Project Name
Agentforce Revenue Management for a Global IT Services Company: Manual Quoting Replaced, Deal Cycles Cut by 40%
A global IT services company managing a large B2B sales operation was running its entire quoting process on Excel spreadsheets, email discount approvals, and manual billing re-entry. Sales reps spent two to four hours building each quote by hand. Discount requests moved through informal email chains with no governance, no authority enforcement, and no audit trail. After a quote was accepted, someone manually re-entered the deal into the billing system, introducing errors and consuming operational time on every closed deal.
The sales team had no AI integration, no pricing automation, and no systematic way to enforce commercial standards across the sales force. Ksolves implemented Agentforce Revenue Management to replace the manual process entirely, delivering AI-assisted quote generation, governed discount approvals, and automated quote-to-cash on the Salesforce platform the company already operated.
- Manual Excel Quoting Creating Slow Deal Cycles: Sales reps built every quote manually in Excel, pulling pricing from spreadsheets, formatting PDFs, managing versions by email, and re-entering order data into the billing system after acceptance. A multi-line quote with custom pricing, bundles, and optional add-ons consumed two to four hours of selling time per deal.
- No Governed Discount Approval Process: Discount requests were approved informally through email without a structured framework, leaving management with no visibility into discount distribution across the sales force, no enforcement of maximum authority levels by role, and no audit trail for commercial pricing decisions.
- Manual Pricing Errors Damaging Deal Confidence: Prices calculated by hand in Excel for tiered, volume-based, or multi-year service structures produced errors at a predictable rate. A quote sent with the wrong price created friction at the most critical stage of the buying cycle.
- Legacy Platform Locking Out AI: With no Agentforce integration roadmap on legacy quoting infrastructure, the company had no path to AI-assisted guided selling, deal intelligence, or autonomous approval routing without migrating to a platform built for it.
- Billing Re-Entry Creating Errors and Revenue Leakage: After every accepted quote, manual re-entry of deal details into the billing system introduced discrepancies between what was quoted and what was billed, generating disputes that consumed the finance team's capacity on every closed deal.
Ksolves implemented Agentforce Revenue Management using a declarative-first approach, maximising native Salesforce capabilities across Pricing Procedures, Advanced Decision Tables, and the Agentforce AI agent layer. Every configuration decision was made to ensure the sales and deal desk teams could manage programme changes independently after go-live without developer involvement.
- Product Catalogue, Pricing Procedures, and Guided Selling: Configured the Agentforce Revenue Management product catalogue with all products, bundles, options, and variants, with Pricing Procedures and Decision Tables replacing the manual Excel pricing process. Guided selling question flows assist reps in selecting the right product configuration, and Agentforce AI agents suggest recommended configurations based on similar winning deals, opportunity attributes, and customer segment history.
- AI-Assisted Quote Generation with Dynamic Pricing: Agentforce AI agents generate first-draft quotes from opportunity context, apply the correct pricing tier for each customer and product configuration automatically, and flag quotes where pricing patterns suggest deal risk. Standard quotes are completed in under 10 minutes. AI agents handle first-draft configurations for complex quotes, cutting rep preparation time by 55% compared to the manual Excel process.
- Discount Governance and Approval Automation: Tiered discount controls were configured with maximum authority by sales role and product category, with hard margin floor guardrails blocking submission below profitability minimums. Agentforce approval agents process standard discount requests autonomously within defined guardrails, escalating only exceptions to human deal desk reviewers with full context, reducing the average approval cycle from a two-day email chain to under six hours.
- Contract Generation, eSignature, and Order Management: One-click branded quote document generation from the Salesforce opportunity record, eSignature delivery via DocuSign, opportunity status updates on signature completion, and quote-to-order conversion that populates the billing system from the accepted quote record without any manual re-entry, closing the quote-to-cash loop without human handoff.
Technology Stack
| Category | Technology |
|---|---|
| Quote-to-Cash Platform | Agentforce Revenue Management |
| AI Quoting and Guidance | Agentforce AI Agents |
| Pricing Governance | Pricing Procedures, Decision Tables |
| Approval Engine | Automated Discount Approval Workflows |
| Integration | Salesforce Sales Cloud, Billing System, DocuSign |
| Analytics | Revenue Intelligence Dashboards |
- 40% Faster Quote Turnaround: Agentforce Revenue Management with AI-assisted quote generation cut quote turnaround time by 40%, replacing a manual Excel process that consumed two to four hours per deal with an automated workflow producing a complete, accurately priced, professionally formatted quote in minutes.
- Approval Cycle from 2 Days to Under 6 Hours: Agentforce approval agents process standard discount requests autonomously within defined authority guardrails, with exceptions routed automatically to deal desk reviewers with full context, reducing the average approval cycle from a two-day email chain to under six hours.
- 55% Reduction in Rep Time on Quote Preparation: AI-assisted quote generation and dynamic pricing rules cut the time sales reps spend preparing quotes by 55%, returning that capacity to pipeline generation and customer engagement.
- 100% of Discount Decisions Logged with Full Audit Trail: Every pricing decision across the sales force is captured in a structured deal desk audit trail, giving management complete real-time visibility into discount distribution and margin attainment for the first time.
- Billing Re-Entry Eliminated Across All Accepted Quotes: Quote-to-order conversion populates the billing system automatically from the accepted quote record, eliminating manual re-entry, removing the source of quote-to-billing discrepancies, and closing the quote-to-cash loop without human handoff.
- Manual Pricing Errors Eliminated: Dynamic pricing rules enforced at the platform layer ensure every quote reflects the correct pricing tier, volume discount, and configuration logic, removing the human calculation error that had previously damaged deal confidence at the point of proposal delivery.
Ksolves delivers Agentforce Revenue Management implementation and Salesforce consulting services for B2B technology and IT services companies, replacing manual quoting processes with AI-assisted, governed quote-to-cash automation.
Before this engagement, the company’s sales team was losing hours per deal to manual quoting, losing deal momentum to two-day approval cycles, and losing revenue to billing re-entry errors on every closed deal. After deploying Agentforce Revenue Management, quote turnaround dropped by 40%, approval cycles fell from two days to under six hours, and the quote-to-cash loop now closes without any manual handoff.
For B2B companies still on legacy Salesforce CPQ, the End of Sale passed in March 2025. The migration is no longer a future decision; every month on legacy CPQ is another month locked out of AI capabilities competitors are already using.
Is Your Sales Team Still Building Quotes in Excel and Approving Discounts by Email?
