Co-Sales AI Configurator logo

Co-Sales AI ConfiguratorAI pre-sales configurator that turns website visitors into ready-to-sign offers.

4.6 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Co-Sales AI Configurator is an AI-powered pre-sales configurator that turns website visitors into ready-to-sign offers. It uses embedded AI to interview customers, match components from the live catalog, and deliver validated quotes within 15 minutes. The configurator adapts to the customer's industry and terminology, asking clarifying questions to ensure accurate quotes. It also validates every component against the catalog, ensuring 100% compatibility accuracy. The configurator's output includes a quote, a bill of materials (BOM), and a specifications sheet with a transcript of the conversation. The system is customizable, allowing companies to brand the user interface and dictate pricing rules. The configurator also integrates with CRM systems, providing qualified, close-ready leads. By using the Co-Sales AI Configurator, businesses can reduce quote cycle times to zero minutes, increase first-pass accuracy to 76%, and improve compatibility accuracy to 100%. It also helps companies to identify revenue leaks in the pre-sales process and provides insights into demand and funnel performance. The configurator is particularly suitable for companies with large catalogs, such as US Server Resellers, which can benefit from its ability to reduce quote cycle times, improve accuracy, and increase quote volume capacity.

Key features

  • AI-driven product configuration
  • Automated quote and offer generation
  • Conversational lead qualification
  • Integration with sales workflows
  • Real-time visitor engagement
  • Structured handoff to sales reps

Pricing

Model
Free
Category
Lead Generation
Rating
4.6 / 5 (5)

Use cases

Server Setup for a Small Business

The AI configurator helps a small business with a budget of around €20k to set up a server for ~50 people. It clarifies what the users will do on the server, identifies any 'must-have' apps or workflows, and validates the compatibility of the proposed setup.

Reducing Quote Cycle Times for a Server Reseller

A US Server Reseller uses the Co-Sales AI Configurator to reduce its quote cycle times from 1-2 days to zero minutes. The configurator increases the company's first-pass accuracy to 76% and improves compatibility accuracy to 100%.

Pros & Cons

Pros

  • Automates early-stage sales conversations
  • Generates ready-to-sign offers from web traffic
  • Qualifies and enriches leads in real time
  • Reduces response time for inbound inquiries

Cons

  • Requires setup of product catalog and pricing logic
  • Effectiveness depends on training data quality
  • May need oversight for complex or custom deals

Battle record

Across 1 battle in the Pantheon.

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Last battle

Reviews

4.6

Average from 5 ratings.

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George Papadakis

George Papadakis

Feb 15, 2026

Does the job

Pretty happy overall. Conversational lead qualification just works and automates early-stage sales conversations. May need oversight for complex or custom deals can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

DW

Devin Walker

Jan 18, 2026

Does the job

Pretty happy overall. Conversational lead qualification just works and generates ready-to-sign offers from web traffic. Requires setup of product catalog and pricing logic can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

DF

Diego Fernández

Jan 1, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on structured handoff to sales reps, and automates early-stage sales conversations caught me off guard. May need oversight for complex or custom deals is why this isn't a perfect score, still, I'd recommend giving it a real trial.

MB

Marcus Bell

Dec 8, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integration with sales workflows and generates ready-to-sign offers from web traffic. Where it lags: effectiveness depends on training data quality. On balance the feature set — especially real-time visitor engagement — justifies the 4 stars for our use case.

Robert Ainsworth

Robert Ainsworth

Nov 28, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: aI-driven product configuration and qualifies and enriches leads in real time. Where it lags: requires setup of product catalog and pricing logic. On balance the feature set — especially conversational lead qualification — justifies the 5 stars for our use case.

Q&A

What's included in the base $18,400, and what costs extra?

Base package includes deployment of our AI CPQ (Configure‑Price‑Quote) dual-agent system adapted to your catalog, integration with your product database (where technically feasible), basic design customization matching your brand, and website embedding via iframe. Additional costs may include data structuring services, advanced custom design work, or specialized integrations beyond standard scope.

Asked by Sami Virtanen · Jan 20, 2026

How is the monthly $1,725+ fee calculated? What drives the "+"?

Three factors: system complexity (number of product categories, validation rules, integration points), your SLA requirements (response time, uptime guarantees), and request volume. Think of it as infrastructure that scales with your needs - not arbitrary limits.

Asked by Leila Hassan · Jan 7, 2026

Are there hidden fees for updates, support, or additional requests?

No. Updates, monitoring, and standard technical support are included in the monthly service fee. New feature development or major architectural changes would be scoped and priced separately.

Asked by Ximenez Alvarado · Dec 14, 2025

How do we know if our product is "complex enough" to need this?

Our rule is simple: Everything more complex than sneakers. If your product involves compatibility checks, technical constraints, or requires an Excel sheet to determine if "Component A fits with Component B," you need Talkulate AI CPQ — built for deterministic configuration and quoting. If you sell sneakers or simple retail items, Talkulate AI CPQ is overkill; we can deploy a specialized AI Search Engine instead for semantic search and visual discovery.

Asked by Ulla Nielsen · Nov 4, 2025

Is this solution for B2B or B2C?

It is agnostic. The core engine remains the same, but the Interviewer Agent adapts its persona: for B2B it focuses on technical specs, compliance, and audit-ready documentation; for B2C it acts as a guide, educating the customer and translating jargon into benefits (e.g. helping a homeowner choose a heat pump).

Asked by Paloma Ruiz · Nov 2, 2025

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