We build AI systems that survive production. And compliance.
Built for regulated industries that are done with agent washing. We ship working systems with governance built in, not bolted on.
Our delivery workflow runs features through 17 phases and five approval gates, logs tool calls to a JSONL audit trail, and maps controls to the frameworks your auditors ask about.
- strait passage: Caribbean coordination engine shipped 41 days from build start to launch
- kü cacao: 7-language platform live 26 dev hrs of reported development time
- skycast tv: trial processing automated 13.7s/req: processing time per request
- opulent villas: concierge platform shipped 31 days of elapsed development time
- exquisite yachts: brokerage pipeline live 51 days from build start to launch
Most "AI agents" are a prompt and a cron job
The market is full of agent washing. A wrapper around someone else's model, rebranded as autonomous intelligence. You pay enterprise prices for a demo that breaks the first time it meets your real data.
We build the other thing. Systems that run in production, with the governance and the audit trail that let you defend them to a regulator or a board. If you can't tell where the AI actually is in a vendor's pitch, that's the tell.
What our engagements ship with
Four things in the box by default, whatever your industry. Scoping sets what each one covers for you.
Governance built in, not bolted on
Five approval gates sit between intent and production. Tool calls are written to a JSONL audit log with a trace ID. We map the controls to SOC2, NIST AI RMF, EU AI Act, HIPAA, and ISO 42001, so your reviewers get evidence instead of promises.
Honest about where the AI is
We label every part of a system: the AI, the plain automation, the deterministic code, and the human steps that stay human. No agent washing. Run our five-question diagnostic on any vendor pitch, including ours.
Engineering-led, not strategy-led
We don't sell 18-month roadmaps. We ship working systems in about 90 days, through a 17-phase workflow that produces verifiable artifacts along the way.
Cost discipline
Features get a pre-flight cost estimate and a configured spending cap. Token usage is attributed per agent and per phase, so the bill is something you can read, not a surprise at month end.
From audit to production in 90 days
The same workflow we use to ship customer systems, from the first audit to a production system you can defend.
Audit
We map your operations and find the highest-ROI automation.
Build
Construct and test pilot workflows using your actual production data.
Deploy
Launch to production and train your team to own it. We tune against real usage, not a demo script.
Scale
Expand what works across your organization. Document and measure the savings.
The numbers, with the context most sites leave off
Outcomes reported from named engagements. Development hours and elapsed time to launch are reported separately. The full breakdown is in the case studies.
These figures come from specific engagements. Yours will be different. We size the opportunity during scoping, not in marketing copy.
From the factory dashboard
Not a sales claim. These numbers are embedded from ops.nssg.consulting, the dashboard the agents built, not typed into this page.
Bring us a vendor pitch. We'll tell you what's real.
Or book a scoping call and we'll size the work against your actual systems.
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