Agentic revenue operations

This is the commercial-operations work: Head of Sales Assist, the five pillars, and agents that own a discrete revenue step. Most of it happens inside an Interim / Fractional AI Officer engagement.

Head of Sales Assist is a quoted monthly retainer for a CRO or CEO who needs the sales team unified around a governed way of working. The Head of Sales page carries that offer. Winning by Design is the growth-architecture reference underneath it.

The Five Operational Pillars — AI-Augmented

Each pillar has a human layer and an emerging AI-agent layer. Knowing where to deploy which is the new operational discipline.

Interact
Enable teams to work better together across the revenue cycle
Agent Candidates
  • Meeting prep briefs auto-generated from CRM + product usage
  • Cross-functional Slack digests surfacing blockers
  • Automated deal room creation & stakeholder mapping
Interface
Strengthen connections across functions
Agent Candidates
  • Bi-directional CRM ↔ product analytics sync with enrichment
  • Handoff agents that write & route transition summaries
  • ICP scoring agents that continuously re-rank pipeline
Plan
Drive strategic planning with clarity
Agent Candidates
  • Territory & quota modeling agents with scenario analysis
  • QBR package generation with variance narratives
  • Capacity planning agents modeling hiring curves
Measure
Harmonize metrics through RevOps instrumentation
Agent Candidates
  • Anomaly detection agents monitoring velocity, win rates, NRR
  • Attribution agents reconciling multi-touch data
  • Consumption metric agents for usage-based models
Communicate
Align messaging internally and externally
Agent Candidates
  • Win/loss synthesis agents feeding playbooks automatically
  • Competitive intelligence agents updating battlecards
  • Personalized outreach agents within brand guardrails
Agentic Revenue Operations

The next frontier isn't AI-assisted workflows — it's AI agents that own discrete revenue processes end-to-end, escalating to humans only on exceptions. I help you identify, design, and deploy these within your existing stack — as part of a governed system, not ad-hoc experiments.

Ready Now

Pipeline Hygiene Agent

Monitors CRM for stale deals, missing fields, and stage progression anomalies. Flags reps on exceptions and updates forecast categories automatically. Eliminates the weekly RevOps data cleanup cycle.

HubSpot / Salesforce + n8n / Zapier
Ready Now

Onboarding Milestone Agent

Tracks new customer product adoption against defined milestones. Triggers CS plays when engagement drops below threshold — before the customer raises a risk flag.

Product analytics + CS platform
Ready Now

Revenue Reporting Agent

Compiles weekly and monthly revenue metrics from CRM, billing, and product data. Writes structured narrative summaries and distributes to stakeholders. Reclaims 4–8 hours/week of RevOps bandwidth.

Data warehouse + LLM + Slack/email
Emerging

Expansion Signal Agent

Continuously monitors usage patterns, support tickets, and engagement signals. Surfaces expansion-ready accounts to CS with context and suggested plays.

Multi-source enrichment + CRM write-back
Emerging

Forecast Reconciliation Agent

Runs scenario models against pipeline data, historical conversion rates, and rep-submitted forecasts. Surfaces discrepancies and generates confidence-adjusted projections.

CRM + forecasting tool + LLM reasoning
Emerging

Competitive Response Agent

Monitors public signals — competitor pricing pages, G2 reviews, job postings, press releases — and updates internal battlecards. Sales reps always have current intelligence.

Web monitoring + structured knowledge base

The right time to deploy agents is after the underlying process is well-defined and instrumented — not before. That's the work we do together first.

Organizations that operationalize AI across their revenue teams — with governed systems, clear measurement, and cross-functional alignment — consistently outperform those running fragmented experiments. That is the operational discipline I build with the revenue leader.