Agentix intelligence
Field notes for teams putting AI to work. Production patterns, governance controls, and practical automation playbooks.
Learn how to design AI agent memory with scoped retention, validation, retrieval controls, deletion rules, and cost guardrails for production workflows.
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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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