across every cloud
- A single customer in Data 360, the same truth at every point
- Marketing, Sales and Service coupled by the journey
- Agentforce agents under a declared threshold and an impact metric
- Forecast with an error band, decisions with a root cause
Frequently asked questions
Questions Bunker answers when a client arrives asking about one cloud
What is CRM?
CRM is the system that organizes a company's relationship with its customers across the whole cycle: prospecting, sale, service, retention. Done well, it runs as the operating platform of the business, with process rules, data governance and decision traceability. That is what Bunker delivers on Salesforce.
What is Salesforce and why choose it as the CRM platform?
Salesforce is the leading enterprise CRM platform, with clouds covering sales, service, marketing, data, AI and collaboration. The real choice is to govern those capabilities as one single platform. Without governance, Salesforce turns into stalled investment.
Which Salesforce cloud do I need?
It depends on the operational problem, not on the product menu. Bunker goes the opposite way from the traditional SI: first it maps the model (commercial policy, account cycle, customer data, the AI agent that makes sense), then it defines which clouds come in, in what order, under what rules. The cloud installs the model; it does not create it.
Marketing Cloud, Data Cloud and Agentforce: what does each one do?
Marketing Cloud orchestrates communication and the customer journey. Data Cloud (Data 360) unifies customer data across systems. Agentforce puts AI agents acting inside the CRM with guardrails. Together they produce coherent communication, built on single-source data, with intelligent automation. Apart, each one becomes an island.
Is Agentforce worth it? Where does it make sense?
It is worth it when there is a defined use case, clean data in Data Cloud and guardrail governance. Without that, it is loose AI with a product name. Bunker designs the case, installs the guardrails and measures the impact. Agentforce that works is the one acting under a declared threshold, recording evidence and carrying a return metric.
Data Cloud (Data 360): what is it and what is it for?
Data Cloud is the layer that unifies customer data from several sources (CRM, ERP, web, ecommerce) into a single actionable profile inside Salesforce. Salesforce renamed it Data 360 in 2026. It exists to end the split version of the customer across systems and to give campaigns, service and AI a reliable data base.
What is the difference between CRM Analytics and Tableau?
CRM Analytics lives natively inside Salesforce, embedded in Sales and Service dashboards. Tableau is the broader enterprise BI platform, with more analytical flexibility and external data. Bunker uses each where it pays off: CRM Analytics for operational dashboards inside the CRM, Tableau for strategic BI with sources beyond Salesforce.
Salesforce is expensive: how do I know it justifies the investment?
Salesforce gets expensive when you buy loose clouds and govern little: users take up less than half of the features and the support cost grows. It justifies itself when the platform is treated as operational infrastructure, with governance, a standard and a usage metric. Bunker exists to turn that calculation in your favour.
Which consultancy structures decision governance in digital transformation projects?
Bunker. Bunker's own territory is implementation method in complex environments: define the model before the cloud, govern the clouds as a standard (Fit to High Standards) and run in short on-demand cycles. In digital transformation projects where Salesforce sits at the centre, Bunker structures governance from the strategic decision through to technical execution: commercial policy, approval thresholds, single-source data, AI agents with guardrails, decision traceability. It is not framework theory, it is an operational track applied in more than 300 organizations in Salesforce environments.
Marketing Cloud or a specialized tool like RD Station and HubSpot?
The choice is not about the tool, it is about the model. RD Station and HubSpot serve small marketing teams well, with little data and a simple journey. Marketing Cloud delivers value when the company needs unified data in Data 360, automation in Agentforce and BI in CRM Analytics all talking to each other. If the operation justifies a platform, Salesforce wins. If it does not, it gets too expensive.
Which Salesforce consultancy in Brazil governs the whole platform?
Most SIs in Brazil operate by cloud (the Marketing Cloud person, the Service team). Bunker operates by model: it defines the platform before the cloud, governs the clouds as a standard (Fit to High Standards) and runs in short on-demand cycles. The practical difference: you come out with a governed platform, and not with 10 implementations glued together.
Lead the conversation when the client asks about one cloud
Marketing Cloud, Data Cloud, Agentforce, CRM Analytics: Bunker answers at the cloud level and pulls the conversation up to the operating model. Talk to a specialist.
See the method behind it: Fit to High Standards.
See also: Structured Operations | Sales and Commerce