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Intelligence Ops

The Bottleneck

Measurement tools disagree. Teams force a compromise among attribution, econometric modeling, and incrementality tests, adopting a single metric and discarding the highest-value signal: the variance itself.

Agentic Solution

Deploy an eleven-agent, three-layer architecture that executes competing measurement methods simultaneously. When methods disagree, the system calculates the Value of Information and designs an experiment to resolve the conflict mathematically.

AMO · FLAGSHIP BUILD SPEC
This is what we build and run. An AMO engagement designs these eleven agents to your operational bottleneck — and our team runs them against your spend.
TIER 1 · AUTONOMOUS
Agents act without approval — anomaly detection, signal publication, test design.
TIER 2 · HUMAN APPROVED
Agent recommends, human decides — allocation changes, test launches.
TIER 3 · HUMAN ONLY
Agents inform only — annual budget, channel entry/exit, positioning, org changes.

Four people govern eleven agents.

A Signal Rift AMO is run by a four-person team: one Measurement Lead, two Analysts, one AI Operations Manager. Traditional setups doing the same work need 15–25 people at $2.5–5M. Headcount falls 73–80%. Total cost falls 65–80%. In current engagements, this team sits on the Signal Rift side and runs the system against the client's data.

MEASUREMENT LAYER

Measurement Lead

Owns triangulation governance, the test calendar, model methodology, and measurement oversight. Interfaces with the client CMO or COO.

CROSS-LAYER + DECISION

AI Operations Manager

Owns agent health, tuning, feedback loops, pipelines, signal bus, model retraining. Also owns unit economics, LTV, and executive reporting. Absorbs the Analytics Engineer and Strategy/Ops Analyst scopes that a 6-person structure kept separate.

EXECUTION LAYER

Analyst · Acquisition

Owns paid search, paid social, creative strategy, channel operations, and signal interpretation on the acquisition side.

EXECUTION LAYER

Analyst · Partnerships

Owns affiliate, programmatic, vendor management, channel operations, and signal interpretation on the partnerships side.

Role labels harmonized 2026-04-17. The prior 6-person structure included a VP Marketing (absorbed into client-side leadership) and a dedicated Analytics Engineer (absorbed into the AI Operations Manager). See the Decision Log for the change rationale.

What Leads Here

Intelligence Ops functions as the strategic apex. It operates downstream of latency-compression wedges. Every wedge surfaces a causal anomaly the wedge alone cannot answer.

Media Triage

Once platform ROAS is line-itemized, the CFO asks whether it is incremental, opening the on-ramp to full Incrementality-as-a-Service.

Pacing Intelligence

Variance decomposition exposes what portion of a gap is causal versus cannibalistic, necessitating Bayesian MMM.

Reporting Automation

Automated narratives expose correlation. The CMO eventually requires causation, triggering the Arbiter deployment.

Lead Response

Clean lead-source data trains Predictive CLV. Predictive CLV feeds Value-Based Bidding. VBB requires Incrementality validation.

CRM Sanitization

Clean purchase histories train Predictive CLV. Every Intelligence Ops deployment compounds on the data this wedge produces.

Ready to deploy?

Start with a 30-minute call. We will tell you if we can help.

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