Rapid growth had outpaced the operating model of a global B2B technology company: marketing scaled team by team and tool by tool across 40+ markets, with no shared workflow, inconsistent brand output and a stalled, ad-hoc approach to generative AI. Tools were piloted with no neutral way to judge them, so experiments multiplied but value did not.
VA installed one governed operating model and a structured GenAI content operating system — judged by a neutral evaluator with an explicit human-versus-AI line — turning scattered experiments into enterprise-scale value with the governance and measurement to prove it.
Chief Digital Officer, Head of Digital Transformation, Head of Marketing Operations
The strategic problem
Rapid growth had outpaced the operating model: marketing scaled team by team and tool by tool across over 40 markets, with no shared workflow, inconsistent brand output and a stalled, ad-hoc approach to GenAI. Tools were piloted with no neutral way to judge them, so experiments multiplied but value did not, and governance lagged behind ambition.
Diagnose & Design
VA opened with a marketing & production ecosystem audit and spend mapping & cost baseline analysis covering teams, tools, workflows and agency spend across all markets; acting as a neutral evaluator, a gap & maturity assessment mapped where GenAI was generating value versus theatre and drew an explicit line between what AI should do and what humans should own; market benchmarking compared the group’s capability and cost against B2B technology peers; scenario modelling & forecast simulation quantified three operating-model options; findings fed operating model design, governance design (RACI, KPI framework, scorecards) and a transformation roadmap & implementation plan sequencing the GenAI rollout from pilot to enterprise.
Ecosystem & Remuneration
Partner ecosystem design structured the GenAI vendor landscape — model aggregation platform, brand-control layer, specialist content partners — and roster rationalisation & consolidation removed agencies whose scope was now subsumed by the new model; remuneration model design introduced variable/bonus-malus components tied to time-saved metrics; vendor scouting & shortlisting from the 5,000+ database identified GenAI-native content specialists; pitch & tender management ran the competitive selection; scoping & SOW design (AURA/Strategic Mapping Expectation, AURA/FRC (Fulltime Ratecard Calculator)) produced the contractual framework.
Rollout & relationship management
Contracting & onboarding formalised the GenAI vendor and agency appointments; handover, rollout & commitment tracking — with AURA/Planner back-planning the staged enterprise rollout to two milestone dates — ensured the governance controls and brand-safety commitments made during selection were operative from day one; relationship management bridged the organisational change between marketing teams accustomed to traditional workflows and the new operating model.
Execution Oversight
Bid governance covered each technology and creative procurement decision; production cost validation & budget control (AURA/BMT (Budget Management Template)) tracked tool licensing and content production costs against the new model’s baseline; post-production monitoring ensured brand consistency across AI-generated and human-produced outputs, holding the human-vs-AI line agreed at diagnosis; wrap & final reconciliation confirmed cost reduction versus the legacy tool-by-tool approach at each rollout phase.
Performance Measurement
KPIs and scorecards from governance design tracked via partner performance evaluation on a 90/180/360 cadence — including time-saved metrics at each production stage; marketing and agency cost saving of 20% and cost avoidance of 14% versus the prior tool-by-tool approach reported separately; up to 50% time saved on key content steps [illustrative, to be confirmed]; today AURA delivers closure reports — full performance measurement as a continuous platform is on the roadmap.
Why VA
GenAI without an operating model is theatre that consumes budget without delivering scale; by judging tools neutrally and fixing the human-vs-AI line first, VA installs the governance, measurement and partner ecosystem that make AI value visible on the Board’s dashboard rather than buried in a pilot slide deck.
Common questions
What is a GenAI content operating system?
It is a governed structure for producing content with generative AI at enterprise scale — a model-aggregation platform, a brand-control layer and specialist partners — with an explicit line between what humans and AI each do, rather than scattered pilots in individual teams.
How do you judge GenAI tools objectively?
With a neutral evaluator and time-saved metrics measured at each production stage, so tools are selected on demonstrated value rather than the enthusiasm of the team that piloted them — and governance keeps pace with ambition.
Why does GenAI need an operating model to deliver value?
Without one, AI is theatre that consumes budget without scaling; fixing the human-versus-AI line, the governance, the measurement and the partner ecosystem first is what makes the value visible on the Board’s dashboard rather than buried in a pilot deck.