Assess
Paid architecture and risk review with a concrete 30-day execution plan.
Production-first agent operations
We design, implement, and run AI workflow automation with approvals, access boundaries, observability, and recovery runbooks.
Operating loop Assess -> Build -> Run
Default path: assessment -> one scoped build -> weekly operations.
Best fit: one high-value workflow, real users, and recurring reliability issues.
We run execution, not just advisory. Every engagement ships technical work with clear owners, practical constraints, and acceptance criteria.
Paid architecture and risk review with a concrete 30-day execution plan.
Quickstart, buildcamp, or sprint to ship the workflow and harden the edges.
Weekly operator cadence for reliability, incidents, and continuous delivery.
Built for luxury concierge and destination teams that need governed automation, provider orchestration, and reliable execution under real client pressure.
Production agents fail without access boundaries, approvals, and clear recovery paths. We design those in from day one.
Tool permissions, scoped execution, and explicit approval points for sensitive steps.
Health checks, logs, and verification steps that make failures diagnosable under pressure.
Runbooks and restart sequences that keep the system operable when it inevitably breaks.
Clear outcomes teams can actually use, not abstract capability labels.
First loop
We ship one workflow with acceptance criteria, verification steps, and a runbook that survives restarts.
Stabilize
We harden integrations, queues, and automations so failures stop repeating every week.
Control path
One place for approvals + one lane for execution, so humans can safely supervise automation.
Scale
We implement weekly execution rhythm so delivery quality stays consistent as scope grows.
Start with a paid assessment, verify execution quickly, then scale only when the outcomes are clear.
Start with OpenClaw Quickstart to establish a private control path and one integration.
Start with Hardening Sprint to add approvals, observability, and a recovery path.
Start with Production Sprint when the workflow and constraints are already validated.
Start with Operator Retainer for weekly execution cadence and incident handling.
Architecture review + reliability diagnosis + decision-ready plan for the next 30 days.
5-7 days to ship a bounded operator baseline: secure access boundary, control channel, one integration, verification checklist, and handoff notes.
3 days to ship one workflow end-to-end with real inputs/outputs, verification steps, and a hardening backlog.
2 weeks to harden one workflow: approvals, observability, safer execution boundaries, and a recovery path.
4 weeks to take one workflow to production: approvals, reliability hardening, observability, and runbooks.
Weekly execution cadence and incident ownership. 3-month minimum. Not an open-ended hourly bucket.
When the system is stable, we can run targeted hiring for permanent operators.
Reusable packages and patterns we deploy repeatedly. This is how we move fast without hand-waving.
Gateway + Telegram control plane + private access boundary + verification checklist.
Inbox event delivery that survives IAM drift and watcher lifecycle issues.
Deterministic automation surface with a recovery path when browsers stall.
Mobile-first capture and summaries with tight cost and response policy.
Incident triage and restart sequences that turn outages into repeatable recovery.
Bring your data and constraints. We ship a working workflow + hardening backlog in days.
Persistent client memory + provider orchestration + human approvals for white-glove service teams.
We keep a living catalog of packages and operating patterns and can map them to your workflows.
Recent failure modes, concrete interventions, and the outcomes teams paid us for.
Problem: email events were intermittently missing or delayed.
Fix: stabilized the Pub/Sub -> webhook chain and removed configuration drift that broke delivery after restarts.
Verified by: sending test messages and confirming end-to-end delivery with repeatable checks.
Outcome: inbox events delivered consistently for one workflow, with a recovery path when delivery stalls.
Problem: tabs were visible, but interactive control failed during real tasks.
Fix: moved the workflow to a managed control mode and corrected routing so automation could attach reliably.
Verified by: running repeat click/type sequences on the same tab and confirming consistent success.
Outcome: predictable automation for one operator path, instead of “works in demo, fails in production.”
Problem: the bot would stall or miss replies after restarts and configuration changes.
Fix: standardized restart and recovery procedures with concrete checks, so incidents stopped turning into guesswork.
Verified by: controlled restarts and a short health checklist before resuming operator work.
Outcome: faster recovery and fewer repeated outages for a single deployed workflow.
We don’t call work “done” unless it can be verified with a checklist, logs, and a recovery path in your environment.
Clear definition of done for one workflow, tied to real inputs and outputs.
Least-privilege tool actions with explicit approval points for sensitive steps.
Repeatable checks that prove the workflow is healthy after deploys and restarts.
Restart/rollback sequence and failure signatures that turn incidents into repeatable recovery.
Logs, health checks, and basic alert signals for the workflow path.
Owner map and operating cadence so delivery doesn’t collapse after week one.
Short answers to the objections that usually stall execution.
One end-to-end outcome a real user depends on (trigger -> tools -> data -> message), with a verify checklist and a recovery path.
No. OpenClaw is a common baseline. We ship workflows with whatever your stack needs (LLMs, queues, webhooks, CRMs, internal tools).
Yes. We ask for the minimum access required, keep actions least-privilege, and document what we changed so you can operate it after handoff.
We avoid copying secrets into chat. We prefer env/secret manager paths and verify access boundaries before enabling any automations.
No. We run weekly operator cadence and incident recovery paths. If you need round-the-clock coverage, we scope it separately.
That’s normal. Start with assessment, then pick a quickstart package or a bounded sprint. Retainer is the upgrade when you need ongoing ownership.
Stripe invoice first. After payment, you get a scheduling link and a short pre-read form so we can execute in the first session.
Concierge OS series first, then implementation notes from production operator work.
Why concierge is an operating-system problem, not a chatbot feature.
Memory, matching, approvals, and execution contracts for a production v1.
How to keep white-glove workflows stable under load and incident pressure.
How customer agents and provider agents cooperate with scoring and escalation.
Realtime operational views for timing-critical concierge execution.
Privacy, approvals, and auditability controls for sensitive VIP workflows.
Turning delivery engagements into reusable software modules.
One lane from intake to fulfillment with approvals and feedback updates.
A staged plan to move from one scoped lane to stable multi-lane operations.
The installation and recovery baseline behind stable operator control paths.
Read the blog for implementation details, then book an assessment when you want help shipping faster.