AI ADVISORY · BUILT BY OPERATORS
We help growing companies in the 500-5,000 employee range get the capacity of 10-30 hires from the team they already have — paid back in year one.
THE STATUS QUO
You bought ChatGPT Enterprise or Copilot for the whole company. Adoption is below 30%. The board is still asking what the ROI is. IT is fielding tickets about why employees can't paste customer data into a chat window.
Every quarter, hiring requests pile up. Every quarter, you approve most of them because the work needs to get done. The revenue-per-employee ratio has been moving the wrong direction for three quarters running.
You took the meeting. The pitch was generic. The proposal landed at $1.5M for "AI strategy and roadmap" — work that will be delivered by people two years out of business school. The work will be solid PowerPoint. It will not run.
There's a third path: AI enablement that pays for itself in the capacity it adds, delivered by the partners whose names are on the contract.
THE ENGAGEMENT LADDER
4-6 weeks · $50-100K fixed fee
Model selection, license setup, policy stack, baseline tooling, executive readout. Includes the operating-leverage projection that makes the next engagement self-justifying.
2-4 months · $125-350K
Role-specific curricula, champions program, prompt library, usage tracking, ROI reporting. Delivered before — one partner stood up and ran this exact function at a mid-size scaling fintech.
3-9 months · $200-700K fixed fee, milestone-based
The technical tier where the ROI actually lands. MCP servers for core systems (CRM, HRIS, ticketing, data warehouse), agent workflows, auth/governance/observability layer. Almost no one else can credibly deliver this today.
12-month minimum · $10-25K/month
Ongoing governance, model evaluation, expansion to new departments, quarterly board readouts. The annuity layer that keeps the leverage compounding.
THE MATH
typical, Tiers 1-3
at $150-200K fully loaded
We do not sell mandate compliance. We sell ROI on a timeline a CFO can put in a board memo.
METHODS & EVIDENCE
We publish what we build. Our open-source projects cover agent infrastructure, evaluation frameworks, and the patterns we use inside client engagements. Clients who hire us for Tier 3 work often standardize on patterns we've already published.
Explore at nsquaredlabs.com →One partner stood up and ran the AI workforce enablement function at a mid-size scaling fintech. Role-specific curricula, champions program, governance, ROI reporting — all delivered at enterprise scale before launching the practice. The Tier 2 playbook is not theoretical.
(Specifics shared under NDA on discovery calls.)
Combined partner background includes a $15M+ founder exit, multi-million-dollar enterprise deal closes, a decade-plus operating in fintech and healthcare, and direct experience standing up AI inside an enterprise. We have run the businesses we now help others run.
THE ARC
Weeks 1-6
The CFO has the operating-leverage math in hand. Foundation is set. Policy stack is signed. The board memo for the next engagement writes itself.
Months 2-5
Adoption climbs across roles. Champions emerge inside the company. Usage tracking shows the leverage starting to land in actual hours saved per week per employee.
Months 4-12
Core systems are AI-enabled. Workflows that took three people now take one. Revenue per employee climbs. Growth outpaces cost growth. The leverage shows up in the P&L.
Ongoing
New use cases unlock. New departments adopt the playbook. Each new model release expands what's possible. The leverage compounds quarter over quarter.
NSQUARED · ADVISORY
Two partners. Senior operators. Built credibility through public technical work.
Bring your headcount plan and revenue trajectory. We'll model the leverage live on the call. If it doesn't pencil, we'll tell you — and refer you to someone who's a better fit.