>> The Resolution Deficit

From a systems perspective, the Resolution Deficit is the gap between the rate at which the world produces conflict‑relevant information – emails, chats, memos, press lines, diplomatic cables, community threads – and the rate at which humans can realistically parse, model and act on it.

Whether you are mediating a ceasefire, chairing a corporate board, running an HR investigation or trying to de‑escalate a family dispute, the pattern is the same: the communication surface explodes, while the people tasked with resolution still think line‑by‑line. Tacitus uses AI‑led conflict resolution technologies to ingest, organise and model that overflow, so that the evolution of a conflict can be followed – and shaped – across scales: geopolitical, organisational and personal.

Entropy Surface

Reply‑all storms and Slack fragments mapped as one field.

Signal Extraction

Claims and red lines lifted out of the noise.

Explainability

Traceable back to specific threads. No opaque scores.

>> Where Tacitus Lands

Diplomatic & Multilateral Mediation

Tacitus: Ingests back‑channel emails, draft texts, media lines and mission reports around a peace process or ceasefire. Maps factions, guarantees, spoilers and red lines into a conflict graph, exposing resolution corridors that respect mandates while reducing the risk of collapse.

Corporate Boards & Founder Disputes

Tacitus: Reconstructs who holds which risk, authorship and recognition claims across board emails, investment memos and legal correspondence. Separates positional quarrels over equity from deeper interests, and identifies ZOPA‑like spaces for governance reform and credit‑sharing.

Workplace & Union Conflicts

Tacitus: Reads grievance chains, HR notes and union communications; distinguishes concrete demands (wages, hours, safety) from symbolic ones (respect, trust, recognition). Surfaces settlements that meet hard constraints while addressing the underlying narrative of fairness.

Regulation, Infrastructure & Public Finance

Tacitus: Connects ministries, regulators, contractors, auditors and funders into one conflict graph for major projects. Shows how vetoes, timelines and corruption fears interact, and helps design phased agreements that keep projects moving without sacrificing oversight.

Polarized Campaigns & Civic Space

Tacitus: Uses the Prism Lab pipeline to segment audiences, model echo chambers and detect narrow overlaps in values. Recommends messages and institutional moves that de‑escalate abstract anger while preserving meaningful disagreement.

Family Businesses & Inheritance Disputes

Tacitus: Treats emails, letters and meeting notes around succession as a small but dense conflict system. Distinguishes financial claims from generational fears, tracks alliances and resentments, and suggests options that preserve both continuity of the business and dignity of the people involved.

>> How the Engine Thinks at Scale

Tacitus is not a chatbot with a pretty skin. It is a stacked inference system: multiple knowledge pipelines, specialised agents, a conflict ontology, a graph database and a retrieval layer working together on top of your communication data.

Knowledge Pipelines

Read‑only connectors pull in email, memos, minutes, PDFs, curated news feeds and structured data. Text is normalised, de‑duplicated and enriched with conflict‑aware metadata (actor hints, time, channel, escalation level). Each pipeline can be tuned to a context: Syria, a boardroom, a labour dispute, a family business.

Ontology & Graph Agents

A dedicated Ontology Agent extracts actors, interests, constraints, red lines and guarantees, and writes them into a property graph. Facts live in vector stores; structure lives in the graph. This is where Tacitus learns how your conflict actually works.

Casebook Builder

A separate agent turns graph snapshots into case files: human‑readable narratives that explain who wants what, where the system is brittle and where common ground is plausibly available. These become the briefing backbone for diplomats, executives or mediators.

Resolution Layer

Finally, a reasoning agent queries both graph and vectors under your mandate and risk tolerance, searching for feasible resolution corridors. Only once structure is clear does Tacitus propose concrete moves – a small set of defensible pathways rather than a firehose of unstructured suggestions.

For investors and technical teams: this architecture is cloud‑native and composable. In practice, Tacitus can run as a private deployment in your own VPC, with vector search (for example, Vertex AI or pgvector) coexisting with a graph engine (for example, Neo4j‑style or equivalent) behind a single email‑native interface.