Outcome cluster, increase revenue
AI agents that drive Increase Revenue.
Increase-revenue deployments are measured on the revenue lines your CRO already reports: net revenue retention, pipeline coverage, meeting-to-opportunity conversion, revenue recovery, dunning effectiveness, upsell attach rate. These are the lines that move the business. They're also the lines where most AI deployments fail, because they're governed by relationships, not just rules.
The pattern that works: deploy AI roles on the high-volume, well-documented work that drives these metrics (outbound prospecting, CRM hygiene, account-health monitoring, dunning cycles, renewal forecasting), while keeping the relationship work with the humans whose names are on the account. The role expands coverage; the human closes the deal.
The operating model in Increase Revenue.
Coverage expansion, not conversion replacement
AI roles let you cover more of your TAM, more of your account base, more of your renewal book, without adding a second bench of SDRs / CSMs / AR specialists. The human team focuses on the accounts and moments that require their judgement. The role handles the long tail.
Leading indicators, not lagging
Revenue is a lagging metric. The role is evaluated on the leading indicator that predicts it: meeting-qualified rate (pipeline), account-health score (retention), invoice-cycle time (collections). The leading indicator moves in weeks; revenue moves in quarters.
Revenue teams stay the point of contact
When a conversation needs to happen between a human at your company and a human at the customer, it happens. The role drafts, qualifies, and routes, the human holds the relationship. This is non-negotiable for named-account motions.
Measured on your existing revenue dashboard
The contracted KPI is read from your existing dashboard: NRR in your CS platform, pipeline coverage in your CRM, DSO in your ERP. No parallel reporting system, no 'their numbers vs ours' reconciliation.
How it rolls out
The playbook a real Operating Partner runs.
Phase 1
Pick the revenue line with the biggest leading-indicator gap
Pipeline coverage below 3x, NRR below 110%, DSO above 45 days, meeting-to-opportunity conversion below 25%. The line you pick determines the role: SDR, CSM, AR Specialist, Sales Support Specialist.
Phase 2
Baseline the leading indicator, sign the target
Set a 90-day target on the leading indicator (not the revenue line itself, that moves too slowly). The contracted KPI is the leading indicator. The revenue line is the 12-month read.
Phase 3
Wire into CRM + revenue tools without replatforming
Role reads and writes to your existing CRM (Salesforce, HubSpot), CS platform (Gainsight, Catalyst, ChurnZero), sequencer (Outreach, Salesloft). Named accounts flagged; role defers to the human owner on those.
Phase 4
Launch with weekly revenue-team review
Your CRO or VP Revenue owns the weekly review. Leading indicator tracked against the target. If drifting, the policy tightens in writing.
Phase 5
90-day review, expand the revenue surface
Leading indicator hit → scope the next role on the adjacent revenue surface (SDR → SDR + CSM for full funnel + retention; AR Specialist → AR + AP for full cash cycle).
Increase Revenue works when the role expands coverage without replacing the relationship. Every role below is structured that way: a clear leading indicator, a named human for the relationship work, a revenue-dashboard KPI that reads directly off your existing tools.
Every role scoped to this outcome
6 roles
- Ready
Content Marketing Specialist
Marketing · Increase Revenue
Run the content engine end-to-end, editorial-calendar discipline, topic research, brief generation, draft assembly, repurposing, and SEO-signal monitoring, with editor review on every asset.
- Deploy
- 21-35 days
- Impact
- 2-3x publishing cadence at equal or better quality
€1.00 – €6.00 per content asset actioned
- Ready
Lifecycle Marketing Specialist
Marketing · Increase Revenue
Run the lifecycle motion end-to-end, email campaign drafts, social scheduling, event-to-pipeline tracking, competitive-intel surfacing, with marketer review on the edge.
- Deploy
- 21-35 days
- Impact
- 2-3x lifecycle cadence at equal or better conversion
€0.80 – €3.00 per campaign or signal actioned
- Ready
Merchandising Specialist
Merchandising · Increase Revenue
Run merchandising operations end-to-end, catalog listing management, rule-based pricing updates, customer-review moderation, and category-page curation, with merchandiser review on pricing changes and brand-sensitive review decisions.
- Deploy
- 28-42 days
- Impact
- 55-70 percent cycle-time reduction on routine merchandising events
€0.20 – €0.90 per SKU or category event
- Ready
Revenue Operations Analyst
RevOps · Increase Revenue
Run CRM hygiene, forecast confidence scoring, commission reconciliation, and pipeline reporting on a continuous basis.
- Deploy
- 14-21 days
- Impact
- 5-15 percent improvement over pre-deployment baseline
€0.60 – €1.80 per opportunity reviewed
- Ready
Sales Development Representative
Sales · Increase Revenue
Qualify inbound leads and demo requests against ICP rules, route them with context, and protect the best opportunities.
- Deploy
- 14 days
- Impact
- 15-30 percent better sales time allocation
€0.40 – €1.20 per lead processed
- Ready
Sales Support Specialist
Sales · Increase Revenue
Handle deal-support work end-to-end, first-pass proposals, call summaries, pre-meeting briefs, deal-desk intake, with CRM-grade logs and AE review.
- Deploy
- 21-35 days
- Impact
- 25-45 percent more AE selling time recovered
€1.00 – €3.00 per deal touchpoint processed
90-day operational guarantee. We agree on the outcome KPI before launch. If we haven't hit it by day 90, we keep working free until we do.
Pick a role. Start deployment.
Every role in this view is hireable, governed, and anchored to the fully-loaded cost of the equivalent hire.