Managed AI process automation, for SMBs
Most automation tools hand you software and walk away. We map your most repetitive processes, build custom AI agents to run them, and co-manage them in production — with monitoring, approval gates, and break/fix ownership.
Software you bought, work you still do
Small and mid-sized businesses run on repetitive process work — and the tools meant to fix it just add another dashboard. A generic AI agency hands you a chatbot and disappears. RPA breaks the first time a screen changes. Nobody actually owns the outcome.
- AI agencies sell you a demo, then leave you to operate it alone.
- RPA bots are brittle — one UI change and the script breaks.
- Per-seat SaaS gives you more software, not less work.
- No one is accountable for the automation staying alive in production.
How managed automation actually works
ThunderStaff owns the whole lifecycle. We don't drop a tool on your desk — we run the workflow with you, and keep it running.
- 01
Map the process
We map your highest-cost workflow end-to-end in the free Process Blueprint — exactly where the time and money leak.
- 02
Build the agent
We build a custom AI agent for that workflow, wired into the systems you already use.
- 03
Deploy with guardrails
It goes live with human approval gates and exception handling, so judgment calls stay with your team.
- 04
Co-manage in production
We monitor it, fix it when systems change, and own the outcome — alongside your team or MSP.
- 05
Measure and expand
Once one workflow pays off, we map the next. Automation compounds.
Managed automation, one workflow at a time. A verified win:
We were losing 3–4 hours every morning just dispatching emergency calls and figuring out which truck had the right parts. ThunderStaff mapped our entire workflow in two days and built an AI dispatch system that routes calls by urgency, tech location, and truck inventory. Now our dispatcher handles 40% more calls without working overtime, and our first-time fix rate jumped from 62% to 89%. We paid for the whole system in six weeks.
The difference between automation that works and automation that rots is ownership. We monitor every agent in production and fix it when your vendors and systems change — so the ROI you saw on day one is still there a year later.
Run the numbers in the ROI calculatorQuestions, answered
What is managed AI process automation?
It's building custom AI agents to run your repetitive workflows — and co-managing them in production with monitoring, human approval gates, exception handling, and break/fix ownership. You get the outcome, not just a tool.
How is this different from an AI agency or Zapier consultant?
Most agencies build something and hand it over. We stay — monitoring and maintaining the agent so it keeps working when systems change. It's automation with an operator, not a one-time project.
How is it different from RPA?
RPA follows brittle scripts that break on any change. Our agents understand the work and adapt, and we co-manage them so a change is a quick fix, not a silent outage.
What does it cost?
Builds start at a fixed $3,000 with managed operations at $500/mo, and every engagement begins with a free Process Blueprint.
Automation someone actually runs
Start with a free Process Blueprint: we map your most painful workflow, quantify the waste, and show what a managed agent would do about it — no commitment.