Resources

Everything we publish, in one place

Nineteen executive white papers, thirty-four product data sheets and three course data sheets, as PDFs, grouped by product. Nothing here requires a form or an email address.

Executive white papers

Longer arguments for readers who want the reasoning rather than the summary. Each one is worth reading whether or not you ever buy anything, and each ends with the strongest case against its own position. No form, no email address.

Enterprise Decision Intelligence

Cartesian Decision Making

Written for: CEOCOO

Decision intelligence that learns not just what we decided, but what happened next. Every large organisation keeps meticulous records of what it did, and almost none keeps a usable record of why.

PDF · 1.4 MB · EDI-WP-01 · v2.0

The Cost of Organisational Indecision

Written for: CEOCFO

Why decisions stop, what the stopping costs, and how decision governance moves faster without governing less. Organisations measure what they do; they do not measure what they fail to do.

PDF · 1.4 MB · EDI-WP-02 · v2.0

Trust and Verify

Written for: CEOCOO

Leadership without losing control: governance that gives leaders visibility instead of a signature. Almost every senior leader says they want to delegate more; very few do.

PDF · 1.5 MB · EDI-WP-03 · v2.0

Delegation Without Losing Governance

Written for: CEOCOO

The boundary and the room: separating a rule about risk from a judgement about trust. Delegation fails for structural reasons rather than personal ones, which is why exhortation does not fix it.

PDF · 1.6 MB · EDI-WP-04 · v2.0

Building a Decision-Making Culture

Written for: CEOCHRO

Judge the decision, not the result. People decide well when they believe they will be judged on their reasoning — and telling them so is worthless unless you can reconstruct what they knew at the time.

PDF · 1.5 MB · EDI-WP-05 · v2.0

Decision Impact Analysis

Written for: CFOCDO

What a decision intelligence dataset can honestly tell you, and what it will be sold as. Rigorous about correlation and causation, and candid that the near-term value is descriptive rather than causal.

PDF · 1.5 MB · EDI-WP-06 · v2.0

The Decision-Aware Enterprise

Written for: CEOCOOCIO

Decisions in flight: the only choices an executive can still influence. Every screen you own is a rear-view mirror, and the decisions still open are the ones nobody is watching.

PDF · 1.5 MB · EDI-WP-07 · v2.0

Decision Making Anywhere

Written for: COOCIO

The channel a decision travels on is part of the governance decision, not an afterthought — for the people who are never at a desk when the decision needs taking.

PDF · 1.6 MB · EDI-WP-08 · v2.0

When Micromanagement Is the Right Management

Written for: CEOCOOCHRO

Oversight is a dial, not a character flaw. Proportionate governance and dynamic trust — including the test of whether you could explain a restriction to the person it affects, and when it ends.

PDF · 1.5 MB · EDI-WP-09 · v2.0

The Customer Journey

Written for: CIOTransformation

Connect, Observe, Govern, Learn, Compound — adopting decision governance one decision class at a time. No large organisation should switch it on across its estate in one move.

PDF · 1.5 MB · EDI-WP-21 · v2.0

Enterprise Ontology Management

Enterprise Ontology for Federated Organisations

Written for: Chief ArchitectCIO

One essence, many entities: governments, groups and alliances that must act as one. Why a federation cannot see itself in its own architecture repositories, and what to do instead.

PDF · 1.7 MB · EOM-WP-01 · v0.1

Enterprise Ontology for Inter-Entity Automation

Written for: Chief ArchitectCIO

Why automation across an organisational boundary fails without a shared model, and how to build one that holds. Automation between entities breaks at the seams.

PDF · 1.8 MB · EOM-WP-02 · v0.1

Enterprise Ontology Maturity and Baselining

Written for: Chief ArchitectCDO

How much do you actually know? Measuring completeness and maturity against the entities you choose to be judged by — and the two numbers a federation should never be given as one.

PDF · 1.7 MB · EOM-WP-03 · v0.1

Enterprise Architecture Roadmap Harmonisation

Written for: Chief ArchitectPortfolio

Roadmaps that agree: aligning entity roadmaps across a federation without merging them. Every entity has a roadmap, and none of them agree — harmonisation is not consolidation.

PDF · 1.6 MB · EOM-WP-04 · v0.1

Enterprise Architecture Decision Intelligence

Written for: Chief ArchitectCIO

Decisions with a memory: impact before you decide, lessons after. Architecture decisions are taken, forgotten and then repeated.

PDF · 1.8 MB · EOM-WP-05 · v0.1

Enterprise Culture Evolution

Culture Coaching Without Surveillance

Every serious attempt to change workplace behaviour with software has left a case file: a retreat, a fine, a lawsuit, a wind-down or a trial that found nothing. Red Bear read the file before writing a line of code. This paper names the ways AI coaching and culture technology have failed, from Productivity Score to NEDA's Tessa and from Wells Fargo's values booklet to the nudge units, and shows, rule by rule, how Red Bear: Enterprise Culture Evolution is built so that each failure has no place to happen: an agent triggered by patterns and never by a person, a budget on its own attention, a named human one request away, a dial that has a lever, and evidence before scale.

PDF · 2.3 MB · ECE-WP-01 · v0.1

Culture Analysis Without Individuals

Every organisation already produces the evidence of its own culture: the stories people tell, the decisions that carry a rationale or do not, the post-mortems that name systems or people, the case categories that rise or fall, the units that talk to each other and the units that do not. The temptation is to read that evidence at the level of the person, because that is where the data sits. Red Bear: Enterprise Culture Evolution reads it at the level of the group and nowhere else: seven source families, coded on arrival, aggregated before analysis, combined into one reading from three signal families, and delivered to a named owner as a question, never a verdict. This paper explains what the analysis engine reads, what it discards, how a finding is made, what it is and is not, and why an organisation that wants to know its culture must give up knowing its individuals.

PDF · 2.2 MB · ECE-WP-02 · v0.1

Privacy, Trust and No-Attribution

A culture programme lives or dies on whether staff believe nothing in it can land on them. That belief cannot be created by a policy, a notice or an intent statement, because every programme that ended in a fine, a revolt or a retreat had all three. Red Bear: Enterprise Culture Evolution earns it differently: identifiable rows do not exist after the connector, so no role can export one; no source family reads a signal until workers' representatives have been consulted, the impact assessment exists and staff have been told; and a live consultation view shows representatives, at any moment, what is read, aggregated and retained. This paper sets out the schema, the gate and the view, the law they answer in the EU, Germany, the UK, the UAE and the US, the documented failures each is built to prevent, and the list of things Red Bear will not build.

PDF · 2.2 MB · ECE-WP-03 · v0.1

Breaking Down Silos

Every organisation of more than one unit has a boundary that work falls through: the hand-off nobody owns, the plan two teams made separately, the escalation that reached the other side too late. The literature has a name for the cure, bridging, and a warning about the usual way of finding where it is needed: mapping who talks to whom is the most intrusive thing a workplace instrument can do, and the organisations that did it covertly lost the trust the map was meant to repair. Red Bear: Enterprise Culture Evolution reads the relationship between groups, never between people: interaction density, responsiveness and shared deliverables as unit-level counts, above the floor, from headers the connector has already stripped of every name. Where a pair reads low it proposes a bridge from the catalogue, addressed to both groups' owners, adopted only when both record it, carried on dials that have a lever, and retired if it does not move them. This paper sets out the evidence, the failure mode of the federated organisation, the rules, and the two screens on which a silo becomes a joint practice.

PDF · 1.9 MB · ECE-WP-04 · v0.1

Course data sheets

Red Bear AI Academy programmes, delivered in partnership with Durham University. See the Academy for dates and enrolment.

CTO Leadership of AI Certificate

From experienced IT professional to the technology executive who delivers AI products and leads AI transformation.

PDF · 1.9 MB · For Chief Technology Officers

CAIO Leadership of AI Certificate

From senior technology or data leader to the executive who delivers AI value across the enterprise and leads AI transformation.

PDF · 1.9 MB · For Chief AI Officers

CPO Leadership of AI Certificate

From senior product leader to the executive who delivers AI products and leads an AI-native product organisation.

PDF · 1.9 MB · For Chief Product Officers

Books

The four-book Enterprise Decision Governance series, by Dr Dan Oliver. None is published yet. When each is released it will be listed here; until then the books page has the full description of the series and a way to hear when the first one is out.

The Framework

Written for: CEOCOOCIO

What enterprise decision governance is, and why recording what an organisation decided — and under which rule — turns out to be a different problem from recording what it did.

Book 1 · in preparation

Not yet published

The Use Cases

Written for: COOCFO

Enterprise decision governance in practice, worked through the decision classes where the cost of getting it wrong is easiest to see.

Book 2 · in preparation

Not yet published

The Architecture

Written for: CTOChief Architect

Building enterprise decision governance: the capture routes, the register, the policy engine, and the design decisions each one forces.

Book 3 · in preparation

Not yet published

The Culture

Written for: CEOCHRO

Building a decision culture — why judging decisions by outcome alone teaches people to avoid visible risk rather than to decide well.

Book 4 · in preparation

Not yet published

Product data sheets

Two or three pages each, describing one capability: what it does, how it works, the problem it removes and what gets measured. Start with a suite sheet if you want the whole product in one go.

Enterprise Decision Intelligence

Suite overview

Written for: CEOCIO

Govern every decision, whoever — or whatever — made it. The whole platform in two pages, for people, AI agents and applications.

PDF · 298 kB · EDI-DS-00 · v2.0

Capture

Written for: CIOCOO

The decisions you never knew were made. You cannot govern a decision you never saw, so capture arrives where the decision is actually taken.

PDF · 348 kB · EDI-DS-01 · v2.0

Record and evidence

Written for: AuditRisk

One record of how the business actually decides. Record the judgement, not just the transaction it produced.

PDF · 375 kB · EDI-DS-02 · v2.0

Decision support and context

Written for: COOClass owners

The questions that surface what a decision really costs: context, precedent and the four Cartesian questions, in front of the person deciding.

PDF · 349 kB · EDI-DS-03 · v2.0

Delegation, policy and agent authority

Written for: CEOChief AI Officer

Set the guardrail once, then widen the dial as it is earned. A rule about risk and a judgement about a team are not the same setting.

PDF · 384 kB · EDI-DS-04 · v2.0

Routing, intervention and escalation

Written for: COORisk

Stop the wrong decision without stopping the business. Escalation is a routing decision, not a full stop.

PDF · 372 kB · EDI-DS-05 · v2.0

Reach: presence, delegation and notification

Written for: COOCHRO

The gate exists on paper — is anybody behind it? Routing decides who should decide; reach decides whether they are there.

PDF · 342 kB · EDI-DS-06 · v2.0

Outcomes, learning and stalls

Written for: CEOCFO

Find out whether your decisions were any good. A bad outcome and a bad decision are not the same thing.

PDF · 374 kB · EDI-DS-07 · v2.0

Platform and service

Written for: CIOCISO

Measure first, enforce second, automate last. An enterprise will not run a decision system it cannot administer or isolate itself.

PDF · 366 kB · EDI-DS-08 · v2.0

Alpha Engine

Suite overview

Written for: PartnerCIO

Where sector expertise compounds. The deal-to-value lifecycle for private equity, from first signal to exit.

PDF · 370 kB · INV-DS-00 · v3.0

Find

Written for: AnalystOrigination

Find what matters, question everything. Sourcing, screening and cited data-room research — the assembly disappears, the judgement stays.

PDF · 364 kB · INV-DS-01 · v2.1

Predict

Written for: PartnerOperating partner

What actually creates value, rather than what merely correlates with it. Model the investments under consideration, singly or combined.

PDF · 352 kB · INV-DS-02 · v2.1

Validate

Written for: Deal teamDiligence

Buy only the answers you do not already have. Work out what the firm genuinely does not know, and rank it by whether it would change the decision.

PDF · 351 kB · INV-DS-03 · v2.1

Decide

Written for: Investment committee

Judge the decision, not just the outcome. The alternatives, the evidence and the forecast frozen at the moment of the call.

PDF · 351 kB · INV-DS-04 · v2.1

Own

Written for: Operating partner

The thesis has to survive the deal. Five per cent of a fund's life happens before completion; this is the other ninety-five.

PDF · 349 kB · INV-DS-05 · v2.1

Learn

Written for: PartnerCIO

Every investigation makes the next one smarter. Predictions scored against what happened, with attribution that separates the lever from the market.

PDF · 353 kB · INV-DS-06 · v2.1

Protect

Written for: CISOCompliance

Your data, your jurisdiction, your control. Three hosting models, so residency is a decision you make rather than a limitation you inherit.

PDF · 367 kB · INV-DS-07 · v2.1

Solution packs and maturity

Written for: Operating partner

The playbook, written down. What your best operating partner knows about fixing a business, as a pack reviewed before it goes live.

PDF · 565 kB · INV-DS-08 · v1.0

Human-in-the-loop review and predictive learning

Written for: PartnerAnalyst

The system proposes; a named person decides. Everything significant the system generates carries a confidence and a route to a human.

PDF · 568 kB · INV-DS-09 · v1.0

Enterprise Ontology Management

Suite overview

Written for: Chief ArchitectCIO

One essence, many entities. A continuously maintained architectural intelligence system for a group of organisations that must act as one.

PDF · 341 kB · EOM-DS-00 · v1.0

Knowledge and evidence

Written for: Chief ArchitectCDO

Where every fact comes from, and how sure we are. Nothing enters the model without a source, and nothing becomes a fact without a person.

PDF · 363 kB · EOM-DS-01 · v1.0

Understanding the enterprise

Written for: Chief Architect

How much we know about each entity, and how it stays true. Discover the entities, gather what is known, and keep it current as they change.

PDF · 361 kB · EOM-DS-02 · v1.0

Analysis

Written for: CIOPortfolio

Where entities overlap, what a change will break, and how mature each one is — the questions an executive cannot answer today.

PDF · 362 kB · EOM-DS-03 · v1.0

Decisions and recommendations

Written for: Chief ArchitectGovernance

Recommendations with their reasons, decisions with their evidence and outcome. The product proposes patterns; people decide.

PDF · 366 kB · EOM-DS-04 · v1.0

Roadmap and governance

Written for: Chief ArchitectPortfolio

Roadmaps that converge, partners that are known, and a named person behind every approval.

PDF · 351 kB · EOM-DS-05 · v1.0

Enterprise Culture Evolution

Suite overview

From a blame culture to a learning culture

PDF · 323 kB · ECE-DS-00 · v0.1

Principles and Culture Dials

Choose five. Choose three. Give each a lever.

PDF · 320 kB · ECE-DS-01 · v0.1

Signal intake

What people experience, kept only as a pattern

PDF · 294 kB · ECE-DS-02 · v0.1

Findings and patterns

What is behind the reading, framed as a question

PDF · 313 kB · ECE-DS-03 · v0.1

Coaching

A question, not a verdict

PDF · 322 kB · ECE-DS-04 · v0.1

Programme and communications

A plan behind the poster

PDF · 310 kB · ECE-DS-05 · v0.1

Health monitoring

A year before the exit interview

PDF · 317 kB · ECE-DS-06 · v0.1

Measuring the programme

Did anything move?

PDF · 322 kB · ECE-DS-07 · v0.1

Governance, consultation and administration

Told before, not after

PDF · 321 kB · ECE-DS-08 · v0.1

Want the long form?

The four-book Enterprise Decision Governance series sets out the framework these papers draw on.