Turn Conversations Across Your Network Into Business Intelligence.
Deploy AI Conversation Agents — including branded avatars — across locations, products, menus, catalogs, distributors, and customer segments while using CRSTBL’s Intelligence Layer to analyze intent, demand, and discovery patterns at scale.
Built for Complex Businesses With Complex Customer Questions.
CRSTBL Enterprise gives every location the same core conversational capability as CRSTBL Local, but adds the deeper Intelligence Layer required by complex businesses — plus the ability to deploy branded AI avatars that represent your company visually.
Enterprise customers can deploy Conversation Agents across many locations, product lines, menus, business units, distributor networks, or partner ecosystems. Each agent operates independently with its own role, knowledge context, location scope, and analytics profile, while the CRSTBL Intelligence Layer connects conversations across the network.
This allows enterprise teams to understand not just what customers ask, but what those questions reveal about demand, information gaps, product discovery, regional trends, customer intent, and sales opportunities.
More Than a Chatbot.
Branded Avatar Agents
Deploy AI avatars that visually represent your brand. Create a Character Identity — your company mascot, spokesperson, or branded persona — and reuse it across multiple Conversation Agents with different roles and locations.
Per-Location Conversation Capability
Each enterprise location receives its own Conversation Agent with location-specific inventory, menu, specials, and context, while enterprise teams manage visibility and intelligence across the broader network.
CRSTBL Intelligence Layer
Semantic and context mapping analyzes intent across locations, regions, business units, product lines, and partner networks — turning conversations into cross-network business intelligence.
API Access and Integration
Connect CRSTBL conversation data and discovery intelligence to enterprise workflows, dashboards, partner systems, CRM, and business intelligence tools.
One Brand Identity. Many Roles. Every Location.
Enterprise customers often need the same branded persona to appear across different roles and locations. CRSTBL separates the visual identity from the operational deployment:
A Character Identity is the reusable presentation layer — the face, voice, name, and brand personality of your AI representative. You create it once.
A Conversation Agent is the independently deployed instance — with its own assigned role, knowledge context, location scope, conversation rules, and analytics profile. You deploy as many as you need.
One Character Identity can power multiple Conversation Agents. Each agent is operationally independent because they have different objectives, knowledge sources, interaction environments, instructions, conversion events, and reporting requirements.
One Character Identity — Three Deployed Agents
Same face and brand personality. Different knowledge, rules, analytics, and objectives.
See Demand Patterns Across Every Location.
CRSTBL Enterprise allows businesses to compare customer questions, discovery patterns, conversion opportunities, and information gaps across locations. This helps enterprise teams identify what customers are asking for, which locations are seeing demand, and where better information or operational action may be needed.
- Which products, menu items, or services customers ask about most often
- Which locations receive demand for specific offerings
- Where visitors encounter information gaps
- Which customer questions indicate purchase intent
- Which regions show different discovery patterns
- Which products or services may need better positioning
Designed for Enterprise Buying Requirements.
| Enterprise Concern | CRSTBL Enterprise Message |
|---|---|
| We have too many locations and inconsistent customer experiences. | CRSTBL creates a consistent AI conversation layer across locations while preserving location-specific information. |
| Our product, menu, or catalog data is complex. | CRSTBL uses semantic and context mapping to understand relationships across items, attributes, categories, use cases, and customer intent. |
| We need more than a chatbot. | Enterprise includes Conversation Agents, branded avatars, conversation intelligence, analytics, APIs, and business insight generation. |
| We want a branded visual presence, not a generic widget. | Deploy your own Character Identity — a branded avatar that represents your company across every touchpoint. |
| We need integration with internal systems. | Enterprise plans include API access and webhook support for enterprise data workflows. |
| We need to understand customer intent across the network. | The CRSTBL Intelligence Layer aggregates and analyzes conversations across locations, segments, and use cases. |
| We need confidence before deployment. | Enterprise deployments include a dedicated onboarding manager, structured onboarding, and enterprise support. |
What’s Included in CRSTBL Enterprise.
| Feature | CRSTBL Enterprise |
|---|---|
| Conversation Agents (text, voice, or avatar) | 1 included; text/voice additional: $100/mo · avatar additional: $500/mo |
| Character Identity (avatar asset) | $350/mo per unique character — reusable across agents |
| Character Build (one-time) | $850 per unique character |
| Per-location deployment | Multiple under one legal entity; $100/mo each additional |
| Per-location capability | Same as Local, plus semantic/context-mapping analytics |
| Menu, product, service, document, and catalog ingestion | Included |
| Multi-language conversations | Included (30 languages out of the box) |
| Text/voice minutes | 3,000/mo included; 1,000-min packs at $50 overage |
| Avatar minutes | 1,000/mo per avatar agent, pooled; 1,000-min packs at $100 overage |
| Predetermined reports | Included |
| Per-agent analytics | Included |
| Semantic and context mapping (CRSTBL Intelligence Layer) | Included |
| Cross-location analytics | Included |
| 3-month transcript export | Included |
| API / webhook access | Included |
| Dedicated onboarding manager | Included |
| Onboarding consulting | $1,000/week, billed for actual time (~4 weeks typical, ~6–8 weeks for larger deployments) |
| AI Discovery (AEO/GEO hosted page) | Included free |
Enterprise Use Cases.
| Enterprise Type | CRSTBL Use Case |
|---|---|
| Restaurant chain | Help customers discover menu items, dietary options, locations, promotions, and ordering paths while analyzing intent across regions |
| Distributor | Help sales teams and customers navigate complex catalogs, product applications, industries, and use cases with branded avatar Conversation Agents |
| Franchise system | Standardize AI conversation capability across franchise locations while preserving location-specific content |
| Credit card network | Help consumers discover merchants, offers, restaurants, products, and experiences through conversational interfaces |
| Loyalty program | Improve offer discovery, merchant discovery, customer engagement, and intent visibility |
| B2B product network | Map customer needs to product attributes, applications, industries, and sales opportunities |
| Multi-location retailer | Analyze product discovery, location demand, customer questions, and conversion gaps across stores |
Help Sales Teams and Partner Networks Navigate Complex Product Knowledge.
For distributors, manufacturers, and supplier networks, CRSTBL can help sales teams answer product questions, explain use cases, compare options, and guide customers through complex catalogs using branded avatar Conversation Agents trained on your product data. This reduces dependency on static PDFs, manual training, and inconsistent product knowledge across the network.
Turn Enterprise Conversations Into Actionable Intelligence.
CRSTBL Enterprise helps large organizations deploy AI Conversation Agents — including branded avatars — across their network while using customer questions to identify demand, intent, information gaps, and business opportunities.