An applied research project that develops practical guidance for safe, transparent, and useful AI-assisted collaboration workflows and roles.
Start Here: Collaborate More Effectively with AI. Teams and knowledge workers want AI to reduce cognitive load, accelerate ideas, and help us get better work done — without surrendering accountability, fairness, or judgement. This guide explains how to start using AI in everyday collaboration with clear roles, simple...
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Facilitator's Checklist for AI-Assisted Meetings. Use this checklist before, during, and after meetings when AI tools will be used to summarize, suggest, or synthesize content. Before the meeting. Announce AI use and get participant consent for recording or AI summary. Choose the tool and verify data handling/privacy...
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Case Study — Research Team Adopts AI for Literature Synthesis. A mid-sized university research team needed to scan new literature faster to keep a living review up to date. They piloted an AI-assisted workflow focused on summaries and reference extraction while maintaining strict verification steps. Context and...
A practical, actionable guide that defines human and AI roles, concrete handoffs, guardrail checklists, prompt and attribution patterns, and a small-experiment template teams can use to safely validate AI-assisted collaboration workflows.
A practical, fillable checklist to define human and AI roles, hand-offs, verification steps, and governance checkpoints for collaboration workflows. Use it to capture assignments, required transparency, data sensitivity, acceptance criteria, and escalation paths so teams can safely and consistently include AI in work.
Interactive checklist and scoring audit to evaluate risks, governance needs, and operational readiness for AI-assisted collaboration workflows. Captures evidence, recommends mitigations, and produces a short prioritized action plan.
A practical RACI-style playbook that clarifies how humans and AI tools share responsibility for drafting, reviewing, deciding, and handing off work. Includes a reusable RACI template, patterns for common AI roles, a worked example, verification checklist, SOP handoff language, and governance notes.
A practical, team-ready checklist to assess AI tasks, protect sensitive data, ensure clear attribution, preserve human review, log prompts and experiments, and prepare quick incident-response steps. Includes sample team norms and an example mini-plan for incidents.
A practical, ready-to-use template to declare where and how AI tools were used, the data sources and limitations, attribution language to include in outputs, how to question or override AI-generated content, and who owns audits and refreshes. Designed to be copy-pasted into notes, decision records, distribution templates, or adapted to team standards.
A practical, copy-ready template that defines human and AI responsibilities across common collaboration tasks, including clear handoff points, approval gates, transparency statements, quality checks, and an escalation protocol.
A practical, curated library of reusable prompt templates, verification guardrails, and handoff patterns for common team tasks (meeting notes, decision extraction, draft communications, research synthesis, onboarding). Each template includes expected inputs, output format, quality checks, and a short sample conversation to validate behavior.
A practical, team-ready playbook containing reusable prompt templates, clear handoff rules, sensitivity-tagging guidance, human-review thresholds, attribution patterns, and example flows for common collaboration tasks (meeting summaries, decision extraction, research briefs, draft emails).
A practical RACI-light template adapted for human + AI collaboration. Includes clear role definitions, a repeatable task field structure, guardrails, review cadence guidance, and two sample completed examples (weekly planning meeting and product spec review). Designed so teams can copy, tailor, and later convert into an interactive RACI matrix or saved form.
A practical, team-friendly checklist that turns high-level AI ethics principles into concrete actions: what to check, who should own it, how to verify, and what to do when something goes wrong.
Practical, validated AI-assisted workflow templates teams can pilot and adapt. Includes step-by-step workflows for meeting preparation, real-time summarization with human verification, action extraction and assignment, and updating knowledge bases. Each template lists roles, concrete steps, prompt patterns, verification checks, risk mitigations, pilot guidance, and success metrics.
A concrete, implementable workflow that shows how an AI meeting agent can capture transcripts, extract decisions and actions, propose owners and deadlines, require human verification, update an ADR and action tracker, and notify stakeholders. Includes sample prompts, a human verification checklist, ADR update template, success metrics, and implementation notes.