Adoption And Oversight, In The Same Motion

Move fast on AI. Never move faster than your oversight.

Most firms treat AI governance as a phase-two problem. We build the review gates, security checks, and audit trail into the adoption itself, so speed and control aren't a trade-off.

Where we lead
AI advisory and adoption come first. The oversight and security that protect the business are part of that from day one, not added after.

We start by identifying where AI can actually move the needle for your business — client service, operations, decision support — then build the plan to get there deliberately, so the work compounds instead of stalling out as a one-off pilot.

Every AI-assisted change goes through the same discipline a senior engineer would apply by hand — security checks, test coverage, and a clear owner — before it reaches production. Your team keeps moving fast without losing the paper trail.

As AI tools touch more of your codebase, data, and infrastructure, we make sure access controls, data handling, and deployment paths hold up to scrutiny — without adding friction the team has to work around. That includes API keys and secrets, which get embedded in code, shared over chat, and left valid long after the person who created them is gone — a far more common breach vector than anything AI-specific. We bring them into the same disciplined vault as your passwords, with a rotation schedule we actually own, not a policy that says rotation should happen but rarely does. That's the differentiator: a vault that stores secrets without proactively rotating them is passive protection. We treat key rotation the same way we treat patching — a standing responsibility, not a one-time setup.

Your team keeps ownership of the day-to-day. We add senior judgment on the calls that matter — architecture decisions, vendor evaluations, escalations — so nothing critical rests on one person alone.

How An Engagement Works
Three phases — and we stay through the third one, not just the first two.
01

Assess

We map how AI is already being used — or wanted — across the business, and where the actual risk sits: code, data, infrastructure, or process.

1–2 weeks
02

Advise

A concrete plan: what to adopt, what to hold off on, and the specific oversight — review gates, security checks, audit trail — that needs to exist before anything ships.

Ongoing advisory, not a one-time report
03

Implement

We help stand up the actual working system, not just a plan: the MVP built and iterated on real use, a security framework from identity management through patching, and data management — including backups — in place from the start.

Ongoing, alongside your team
Start The Assess Phase

Have a business problem AI might solve? Tell us about it.

No pitch deck required. Describe the actual problem — the one costing you time, money, or attention right now — and we'll tell you honestly whether an MVP makes sense.

We Build What We Advise
Memoir Assist, Prompt Maven, and Time Minder — products we're building and operating ourselves, at different stages of maturity.
See the Labs page →
Who You're Working With
The same principals behind KJ Technology, focused on AI advisory.

Mordy Hackel

Co-Founder & Principal

Founded KJ Technology in 1998, bringing a Wall Street-trained eye for governance and risk to technology leadership ever since. Today he builds AI-powered solutions and their underlying infrastructure hands-on — advising on AI adoption by actually shipping it, the way he's built Memoir Assist, Prompt Maven, and the rest of KJ's own AI practice.

Adam

Principal

Bio coming soon.

Jon

Principal

Bio coming soon.

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The AI Adoption Oversight Checklist

Not ready for a full conversation? Start with the same checklist we use internally — what to have in place before you ship AI-assisted changes to production.

Talk through where AI fits in your business.

A strategic discussion, not a sales pitch — we'll map the opportunity and the guardrails together.

Schedule a Strategic Discussion
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