AI product configurator
AI product configurator
Give every buyer a product expert before they talk to sales. SalesCFG pairs an AI assistant with a governed rules engine so vague demand becomes valid, priced, quote-ready configuration data.
AI that guides — rules that guarantee validity
Most AI configurators fall into one of two traps: they generate a plausible-looking configuration that was never validated, or they simply answer questions without producing a structured, quotable result. SalesCFG separates the two roles.
AI interprets messy requirements, asks sharper questions, and recommends valid starting options. The deterministic rules engine then decides the accepted product state, so pricing, compatibility, and engineering constraints stay reproducible.
- Understands messy, plain-language requirements
- Reasons from your manuals, rules, and option data
- Guides toward valid choices and removes impossible combinations
- Produces a quote-ready handoff, not just a chat transcript
What the AI layer does
Assistance where language, ranking, and retrieval help — with validity owned by your rules.
Plain-language intake
Buyers describe constraints, environment, and budget instead of hunting through option trees.
Grounded reasoning
The agent uses your product rules and catalogue rather than generic model knowledge.
Guided discovery
It asks the missing questions and narrows by the constraints that actually matter.
Rules-backed validation
Every accepted configuration is validated by the deterministic rules engine.
Quote-ready handoff
Vague demand becomes structured configuration data sales can act on immediately.
Connected to documents
The same data powers proposals, technical specs, and manuals — no rebuilding.
AI product configurator: FAQ
What is an AI product configurator?
An AI product configurator uses artificial intelligence to interpret a buyer's request, ask relevant questions, and guide them toward a valid starting configuration, while a governed rules engine validates the resulting product, price, and output.
Does AI make the configuration unreliable?
Not when it is architected correctly. In SalesCFG the AI layer assists interpretation and guidance, but a deterministic rules engine owns validity. Compatibility, pricing, and engineering constraints remain the source of truth for anything that reaches a quote.
What can buyers do with an AI configurator?
Buyers can describe constraints, environment, budget, and goals in plain language. The agent asks the missing questions, recommends valid options, and prepares a clean, quote-ready requirement summary for sales.
Is it grounded in our product data?
Yes. The agent reasons from your manuals, compatibility logic, option data, and configurator rules rather than generic model knowledge, keeping guidance aligned with what your team approves.
Put AI in front of your product rules
Combine AI-assisted intake with a governed configurator, rules-based pricing, and document generation. Validate the workflow against your own product data and rules.