Antbuildz AI Help

Antbuildz AI provides an AI Agent for complex product businesses. It uses approved product knowledge, specifications, inventory and workflows to support sales, rental, product guidance and customer support. Industrial equipment and B2B rental are its strongest specialisations; instruments, electronics, components and technical consumer products can also fit.

Antbuildz AI builds a configurable AI Agent for product conversations. AI Webstore Suite adds the connected product, inventory and store layer. AI Agent Console is where your team manages knowledge, instructions, testing, conversations and handover rules.

Antbuildz AI is built for businesses whose customers need help understanding, comparing, choosing or using complex products. Examples include equipment rental companies, manufacturers, dealers, industrial suppliers, instrument makers, electronics distributors and technical consumer-product brands.

AI Agent is the core product. Sales Specialist, Product Specialist, Customer Service, Technical Support and After-Sales Support are Agent roles. Sales and Rental+ are subscription plans with different capabilities. AI Webstore Suite is the connected product, inventory and store layer; AI Agent Console manages your Agent.

Antbuildz AI Agent is the core product for complex product businesses. It uses approved knowledge and connected product data to answer questions, clarify requirements, compare supported options and prepare the next step across sales, rental and support. Your team controls its scope and human handover.

The roles are Sales Specialist, Product Specialist, Customer Service, Technical Support and After-Sales Support. AI Sales Agent describes the Sales Specialist role. Choose a role around the conversations your customers need; roles are not subscription plans.

AI Sales Agent is the sales use case of Antbuildz AI Agent. The Sales Specialist role uses approved product knowledge and connected inventory to clarify buyer requirements, compare suitable options and prepare sales enquiries for your team. It is one role of the core AI Agent.

AI Webstore Suite is the product, inventory and store layer connected to your AI Agent. It provides structured catalogue listings and dedicated product pages for complex products, including equipment, instruments, electronics and parts. Sales and rental capabilities depend on your plan and setup.

AI Agent handles customer conversations using approved product knowledge and workflows. AI Webstore Suite adds the connected catalogue, product pages, inventory and store layer. You can start with the Agent without launching a new Webstore.

No. AI Agent can be deployed independently and use approved company knowledge and product information. However, combining it with AI Webstore Suite gives the Agent access to a more structured product environment, including listings, specifications, categories, images, links and other connected business data.

Agent provides the AI Agent for your existing customer channels. Sales adds AI Webstore Suite sales capabilities, including catalogue and inventory management. Rental+ includes Sales plus rental and booking capabilities. Compare the current plans for included features and limits.

AI Webstore Suite structures product listings, specifications, categories, images and supported inventory fields. When connected, that information gives your AI Agent product context for recommendations and customer questions. The quality and freshness of the source data still matter.

Start with the AI Agent and approved business knowledge. Choose Sales if you also need AI Webstore Suite sales capabilities, or Rental+ for sales plus rental capabilities. Your Agent role defines the conversation it handles; your plan defines the subscribed capabilities and limits.

Yes, subject to the current subscription and implementation options. A business can start with its immediate requirement and expand its Antbuildz AI setup as its catalogue, digital sales operation or AI use cases grow.

Antbuildz AI is for complex product businesses, with particular strength in industrial equipment, B2B sales and rental. The same approach can support instruments, electronics, components and technical consumer products such as 3D printers where specifications, applications or compatibility shape the decision.

No. Industrial equipment and rental are our strongest specialisations, but the common requirement is product complexity. Instruments, electronics and technical consumer products can also fit when customers need help understanding or choosing products. Bring your catalogue and typical enquiries to a demo so we can assess the fit.

Yes. Antbuildz AI is suitable whenever customers need product clarification, technical information, recommendation, availability, quotation support or lead qualification before they can buy or rent.

Yes. The system can be configured around rental and sales enquiries, including product specifications, quantity, location, rental duration, purchase intent, availability, pricing rules and other business-specific requirements.

Yes. Customer Service, Technical Support, Product Specialist and After-Sales Support are roles alongside Sales Specialist. Define each Agent’s knowledge, instructions and handover boundaries around the job it needs to do. Support conversations do not need to become sales enquiries.

Traditional chatbots often follow fixed scripts or answer straightforward FAQs. Antbuildz AI Agent is designed to understand customer intent, identify missing information, ask follow-up questions, retrieve relevant product and company knowledge, follow business workflows, recommend suitable products and capture qualified sales opportunities.

A general LLM can provide broad knowledge, but it does not automatically know your current catalogue, inventory, pricing rules, company policies or sales workflow. Antbuildz combines AI models with your approved business knowledge, structured product data, workflow controls, lead capture and AI Agent Console supervision to create a business-ready Agent.

Industrial product decisions often depend on specifications, applications, compatibility, availability and commercial rules. Antbuildz uses approved product knowledge and workflows to guide those conversations. Similar requirements also arise with instruments, electronics and other complex products.

Depending on configuration, the Agent can answer company and product questions, handle rental and sales enquiries, capture requirements, ask clarification questions, search approved knowledge, recommend suitable products, compare options, capture and qualify leads, recognise buyer intent, support quotation workflows, escalate conversations and support customers outside normal office hours.

Yes. The Agent can ask relevant clarification questions about application, capacity, dimensions, operating environment, location, rental duration, quantity, budget or other constraints before suggesting suitable products. This is useful when buyers describe a job or problem instead of naming a specific model.

Yes. The Agent can be configured to retrieve and recommend products from your approved catalogue and connected product data. You can also define boundaries so it recommends only approved products and brands.

Yes. It can compare available products using relevant specifications and the customer requirements and explain why particular options appear more suitable. For complex technical decisions, it should state assumptions or identify missing information instead of making unsupported claims.

Yes. The Agent can be configured to collect missing information before it recommends a product. For industrial enquiries this can include application, capacity, dimensions, environment, duty, quantity, location, rental duration, budget or delivery timeline.

Yes. It can capture information such as customer and company details, product requirement, location, budget, quantity, timeline, rental duration and purchase or rental intent. It can also identify urgency and sales readiness so the sales team can prioritise stronger opportunities.

Yes. The Agent can respond to supported customer enquiries outside normal office hours, helping businesses engage customers across different time zones subject to service availability.

Yes. Antbuildz AI Agent supports multilingual customer conversations. Language quality can vary by language, terminology and the quality of the underlying knowledge, so important technical terminology should be tested in the languages your customers use.

Depending on supported formats and integrations, knowledge can include product catalogues, technical manuals, specifications, pricing information, rental and sales terms, FAQs, company policies, websites, documents, spreadsheets, structured Webstore product data and other approved company knowledge. Use current, accurate sources wherever possible.

Yes. Antbuildz is designed to ingest knowledge from multiple business sources, including catalogues, manuals, documents, websites and structured files. Retrieval quality depends heavily on the quality and structure of the source material, so complex technical content should be validated during testing.

Antbuildz AI is designed for technical and industrial knowledge and can work with specifications, structured tables and technical documents. It can also work with more complex performance or engineering charts where ingestion and retrieval are configured correctly. Safety-critical answers should be checked against authoritative manufacturer data, and the Agent should not invent missing chart values.

Yes. The Agent is designed to combine several customer requirements with relevant product knowledge and business rules. It can identify constraints, ask for missing information, retrieve suitable products and compare available options rather than matching a single keyword.

Yes, when enabled. General AI knowledge can help with general explanations, terminology and broad technical context. Company-specific products, prices, availability, policies and commercial commitments should rely on your approved knowledge and connected data. Product recommendations can be restricted to your own approved catalogue.

Yes. You can define product and recommendation boundaries so the Agent works within your approved catalogue or brand portfolio. If no suitable approved product exists, it should say that it cannot identify a suitable approved option rather than inventing one.

It should not guess. The preferred behaviour is to ask for additional information where appropriate, explain that it cannot confidently verify the answer, or escalate the question to a human team member.

No credible AI system can guarantee zero hallucination. Antbuildz reduces risk by combining approved knowledge, retrieval, structured product data, clear Agent instructions, product boundaries, workflow controls, testing, conversation monitoring and human escalation. For technical or commercial questions, verified source information should take priority over unsupported model assumptions.

Yes, when the Agent is connected to a supported Webstore, inventory source or integration. Availability-sensitive answers should come from the connected source rather than static general knowledge.

Yes. It can compare products against the customer requirements and explain which options appear more suitable. For technical equipment, the Agent should also identify important assumptions or missing requirements before making a recommendation.

When Webstore synchronisation is enabled, structured product information such as listings, specifications, categories, images and links can be synchronised for use by the Agent. The exact update timing depends on the integration and data workflow.

Antbuildz AI can support integrations depending on the target system and the available connection method. Possible sources can include Webstore data, APIs, spreadsheets or other supported systems. Custom integrations should be assessed individually before they are promised as available.

Yes, where the relevant import or integration method is supported. Spreadsheets are useful for structured product, pricing or inventory data, but the source should have consistent fields and current values to improve retrieval quality.

Yes. Businesses can configure instructions, knowledge sources, product boundaries, pricing behaviour, qualification logic, workflows and escalation rules. The Agent should operate within those approved boundaries.

Yes. You can configure the Agent to explain products and collect requirements while requiring a human or approved workflow to provide final pricing, discounts, contractual commitments or other sensitive commercial decisions.

Yes, where the deployed workflow supports human handover. The Agent should escalate when a conversation requires human judgement, negotiation, unusual commercial approval, safety-critical advice or information outside its authorised scope.

Yes. Conversation monitoring helps your team review customer questions, identify knowledge gaps, spot weak responses, evaluate lead quality and improve Agent instructions and business knowledge. Access should follow the user permissions in the AI Agent Console.

Do not treat every conversation as automatic training. Conversations can reveal gaps and improvement opportunities, but changes to knowledge or Agent behaviour should be reviewed and intentionally applied rather than allowing uncontrolled self-learning.

Test it with real customer questions, different phrasings, incomplete enquiries, product-retrieval cases, technical scenarios and cases where the correct response should be escalation. Review weak responses, then improve the knowledge base, Agent instructions or workflow and retest.

Antbuildz is designed to isolate subscriber knowledge so one customer's private business knowledge is not exposed to another subscriber. Access should follow the configured subscriber permissions and current service terms.

Antbuildz's stated product position is that subscriber company knowledge is kept private, isolated from other customers and not used to train public external AI models. The current Antbuildz privacy and service terms remain the authoritative source for contractual data-processing commitments.

Private subscriber knowledge is intended to remain isolated to the authorised subscriber environment. Other customers should not be able to access your private knowledge unless you deliberately publish information through a public surface.

Yes, subject to the current Knowledge Base features and permissions. Businesses should update or remove obsolete information so the Agent is not relying on outdated product, pricing, policy or company content.

Yes. The Agent should use only the knowledge sources, product data and connected systems that the subscriber has authorised for that Agent or use case, subject to the current configuration and permission model.

No advanced AI expertise should be required for normal setup. Your team mainly needs to define the Agent role, provide relevant knowledge, configure business rules and test responses. More complex system integrations may require technical implementation.

Standard self-deployment is designed to be fast when the product catalogue and company knowledge are ready. The actual time depends on the amount and quality of knowledge, the complexity of the workflow and whether custom integrations are required.

Yes. Testing before public deployment is strongly recommended. Test representative customer questions, product retrieval, edge cases, technical scenarios, business rules and escalation behaviour before going live.

Antbuildz provides product guidance, resources and support materials, and may provide onboarding assistance depending on the subscribed service and implementation. Complex deployments can require additional implementation support.

Start by defining what the Agent should do, which products or services it should support, what knowledge it can use, what information it should collect, which commercial actions it may take and when it should escalate. Then add the relevant knowledge and test the Agent before launch.

Your plan includes a monthly AI conversation allowance. Purchased AI Conversation Credits add capacity after that allowance is used. Monthly allowances reset and do not roll over; purchased credits do not expire. See Pricing for the current conversation definition and usage terms.

Purchased AI Conversation Credits are used after the included monthly allowance is exhausted. You can purchase a credit pack or expressly enable Auto Top-Up. Check your remaining balance and billing settings before relying on additional capacity.

Yes. Choose a credit pack or expressly enable Auto Top-Up through the available billing options. AI Conversation Credits add enquiry capacity; plan upgrades add business capabilities. View Pricing for current packs, Auto Top-Up behaviour and terms.

Additional Agent capacity may be available depending on the subscription. Businesses that need multiple Agents for different brands, teams, markets or use cases should check the current plan or contact Antbuildz.

Cancellation is subject to the current subscription and billing terms. Review your billing settings and applicable subscription conditions before cancelling.

Use the live Antbuildz pricing page as the source of truth for current plan pricing, conversation allowances, top-ups, add-ons and promotional offers.