Notes on AI that helps teams do the work.

Company context, practical team support, approved workflows, and the evidence needed to judge results. Explore product and deployment guides alongside earlier research, with its original scope and dates.

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  Jun 13, 2026·9 min read

  Why six AI hiring vendors got rejected at the same carrier

  One Fortune 500 insurance carrier rejected six AI hiring vendors on architecture. Its private deployment requirements are a reference, not a universal rule.

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  Jun 12, 2026·8 min read

  Agent cascades need enforceable operating limits

  Human approval is one control against agent cascades. Inspect dependencies, execution limits, revocation, and recovery after work has been authorized.

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  Jun 12, 2026·6 min read

  Your HRIS is the friend graph. Keep it.

  Facebook's friend graph never died. People just stopped going there. Your HRIS is headed the same way, and that is better news for the CHRO than it sounds.

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  Jun 10, 2026·8 min read

  'We need AI' is not a problem statement

  Specific business problems ship; ambitions stall. How to turn 'we need AI' into a scoped, costed problem statement, and why most enterprise AI projects fail.

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  Jun 10, 2026·3 min read

  Which business process should we try AI on first?

  Choose a first AI process with a named owner, measurable baseline, usable evidence, feasible access, manageable exceptions, and a reversible first step.

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  Jun 10, 2026·3 min read

  What is context engineering?

  Context engineering selects the instructions, facts, tool results, and history AI needs for a task. Model quality, retrieval, and evidence quality still matter.

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  Jun 10, 2026·4 min read

  How do I connect company data across different systems?

  Connect company data for AI by testing field meaning, identity, permissions, action results, and schema changes. Scope the first workflow and keep conflicts visible.

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  Jun 10, 2026·3 min read

  How can AI help us hire more people like our best employees?

  Ask which job-relevant evidence predicts success for this role and population. Historical association needs validation and responsible human use.

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  Jun 10, 2026·8 min read

  What control model lets you move that fast?

  What control model lets you move that fast? Queryable Decision Traces, logged approvals, and customer-defined second-signature rules answer the speed fear.

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  Jun 10, 2026·8 min read

  Can AI learn from our past decisions and mistakes?

  Company learning can change context and tested workflows without exporting customer records or pooling weights. Improvement still needs evidence and validation.

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  Jun 10, 2026·8 min read

  The internal candidate your systems can't see

  Internal mobility fails on rigid taxonomies that hide adjacency. A context graph computes who could make the adjacent move, and humans approve every one.

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  Jun 10, 2026·7 min read

  The work between an AI answer and a business result

  Compare internal AI and Nodes on integration, approved execution, exception handling, and measured learning. Start with the same business responsibility.

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  Jun 10, 2026·8 min read

  The three doors into an enterprise

  Enterprises buy AI through three doors: the innovation lab, the solutions team, and BAU. Which door you stand in changes what to demand from a vendor.

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  Jun 10, 2026·7 min read

  Vendor lock-in is an architecture decision

  Evaluate AI vendor exit by artifact: evidence, relationships, decisions, outcomes, tested capabilities, model rights, and the work needed to keep them usable.

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  Jun 10, 2026·4 min read

  What is a context graph?

  A context graph connects authorized entities, evidence, judgments, and outcomes. Its usefulness depends on identity, source quality, permissions, and validation.

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  May 16, 2026·10 min read

  Workday Is the Friend Graph

  a16z argues that the System of Intelligence is becoming the new locus of enterprise software value. They used sales. The thesis also applies to talent.

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  Feb 27, 2026·9 min read

  Your Workforce Plan Thinks in Headcount. Talent Intelligence Adds Pattern Evidence

  Headcount plans show capacity and cost. Talent intelligence adds customer-specific evidence about roles, transitions, and measured outcomes without reducing people to scores.

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  Feb 26, 2026·9 min read

  How Decision Traces Turn Your ATS Exhaust into a Talent Context Graph

  An ATS records workflow events. Decision Traces preserve evidence, policy, human input, approved action, and later outcomes so the history becomes queryable.