Digital bundles, training suites, and practitioner toolkits for AI accountability, governance, grievance systems, and human judgment inside live workflows.
Most products below have a direct Selar checkout link; the free tools download straight away. Where a public page exists, the "Read context" link opens the explanatory site page first, so buyers can understand fit before checking out.
A confidential 1:1 working session on the AI-shaped pressure in your system, built around a 2-3 page written brief delivered before the call.
A fixed-scope review that stress-tests the alwayses and nevers in an AI policy, pledge, covenant, vendor assurance, or governance document.
An adversarial read of a resettlement plan, ESIA chapter, grievance procedure, or conformance mapping, testing where AI in the workflow has weakened it against IFC PS5 and the readers who enforce it.
An adversarial read of a results framework, evaluation report, or evidence synthesis, testing where AI in the MEL workflow has broken the chain from reported result back to source record.
A fixed-scope engagement that turns dense expert material into a finished, publish-ready narrative without losing the substance.
A focused reader for teams trying to see where accountability is being displaced onto reviewers, dashboards, vendors, or vague human-in-the-loop claims.
Narrative framing, contractual mechanisms, and operational appendices for encoding override, refusal, edge-case handling, and auditability before harm occurs.
The currently listed H∞P training product: a live AI judgment and operator-governance training package built around the Humans in the H∞P suite.
A practitioner course for ESG, safeguards, risk, and compliance teams governing AI where decisions touch people, evidence, contracts, and accountability.
An IFC PS1-aligned tracker kit with workbook architecture, briefing deck, report-generation scripts, and sample outputs.
The working kit: a relational grant register, expense and report logs, dashboard, guardrails, and a generator that produces funder reports, budget-vs-actual, and audit-evidence packs on a double-click. Runs offline; AI optional and disclosed.
Everything in Steward Core, plus the Steward Handbook for deploying and tuning the guardrails and crosswalk, and board-update and funder cover-letter templates.
Everything in Steward Plus, plus the federal / Single-Audit readiness pack: a 2 CFR 200 crosswalk, a SEFA schedule template, an audit-prep checklist, and twelve months of updates.
Ten questions a manager must ask before signing off on an automated grievance or risk system. The one-page taster for the full Vendor Interrogation Pack.
Four rules that make AI-assisted E&S work checkable: disclosure at touch-point grain, evidence custody, a never-machine-settled list, and a hostile read before submission. Free to adopt, signable, citable in bids alongside IAIA SP16.
The full 12-page pack behind the free one-page script: six questions your AI vendor cannot refuse to answer, an evasion-pattern field guide, an answer-decoding matrix, email templates, and one forensic read of the real reply you get back.
The subscriber layer for the newsletter's multilingual editions. Each arc translated after Bene Gesserit lands in the subscriber area as it is prepared.
The full Bene Gesserit arc across sixteen language editions, browser-readable HTML and downloadable PDFs, opened with an email at no cost.
A pre-release review draft of The Glass Child, shared early and in confidence with the first readers. Read it, then leave a comment with your reaction.
These offers are kept here for continuity and fit-checking. They are not active Selar checkout products right now; use the enquiry links if you want details or a scoped version.
A quest-based inherited-data governance format for recognising messy datasets, semantic drift, missing context, and quiet defects before they become automation risk.
The fuller DataDragon training arc for teams that need to identify, prioritise, remediate, and govern inherited-data problems over time.
A private leadership-team session for testing whether AI controls, evidence, escalation, and human judgement surfaces will hold under real operating pressure.
