AI Workflow Automation
Automate intake, triage, follow-ups, task routing, document prep, reporting, and handoffs across the tools your team already uses.
AI operations for real-world teams
Ops Garage AI designs and deploys secure automations, AI assistants, workflow orchestration, and compliance-ready operating systems for small businesses, law firms, and lean technical teams.
What makes this different
We find the repeatable work, map the workflow, build the automation, secure it, document it, and hand you something your team can actually use. The goal is simple: fewer dropped balls, faster execution, and better visibility.
Services
Automate intake, triage, follow-ups, task routing, document prep, reporting, and handoffs across the tools your team already uses.
Private assistant workspaces for drafting, summarizing, calendar/email support, research, SOP execution, and human-approved actions.
Orchestration across intake, call review, meeting summaries, medical chronology, demand-package prep, and case-management workflows.
NIST/SOC 2 aligned evidence tracking, policy workflows, control mapping, audit prep, POA&M tracking, and compliance dashboards.
Lightweight incident tracking, alert triage, exposure monitoring, asset visibility, documentation, and repeatable response workflows.
Docker, Unraid, VPS, private networking, reverse proxies, backups, logging, and hardening for tools that need to stay under control.
Process
Map the tools, handoffs, failure points, data types, access needs, and measurable business outcome.
Define the automation architecture, approvals, security model, logs, fallback paths, and success metrics.
Deploy the workflows, connect systems, add guardrails, test real scenarios, and document the runbook.
Monitor results, tune prompts and workflows, reduce manual exceptions, and expand only after the first system works.
Use cases
Pull call notes, meeting summaries, case data, medical chronology, and draft inputs into a controlled review queue.
Turn policy requirements, audit evidence, system screenshots, and POA&M items into a repeatable control-review workflow.
Use AI to draft follow-ups, summarize inboxes, create tasks, update CRM notes, and surface work that needs attention.
Automate incident intake, enrichment, status updates, report drafting, and after-action documentation.
Engagement model
The first engagement should identify the highest-value workflow, prove the business case, and define the implementation path before anyone pays for a bloated build.
From $5,000
Contact
Tell us what your team is doing manually, what tools are involved, and what happens when the process fails.