Agentic Workflow Catalog: Outreach, ABM, and Signal-Driven Plays
The Flywheel is the engine. These cataloged workflows are the gears. Each is a governed GTM motion where agents, data, and governance combine to create predictable pipeline — not random campaigns.
Why You Need a Governed Workflow Catalog
Consistency Instead of Chaos
Every GTM motion becomes a named, versioned workflow instead of an ad-hoc campaign stuck in someone's head.
Governance by Design
Tokenization, PoI, and GTM Math are baked directly into templates so compliance and safety are automatic, not optional.
Measurable, Comparable Performance
Standardized workflows make it possible to compare performance, measure impact, and benchmark every play against others.
The Core Agentic Workflow Set (Version 1)
These are Fairway’s foundational workflows for predictable, governed GTM motion. Each has a clear trigger, agents, and outcome.
Net-New Outbound Workflow
**Purpose:** Generate qualified first meetings with ICP Tier 1–2 accounts.
**Primary Agents:** Signal Correlation → Research & Enrichment → ABM Program → Outbound Execution
**Outcome:** Qualified meeting + PoI trail + token rewards.
ABM 1:Few Program Workflow
**Purpose:** Multi-touch, multi-persona programs for a named account cluster.
**Primary Agents:** Research, Enrichment, ABM Program, Outbound Execution, Forecasting.
**Outcome:** Engagement progression, multi-contact coverage, opp creation.
Signal-Triggered Follow-Up
**Purpose:** Turn buying signals (events, content, intent) into timely, relevant outreach.
**Primary Agents:** Signal Correlation, GTM Math, ABM Program, Outbound Execution.
**Outcome:** Only launches when GTM Math thresholds are met.
Pipeline Risk & Renewal Workflow
**Purpose:** Detect at-risk deals and trigger save/expansion plays.
**Primary Agents:** Forecasting & Health, Signal Correlation, ABM Program, Outbound Execution.
**Outcome:** Reduced churn, increased expansion, clear PoI logs.
Research & Enrichment Workflow
**Purpose:** Maintain data quality and “talking point” coverage on priority accounts.
**Primary Agents:** Research & Enrichment, Signal Correlation.
**Outcome:** Better personalization, better GTM Math accuracy.
Governance Built Into Every Workflow
Tokenization: Incentive Contracts Per Workflow
- Rewards accurate targeting + compliant messaging.
- Penalizes spammy volume + off-policy behavior.
- Drives predictable curves (e.g., renewal workflows, save-rate, etc.)
Proof of Intent (PoI): Explainers in Every Play
- Logs why a decision was taken.
- Human reviewers can inspect the PoI per workflow + per account.
- Makes every workflow board-ready from a governance perspective.
GTM Math: Workflow-Specific Logic
- Governs who qualifies, when plays activate, and what 'good' looks like.
- Ensures workflows rely on rules-based models, not generic LLM guesses.
- Example: Renewal workflows use product usage and contract dates.
Example Workflow: Net-New Outbound to ICP Tier 1
Trigger: Multiple high-intent signals from an ICP Tier 1 account.
- **Step 1 – Sense:** Research Agent validates personas + enriches data.
- **Step 2 – Decide:** GTM Math scores opportunity (high fit, high signal) → PoI created.
- **Step 3 – Act:** ABM Program designs a 3-touch play → Outbound Agent executes with PoI attached.
- **Step 4 – Learn:** Forecasting Agent measures meeting booked → Tokenization rewards accuracy.
**Result: Predictable, compliant outbound to Tier 1 accounts with full PoI trail.**
Example Workflow: Renewal Risk Detection & Save Motion
Trigger: Forecasting & Health Agent detects declining usage + negative signals.
- **Sense:** Signal Correlation aggregates product + sentiment data.
- **Decide:** GTM Math crosses “renewal risk” threshold → PoI explains why.
- **Act:** ABM Program launches exec-sequence + workshop invitation.
- **Learn:** Renewal saved/expanded → models updated → reward issued.
**Result: Earlier save motions, clearer risk narratives, and tokenized rewards tied to compliance.**
A Living Library That Gets Smarter Over Time
Underperforming workflows can be retired or refactored as new data emerges.
- Every workflow includes **Versioning** (v1, v2…)
- Every workflow includes **KPIs** (meetings, opps, save rate, expansion rate)
- Every workflow includes a **Governance Profile** (Tokenization, PoI, approvals)
*Governance Profiles ensure every workflow knows which agents can run it, under which rules, and with which approvals.*
From Workflows to Deployment
With the catalog defined, teams now have a concrete menu of governed GTM motions to execute. The next step: mapping workflows to teams, data, and readiness.
Back to The GTM Execution FlywheelProceed to Chapter 3: Readiness Assessment (Coming Soon)