Secure AI Engineering & Automation

Secure AI systems for teams that need more than a demo.

We find the high-value AI work in your operation, build production-grade agents and software around it, protect your data, and keep it running.

Book an AI Systems Readiness CallSee how we secure AI builds

30 min · with the engineer who builds it · no slide deck

secure-ops-copilot / run 4812governed
  1. 01
    Triggerzendesk

    Ticket #2291 — shipment delayed at Joliet hub

  2. 02
    Retrieve3 sources · scoped to user

    SOP-14 Delay handling, KB-221, carrier status sheet

  3. 03
    Draftcited

    Customer reply + internal status summary

  4. 04
    Approve09:42 · J. Rivera, Ops

    Approved by a person before anything is sent

  5. 05
    Actleast-privilege

    Reply sent via Zendesk · CRM case updated

  6. 06
    Logaudit

    Sources, identity, action, and outcome recorded

  • least-privilege tools
  • secrets in vault
  • eval suite passing
  • rate-limited

  • Shipped

    FitSprint AI on the App Store — AI workouts, HealthKit, watchOS

  • Method

    Structured on NIST AI RMF and CISA Secure by Design

  • Team

    Illinois, US. The person you talk to builds it.

How we work

Discover. Build. Secure. Operate.

Enter at any step. Each one has a fixed-scope package, clear acceptance criteria, and a next step you can see before you sign.

  1. 01

    Discover

    “Where would AI actually pay off for us?”

    Workflow mapping, use-case prioritization, data and security review, ROI model, sequenced roadmap.

    Entry package

    AI Readiness Sprint1–2 weeks
  2. 02

    Build

    “Can you make this real inside our tools?”

    Agents, automations, knowledge copilots, and AI product features wired into your real systems.

    Entry package

    Automation Proof of Value2–4 weeks
  3. 03

    Secure

    “How do we adopt this without losing control?”

    Threat model, identity and access design, data-flow review, guardrails, and evaluation.

    Entry package

    AI Security Review1–3 weeks
  4. 04

    Operate

    “Who keeps it working after launch?”

    Monitoring, cost control, quality regression tests, updates, and an owner on the roadmap.

    Entry package

    Managed AI OperationsMonthly

Security by default

Built into every AI engagement.

Twelve baseline controls ship with every build, whether or not they were in the brief. Agents draft. People approve. Everything is logged.

Read our security methodology →

We don't claim certifications we don't hold, sell compliance guarantees, or give legal advice. Where needed, we partner with specialist firms.

  1. 01Data classification and data-flow mapping first
  2. 02Model and vendor terms reviewed for retention
  3. 03Least-privilege access for tools and agents
  4. 04Identity-aware access for staff, customers, admins
  5. 05Secrets managed — never in code or prompts
  6. 06Separate dev, test, and production
  7. 07Human approval for consequential actions
  8. 08Prompt-injection and tool-misuse threat model
  9. 09Audit trails, monitoring, and rate limits
  10. 10Evaluation tests to prevent regressions
  11. 11Secure SDLC with scanning and code review
  12. 12A named owner after launch

Case study

Privacy-first by design, shipped to the App Store.

All case studies →
FitSprint AI app icon

FitSprint AI

AI-powered iOS + Apple Watch workout tracking

  • Swift / SwiftUI
  • SwiftData + CloudKit
  • HealthKit
  • WatchConnectivity
  • StoreKit 2
Baseline
Athletes wanted multi-sport tracking and AI coaching without handing their health data to a third party.
Build
Native iOS and standalone watchOS app: soccer, running, walking, and strength tracking with sprint detection, GPS routes, heart-rate zones, and AI-generated workouts.
Controls
Workout data stays in Apple HealthKit on the device. HealthKit permissions scoped per data type. No third-party trackers.
Result
Live on the App Store with AI insights and subscriptions through StoreKit 2.
Read the teardown →

Writing

Teardowns, guides, and tools.

All writing →

We don't sell an AI chatbot. We deliver a governed workflow that saves measurable time.

Book an AI Systems Readiness Call

What the 30 minutes covers

  1. 01The one or two workflows where AI would pay off first
  2. 02What data it touches and what would need to be secured
  3. 03A recommended first step, with scope and timeline