Tools and automation, built for the team you have.
Custom dashboards, integrations, AI agents, and workflow automation that bigger consultancies overlook and product vendors don’t ship. Apple-aware. Compliance-aware. Designed to be handed off, not held hostage.
Custom internal tools
The Challenge
Reporting lives in spreadsheets nobody trusts. Operations teams build half-broken dashboards in Notion. Engineers waste cycles answering “what’s our number right now?”
Our Approach
Custom dashboards and ops tools built with a modern stack (Python, TypeScript, deployed on Cloudflare or Vercel). Connected to your real data sources, hosted under your domain, with auth tied to your existing identity provider.
The Outcome
A reliable single source of truth for the metrics your team actually decides on. Documented, owned by your team after handoff, no vendor lock-in.
Workflow automation & integrations
The Challenge
Order intake, support routing, compliance evidence collection, inventory reconciliation — all done by humans copy-pasting between systems. Errors creep in, things fall through the cracks, the team burns out.
Our Approach
Connect your tools (Shopify, Klaviyo, QuickBooks, Slack, Jamf or Mosyle, M365, Google Workspace) so data flows automatically. Cron jobs, webhooks, and Zapier or Make where they fit; custom code where they don’t.
The Outcome
Manual work disappears. Your team focuses on the parts that need human judgment. Auditable logs of every automated action.
AI agents & assistants
The Challenge
Repetitive cognitive work — sales follow-up drafts, support ticket triage, content review, contract clause extraction — eats team capacity. Generic AI tools either over-promise or leak data.
Our Approach
Task-specific agents built on Claude or GPT with proper guardrails, evals, and human-in-loop checkpoints where they matter. MCP servers for company-specific data. Onboarding for engineering teams to use Claude Code, Cursor, and Copilot effectively.
The Outcome
Specific jobs get done by AI under your supervision. Your team leans on tools they trust instead of generic chat nobody verifies.
Compliance-aware AI deployment
The Challenge
Legal wants AI banned. Engineering wants it now. Auditors want a paper trail. Nobody has a defensible policy. Apple Intelligence is rolling out and nobody knows which features to allow on regulated devices.
Our Approach
AI tool acceptable-use policies with MDM-enforced DLP, approved-tool catalogs, audit logs of who used what, and NIST/HIPAA control mapping for AI usage. Apple Intelligence rollout playbook with Private Cloud Compute decision matrices for compliance-sensitive work.
The Outcome
Your team uses AI safely. Auditors get the evidence. Legal stops blocking. Apple Intelligence gets enabled where it’s safe and gated where it isn’t.
Built handed off, not held hostage.
Every build is shipped with documentation, deployment scripts, and runbooks. Your team can take it over the day we hand it off — or keep us on retainer for iteration.
Modern stack, no surprises
Python, TypeScript, Cloudflare Workers, Vercel, Postgres, SQLite. Boring tools that work, deployed where you can read the bill.
Apple-aware identity & security
SSO via Okta or Entra, signed binaries, MDM-deployable apps, fleet-aware access controls. AI work that respects the security posture we already built for you.
Same engineer, end to end
No offshoring, no junior swaps mid-project. The person scoping the build is the person writing the code.
Fixed-scope quote per build.
Most builds run as fixed-scope, fixed-timeline engagements. Recurring iteration billed monthly when it makes sense. Pricing is custom-quoted to scope, complexity, and timeline. The cheapest version of any of these is one quote and one conversation away.
Discuss a build arrow_forwardGot a tool that should exist?
Book a 15-minute discovery call. Tell us what your team is doing manually, what your dashboards don’t show, or what AI work you want to do safely. We’ll tell you, plainly, whether it’s a fit.