Agentix intelligence
Field notes for teams putting AI to work. Production patterns, governance controls, and practical automation playbooks.
A practical playbook for designing multi-agent workflows with clear handoffs, bounded autonomy, human oversight, observability, and cost controls.
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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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