Competitive Intelligence AI Agent Services

Klue and Crayon are SaaS platforms built for standard workflows and pre-configured integrations. A custom CI agent is built around your specific competitors, CRM data model, and sales tool stack. It reasons across sources, executes actions inside your systems, and extends as your needs change. Platforms are faster to start. Custom agents perform better when your setup differs from the average — different CRM, non-standard competitor mix, deep sales tool integration.

Yes. Our Salesforce integration supports read and write. When a rep logs a competitor in an opportunity field, the relevant battlecard content appears inside that record. No tab switching, no portal visit.

Monitoring agents run on continuous schedules and respond to change-detection triggers, not just time intervals. When a pricing page changes, the monitoring agent fires, the competitor knowledge base updates, and connected battlecard and alert agents respond automatically — typically within minutes of the change going live.

CI agents run on RAG architectures grounded in retrieved source documents. Every output includes a citation traceable to the original source. Low-confidence outputs route to human review rather than delivery. Agents that cannot cite a source do not go to production.

Yes. The mention detection agent processes transcripts from Gong and Chorus, identifies competitor references, tags them with deal and rep context, and routes signals to battlecard update or alert workflows.

A single-agent PoC takes 3 to 5 weeks. A production-grade CI system with multi-agent architecture, CRM integration, and full sales tool connectivity typically takes 10 to 16 weeks, depending on the number of connected systems and integration complexity.

PoC engagements start from $15,000. Production single-agent builds range from $60,000 to $150,000. Multi-agent CI platforms with full enterprise integration start from $200,000. Detailed estimates require a scoping call, integration complexity drives cost more than agent complexity.

Yes. Competitor knowledge bases scale across large sets. Multilingual ingestion and retrieval are supported. Geographic and language scope are defined during the signal source audit in discovery.

Both. A single-agent system suits a focused use case — one competitor category, Slack alerts only. A multi-agent system is required when you need parallel monitoring across dozens of competitors, multiple source types, and coordinated delivery into Salesforce, Gong, Slack, and your enablement platform at the same time. We recommend the right architecture during the discovery call based on your competitor count, deal volume, and sales team size.

Support can include monitoring, retraining, workflow updates, integration maintenance, accuracy reviews, and new agent capabilities.