The Challenge
Penguin Consulting Services needed clean, reliable CRM data across three different go-to-market motions — direct outbound, a partner channel, and an outsourced SDR team — while also maintaining a consistent, branded LinkedIn presence without dedicating headcount to content production.
As a B2B consulting firm running multiple simultaneous go-to-market motions, Penguin's HubSpot instance was fed by direct sales reps, a partner channel, and an outsourced SDR team — each with different habits around data entry. At the same time, nobody on the team had the bandwidth to consistently research, write, design, and publish content that actually sounded like the brand.
CRM data decay across three motions
Contact and company records drifted out of sync as direct reps, partner-sourced leads, and an outsourced SDR team all touched the same CRM without a shared data standard.
No bandwidth for consistent content
Producing on-brand LinkedIn content — researched, written, designed, and published — took more time than anyone on the team could consistently give it.
CRM and content marketing operating in silos
Requests that touched both CRM operations and content marketing had to be manually relayed between people, with no direct handoff.
Our Solution
DoozerAI built two agents for Penguin Consulting Services: Mac keeps HubSpot data clean across every go-to-market motion, and Alex researches, drafts, and publishes Penguin's branded LinkedIn content on a fixed schedule — each running its own piece of the business day to day.
Rather than build one agent to do everything, DoozerAI built two narrowly scoped specialists — Mac for CRM data governance, Alex for the research-to-publish content loop — with a direct handoff between them for the occasional request that touches both, instead of routing it through a person.
Schema-enforced CRM hygiene
Mac enforces field-level validation — lifecycle stages, campaign codes, tiers — across all three go-to-market motions, preventing CRM decay as new records arrive from reps, partners, and the outsourced team.
Research-to-publish content loop
Alex researches Penguin's own site and recent post history, drafts a branded post and image plan, generates a logo-branded image, and routes it for human approval before anything publishes.
Learns from rejections
A rejection-learning memory means Alex avoids repeating content angles a human has already turned down, getting sharper over time instead of repeating mistakes.
Runs on a fixed schedule, not on memory
A weekday cadence and a separate weekend-themed cadence mean posting never depends on someone remembering to do it.
Connected, not siloed
Mac can hand LinkedIn post requests directly to Alex through a standing delegation workflow — connecting RevOps and content marketing without a person relaying the request.
Results & Impact
Alex now produces branded LinkedIn content five times a week without any manual drafting, eliminating an estimated 5–10 hours of content marketing work every week. Mac keeps HubSpot data clean across three go-to-market motions without a dedicated data-entry hire — and the two agents hand off to each other directly.