Always-on signalling that turns critical surprises into auditable action.

i2ntelligence designs and operates bespoke intelligence systems that detect meaningful deviations, package evidence, route actions to accountable owners, and record outcomes in an institutional register.

  • Decision packets, not dashboards
  • Minimal attention required; maximum impact delivered
  • Discreet by default. Governed by design.
Request private briefing See how it works

Boutique capacity. Senior-led. Confidential by default.

Action Inbox Live
Select a decision packet

Built for high-stakes teams

Signals are everywhere. Decisions still lag.

  • Fragmented signals create noise, not clarity
  • Dashboards surface data but don't route responsibility
  • Teams miss windows because execution isn't governed
  • Institutional environments require traceability and auditability

How it works

A continuous loop from signal to action to institutional record.

01

Ingest

Signals from public, licensed, and client-provided sources flow into a unified intake layer.

02

Detect

Meaningful surprises are identified—deviations that matter, not noise that distracts.

03

Route

Decision packets are delivered to accountable owners with clear SLAs and escalation paths.

04

Register

Outcomes are recorded in an institutional register for auditability and learning.

What qualifies as a meaningful surprise? +
A meaningful surprise is a deviation from expected baseline behavior that has potential to affect decisions, valuations, or risk posture. This is defined collaboratively during the design sprint and encoded into detection rules—not left to generic algorithms. Examples include material narrative shifts, unexpected counterparty movements, regulatory filings, or operational signals that breach defined thresholds.
How routing and SLAs work +
Each decision packet is tagged with a severity level, domain, and accountable owner. Routing rules define who receives what, when, and through which channel. SLAs specify expected acknowledgment and action windows. Escalation paths activate automatically if thresholds are breached without response. All routing logic is configured per engagement and reviewed regularly.
What gets recorded in the register +
The Decision Register captures: the original signal, the generated packet, routing metadata, owner acknowledgment, actions taken, and outcome notes. This creates an auditable trail for governance review, pattern analysis, and institutional learning. The register is not a log—it is a first-class artifact designed for oversight.

Use cases

Tailored signal coverage and routing for distinct decision environments.

Typical Signals
  • Demand shifts and channel position changes
  • Narrative and reputation movement
  • Competitor activity and market shifts
  • Operational KPI deviations
  • Key personnel changes
Routed Actions
  • Route to operator or portfolio lead
  • Issue brief to investment committee
  • Request evidence or clarification
  • Escalate to risk function
  • Log decision and rationale
Outputs
  • Decision packets with evidence
  • Weekly governance register
  • Executive summaries
  • Escalation audit trails
Typical Signals
  • Emerging risks and strategic threats
  • Material narrative events
  • Performance deviations vs plan
  • Regulatory and compliance shifts
  • Stakeholder sentiment changes
Routed Actions
  • Brief board or executive team
  • Trigger governance escalation
  • Confirm management response
  • Request scenario analysis
  • Document board-level decision
Outputs
  • Board-ready briefing packs
  • Governance register entries
  • Risk and opportunity summaries
  • Decision audit trails
Typical Signals
  • Portfolio risk markers
  • External events affecting holdings
  • GP and fund manager changes
  • Counterparty and co-investor activity
  • Market regime shifts
Routed Actions
  • Request clarification from GP
  • Run scenario or stress brief
  • Route to advisor or CIO
  • Document position rationale
  • Trigger rebalancing review
Outputs
  • Curated high-signal briefs
  • Decision register entries
  • Portfolio watch summaries
  • Advisor coordination notes
Typical Signals
  • Entity and corporate structure changes
  • Litigation and filing events
  • Narrative and media shifts
  • Key stakeholder movements
  • Regulatory enforcement actions
Routed Actions
  • Route to counsel or investigations lead
  • Preserve evidence packet
  • Prepare memo or briefing
  • Escalate threshold events
  • Document chain of custody
Outputs
  • Evidence-backed decision packets
  • Investigation registers
  • Timeline reconstructions
  • Audit-ready documentation
Typical Signals
  • Adverse media mentions
  • Sanctions and PEP list changes
  • Counterparty risk events
  • Ownership structure changes
  • Jurisdiction and regulatory flags
Routed Actions
  • Route to compliance owner
  • Create case file and packet
  • Escalate to MLRO or legal
  • Record decision with rationale
  • Trigger enhanced due diligence
Outputs
  • Governed monitoring decisions
  • Traceable case registers
  • Escalation audit trails
  • Compliance-ready reporting
Typical Signals
  • Strategic landscape shifts
  • Entity activity pattern changes
  • Narrative operations indicators
  • Supply chain and infrastructure signals
  • Geopolitical and regional markers
Routed Actions
  • Route to analyst or function lead
  • Generate brief with provenance
  • Escalate with full evidence chain
  • Document assessment and sources
  • Update standing intelligence estimate
Outputs
  • Decision packets with evidence
  • Intelligence registers
  • Threat and opportunity briefs
  • Assessment audit trails

Designed for lawful monitoring using public, licensed, and client-provided sources. Outputs are human-reviewed decision packets with audit trails.

Security, Governance, and Auditability

Designed for high-stakes environments with appropriate controls.

Data Isolation & Access Controls

Client environments are logically separated. Access is governed by defined roles and permissions, configured per engagement requirements.

Encryption & Secure Handling

Data is encrypted in transit and at rest using industry-standard protocols. Handling procedures are documented and aligned with client security policies.

Evidence & Provenance

Decision packets include source attribution and provenance metadata. We implement verification layers to reduce hallucination and ensure traceability.

Severity Taxonomy & SLAs

Signals are classified by severity with corresponding response windows. Escalation rules are defined collaboratively and enforced systematically.

Decision Register

All decisions, routing events, and outcomes are recorded in an auditable register designed for governance review and institutional learning.

Human Review

Outputs are human-reviewed advisory packets, not autonomous actions. Final decisions remain with accountable client owners.

Security and governance measures are delivered to client-defined requirements. We aim to meet or exceed state-of-the-art practices where feasible.

Bespoke by design. Operated with discipline.

Engagements are iterative and hands-on, not templated deployments.

Phase 1

Design Sprint

Discovery and threat/decision model development. We define what matters, who owns it, and how surprises should be classified.

Outputs: Decision taxonomy, owners map, surprise definitions, initial signal rails
Phase 2

Prototype & Iterate

First decision packets delivered. Rapid feedback loop to tune detection, routing, and format to your operating rhythm.

Outputs: Inbox prototype, evidence drawer format, initial register
Phase 3

Deploy & Operate

Run cadence established. Continuous tuning based on outcomes, coverage gaps, and emerging requirements.

Outputs: Weekly governance, escalation rules, operational updates
Phase 4

Scale Coverage

Expand signal engines, add domains, integrate with existing workflows. Automation with appropriate guardrails.

Outputs: Expanded domains, improved precision, deeper integrations

About

i2ntelligence is led by Amir Sani—designing and operating intelligence systems for institutional decision-makers who require continuous signal coverage, governed action, and auditability.

  • PhD in Machine Learning and Decision-Making Under Uncertainty
  • Built and led private capital intelligence platforms
  • Bespoke data acquisition and alternative data generation
  • Enterprise-grade security architecture and implementation
LinkedIn Google Scholar Personal Site

Client work is confidential by default.

Request a private briefing

Engagements begin with a confidential conversation to understand your decision environment, signal requirements, and operational constraints.

amir@i2ntelligence.com

We respond selectively.

If you need a low-cost monitoring tool, we are not the right fit.