We start with a business audit — not a tool pitch. Then we automate the workflows worth buying back, and stay on to make sure it holds past launch.
30 minutes with a founder. No BDRs, no slides.
Whether you need to find the hours worth automating or wire up workflows you've already mapped — pick the path that fits.
"We know something's off but we're not sure where to focus first."
Walk away with: a revenue/cost leak map, prioritized initiatives, a 30-day quick-wins playbook, and a 90-day roadmap.
Start with Operations Audit →"We know the workflows. We need a senior team to wire them up — reliably, with guardrails."
Walk away with: a production automation with guardrails, audit logging, and a retained team for ongoing optimization.
Start with Intelligent Automation →The same three capabilities, every engagement. We diagnose first, unify the data, and build automation that stays fixed — so your team gets hours back, not more maintenance.
Most automation projects fail because they start with the tool. We start with the workflow, the data, and the dollars — so your budget goes toward the hours that actually matter.
TMS, WMS, ERP, support desk, BI, spreadsheets. We unify the data layer first, so every decision downstream sits on one number — not five tools and a Slack thread.
We build automation with observability, runbooks, and a clear owner for every flow. Nothing gets handed off and forgotten. It keeps paying off long after we're gone.
Every engagement follows the same arc: diagnose, automate, operate. Here's what that looks like across the teams we've worked with.
The situation: Inventory and fulfillment workflows spread across disconnected systems, manual reconciliation eating hours every week.
What we did: Operations audit → unified the data layer across TMS/WMS → automated reorder and exception handling.
What changed: One source of truth for inventory across channels. Fewer manual touches, faster fulfillment, fewer stockouts.
The situation: Manual scheduling, billing coordination, and patient communication creating bottlenecks across clinical operations.
What we did: Mapped the end-to-end patient ops workflow → deployed agentic automation for scheduling, reminders, and billing handoffs.
What changed: Reduced coordination overhead. Staff time redirected from admin to patient care.
The situation: Support tickets manually triaged and routed. Escalation rules lived in a wiki nobody updated. Resolution times climbing.
What we did: Intelligent automation for triage, routing, and first-response. Escalation logic built into the system, not a runbook.
What changed: Faster resolution without adding headcount. Agents focused on complex cases instead of sorting.
The situation: Month-end close and reconciliation consuming the finance team for a full week every cycle. Manual data pulls across systems.
What we did: Automated data extraction, matching, and exception flagging. Pattern recognition for recurring reconciliation issues.
What changed: Close process shortened. Fewer manual touches, fewer errors, fewer late nights.
No tool pitches. No RPA vendor relationships. We start with your workflow and your P&L — and tell you honestly what's worth automating and what isn't.
The people who scope it build it. No handoffs, no juniors on your account. Strategy, design, and engineering from one integrated crew.
Automation needs owners. We build the runbooks, set up observability, and stay retained so nothing becomes next year's maintenance burden.
Audit timelines, system access, what you're not obligated to automate, and how fast the ROI actually shows up.
Three weeks for Focused (a single function), four weeks for Standard (cross-functional), and five to six weeks for Enterprise (multi-business-unit).
Read-only access is ideal. We sign your DPA, work inside your environment, and never move your data outside it.
Good. The roadmap explicitly tags which initiatives are people-only, process-only, automation-only, or AI-shaped. You pick what to do, in what order, and with whom.
The 30-day quick-wins playbook usually pays for the audit. Single-agent automations typically hit ROI in the first quarter; bigger orchestrations pay back in six to nine months.
Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.
