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.
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 weeksAdvise
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 reportImplement
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 teamHave 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.
Someday, Captured
↗An executive wanted to preserve memories for a future memoir before they were lost. We built a tool that captures them in seconds — stored entirely in the executive's own storage.
Memoir AssistAI Adoption Coaching
↗AI adoption without shared standards meant real waste — the wrong tool, the wrong approach, or no AI at all. We built the coaching and shared library that fixes that.
Prompt MavenMorning Deal Report
↗Manual courthouse searches, done by hand every business day, meant missed deals when things got busy. We built the automated monitor that delivers a report before the workday begins.
Commercial Real Estate DebtThe Case Study That Wrote Itself
↗Turning a finished project into case study content took a writer's full day — three formats, manually tracked approvals. We built the intake-to-draft workflow that produced this very section, with a human approval gate before anything publishes.
Internal ToolingMordy Hackel
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
Bio coming soon.
Jon
Bio coming soon.
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