Three steps. Sequential, not optional.
Assessment tells us what to build. Deployment builds it. Operate runs it. You can’t skip steps because each one’s output is the next one’s input.
A 4-week diagnostic that identifies Decision Latency gaps in the current operation and scopes a deployment plan.
Access to platform data (GA4, Meta, Google, CRM). 30 minutes with each of: CMO, CFO, head of performance, head of creative.
At the end of Assessment, you either sign the Deployment SOW or you don't. No pressure, no retainer lock-in.
Fixed fee. Disclosed in the Diagnostic intake. Creditable against Deployment if you sign.
Four dimensions of decision latency.
Platform spend audit
We reconcile every dollar flowing through your ad platforms against your source-of-truth financial data. We surface the structural discrepancies.
Lead funnel analysis
We map the full lifecycle from impression to closed revenue. Every handoff, every CRM stage, every latency gap gets measured and timestamped.
Reporting cadence review
We audit when your team receives data versus when the event actually occurred. The delta between reality and visibility is your decision latency.
Waste pocket identification
We isolate spend categories where conversion probability has collapsed but budget continues to flow. These are the first frameworks we deploy against.
Four structured weeks.
Week 1
Data intake
We connect to your ad platforms, CRM, and analytics stack. We pull historical spend, lead, and revenue data.
Week 2
Latency mapping
We calculate the exact duration of your Decision Latency across every marketing function and channel.
Week 3
Waste analysis
We identify structural inefficiencies and map which specific Latency Compression frameworks will compress each gap.
Week 4
Deployment scope
We deliver a ranked list of latency gaps and the autonomous systems required to close them.
Four deliverables, shipped.
Written diagnostic
Ranked latency gaps. Every gap quantified by hours of latency and estimated revenue impact.
Proposed agent architecture
Specific Latency Compression frameworks mapped to specific gaps with integration requirements.
Projected compression outcomes
Modeled reductions in decision latency and projected efficiency gains.
Scoped deployment proposal
Fixed-price statement of work, ready for executive approval.
Proceed to Deployment, or don't. The Assessment report is yours either way.
Integration of autonomous agents into your data stack that compresses the latency gaps identified in the Assessment.
Weekly review. Staged rollout. No agent writes to a production ad platform without a human-approved first run.
Scoped against the Assessment recommendation. Fixed-price per phase. No time-and-materials.
Five-stage pipeline, in your environment.
Data connectors
Ad platforms, CRM, GA4, BI tools.
Signal Bus
Proprietary event normalization layer.
Agent fleet
Autonomous rule engines and analysis.
Governance layer
Human-in-the-loop approval protocols.
Output channels
Slack, email, BI tool, or custom.
Components, functions, and what they replace.
| Component | Function | Replaces |
|---|---|---|
| Signal Bus | Standardizes data flow from all source platforms into a unified event stream. | Manual ETL pipelines and CSV exports. |
| Media Triage Agent | Monitors creative fatigue and anomalous spend, auto-pauses underperformers. | Daily manual platform checks. |
| Pacing Agent | Projects month-end outcomes on day 10 using cohort maturity curves. | Week 3–4 manual reallocation meetings. |
| Reporting Agent | Generates executive briefs with explicit intervention flags. | Analyst-compiled weekly decks. |
| Governance Layer | Routes high-impact decisions for human approval before execution. | Undefined escalation chains. |
Cutover complete. Either you run it in-house with our docs, or we run it for you in Operate.
A fully managed service where our operations bench runs the deployed fleet and maintains precision over time.
24/7 monitoring. Human-in-the-loop on anything over a defined spend threshold.
No auto-renew. At month 12 we review and either renew or hand you the keys with documentation.
Three layers. Agents generate, humans govern, you receive.
Agent Layer
11 autonomous agents monitor your platforms continuously. They detect anomalies, project outcomes, and draft responses.
- Media Triage
- Pacing Intelligence
- Lead Response
- Reporting Automation
- CRM Sanitization
Governance Layer
4 human operators review escalated decisions, authorize budget shifts, and maintain model accuracy.
- Pre-execution approval gates
- Anomaly triage and resolution
- Model calibration cycles
- Incrementality test design
- Vendor reconciliation
Output Layer
You receive production-ready intelligence directly. No dashboards, no seats, no additional tooling required.
- Weekly executive briefs
- Latency compression metrics
- Variance decomposition reports
- Allocation recommendations
- Incrementality test results
Precision improves quarter by quarter.
| Quarter | Focus | Outcome | Precision |
|---|---|---|---|
| Q1 | Baseline establishment | Initial latency gaps measured and first interventions deployed. | Foundation |
| Q2 | Model calibration | First incrementality tests resolve measurement disagreements. | Improving |
| Q3 | Optimization compounding | Agent recommendations account for seasonal patterns and channel shifts. | High |
| Q4 | Autonomous precision | System maintains sub-24hr Decision Latency across all functions. | Compounding |
You make the final call. We run everything else.
When measurement methods disagree on how to reallocate spend, we design incrementality experiments to resolve the divergence. We calculate whether each test justifies its own cost. You authorize the execution.