A U.S.-based enterprise cybersecurity software provider serving highly regulated industries relied on customized proposals to support enterprise sales opportunities. Each proposal combined technical solution details, commercial pricing, compliance documentation, and customer-specific implementation plans, requiring collaboration across Sales, Solutions Engineering, Finance, and Legal before it could be shared with prospects.
Brainium was engaged to redesign the assistant around the proposal workflow rather than the language model itself - creating a context-aware AI sales assistant capable of retrieving approved business information, assembling proposal content from multiple enterprise systems, and supporting existing review and approval processes.
During the discovery phase, Brainium mapped the client's proposal lifecycle from opportunity creation in Salesforce through internal review and customer submission. Workshops with Sales, Solutions Engineering, Finance, Legal, and RevOps revealed that the biggest delays occurred while teams gathered information, validated business data, and coordinated reviews across multiple systems.
Preparing a proposal required account executives to gather information from Confluence, Salesforce CPQ, SharePoint, previous proposals, and email threads. Since each repository was maintained independently, sales teams spent significant time locating and validating approved content before drafting proposals.
Every proposal required sequential reviews from Sales, Solutions Engineering, Finance, Legal, and Security. Changes to pricing, compliance responses, or implementation details were coordinated through email and Microsoft Teams, slowing proposal turnaround despite automated drafting.
The AI assistant generated proposal content but lacked access to live CRM data, pricing rules, product configurations, implementation scope, and customer-specific compliance requirements. Pricing, legal clauses, security responses, and commercial terms therefore required manual validation before approval.
Because proposal activities were spread across multiple systems, teams couldn't accurately track retrieval time, review cycles, approval delays, or revision effort, making recurring workflow bottlenecks difficult to identify or improve.
Rather than replacing the existing AI model, Brainium redesigned the proposal workflow to reduce manual effort and improve information retrieval, validation, and document assembly.
Documented the complete proposal lifecycle across Sales, RevOps, Solutions Engineering, Finance, and Legal, identifying approval dependencies, information sources, and review stages.
Automatically assembled CRM opportunity data, product selections, pricing, implementation scope, customer profile, and approved proposal content before generating proposal drafts.
Retrieved approved proposal components, including solution descriptions, pricing tables, compliance responses, customer references, and implementation plans, instead of relying on full-document searches.
Structured the workflow into content generation, pricing and compliance validation, human review, and final document generation to preserve existing approval processes.
Existing integrations were retained, with orchestration added between Salesforce CRM, CPQ, SharePoint, and Confluence to eliminate duplicate proposal assembly.
The solution transformed the existing AI proposal assistant into a workflow-aware system by connecting business data, approved proposal content, and enterprise review processes.
Unified CRM opportunities, pricing, customer profiles, product configurations, and implementation scope. Eliminated manual context gathering before proposal generation.
Retrieved approved proposal components from SharePoint and Confluence. Standardized solution descriptions, pricing, compliance content, and legal clauses.
Validated pricing, discount rules, compliance mappings, and legal content. Preserved existing business approval rules.
Routed proposals to the appropriate business teams based on approval requirements. Reduced manual coordination across Sales, Finance, Legal, and Solutions Engineering.
Tracked proposal turnaround, approvals, revisions, content reuse, and assistant adoption. Improved visibility into proposal workflow performance.
Rolled out initially for new enterprise opportunities before expanding to renewal proposals. Maintained existing approval workflows to minimize operational disruption.
The redesigned proposal workflow improved proposal delivery, reduced manual effort, and increased adoption of the AI assistant across enterprise sales teams.
Reduced average first-draft preparation time from 8 hours to 2.5 hours.
Increased weekly proposal output without expanding proposal support teams.
Reduced post-generation proposal edits through standardized retrieval and business validation.
Increased reuse of approved proposal components from 38% to 84%.
Reduced proposal approval time through automated review routing.
Weekly usage among account executives increased within four months.
Enterprise proposal workflows rarely slow down because of the language model alone. More often, delays stem from disconnected business systems, fragmented knowledge, manual validation, and cross-functional approval processes that surround proposal generation.
In this engagement, Brainium addressed these operational bottlenecks by redesigning the proposal workflow around business context rather than replacing the underlying AI model. The implementation was rolled out in phases, beginning with standard enterprise proposals before expanding to renewal and upsell opportunities after internal validation.
By connecting enterprise systems, standardizing information retrieval, and streamlining validation and approvals, Brainium helped the client transform its AI proposal assistant into a dependable part of the enterprise sales process, delivering faster turnaround, greater consistency, and measurable operational improvements.
Whether you need AI workflow optimization, legacy modernization, or custom software development, Brainium delivers measurable outcomes.