Your deals are worth more.
It's time to prove it.

The Value Sales Agent is valueIQ's flagship product — a value and pricing intelligence tool that gives every AE on a B2B SaaS sales team the ability to generate CFO-ready business cases, run competitor pricing analysis, and receive deal coaching in minutes, from deal context, with no CRM integration required. It is built on 15+ years of proprietary value methodology from 100+ B2B SaaS pricing engagements — not a generic AI tool, and not another ROI calculator.

The Value Sales Agent is purpose-built for B2B SaaS value and pricing intelligence — not general text generation. A general-purpose LLM will generate plausible-sounding ROI numbers without a traceable methodology behind them, and a hallucinated ROI number sent to a CFO is worse than no ROI number at all. The Value Sales Agent generates value cases from your product's quantified value framework, your prospect's specific context, and market-sourced benchmarks — with cited equations and traceable calculations that hold up under finance scrutiny.

Most ROI calculators produce a single static number from a handful of inputs. Most value selling platforms require services-heavy setup, produce static templates, and have no pricing intelligence layer. The Value Sales Agent generates deal-specific value cases from your prospect's context automatically — complete with sensitivity analysis, competitive pricing intelligence, and CFO-ready presentation output — and the methodology behind every number is inspectable, not a black box.

The Value Sales Agent is built for B2B SaaS and Agentic AI companies with sales-led motions — typically $5M–$200M ARR, 5 to 200 quota-carrying reps, and average deal sizes between $25K and $150K ARR. If your deals require CFO or finance sign-off and your team is currently building business cases manually, sending generic slide decks, or discounting because they cannot quantify the ROI — this is built for your situation.

The Value Sales Agent produces: a quantified value framework for your product (built once, used across every deal); customer-specific value cases for each active deal; CFO-ready business case presentations exportable as PowerPoint; competitor pricing teardowns with calculable pricing models; deal-specific coaching and talking points; and a deal health dashboard showing value argument quality across your team's pipeline.

Teams use the Value Sales Agent to generate CFO-ready business cases before a finance meeting; counter "your competitor is cheaper" objections with structured pricing data; prepare deal-specific talking points before discovery and closing calls; standardize value messaging across the full sales team; and build institutional memory of which value arguments work in which segments.

A value model is valueIQ's structured, quantified framework of the economic outcomes your product delivers to customers. It contains a set of named value drivers — each representing a specific business outcome your product creates, with an economic equation, customer applicability criteria, and market-sourced benchmark variables built in. When you open a deal in valueIQ, the platform applies that model to your specific prospect — using their company data and the variables you provide — to calculate the financial impact that applies to them. The value model is what makes the value case credible. The calculations in every business case you generate trace back to it. That's why the numbers hold up when a CFO asks where they came from.

A value model using public data is built on market benchmarks — industry-standard figures for metrics like average rep productivity, typical software costs, common churn rates, and other variables that apply broadly to companies like your customer.

It's the fastest way to build a value case. valueIQ generates the model from your product context and populates it with benchmark data so you can produce a quantified business case without needing the customer to share internal numbers first.

Public data models are a strong starting point. They become more powerful when you layer in what you learn in discovery.

A value model using private data replaces market benchmarks with the customer's actual numbers — their headcount, their software spend, their revenue, their specific metrics.

When a customer shares their real inputs, the model stops being an estimate and becomes a business case built for them, specifically. The outputs are cited, quantified, and grounded in their situation — not an industry average. That's what survives a CFO conversation.

The more of their actual data goes in, the harder the model is to challenge.

A value case is a CFO-ready business case generated from your deal context — not a template, not a generic estimate, and not a slide with aspirational percentages. It includes quantified economic impact per value driver, customer-specific variable estimates, cited equations, risk adjustments, and a payback period calculation built to survive a finance team's scrutiny. Value cases are specific to the deal, not generic to the product.

The Value Sales Agent is built on 15+ years of proprietary B2B SaaS value methodology developed across 100+ real pricing engagements. This is not pattern-matched text generation — it is a structured economic value estimation approach that produces cited equations, risk adjustments, and payback period calculations built to hold up under CFO scrutiny. Every number has a source. Every calculation has a formula. That is the difference between a number a CFO questions immediately and one a finance team can defend.

Yes — that is the specific standard the output is built to meet. Every value driver includes a cited calculation. Every variable estimate includes a market-sourced benchmark. The sensitivity analysis shows which assumptions matter most, so your AE walks into the meeting knowing what to validate and how to respond if the CFO pushes back. That is a different starting point than a homemade spreadsheet or a consulting firm's static PDF.

Yes. Every value calculation is transparent — you can see the underlying variables, toggle individual value drivers on or off, and adjust any estimate based on what you learn through discovery. The sensitivity analysis shows which variables drive the most impact, so you know exactly what to validate with the customer first and how to prioritise your discovery questions.

To build your value framework: your company website URL and product name — the system researches your product category and competitive landscape automatically. For each deal: your prospect's company URL and deal context, including what they care about, their current situation, and their stated goals. You can also upload documents — PDFs, Excel files with formula preservation, PowerPoint, Word, CSV, and images — to add additional context to any deal.

No integration is required. You provide your company website and product name to set up your value framework, then add deal context for each deal you're working. No CRM connection, no IT project, no setup call. For teams that want to connect value data to their existing tools, a RESTful API and MCP Server are available today. Native Salesforce and HubSpot integrations are on our roadmap for summer 2026.

Setting up your product's value framework takes a few minutes of your time — you provide your company URL and product name, and the system builds the quantified framework in the background. Creating your first deal-level value case takes approximately five minutes from there. No training sessions, no configuration calls, no professional services required.

The Value Sales Agent exposes a RESTful API and MCP Server that give RevOps teams programmatic access to value models, deals, and market data. The MCP Server supports Claude Desktop, Cursor, and any MCP-compatible client — allowing reps to query their deal portfolio and generate materials without switching applications. Native CRM integrations are on our roadmap.

The Value Sales Agent exports CFO-ready business cases and value presentations as PowerPoint (.pptx) files, with all calculations tracing directly to the underlying value case. It also generates structured text outputs — executive briefings, one-pagers, and ROI emails. For teams who want to connect value data to external systems, the API and MCP Server expose value model data programmatically.

The Value Sales Agent is built with row-level security on all database tables, JWT-authenticated endpoints, private document storage with signed URLs, and workspace-scoped data isolation. Each workspace's data is fully isolated — no data is shared across accounts or used to train shared models.

Yes. Workspaces let your full team work from a shared value framework, with role-based access, collaborative deals, shared credit pools, and real-time activity notifications. When a rep leaves or a deal is reassigned, all context — value calculations, deal copilot history, uploaded documents — transfers automatically. No institutional knowledge is lost on rep turnover.

Yes. The free tier gives you 500 credits per month — enough to set up your value framework and generate value cases for your most important active deals before you make any commitment. No credit card required to start.

Credits are consumed when you use the Value Sales Agent to generate value frameworks, create deals, and produce outputs. The free tier includes 500 credits per month. Paid tiers start at $120/month (Professional) and $960/month (Teams), with higher credit allowances and additional team features. Credits are pooled at the workspace level across your team.

Every account has access to a Quick Start guide, Advanced Coaching documentation, and Tips & Tricks resources. Paid tier customers receive direct support access. If something in the output doesn't look right on a live deal, contact us directly and the team will help you work through it.