Tacilent Analytic Standards (TAS)

Operating Standard

Tacilent does not optimize for classified-style nice-to-know reporting or generic news summaries. Tacilent optimizes for actionable intelligence tied to the most critical business decisions involving loss, downtime, fines, disruption, resilience, and enterprise value. Every output must be objective, timely, based on available sources, and independent from commercial bias, while implementing the tradecraft disciplines required by ICD 203 for source quality, uncertainty, assumptions, alternatives, relevance, logic, consistency, accuracy, and visual clarity. Every output must also answer core executive questions: am I impacted, what do I do about a risk, how much will a risk cost, and what happens if no action occurs. Tacilent value increases when analysis identifies cross-domain dependencies across suppliers, systems, people, operations, regulation, and reputation — then connects external events to internal exposure with precision.

How AIQ Is Calculated

AIQ — the Analytic Intelligence Quotient — is Tacilent's 1–10 measure of assessed risk severity for each domain. It is not a vibe or a single analyst's guess; it is a structured function of two calibrated inputs, scored the same way every time.

1. 1. Likelihood. We rate how probable a risk is using calibrated bands tied to explicit probability ranges: Remote, Unlikely but Plausible (10–30%), About as Likely as Not (30–60%), Likely, and Certain. Bands — not point estimates — prevent false precision.
2. 2. Impact. We rate consequence severity in bands — Low, Moderate, Significant, Severe, Critical — anchored to quantified exposure in dollars, downtime, regulatory penalty, and enterprise-value impact, so "Significant" means a defined range, not an adjective.
3. 3. Domain AIQ (1–10). Likelihood and impact are combined into a single 1–10 AIQ per domain [CONFIRM: state the exact combination/weighting Tacilent uses, e.g. a likelihood×impact matrix mapped to the 1–10 scale]. Higher AIQ = greater assessed severity.
4. 4. Composite AIQ. Domain scores roll up into a single Composite AIQ for the entity [CONFIRM: whether composite is the max, the weighted average, or another method].
5. 5. Residual AIQ. We re-score each domain assuming the recommended mitigations are implemented. The gap between AIQ and Residual AIQ is the measurable value of acting.
6. 6. Exposure & Remediation. Each domain carries a dollar Risk Exposure range and an estimated remediation cost, so leaders can weigh cost-to-fix against cost-of-inaction.
7. 7. Research Quality. Every AIQ is published with a research-quality rating — Full, Standard, Limited, or Insufficient — reflecting how well-corroborated the underlying sourcing is. The score tells you the risk; the rating tells you how much to trust the score.

This is why two Tacilent assessments of the same company produce comparable numbers: the inputs are banded, the method is fixed, and every judgment is sourced and rated.

Training Doctrine

Agents are trained on the intelligence cycle so collection starts from a defined requirement, raw data is processed into usable evidence, analysis produces reasoned judgments, and dissemination is tied to decision-maker action. Agents are trained across collection disciplines and domains — OSINT, HUMINT-informed methods, SIGINT-adjacent signal interpretation, GEOINT, MASINT-style signature thinking, and cyber collection concepts — then fused into commercial domains such as cyber, technology, operations, safety, people, reputation, and financial risk. Training includes quantification methods so outputs connect threat indicators to probable financial loss, outage duration, regulatory penalty exposure, resource requirements, scenario-based business impact analysis, dependency mapping, and internal-versus-external risk pathways.

Order of Effects

Tacilent's proprietary predictive analytics framework centers on order-of-effects analysis — moving beyond immediate success metrics to evaluate second-, third-, and ultimately fourth- through tenth-order effects over five-to-twenty-year horizons. The framework embeds ISIADW-PM methodology: identifying the threat, substantiating the intelligence question, implementing the research plan, analyzing long-term indicators, distributing warning, preparing resources, and mitigating outcomes. Informed by the national-security tradecraft of Ron Johnson, CEO + Chief Analyst, Tacilent applies this logic to commercial decisions so agents surface what matters, why urgency exists now, which indicators require monitoring, which actions deserve priority, what delayed action may cost over time, and how one risk domain may cascade into another through hidden dependencies.

AI Multiplier

Tacilent uses AI as a 10x force multiplier for national-security tradecraft. Work once requiring 100-plus analysts, days, and weeks of collection and synthesis can now be executed by coordinated agents in minutes while preserving structure, sourcing, order-of-effects analysis, and warning discipline. Agent teams support collection, domain analysis, threat analysis, risk advisory, and quantification at machine speed — allowing leaders to receive faster answers on impact, action, cost, do-nothing scenarios, cross-domain dependencies, and internal-versus-external exposure without abandoning analytical rigor.

Manifesto

Tacilent's ontology holds private-sector risk intelligence to a multi-domain intelligence-entity model, staffed and trained by national-security risk experts but directed at commercial consequences rather than passive awareness. The company standard is disciplined collection, explicit sourcing, structured argumentation, alternative analysis, warning-indicator development, consequence mapping, dependency analysis, internal-and-external risk correlation, and quantification aimed at outperforming weak industry tooling and approaching the rigor expected in classified environments without claiming classified access. The end state is simple: intelligence must help leaders decide and act under pressure. If a report does not change a decision, reduce loss, protect value, improve timing, quantify consequences, or expose hidden dependencies across domains, the report fails Tacilent standards.

Works Cited

• ODNI — ICD 203: Analytic Standards
• Intelligence.gov — Objectivity
• ICD 203 archive copy
• Naval War College LibGuides — The Intelligence Cycle / Collection of Intelligence / Types of Intelligence Collection
• Ron H. R. Johnson — "The Long-Term Impact of the U.S. Intelligence Community's and Special Operation Forces' Covert Operations in Iraq, Afghanistan, and Syria"
• Army University Press — Analytic Tradecraft Standards