RED HIBBERT
The enterprise customer systems Cell.
AI-enabled customer operations for complex institutions. Owned operating layer for data, workflow AI, messaging, and systems of record. Not a generic digital consultancy.
Trusted on hard stacks
Enterprise customer systems, AI enablement, and Marketing Cloud where failure is not an option.
13 enterprises
The pyramid
Outcomes first. Then the Cell. Then the systems.
Buyers who start at the tool catalog get shelfware. We start at funnel, lifecycle, and trust, then staff the operating Cell that makes messaging, data/AI, and systems of record produce.
01
Outcomes
Funnel, lifecycle, and trust that compound when customer systems actually run.
02
Cell operating model
One accountable bench that stays after the pilot, not a rotating cast of résumés.
03
Systems
Messaging (SFMC), data and AI enablement, and systems of record (SAP, CRM, adjacent).
AI enablement
The AI pain points complex institutions actually have.
Built for environments like health systems, universities, and research enterprises: trust, privacy, and governance are table stakes. Science-fair demos are not the product.
Ops copilots that live in the work
Summaries, triage, and draft actions inside the queues people already use. Not another chat demo that dies after the lunch-and-learn.
Knowledge and workflow AI with owners
Search, routing, and procedure assist with human review for sensitive steps. Built for institutions where a wrong answer is not a cute failure.
Data readiness before models
Identity, permissions, and activation paths that make AI useful. If the data layer is fiction, the model just invents faster.
Safe enablement with governance
Privacy, access, auditability, and change control that fit health systems, universities, and research-heavy enterprises. Trust first, theater never.
Systems layer
Three systems. One Cell. SFMC is one solution, not the whole identity.
Messaging · Salesforce Marketing Cloud
Journeys, email, automation, and queue ownership when lifecycle messaging is ready to run at scale.
See Cell Ops →Data + AI enablement
Workflow AI, knowledge assist, data activation, and human-in-the-loop patterns that ship inside real operations.
See Cell AI →Systems of record
Integrations and SAP-adjacent / CRM bridges so customer systems talk to what already runs the institution.
See Cell Build →
Proof
Twelve years of owned customer systems work.
12 years
Operator firm, not a slideware consultancy that arrived yesterday.
Uber / Experian-class
Continuous Marketing Cloud and customer systems work at that intensity of scale.
Cell larger than nine
Thirty-seven specialists as one operating unit, not a two-person agency with a logo wall.
Continuous ops
The Cell stays after go-live. Pilots without an operating home are how programs die.
Offers
Four ways to engage the Cell
01
Cell Ops
SFMC depth and continuous customer messaging ops from a permanent specialist bench.
See Cell Ops →02
Cell Data + AI
Flagship for AI enablement: data readiness, workflow copilots, governance, and activation into customer systems.
See Cell AI →03
Cell Build
Integrations, Data Cloud recovery, and SAP-adjacent / systems-of-record work that hands into Ops.
See Cell Build →04
Cell Next
Roadmap modernization when the stack is ready: Next, activation spine, AI where it compounds.
See Cell Next →
Land and expand
AI enablement first. Data and journeys next. SFMC when lifecycle messaging is ready.
Soft path for institutions that are not buying a Marketing Cloud rewrite on day one: ship useful AI inside real workflows, harden data readiness, then expand into customer messaging and Ops when the operating Cell has earned the lane.
Ready for an owned operating layer, not another pilot graveyard?
Start with Cell Data + AI, or go straight to Ops / Build / Next.