﻿# Talkulate AI CPQ — text overview

**Product URL:** https://r-sun.ai/products/talkulate-ai-cpq  
**Last reviewed:** 2026-08-18  

1. [What is Talkulate AI CPQ](#1-what-is-talkulate-ai-cpq)  
   - [1.1 How it works and why](#11-how-it-works-and-why)  
   - [1.2 Benefits](#12-benefits)  
   - [1.3 Video](#13-video)  
   - [1.4 Server reseller case](#14-server-reseller-case)  
   - [1.5 Differences from other CPQ](#15-differences-from-other-cpq)  
   - [1.6 Industries](#16-industries)  
2. [Product features](#2-product-features)  
   - [2.1 Overview](#21-overview)  
   - [2.2 Architecture](#22-architecture)  
   - [2.3 Input & output](#23-input--output)  
   - [2.4 Catalog & pricing](#24-catalog--pricing)  
   - [2.5 Upsell](#25-upsell)  
   - [2.6 Integrations](#26-integrations)  
   - [2.7 Security](#27-security)  
   - [2.8 Analytics / governance](#28-analytics--governance)  
   - [2.9 Scope](#29-scope)  
3. [What's included and prices](#3-whats-included-and-prices)  
4. [ROI calculator and contact](#4-roi-calculator-and-contact)  
   - [4.1 Calculate your ROI](#41-calculate-your-roi)  
   - [4.2 Contact / discuss](#42-contact--discuss)  

---

## 1. What is Talkulate AI CPQ

Talkulate AI CPQ is a modular system for revenue teams (marketing, sales, presales). On the vendor’s site it runs discovery → valid configuration → commercial proposal in one flow: the buyer describes a business job in plain language and gets a validated quote + BOM + proposal (about 5 minutes for standard configs), while the vendor gets a CRM-ready lead.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq

### 1.1 How it works and why

Buyers arrive with a job (“equip 50 people”, “warehouse CCTV”), not a SKU list. The classic path is sales → engineer → emails → more questions → internal approvals → revisions → proposal days later. Buyers are not ready for that loop when they are still in discovery or shortlisting **5+ suppliers**. Talkulate puts discovery, valid configuration, and the commercial proposal on the vendor site in one continuous flow, and shortens that multi-day cycle to about **5 minutes** for standard configurations.

**How it works**

1. Buyer describes the job in plain language (no catalog browsing first).
2. **Interview module** runs a structured interview: clarifying questions, adaptive follow-ups, industry language. It has **no** access to catalog or pricing.
3. **Validation module** reads the live catalog, compatibility rules, and pricing; builds a valid configuration. It never chats with the buyer.
4. Output: validated **quote + BOM + commercial proposal**. Invalid combinations are blocked before pricing. If a line cannot be validated, the session escalates with full context (the buyer’s job, the dialogue, and the provisional state of the quote) via email, CRM, or phone, and ends cleanly. There is **no** live human takeover inside the chat widget.

Interview and catalog access stay in **two separate modules**, with a **firewall** between them: buyer dialogue cannot reach the catalog, and the catalog module never talks to the buyer. That split blocks prompt-injection and catalog-exposure attacks on the quoting path and keeps validation deterministic. Quotes are checked against the live database, not invented from model memory.

Same engine can power self-serve on the site, structured RFQ intake, or sales-led conversations. Extra modules connect the same way: RFQ/RFP document analysis, CRM/ERP handoff, the vendor’s PIM, and similar systems.

**What it is not**

- Classic CPQ that only prices after requirements were collected elsewhere
- An option-tree configurator where the buyer finishes picking parts and exports a PDF
- A chat overlay that invents SKUs or prices from model memory

**Who it fits**

Catalogs with real selection rules (compatibility, power, slots, certifications, “does A fit B”). Physical products, services, and hybrids. B2B and B2C use the same engine; the interview persona adapts. Any industry, if selection rules and the catalog can be digitized. Complexity is the logic connecting products, not SKU count alone.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq (`#guided-selling`, `#cpq-engine`, `#validation`)

### 1.2 Benefits

**For the buyer**

- Validated quote + BOM + commercial proposal in about **5 minutes** on standard configs
- Can get a proposal without waiting for a sales call or engineer queue

**For the vendor**

- Higher site conversion: the buyer leaves with a quote while still on the site
- Lower routine load on Sales and Presales; more quotes without linear growth in headcount
- Faster response on inbound demand, including when the buyer is shortlisting several suppliers
- Buyers see that the catalog and quoting are digitized, which raises perceived trust and professionalism
- CRM-ready lead with specs and conversation context
- Upsell captured in the same quote when conversation signals match encoded rules

Learn more on https://r-sun.ai/products/talkulate-ai-cpq#outcomes

To size the impact on your funnel, team cost, and deal size, run the calculator with your own numbers (no email to start): https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator

### 1.3 Video

A short (~2 minute) product demo on the hub. It shows the buyer-facing flow in action: plain-language interview → validated configuration → quote, in the context of a US server reseller catalog.

Watch on https://r-sun.ai/products/talkulate-ai-cpq#real-case

### 1.4 Server reseller case

US server reseller: **3,400 SKUs**, **12** account managers. Quote cycle **1–2 days → 15 min**; first-pass accuracy **76% → 100%**; quote volume capacity **+340%**. Five-week rollout after switching to two separate modules plus live catalog validation (similarity search alone still left about one in four quotes needing an engineer).

Full case: https://r-sun.ai/cases/talkulate-ai-cpq-server-reseller

### 1.5 Differences from other CPQ

Most enterprise CPQ (Salesforce CPQ, SAP, Oracle, Conga, and similar) is a **rep console**: configuration and pricing after requirements were collected elsewhere (calls, emails, forms). Talkulate is the **buyer-facing front door**: discovery, valid configuration, and quote happen on the vendor site, before a specialist joins.

Incumbents stay strong on CRM-native governance, subscription billing, and ERP-native quoting. What they usually put in front of the buyer is a **product configurator** (option trees, SKU picking, PDF export) or a rep desk that prices after discovery happened off-site. Talkulate is built for catalogs with compatibility rules, white-label embed, dedicated deployment (not multi-tenant SaaS), and a weeks-scale rollout.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/comparisons (Salesforce CPQ, Salesforce Revenue Cloud, SAP CPQ, Oracle CPQ, Conga, PROS/Conga, DealHub, HubSpot, Zuora). Hub comparison lens: https://r-sun.ai/products/talkulate-ai-cpq#different

### 1.6 Industries

Baseline list of published industry pages. Same engine; catalog and rules change per vertical. If your process is not on this list, we can walk through the business process and implementation with you: hi@r-sun.ai.

Hub accordion: https://r-sun.ai/products/talkulate-ai-cpq#use-cases

- Servers: https://r-sun.ai/products/talkulate-ai-cpq/industry/servers
- Hosting: https://r-sun.ai/products/talkulate-ai-cpq/industry/hosting
- Automotive: https://r-sun.ai/products/talkulate-ai-cpq/industry/automotive
- Telecom: https://r-sun.ai/products/talkulate-ai-cpq/industry/telecom
- Energy: https://r-sun.ai/products/talkulate-ai-cpq/industry/energy
- Retail: https://r-sun.ai/products/talkulate-ai-cpq/industry/retail
- FinTech & Insurance: https://r-sun.ai/products/talkulate-ai-cpq/industry/fintech
- MRO & Industrial Parts: https://r-sun.ai/products/talkulate-ai-cpq/industry/mro

---


## 2. Product features

What each capability does in a standard implementation, and how a validated quote is produced. Full reference: https://r-sun.ai/products/talkulate-ai-cpq/features

### 2.1 Overview

Three jobs on the same engine.

**AI Guided Selling.** AI runs the interview the way an experienced sales manager and presales engineer would: clarifying questions, real and hidden requirements, a business problem turned into technical requirements. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/ai-guided-selling-software

**RFQ / RFP automation.** Supplier-side response to structured quote requests: catalog-validated pricing and answers, without re-keying PDF attachments. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/rfq-automation-software

**Quote and BOM automation.** Live-catalog configuration, pricing, bill of materials, and commercial proposal in one output. Learn more on https://r-sun.ai/products/talkulate-ai-cpq/sales-bom-automation

Self-quoting: the buyer does not need SKUs. They describe the job in plain language (examples: equip meeting rooms for 150 employees; warehouse video surveillance; modernize server infrastructure). The system runs a structured dialogue, then selects compatible components, verifies compatibility, builds the BOM, prices, and prepares the proposal. Standard configurations: ready proposal in about **5 minutes**.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#what-is

### 2.2 Architecture

Two separate modules sit above a governed catalog. The **interview module** runs the buyer dialogue (structured interview, adaptive follow-ups) and has **no** access to catalog or pricing. The **validation module** queries live components, rules, and pricing, builds the configuration, and never talks to the buyer. Invalid combinations never reach the quote. The **interface** is a separate environment: website widget, JS snippet, or embed; the same modules can run through other chat surfaces, including messengers, when that channel is part of the project.

Interview and catalog access run in separate processes, with a **firewall** between them: buyer dialogue cannot reach the catalog, and the catalog module never talks to the buyer. The quoting path is not open to prompt-injection or catalog-exposure attacks; validation stays deterministic. That split is also how the product stays flexible to adapt, accurate in the conversation flow and in component selection, and cheaper and faster to implement than a single coupled stack. Interview (tone, language, path, channel) can change without touching compatibility rules; rules and prices can change without rewriting the dialogue.

**Governed catalog** (the validation module reads it at quote time; admin updates without redeploying the modules):

- Component catalog: live SKUs, attributes, supersession chains, BOM structures
- Compatibility rules: power, slots, protocol, certifications, interdependencies
- Pricing configuration: tiers, bundles, regional lists, discount rules

SKU, rule, and price changes live in this config, not in model weights. The next quote uses the new data. There is no retraining step. Where the vendor already has a catalog source of truth (PIM, ERP, product DB), Talkulate syncs from it into this governed layer; the source system stays the master. If there is no structured catalog yet, one is built during implementation (priced as extra work).

**Modularity.** Same validation engine under self-serve on the site, structured RFQ, or sales-led conversations (compose per channel). Further modules plug in the same way: RFQ/RFP document analysis, CRM/ERP, the vendor’s PIM, and similar systems. Optional: one deployment with separate flows or brands for different product lines (for example hardware vs services), planned as a larger implementation. Grow by steps (upsell rules, integrations, new categories, deeper UI).

**Customize / extend / integrate** (mostly co-designed in implementation): brand kit and white-label; interview tone, paths, languages; rules with your team. Extend: extra upsell mechanics, API and own front end, advanced UI. Integrate: website embed; CRM/ERP via API, webhook, middleware, or exports; PIM and catalog sources.

**Deployment:** dedicated isolated cloud or on-prem instance loaded with the customer’s catalog, rules, and pricing. Not multi-tenant SaaS: one customer’s catalog, rules, and conversations are not in a shared pool. On-prem follows the same isolation inside the customer’s perimeter.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#architecture

### 2.3 Input & output

**Input (standard):** text dialogue, multi-language interface and conversation. The buyer describes the job; they do not browse SKUs first.

**Input (can be added):** photo and document upload, depending on the logic required. Voice conversation can be added when the channel needs it. Extra artifacts in the interview (explanations, illustrations) are priced separately.

**Output:** a validated **quote + BOM + commercial proposal**. For standard configurations the path from first message to that packet is about **5 minutes**; more complex interviews take longer, still in minutes. Building the BOM/quote itself is milliseconds; interview depth drives the clock.

**Additional outputs** (added per project):

- **ROI on the quote and the buyer’s job** (payback, running cost, or similar figures the catalog and interview can support). Separate from the vendor payback calculator in section 4.
- A branded **PDF quote** the buyer can receive by email (and download), when they need a file to forward, print, or attach to an internal approval.

The buyer can **self-edit** within the alternatives the catalog allows. Price recalculates; invalid swaps are blocked. Each line can carry a plain reason (for the buyer and for sales).

**Where the output goes:** saved in analytics; handed to CRM (set up per system during implementation); email delivery of transcript and quote.

If the request cannot be validated, the session **escalates with full context** (the buyer’s job, the dialogue, and the provisional state of the quote) via email, CRM, or phone, and ends cleanly. There is no live human takeover in the widget. Conversation resume can be turned on for registered users; anonymous sessions are temporary.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#input-output

### 2.4 Catalog & pricing

Three layers the validation module reads at quote time: **catalog**, **compatibility rules**, **pricing**. The vendor’s source (PIM, ERP, files) can stay the master; Talkulate builds the governed model the engine needs. Messy spreadsheets and exports are normal. If there is no structured catalog yet, one is built during implementation.

Rules encode power, slots, cross-product fit, and regulatory limits so invalid options never price. Prices, discounts, bundles, volume terms, and promotions sit in a **managed pricing module** (computed from config and context, per segment or currency). The vendor’s team updates products from an admin UI without a developer. New SKUs in existing categories are a fast path; a new category with new constraints is a small extra update. Real-time ERP/catalog sync can be added.

Tier and geo price controls need authorised access. A customer login portal for buyers is not in the standard product.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#catalog-pricing

### 2.5 Upsell

Signal detectors and reaction mechanics are **configured with the vendor’s sales team**. Together you encode what in the conversation (environment, industry, budget, growth, skill or capacity gaps) should add a complementary product, warranty, SLA, spare capacity, financing, installation, onboarding, or managed support. The extra lines land in the **same validated quote**.

These are deterministic rules (what the customer said → what appears on the quote), co-designed from how the sales team already upsells. A standard implementation includes up to **five** mechanics; more can be added. Every upsell line still passes catalog and compatibility checks.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#upsell

### 2.6 Integrations

**On the site:** chat widget, JavaScript snippet, or embed on the vendor’s domain (common CMS and custom sites).

**To the vendor’s stack:** validated quote plus conversation context to **CRM** (connection set up per system during implementation). Lead delivery by email with transcript and quote. PIM, ERP, and other catalog sources connect as modules; real-time ERP/catalog sync can be added. **API** if they build their own front end. Other systems when APIs or export paths exist.

What sits in the implementation fee versus extra work is on the pricing page.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#integrations  
https://r-sun.ai/products/talkulate-ai-cpq/pricing

### 2.7 Security

Standard deployment is an **isolated private cloud in the EU or US** (customer picks the region). **On-premise** is available when data must stay inside their network. GDPR-ready, with DPAs legal can sign. Personal data is kept apart from the quoting logic. Costs, margins, and internal rules are not shown to the end buyer.

Models are **not trained** on the customer’s catalog or conversations. Writes to CRM or ERP use the **customer’s credentials and approval**. Standard cloud deployments are monitored 24/7. The interview/validation **firewall** (Architecture) keeps buyer dialogue off the catalog.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#security

### 2.8 Analytics / governance

How the vendor **runs** the quoting engine: see demand, steer what is allowed to go out, learn from every session. Default is buyer self-serve; control stays with the vendor.

**Observe**

- **Engagement and lead capture.** Conversations versus visitors, and the validated contacts that result.
- **Funnel by stage.** How conversations move from first message to lead, and exactly where people drop off.
- **Chat logs.** What the market actually asks for, in their own words.
- **Handoff to other analytics.** Conversion and funnel events can be passed to the vendor’s stack (GA4, PostHog, and similar).

**Steer**

- **Reasoning visible to sales.** Reps see the same per-line reasoning as compliance, so they can speak to every quote.
- **Optional manager review.** By default the buyer self-serves a validated quote. When a human is required, a manager can review and edit the configuration before it is sent.
- **Approvals for exceptions.** Sign-off thresholds (for example a discount cap) are catalog/pricing configuration. Approvals fire on those exceptions.
- **New-configuration notifications.** The team is notified of every new configuration by email or in CRM.

**Learn**

- **Demand sensing.** What the engine proposed versus what buyers changed: price sensitivity and catalog gaps.
- **Historical decision audit.** Configurations over any time range, for seasonal or compliance review.
- **Light training.** Team onboarding takes hours.

The engine quotes around the clock; this is the operating console: visibility, gates, and a trail after the fact.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#analytics

### 2.9 Scope

What ships in a **standard implementation**, what is **co-designed**, and what is **extra**. Amounts and the 600-dialog allowance: [What's included and prices](#3-whats-included-and-prices) and https://r-sun.ai/products/talkulate-ai-cpq/pricing

CRM is connected during implementation, per system.

**Included (standard implementation)**

- Connect existing product data
- Validated quote, full BOM, commercial proposal
- Buyer self-edit and line-by-line explanations
- Website embed on the vendor’s domain
- Lead delivery by email or CRM record
- CRM integrations (custom per system)
- White-label with the vendor’s brand kit
- Up to five upsell mechanics
- Manager review, notifications, light training
- Engagement, funnel, lead, and historical analytics
- EU or US hosting, GDPR-ready, 24/7 monitoring

**Configurable (co-designed)**

- Compatibility, regulatory, and constraint rules
- Pricing module: prices, discounts, bundles
- Multiple interview paths and languages
- Conversation resume
- Approval thresholds
- Team-chat escalation, API / own front end
- Branded PDF quote

**Optional (extra work)**

- ERP / catalog sync with real-time updates
- Building a catalog when none exists yet
- New product categories
- Advanced or bespoke UI
- Enterprise on-premise deployment

Commercial shape: **fixed implementation fee** + **monthly platform subscription with a dialog allowance**. Enterprise on-premise is a custom quote. Payment: deposit → integration → go-live. Exact amounts are on the pricing page.

Learn more on https://r-sun.ai/products/talkulate-ai-cpq/features#scope

---

## 3. What's included and prices

Current figures: https://r-sun.ai/products/talkulate-ai-cpq/pricing

Two commercial models.

### Standard Deployment (managed cloud)

Most common path. Isolated private cloud (AWS/Azure; EU regions such as Frankfurt or Ireland). One customer instance, no shared tenants.

**Implementation, from:** EUR 16,000 / USD 18,400 / GBP 13,800, plus extras that are priced in the project. Phase 1 typically covers website integration (chat or API), business logic, calibration, and database construction. Typical payback: **1–3 months**.

**Monthly platform, from:** EUR 1,500 / USD 1,725 / GBP 1,300 per month. Includes **600 dialogs**, 24/7 monitoring, maintenance, and standard support (server errors, broken connections, config questions). Monthly does **not** cover content changes, methodology updates, or new features (those are change requests: priced, timeline agreed, then built).

**SLA (Standard):** critical incident, initial response within 4 hours; general inquiries, 1 business day.

**Payment:** deposit → integration complete → go-live → then monthly.

### Enterprise On-Premise

One-time license, **on request**. Docker/Kubernetes on the customer’s infrastructure. Data stays on their servers. No monthly platform fee; maintenance is a separate contract. SLA and support are negotiated. Payment ends at project completion rather than a monthly platform fee.

### What the money is buying (summary)

Full line-item table: https://r-sun.ai/products/talkulate-ai-cpq/pricing

Connect existing data (SQL, Excel, XML, PDF, API) into an internal product database; source systems can stay as they are. Admin UI for updates. New SKUs in existing categories on sync; new categories need a logic update. Up to **five** upsell mechanics included. Website embed (JS snippet or iframe) included. White-label included (no “Powered by” badge). Quote + self-edit + explanations included.

**Often extra (see the table):** CRM (per system); branded PDF; ERP/catalog sync; real-time sync once the integration exists; building a catalog when none exists yet (example band EUR 3,000–15,000); advanced/custom UI (from EUR 3,000). Anything else custom is estimated with a price and timeline before work starts.

Implementation after data audit: typically **5 days–6 weeks**. A smaller first scope can be mapped if the full package is not needed.

**Special terms:** pricing may be adjusted if the customer co-publishes a detailed case study with real conversion metrics, timeline, and ROI.

To size payback on the vendor’s own funnel: https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator

---

## 4. ROI calculator and contact

### 4.1 Calculate your ROI

You can walk through a short interview on the product page with **your** numbers (team, salaries, hours spent qualifying; visitors, conversion, lost leads; deal size, seasonality, integrations) and get a year-1 gain, payback, and TCO. No email to start; a PDF at the end if you want to keep the result.

This is the vendor’s own payback on the funnel. ROI printed on a buyer’s quote (payback of the configuration they just built) is a separate, optional output.

Start here: https://r-sun.ai/products/talkulate-ai-cpq#roi-calculator

### 4.2 Contact / discuss

Demo request on the hub. Call typically covers catalog structure, industry examples, how the two modules work, integration (widget, API, embed), accuracy, customization, deployment, and whether the catalog is a fit.

Form: https://r-sun.ai/products/talkulate-ai-cpq#contact  
Email: hi@r-sun.ai