7N
7N is a Nordic IT consulting firm we work with when an enterprise engagement needs more senior consultants than Lucentive fields directly.
About
Lucentive designs the operating model around Enterprise AI.
AI capability is reaching production faster than enterprise delivery systems can absorb it. Lucentive works on the chain around that capability: intent, context, review, approval, lifecycle, and evidence. The patterns were earned in regulated production and shaped for large organizations that need the work to hold under scrutiny.
Built for
- Enterprise AI programs under review and audit pressure
- Partners evaluating serious transformation capacity
- Senior teams moving from pilots to governed production
Firm shape
Founder-led architecture, partner-ready delivery.
Lucentive stays close to the architecture of the work. The first conversations name the operating-model gap, the controls that cannot be skipped, and the context the system must carry. On selected enterprise engagements, partners join where the work needs more senior capacity, market access, or delivery depth. Lucentive stays accountable for the method and the shape of the outcome.
- Enterprise first
- The work starts from the decision, control, and delivery constraints inside large organizations.
- Founder-led
- Niklas Mencke stays close to diagnosis, architecture, and the senior conversations that decide whether the work should proceed.
- Partner-capable
- Selected partners extend capacity where the engagement needs depth beyond Lucentive's core team.
Partner motion
Two partner relationships support selected enterprise opportunities. Publicly, that means trust signal and fit. Commercial mechanics stay in the room where the work is being shaped.
Globeteam
Globeteam is a strategic partner for selected enterprise opportunities where pursuit and delivery benefit from both firms.
Founder
Niklas Mencke
Niklas Mencke founded Lucentive. Separately, he leads an AI-transformation program at a major US regulated bank, where AI-assisted engineering ships through review, audit, and approval boundaries in production. The patterns Lucentive teaches were earned in that engagement.
Before Lucentive, he spent more than a decade as a senior engineering leader across regulated industries. The repeated lesson: the build is hard, and the system around the build is harder. Most of Lucentive's work sits in the second category.
He has briefed peer-CIO audiences on governed AI delivery, drawing directly from the program in production.
Careers
Lucentive keeps a high bar and opens roles deliberately. Current openings are on the careers page. If the work fits but no role is posted, write directly: niklas@lucentivelabs.com.
See open rolesStart the conversation
Bring the enterprise AI problem that is stuck between strategy and production.
A useful first conversation names the constraint: where intent is unclear, where review slows down, where context does not travel, or where the evidence cannot support the decision. From there, we decide whether the right next step is a diagnostic, an architecture engagement, a partner-shaped opportunity, or no engagement at all.