MCP v0.1.5 Maps Natural Language to Configured Sales Terminology

Los Angeles – Enterprise revenue teams continue to face a persistent execution gap. CRM platforms store deal data but offer little guidance on how sellers should act on it. Account plans remain disconnected from pipeline reality, AI-generated recommendations surface without reference to the structured sales processes an organization has defined, and agent outputs default to generic terminology that conflicts with the frameworks revenue teams actually follow. The result is guidance sellers cannot trust and a growing distance between revenue strategy and field execution.

Altify, the creator of the Strategic Revenue Execution category and the Salesforce-native platform built for enterprise B2B sales, has announced the release of Altify MCP v0.1.5. The update represents a significant expansion of Altify’s Model Context Protocol capabilities, introducing new AI agent functionality across three areas: Account Planning, Sales Process Manager, and Sales Methodology.

These enhancements give sellers, sales managers, and AI agents deeper, more consistent, and more actionable access to the account and opportunity data that drives revenue execution inside Salesforce. MCP, or Model Context Protocol, is the integration layer that allows AI agents to read and act on structured Salesforce data through natural language. With v0.1.5, the scope of what agents can access inside Altify’s Salesforce-native platform expands materially – agents can now assess account health across a full portfolio, read qualifiers and closure probabilities for individual opportunities, and align every output to the sales methodology the organization has configured.

Account Planning: From Static Plans to Active Intelligence

The v0.1.5 release introduces a suite of account planning capabilities that enable AI agents to assess, analyze, and act on account plan data across four dimensions: Account Health, Account Assessment, Account Insights, and Account Review.

Account Health

Gives sellers and managers a portfolio-level view of their accounts’ standing. Understanding account health across a full set of accounts previously required manual review of each plan individually. A seller can now ask the agent which accounts need attention and receive a structured summary scored against a consistent set of health signals – including data completeness, engagement consistency, objective linkage, and relationship coverage. The agent returns a prioritized list of where to focus account planning effort, generated in a single request rather than assembled across multiple records.

Account Assessment

Goes deeper into individual accounts by running two complementary analyses simultaneously. The first examines the account plan itself – reviewing the relationship map, insight map, account details, and objectives and actions to surface specific gaps, risks, and areas requiring attention. The second extends the analysis across all opportunities linked to the account, drawing on existing opportunity data to identify deal-level risks and produce prioritized recommendations across the full pipeline.

Together, these two lenses give sellers and managers a comprehensive view of an account’s strategic position without requiring them to switch between plan sections or opportunity records. A seller can submit a single request and receive a structured, prioritized assessment covering both the plan and the pipeline.

Account Insights

Connects the strategic account planning process directly to solution recommendations. Rather than generating generic suggestions, the agent anchors its output in the specific pressures, initiatives, and opportunities recorded in the account’s Insight Map. A seller can ask which solutions address a customer’s confirmed pressures and receive recommendations that trace directly back to what has been captured in the plan, making the output immediately relevant to the actual customer conversation.

Account Review

Introduces AI-assisted preparation for the key activities involved in reviewing an account plan. The agent can identify gaps and vulnerabilities in a plan, analyze account-level actions to flag what is at risk or overdue, and generate coaching material for an upcoming Test & Improve session. For Chief Revenue Officers and sales managers, the Test & Improve preparation capability structures the review conversation around the most critical areas of the plan, rather than relying on the presenter to surface them.

Sales Process Manager: Grounding Agent Guidance in Structured Process Data

The Sales Process Manager module receives its first MCP read capabilities in this release, closing a gap that previously caused agent-generated opportunity guidance to be disconnected from the structured process the seller was following. The AI agent can now read the full Sales Process Manager data associated with any opportunity that has a sales process assigned.

In a single operation, the agent retrieves the assigned sales process and current stage, the complete list of qualifiers and verifiable outcomes across all stages – including each qualifier’s importance weighting and current state – and the opportunity’s closure probability score. The closure probability calculation uses the same formula as the Altify Sales Process Manager page, so the value the agent surfaces always matches what the seller sees when reviewing the opportunity directly.

This consistency matters in practice. A discrepancy between what the agent reports and what the seller sees in Salesforce creates confusion rather than clarity, and in complex enterprise deals, that friction compounds quickly. The agent can also retrieve a list of all active sales processes configured in the organization, which is useful when sellers need to determine which process is most appropriate for a given opportunity before one has been assigned.

Previously, agent recommendations for opportunity qualification were generated without access to the structured qualifiers and stage criteria that define the actual sales process. With v0.1.5, every agent recommendation can be grounded in the process data the seller works with every day.

Sales Methodology: Consistent Alignment Across All MCP Capabilities

The third area of the v0.1.5 release addresses a fundamental consistency requirement for enterprise deployments: ensuring that AI agent outputs reflect the terminology and framework the organization has configured, not Altify’s defaults. All Altify MCP capabilities now honor the sales methodology configured for the organization.

With this release, every capability – spanning analysis, assessment, call plans, vulnerability analysis, recommendations, next best actions, questions, action commentary, and account plan capabilities – draws on the organization’s configured customization settings when generating its output. The framework supports Altify’s native methodology, MEDDIC, and entirely homegrown variants.

“Enterprise revenue teams perform at their highest level when every part of their execution system reinforces the same methodology,” said Nigel Cullington, Chief Marketing Officer, Altify. “With MCP v0.1.5, AI agent outputs now reflect the exact framework, terminology, and process structure that each organization has built, so sellers receive guidance that aligns with how they actually work, not how a default system assumes they work. That consistency is what separates genuine revenue execution from fragmented, transactional activity.”

Administrators configure custom terminology, preferred frameworks, and behavioral guidance through Salesforce customization records. No code changes or redeployment are required, and changes take effect immediately for subsequent agent interactions. The behavioral impact extends beyond terminology substitution. If a seller refers to their “org chart” rather than their “relationship map,” or uses “next steps” instead of “actions,” the agent maps the natural-language intent to the correct system concept and responds accordingly. Sellers are not required to learn Altify’s internal terminology – the platform adapts to the language they already use.

For organizations that have invested in building a customer-centric selling framework, this ensures that every agent output reinforces that methodology consistently across call plans, account reviews, and opportunity assessments, rather than producing responses that conflict with the framework the revenue team actually follows.

Availability

Altify MCP v0.1.5 is available now. Documentation for the methodology customization framework is available under Methodology Customization for Altify MCP in the Altify online help. An updated list of the five Altify MCP servers and their capabilities is also available in the Altify online help.

About Altify

Altify is the creator of the Strategic Revenue Execution category and the Salesforce-native platform built for enterprise B2B sales environments. For over two decades, Altify has combined software, proven sales methodology, and strategic guidance to help revenue teams navigate complex sales cycles, improve deal qualification, and drive predictable growth. By embedding structured execution frameworks directly into the flow of work inside Salesforce, Altify transforms the way the world sells.

To learn more, visit altify.com.

Contact Information:

Altify

10100 Santa Monica Blvd
Los Angeles, California 90067
United States

Andrea Alvarez
+1 00000000000
https://altify.com