How Do Enterprise AI Maturity Frameworks Map onto the LLM Consumption Ladder?
How do theoretical frameworks of enterprise Artificial Intelligence (AI) / generative AI maturity map onto the observed, practice-driven progression of large language model (LLM) consumption strategie…
Secure Runtime Evolution for AI Coding Agents
What is the logical progression in AI (Artificial Intelligence) coding-agent runtime design from local process/Operating System (OS) sandboxes, through shared Continuous Integration (CI)/cloud develop…
Migration trade-offs from vector Retrieval-Augmented Generation to…
What are the performance, cost, scalability, and practical trade-offs of migrating from traditional vector-based Retrieval-Augmented Generation (RAG) systems to ontology-backed Knowledge Graph Retriev…
How does local optimisation of team- and role-level tooling in knowledge work…
How does local optimisation of team- and role-level tooling in knowledge work reduce organisation-level throughput, and which interdependencies determine when local gains become global losses?
Enterprise software pricing concessions, switching costs, and exit leverage
How do enterprise software vendors use upfront pricing concessions to increase switching costs over contract lifecycles, and what abstraction or architectural investment strategies demonstrably reduce…
How have software-development commit trends shifted across repository creation,…
What do high-quality longitudinal studies (2019–2026) show about directional shifts and current baseline ranges for repository creation rate, Lines of Code (LOC) velocity, rework share, project abando…
Q6: Leading indicators of instability in split-authority flow systems
Which metrics best predict unsafe queue growth, rising delivery risk, or hidden demand accumulation in a split-authority delivery system, where "split-authority" means a context in which authority is…
Q5: Control model for the best throughput-risk trade-off
When should the system use pre-approval, bounded delegation with guardrails, or post-hoc review and exception escalation?
Q4: Decision rights that should move closer to execution
Which decisions about sequencing, scope, reliability, technical debt, local spend, and incident response must sit with delivery teams to reduce delay without losing control?
Q3: Routing design that isolates exceptions from routine flow
What intake, triage, queueing, escalation, and routing model allows routine work to move quickly while isolating high-risk or ambiguous work?
Q2: Demand segmentation for fast-path vs controlled-path flow
Which work items are low-risk, standard, and reversible enough for fast-path handling, and which require slower expert review or tighter controls?
Q1: Dominant flow constraint in split-authority delivery systems
What is the dominant source of delay and instability in split-authority delivery systems: capacity shortage, dependency coupling, approval latency, funding gates, or fragmented decision rights?
A spl…
Operating model synthesis for split-authority delivery systemssynthesis
What operating model improves throughput while reducing delivery risk in a split-authority environment, where "split-authority environment" means a delivery context in which authority is divided among…
Funding authority and delivery-risk accountability split
What governance and commercial structures best preserve delivery velocity, delivered quality, delivered risk control, delivery cost, and total cost of ownership when funding authority sits with a part…
Barriers to governance reform, leadership failure modes, and reform mechanisms…
What institutional and organisational barriers prevent effective governance reform in regulated enterprises, through what leadership failure modes are dysfunctional controls perpetuated, and by what m…
Failure mechanisms of internal governance controls
Through what mechanisms do internal governance controls in regulated enterprises transition from coordination cost minimisers to sources of bureaucratic inefficiency and informal circumvention, and wh…
Conditions under which internal governance controls minimise coordination costs…
Under what institutional and transaction-specific conditions do internal governance controls in regulated enterprises function as genuine minimisers of coordination costs rather than sources of bureau…
What Are the Micro-Transaction Costs of Internal Knowledge Sourcing?
What micro-transaction costs are borne by knowledge seekers and providers during internal peer-to-peer transfers, and how do these costs shift the choice between self-solving ("make") and help-seeking…
Longitudinal persistence rates after gap closure for low-code applications,…
What longitudinal evidence exists on persistence rates after the original gap is closed for low-code applications, bots, and agents in live enterprise estates?
Governance structures that support investment in delivery capability without…
Under what governance conditions can investment in building durable delivery capability be made reliably without placing risk, cost, and benefits accountability under one owner, and what minimum autho…
Variance Control Comparison Across Delivery Modes
What is the empirical failure-rate distribution of Artificial Intelligence (AI)-assisted code that has passed a standard software delivery pipeline compared with AI-agent-executed business processes a…
Information Technology (IT) throughput capacity as a constraint on unmet…
What is the empirical relationship between Information Technology (IT) throughput capacity and the rate at which unmet operational capability needs accumulate across comparable organisations, and what…
Temporary Automation Demand Persistence and Core Capability Investment…
What evidence exists that temporary automation workarounds displace investment in core software delivery, and what is the observed persistence rate of those workarounds after the underlying systems ca…
Agent Operational Cost vs Gap Closure Cost
What is the fully loaded operational cost of a production Artificial Intelligence (AI) agent used as a workaround for a missing system capability, relative to the cost of closing the underlying system…
Separated Risk, Cost, and Benefits Accountability Across Business Units
What failure modes have been empirically observed in organisations where accountability for risk, operational cost, and benefits realisation are held in separate business units (BUs) rather than co-lo…
Graph database landscape
For the hosted graph database platforms identified in the 2026 Software-as-a-Service (SaaS) knowledge-ontology research, Neo4j AuraDB, Amazon Neptune, Stardog Cloud, Ontotext GraphDB, and Memgraph Clo…
Hardware load and Large Language Model (LLM) inference performance
How does hardware resource load, Central Processing Unit (CPU), Graphics Processing Unit (GPU), and memory pressure, affect Large Language Model (LLM) inference performance, specifically latency, thro…
Practical Limits of Large Language Model (LLM) Determinism
What are the practical limits of making LLM (Large Language Model)-based decisions or policy enforcement deterministic, even with temperature=0, fixed seeds, and constrained prompts?
Build vs improve tradeoff
Given constrained engineering capacity, how should organisations allocate effort between (1) building features within an existing system and (2) improving the system itself (tooling, process, architec…
What metrics beyond code acceptance rates best capture net organisational value…
What metrics beyond code acceptance rates and lines of code best capture net organisational value when Artificial Intelligence (AI) coding tools such as GitHub Copilot are adopted with productivity ma…
How do open-weight policy enforcement reasoning models, exemplified by OpenAI's…
How do open-weight, meaning released-weight and self-hostable, policy enforcement reasoning models, exemplified by OpenAI's gpt-oss-safeguard, classify text against strict, customizable policies, and…
What architectural capabilities and contractual conditions are required to…
What architectural capabilities and contractual conditions are required for an enterprise to maintain multi-platform portability and mitigate Artificial Intelligence (AI) vendor lock-in risk from: Mic…
Vendor-agnostic enterprise Artificial Intelligence (AI) capability model
What is the complete set of architectural capabilities required to run Artificial Intelligence (AI) safely at scale in a regulated enterprise, how do Microsoft's Copilot family (Microsoft 365 Copilot…
Strategic versus tactical roles in Artificial Intelligence (AI)-augmented…
In an Artificial Intelligence (AI)-augmented software team, what is the optimal division of labour between the human developer, who owns strategic design, interface definition, and architectural overs…
Fundamentals-first versus specs-to-code
What empirical patterns emerge when comparing real-world software projects built with a strict fundamentals-first Artificial Intelligence (AI) workflow, structured alignment, modules with simple inter…
Anthropic Claude Teams or Enterprise vs Microsoft 365 Copilot Coworksynthesis
How do Anthropic Claude, specifically the Team and Enterprise plans, and Microsoft 365 (M365) Copilot Cowork compare across capability, pricing, user experience, and guardrails, and what are the secur…
Which software categories face declining demand versus increasing demand as…
As Artificial Intelligence (AI) coding agents, such as Anthropic Claude Code, OpenAI Codex, and GitHub Copilot Workspace, make custom software generation materially cheaper, which categories of commer…
What is the cost, performance, and delivery impact of governance controls on AI…
What is the cost, performance, and delivery impact of governance controls on AI and low-code development, specifically, what economic model quantifies the trade-offs between governance strength and de…
Multi-provider AI control planes
Which platforms or architectural designs provide multi-provider Artificial Intelligence (AI) control planes that unify discoverability, oversight, logging, security, data-access control, Financial Ope…
Shopify's Artificial Intelligence (AI) strategy after the Red Queen memo
What is Shopify's explicit Artificial Intelligence (AI) strategy as evidenced by Toby Lütke's "prove AI cannot do it before you hire" memo and follow-on operating decisions, and how has that strategy…
The shape of organisations when software is no longer the constraint
Inside an organisation that requires software to be built, integrated, and maintained (including Commercial Off-The-Shelf (COTS) systems, Software-as-a-Service (SaaS) platforms, and bespoke-built syst…
AI Funding and Capital Investment Landscape
Which Artificial Intelligence (AI)-related and tech companies are receiving and deploying capital investment in 2023-2026, who the major investors are, where investment is concentrated, and what actio…
Backpressure Infrastructure and the Theory of Constraints
What is backpressure infrastructure, specifically as it pertains to the Theory of Constraints (TOC), and what does academic research and real-world white papers say about its practical application?
TimesFM and the Landscape of Time-Series Foundation Models
What are the practical use cases for TimesFM (Google's pretrained time-series foundation model), who is doing comparable work, and how does the foundation-model paradigm extend to other structured dat…
The measurement asymmetry
Why is measuring opportunity cost systematically harder than measuring direct costs, and what cognitive and structural mechanisms cause organisations to destroy value while claiming efficiency gains?
Cost reduction is not a strategy
Why is cost reduction insufficient as a business strategy, and how does framing artificial intelligence (AI) primarily as a cost-cutting tool risk destroying value through missed opportunities?
The Software Factory
If the cost of producing high-quality, standardised, integrated software is approaching zero — as Artificial Intelligence (AI) coding agents and software factory patterns suggest — what must organisat…
Invariants in Software as a Service (SaaS) Banking Software
What capabilities do enterprise Software as a Service (SaaS) banking platforms (principally Salesforce Financial Services Cloud (FSC) and nCino) provide as true invariants - independent of customer im…
Hosting options for the Research repo
What is the best free or very-low-cost hosting option for this research repository that supports full-text search, and optionally vector/graph database capabilities, without requiring SEO, custom DNS,…
Best practices in financial forecasting for IT operational run costs
What are the established best practices for financially responsible forecasting of Information Technology (IT) operational run costs — covering cost estimation by technology and infrastructure type, r…
AI inverted the knowledge-work scarcity equation
Before Artificial Intelligence (AI), throughput (volume of output) was the binding constraint on knowledge work. AI has
dramatically reduced the cost of generating output. Does the evidence support th…
Force multiplier, not cost reducer
When Artificial Intelligence (AI) multiplies the productive capacity of each person by 5–10x, organisations face a
strategic choice: reduce headcount to cut costs, or redeploy the same people against…
The Nature of the Firm
Why do organisations (firms and business units) exist when markets are theoretically efficient? What are the fitness functions and invariants that determine when organisational form is the correct coo…
LanceDB index rebuild speed from git
Can the LanceDB index be rebuilt from the `.md` files in the repo on startup fast enough to enable stateless (per-request) deployment? Measure rebuild time at: current corpus size, 100 files, 500 file…
How organisations practically implement IT RUN vs BUILD cost allocation
How have organisations actually implemented a working RUN vs BUILD IT cost allocation — specifically: how did they agree on what counts as an "application", how did they get consistent work-item taggi…
RUN vs BUILD IT spending allocation in non-IT primary businesses
How do non-IT primary businesses (manufacturing, retail, finance) calculate and apportion IT spending between RUN (nondiscretionary operational sustainment) and BUILD (discretionary strategic enhancem…
Enterprise Artificial Intelligence (AI) efficiency programme outcomes
Which published AI strategies — corporate, national, or sector-specific — are explicitly designed around business efficiency as the primary objective, what measurable outcomes have they produced, and…
Context Mode: MCP tool output compression and the LLM context window management…
What is Context Mode's architecture and actual effectiveness for compressing MCP tool outputs in Claude Code, what are its real-world limitations (especially regarding MCP tool interception), and what…
Jevons Paradox: efficiency gains, demand rebound, and the falling cost of…
How does Jevons Paradox operate across different sectors historically, what are the conditions under which cost or efficiency improvements *do not* increase total demand, and what do current thinkers…