Decide is the category of leadership, judgment, and action.
This is the layer where communication drives outcomes rather than simply describing them. In the Intradiegetic framework, the quality of decisions — and the speed at which they are made and executed — depends entirely on how information flows, how roles are designed, and how human judgment is positioned relative to AI agents.
Most large organisations carry an invisible decision debt: ambiguous ownership, approval chains that slow action, information that arrives late or in the wrong format, and AI tools bolted onto existing decision workflows rather than redesigned around them. McKinsey’s analysis is clear: high-performing organisations are nearly three times more likely to have significantly redesigned individual workflows end-to-end. A parallel MIT study found that 95 percent of generative AI pilots have no measurable impact on the bottom line, with most failures attributed to brittle workflows and misalignment with day-to-day operations.
Decide work at Intradiegetic redesigns the decision architecture — who is above the loop, within the loop, and on the loop — so that AI reduces friction while human judgment is protected at the points where positioning, accountability, and strategic interpretation are irreplaceable.
Services
Human–AI Decision Architecture
Intradiegetic redesigns the decision architecture of the communication function and, where mandated, of the broader enterprise — mapping each category of decision and designing the right human-to-AI relationship for each one: above the loop, within the loop, on the loop. The output is a working operational model with defined decision rights, escalation paths, AI agent roles, and audit mechanisms. Organisations that redesign workflows end to end rather than simply automating existing processes are the ones generating measurable EBIT from AI.
Operational Efficiency Initiative Design
Intradiegetic identifies, structures, and builds the business cases for high-ROI operational efficiency plays across the communications and business support value chain — developed through engagements with global organisations including Bain & Co. Each initiative is designed with quantified savings, implementation timelines, risk analysis, and mitigation plans ready for investment committee sign-off. Areas covered include: event management (10–20% cost savings, 30% faster processing); generative AI content workflows (50% time reduction, 35% cost savings); enterprise knowledge management (25% productivity gain); automated gifting (40% cost reduction, 300% speed increase); and government relations integration.
Change & Transformation Communications
Restructurings, AI adoptions, operating model shifts, and market entries fail or succeed on the quality of their communication. Intradiegetic turns complex transitions into coherent journeys — with a narrative architecture that frames the inflection points, explains the direction, and gives employees and stakeholders a clear understanding of what is changing, why, and what to expect. Up to 39% of change programmes fail due to employee resistance alone. The antidote is not more messaging — it is better architecture for how meaning moves through the organisation during high uncertainty.
Knowledge Management System Design & Operating Model Alignment
Knowledge loss at project handoffs, inconsistent decision-making, and duplicated KM effort across functions are among the most expensive operational inefficiencies in large organisations. Intradiegetic designs knowledge management systems and the operating model governance that makes them work — including the change management and executive sponsorship frameworks without which KM implementations consistently fail. KM systems not embedded in everyday business processes and backed by visible senior leadership are effectively destined to fail. Intradiegetic addresses the architecture and the adoption problem simultaneously.
Government Relations Integration & Policy Intelligence
When embedded upstream in commercial planning and product roadmaps, GR is one of the highest-ROI investments an organisation can make. When it operates reactively, it is an expensive liability. Intradiegetic integrates GR into the strategic planning cycle, enabling organisations to simultaneously monitor 1,700+ legislative items, align GR priorities to commercial goals, and access public grants, PPP funding, and policy influence opportunities that reactive functions miss entirely.
Offers
Decision Architecture Sprint (10–12 weeks)
Identify 3–5 high-value decision categories. For each: map the current decision flow; diagnose where friction, ambiguity, or AI misalignment is creating cost or delay; design the new human–AI decision architecture with clear roles (above/within/on the loop); and run live tests to prove time-to-decision and cost improvements. Deliverable: a working decision architecture with defined decision rights, AI agent roles, escalation protocols, and governance documentation. A live operating model, not a framework document
Operational Efficiency Portfolio (6–10 weeks)
Structured identification and business case development for 3–8 operational efficiency initiatives across the communications and business support value chain. Each initiative delivered with: quantified savings and ROI projections; implementation timeline and phasing; risk assessment and mitigation plan; and investment committee narrative. Ready for executive sign-off and immediate implementation.
Change & Transformation Communication Programme (project or retainer)
End-to-end communication design and delivery for a major transition: AI adoption, restructuring, operating model shift, M&A, or market entry. Includes: change narrative architecture; stakeholder mapping and message customisation; communication calendar and channel plan; leadership communication coaching; and a pulse-feedback mechanism to measure adoption and adjust in real time.
Knowledge Management Design & Implementation (3–12 months)
Phase 1 — governance design, taxonomy architecture, executive sponsorship activation, and pilot deployment (2–8 weeks).
Phase 2 — full rollout with change management, training, and adoption support (30–90 days).
Phase 3 — sustained adoption monitoring and content quality governance (ongoing). Structured to address the six most common causes of KM failure identified in implementation research.