InsideTheBidRoom Research
Exploring AI governance, evaluation, institutional accountability, and organisational decision-making.
My research explores AI governance and evaluation, with a particular focus on institutional accountability, procurement, and organisational decision-making. Drawing on more than a decade of experience leading complex bids, proposal management, and procurement initiatives, I bridge practical delivery with emerging questions about how organisations can adopt AI responsibly. My work aims to help institutions strengthen transparency, human judgment, accountability, and public trust in AI-enabled decision-making.
Featured Research
Original research papers examining how AI is reshaping evaluation, governance, and institutional judgment.
Working Paper
ITBR-RP-2026-001
2026
About 25 minutes
AI Governance · Human Judgment
A Human-Centered Framework for AI Governance
Introduces the Better Humans Standard: a framework for evaluating AI systems by their long-term effect on the judgment of the people who use them, not by automation alone.
Research Paper
ITBR-RP-2026-002
July 2026
25–30 minutes
AI Evaluation · Procurement
Governing AI-Assisted Institutional Judgment
Examines how AI is quietly entering institutional evaluation workflows and proposes a governance framework to keep such systems visible, calibrated, contestable, and human-owned.
Research Areas
01
Exploring governance frameworks that enable organisations to deploy AI responsibly.
02
Studying how AI influences evaluation, assessment, and organisational decision-making.
03
Examining governance mechanisms that preserve transparency, oversight, contestability, and human responsibility.
04
Understanding how AI changes judgment, decision processes, and institutional governance.
05
Exploring how AI is transforming procurement, proposal evaluation, supplier assessment, and public-sector decision-making.
Articles & Publications
Industry articles, professional publications, LinkedIn newsletters, and commentary on bids, proposals, procurement, and the responsible adoption of AI.
Looking back at the early days — what I believed the job was, what it slowly revealed itself to be, and the one shift that would have saved me years.
Why the teams who win consistently aren't writing harder, they're writing smarter. A walk through what a real content library looks like, how to build one, and the trap most teams fall into.
A grounded look at where AI actually helps in the proposal process, where it quietly hurts, and how to use it without losing the parts of the work that matter most.
For anyone considering bids and proposals as a career: what the work actually involves, the skills that compound, and the path from first proposal to leading a function.
The honest answer most bid managers won't say out loud. A walk through the first hours after an RFP lands, and the decisions that quietly decide whether you win.
Working Papers
Early-stage papers being drafted alongside ongoing research. Shared here as their scope firms up.
In Development
Practical design patterns for AI systems that preserve friction where friction strengthens decisions.
In Development
Metrics and methods for tracking calibration, consistency, and long-run judgment quality in AI-assisted evaluation.
Research Philosophy
My research is grounded in a simple belief: the success of AI should be measured not only by what it automates, but by how it strengthens human judgment, institutional accountability, and public trust.
Drawing on more than a decade of experience in bids, procurement, and proposal management, I examine how organisations can govern AI responsibly while preserving transparency, explainability, meaningful human oversight, and sound institutional decision-making.
My goal is to produce research that is rigorous enough to inform policy discussions while remaining practical for organisations implementing AI in real-world settings.
