Full-lifecycle process automation
End-to-end automation of the operational processes that eat your team's week — onboarding, billing reconciliation, support triage, content ops, contract review. Agents, evals, and the boring infrastructure that keeps them running.
Most “AI automation” is a Zapier flow that breaks every Tuesday. We build durable, evaluated, observable automations for the long-running processes your operations team runs by hand: customer onboarding, invoice reconciliation, support triage, content moderation, contract review. Agents where they help. Deterministic code where they don’t.
A working automation for one or two named processes, end-to-end.
Durable execution on Temporal, Inngest, or n8n — survives restarts and retries.
Eval suite for every LLM step in the pipeline, run on every change.
Human-in-the-loop checkpoints where confidence drops below threshold.
Cost, latency, and accuracy dashboards from day one.
Runbook and training for your ops team to operate it past handover.
Inside the engagement.
- 01
Process discovery
A two-day workshop with the team that owns the process today. We map every step, every exception, and every "we email the spreadsheet" moment.
- 02
Durable workflows
Temporal, Inngest, or n8n for long-running, retryable processes. Hours-long flows that survive deploys, restarts, and partial failures.
- 03
Agentic steps
LLMs where the work is unstructured: classifying tickets, extracting fields from PDFs, drafting responses. Structured outputs, not prose.
- 04
Human handoff
Confidence thresholds, review queues, edit-and-approve flows. The agent does 80%; the team sees the 20% that warrants a human.
- 05
Integrations
Salesforce, HubSpot, Stripe, Zendesk, Slack, Notion, Airtable, Gmail. We use first-party APIs over scraping; documented rate limits and retries.
- 06
Observability
Every run traced, every LLM call logged with tokens and cost, every human override captured. The metric is cycle time, not "automation rate."
The automation toolchain.
Durable workflow engines, evaluated LLM steps, observable everything. Tools that survive a Friday at 5pm.
- + WORKFLOWSTemporalInngestn8nTrigger.dev
- + AIClaudeGPT-4 / 5GeminiOpenRouter
- + EVALSBraintrustPromptfooInspectcustom
- + OPSSentryOpenTelemetryGrafanaPostHog
From kickoff to handover.
- 01
Process audit
We sit with the team that owns the process. Map every step, time every step, surface every exception. You leave with one process scoped and two declined.
Process mapTime studyScope freezeWEEK 1 - 02
Eval + happy path
Eval suite seeded from real cases. Happy path running end-to-end on staging by week five.
Eval harnessStaging pipelineCost projectionWEEK 2–6 - 03
Edge cases + handoff
Exception handling, human review queues, monitoring. Ramped to 10% of live volume by end of week ten.
Review queueDashboardsRamp planWEEK 6–10 - 04
Full rollout + train
Ramp to 100%, ops team trained, runbook handed over. 30-day support tail.
Full rolloutOps trainingRunbook30-day supportWeek 11–12
Zapier is great for short, deterministic flows. We build long-running, retryable, evaluated workflows with LLM steps and human review — the ones Zapier breaks under. If Zapier covers your case, we’ll say so.
Sometimes. Which is why every LLM step ships with an eval suite, structured outputs, and a confidence threshold that routes low-confidence cases to a human queue. The metric is cycle time at acceptable accuracy, not 100% automation.
High-volume, repetitive, partially-structured. Onboarding, invoice reconciliation, support triage, content moderation, contract first-pass review. We score candidates in week one.
Yes. Temporal, Inngest, and n8n all self-host. Models can be on-prem with open weights if your compliance posture requires it.
The eval suite catches regressions. Most prompt edits ship without engineering — your ops team can edit and re-run evals.
Fixed-fee from the audit. Most engagements land between 6 and 12 weeks. Ongoing operational cost is sized in week one.
Hand a process over to the agents.
Tell us a process your team runs by hand. We’ll come back with a candidate scorecard and a fee letter.