Varden puts forward-deployed teams inside your organisation to get AI into production, deliver impact fast, and hand you the keys.
Not a remote vendor. A dedicated pod of engineers and deployment strategists that sits with your team, builds inside your environment, and leaves lasting capability behind.
Not a product company
01
Engineers embedded with your team, sitting in the workflow, building the system beside the people who will use it. Weekly releases from the first week.
02
The unified operating layer they bring with them: governed data, permissions, audit and integrations set up once, so the work starts at your workflow, not at the plumbing.
03
Founder-led scoping, governance agreed with your leadership and your data protection officer, and a costed plan you can say no to.
Three stages
A structured audit of how work moves through your organisation: teams, systems and decision points. Fixed price, typically two weeks on site.
The output is a route: which workflows to change first, what they need from data and systems, and a costed plan you can say no to.
How discovery runsWe redesign the chosen workflow around AI and build the system that runs it: the governed data layer first, then the agents and interfaces on top, with your teams in the loop from week one.
Stage 03Into live operation, on your infrastructure or an environment we operate for you, integrated with the systems your teams already use. No migration, no new platform.
Ownership moves in-house: training, playbooks and internal champions. The system keeps improving in daily use, and each new use case costs less than the last.
Share of the work run by your team
Example outcomes
Manual coordination, approvals and repetitive admin work taken out of the day.
Work that waited on hand-offs between teams now moves continuously.
More people served per administrator, with no new coordination layers.
Where to begin
Engineers and your staff work together.
Shadow daily work across teams and sites.
Map systems, ownership, and what AI may see.
Prioritise use cases by impact and feasibility.
Agree data access and authorisation rules with you.
A costed plan: foundation first, use cases on top.
What you hold after
Every system, who owns it, how clean it is, and what AI may see.
Access and authorisation rules agreed with your leadership.
Ranked by impact and feasibility. The first build chosen together.
Scope, outcomes and price. No obligation to continue.
We are taking on projects globally. Oslo and London.
Applied AI for institutions in highly regulated environments. Oslo and London.
© 2026 Varden
