Case Studies

AI leverage without chaos

Client names withheld by NDA. These are anonymized engagements that show what “AI inside revenue systems” looks like—complete with governance, telemetry, and real operational constraints.

B2B SaaS (PLG + sales-led)

Lead intelligence + routing that Sales trusts

Fit + intent scoring, capacity-aware routing, and decision logs that reduce disputes and speed follow-up.

HubSpot/SFDCPostgres/SQLOpenAI toolsSlack
Enterprise services (multi-region)

Attribution Finance can reconcile (spend → pipeline → revenue)

A canonical data model + validated pipelines so leadership stops arguing about numbers and starts acting.

HubSpot/SFDCShopifyStripe/ChargebeeWarehouse/SQL
Regulated GTM (privacy/compliance constraints)

Compliance-aware routing + safe AI summaries

Automation that respects region/consent rules and adds AI leverage without polluting the CRM.

CRM workflowsRole-based accessLogging/telemetryLLM guardrails
High-volume inbound (messy CRM data)

CRM enrichment that improves data (without making it messy)

Normalization + validation gates so enrichment makes routing/segmentation better—not worse.

HubSpot/SFDCEnrichment APIsRules + agentsMonitoring
PLG motion with expansion

Lifecycle orchestration from product signals (nurture + sales-assist)

Adaptive journeys triggered by milestones and intent spikes—measured with clear telemetry.

Product eventsHubSpot/SFDCEmail + in-appSQL/warehouse
Revenue team (Slack + CRM)

AI sales-assist inside existing tools (no new app)

Permission-aware summaries and next steps delivered where reps already work: Slack + CRM.

SlackHubSpot/SFDCOpenAI toolsLogging/telemetry
Growth team (high campaign velocity)

AI campaign workflows with approvals and compliance checks

LLM drafting + QA gates so launches speed up without increasing risk or rework.

Ads platformsEmailLanding pagesLLM workflows
Performance org (high daily spend)

Agent-driven anomaly detection for spend + pipeline

Automated monitoring that flags what changed, why it likely changed, and what to do next.

DashboardsWarehouse/SQLSlackTicketing/ops
B2B SaaS (support + CS org)

Support triage agent with human-in-the-loop guardrails

Ticket classification, safe summaries, and routing inside existing tools—without creating CRM noise or compliance risk.

HubSpot Service HubSlackOpenAI toolsPostgres/SQL
Subscription SaaS (billing + RevOps)

Billing → CRM workflows that drive lifecycle and renewal plays

Stripe/Chargebee signals mapped into CRM objects and automated workflows so lifecycle stages match reality and renewals stop being reactive.

Stripe/ChargebeeHubSpot/SFDCPostgres/SQLSchedulers
Enterprise outbound (ABM + SDR team)

Account research agent that drafts outbound plays with approvals

Research packets, personalization angles, and sequence drafts—generated from approved sources with citations and human approval.

HubSpot/SFDCSlackOpenAI toolsEnrichment APIs
RevOps (multi-team handoffs)

SLA workflows for leads, deals, and tickets (no spreadsheet ops)

Timers, ownership rules, escalation paths, and dashboards built directly into CRM workflows so nothing falls through the cracks.

HubSpot WorkflowsSlackPostgres/SQLDashboards