Agentix intelligence
Field notes for teams putting AI to work. Production patterns, governance controls, and practical automation playbooks.
Learn how to pilot campaign agents with clear permissions, consent controls, cross-channel coordination, human review, and meaningful measurement.
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Build an AI proposal automation workflow that accelerates sales responses while controlling pricing, legal terms, security claims, approvals, and source accuracy.
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Build an account research agent that gives sellers timely, cited briefs while protecting CRM data quality, controlling costs, and keeping humans in…
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Learn how to design a governed next-best-action journey with CRM context, eligibility rules, human approvals, measurement, and a phased rollout.
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Use this practical audit to assess content quality, permissions, retrieval, governance, and cost before deploying reliable enterprise AI agents.
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Build a governed CRM data enrichment loop with source rules, confidence thresholds, human review, monitoring, and a practical 30-day RevOps pilot.
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Build a governed CRM data enrichment loop that detects stale records, resolves conflicting evidence, controls writeback, and improves data quality over time.
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Build a production RAG control loop for retrieval quality, permissions, freshness, observability, safe fallbacks, and cost per useful answer.
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Build sales follow-up automation with reliable CRM state, event triggers, approval gates, stop rules, and a practical RevOps pilot scorecard.
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Build reliable agent handoffs with explicit context, ownership, permissions, acceptance rules, recovery paths, and end-to-end traces for production AI.
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