Service
AI Workflow Automation.
The repetitive work, handled in the background.
We find the repetitive, cross-tool work buried inside your day-to-day operations and replace it with AI systems your team trusts. Intake. Document processing. Reporting. QA. Routing. The boring parts, handled.
What it solves
The real problem, not the pitch.
Every growing business has a handful of workflows that eat 30 to 70% of someone's week, and nobody senior enough wants to own fixing them. Invoice routing. Ticket triage. Brief rewrites. Monthly reports. Compliance checks. The kind of work that's too structured to ignore and too messy to automate with old-school RPA.
AI makes these workflows automatable for the first time, but only if the system is designed by someone who has shipped this before, tested against real failure modes, and wired into the tools your team actually uses.
That's the whole service. We find the highest-leverage manual workflows, design AI systems that replace them, ship them in production, and train your team to run them.
Deliverables
What you actually get.
Every line here is something that runs in production by the time the engagement ends. Not a recommendation. Not a slide.
Workflow audit
A ranked map of every manual workflow, scored on hours per week, risk, and automation readiness.
One to three AI workflows, shipped
Each one end-to-end: inputs, model routing, human-in-the-loop checkpoints, logging, rollback.
Integrations into your stack
Slack, email, Notion, HubSpot, Google Drive, Salesforce, Jira, custom APIs. Wherever the work lives.
Evals and monitoring
Every workflow has a live eval set. Regressions are caught before they reach the business.
Runbook and training
Your team owns it by week six. No mystery boxes.
Monthly ROI report
Hours reclaimed, dollars saved, errors avoided. In writing, every month.
Timeline
What the first six weeks look like.
Week 1
Diagnose
We shadow your team, instrument the workflow, and lock the top one to three candidates with your executive sponsor.
Weeks 2 to 4
Build
We design, build, and eval the first system in a staging environment against your real data.
Weeks 5 to 6
Ship and train
Production rollout with human-in-the-loop, team training, runbook, and the first monthly ROI report drafted.
Questions
Before you even have to ask.
Is this the same thing as Zapier or n8n?+
No. Those tools are great for deterministic, rules-based automation. We handle the messy, judgment-heavy work: reading unstructured documents, drafting responses, routing edge cases, synthesizing data across sources. Often we use those tools as plumbing, but they're not the product.
What if the AI makes a mistake on a critical workflow?+
Every workflow ships with a human-in-the-loop checkpoint matched to its risk level. High-risk steps require review; low-risk steps run autonomously with spot checks. We also ship eval sets so regressions get caught before they reach production.
Where does the AI run?+
In your cloud, under your API keys, with your data controls. You own the infrastructure. We're a partner, not a platform.
Can you work alongside our internal engineering team?+
Yes, and we prefer it. We write clean code, document thoroughly, and often hand off systems to internal teams after the first 90 days.
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Put ai workflow automation into your business.
A 30-minute call to scope this against your actual workflows. You'll leave with a rough plan and a rough number. No pressure either way.