Road Scholar reduced a critical review workflow by 98.5% and now operates approximately ten Opal agents in production. We built the operating model behind that success.
Optimizely calls this the Agentic CMS: a platform where AI agents generate, optimize, govern, and operate digital experiences using structured enterprise knowledge. As organizations move beyond pilots, attention shifts to identifying the workflows agents should own and establishing the governance, measurement, and operating models required to scale them effectively.
We built our Opal practice around a simple belief: AI creates value when it becomes part of the operating model.
Before it was digital transformation. Now it's agentic transformation.
Road Scholar treated AI as an operational capability, not a technology experiment. One of the clearest examples: a sustainability itinerary review that once consumed more than 80 hours of senior review time now takes just 5-7 minutes through an Opal-powered agent, while reviews retail full decision-making authority.
The time we're saving on repeatable content tasks has fundamentally changed how our team works. We're now focused on strategy and richer experiences for our travelers.
Polaris is Nansen's framework for agentic transformation, guiding organizations from their first proven use case to operating agents at scale with the governance, structure, and momentum to sustain adoption.
Chart your routeDiscovery, AI strategy, governance, taxonomy and prompt library. We prove your first use case.
First production agents go live. Teams are onboarded and templates are running in real workflows.
Multiple workstreams in parallel. New agents every quarter. Multi-team adoption.
Client-owned agentic operations. Nansen shifts to strategic advisory. The organization has its own crew now.
A one-week, fixed-price engagement. You leave with two agent candidates identified, ROI quantified, a governance baseline, and your first agent scoped.
A fixed-price proof sprint. We take one workflow and one KPI and put a bespoke agent into production by day 90.
A monthly engagement structured around named agent outputs. We expand adoption across functions and continuously optimize performance.
Nansen is Optimizely's North American Opal partner, recognized for moving agentic workflows from concept to production.
Road Scholar runs around ten agents in production today. The lessons there inform every Opal engagement we deliver.
We bridge high-level C-suite strategy and hands-on agent building. One team, one outcome.
The organizations creating durable advantage with AI are not deploying more tools. They are redesigning workflows and operating models around agents.
Start with one workflow. Prove the outcome. Build the capability to scale.