Replace busywork with traceable automation
AI automation is software that runs your repetitive workflows for you, using AI for the steps that need judgement. It works across your tools, handles those calls responsibly, and leaves an audit trail your team can actually follow.
30-minute call · no pitch deck · no obligation
Everything this capability ships
Senior-owned, AI-accelerated, and wired into your stack. Not a deck of recommendations.
Workflow design
Map the process first, automate second. We refuse to automate bad processes, because that just makes the bad process faster.
AI-assisted decisioning
Classify, route, extract, and summarise with models inside the workflow. Deterministic outcomes for deterministic steps, AI where judgement is needed.
Event-driven triggers
Webhooks, schedules, database changes, inbox rules. Start workflows where work actually originates.
Integration breadth
CRM, billing, ticketing, warehouse, comms. We wire into what you use and document every integration we own.
Human approvals
Approval steps for high-impact branches. Slack, email, or inline UI. People stay in the loop where it matters.
Observability and replay
Every run logged, every step replayable. Debug and improve with evidence, not anecdotes.
Back-office automation that gave a team its week back
Meridian Finance · Operations
We mapped their messiest manual workflows and rebuilt them as traceable, event-driven automations across twelve tools. AI handled the steps that needed judgement, deterministic code handled everything else, and every run got full replay and observability.
From first call to production
Process audit
Shadow the workflow, quantify the time and error cost, and decide where automation earns its keep.
Design and sign-off
Whiteboard the target workflow with the people who run it today. No surprises on rollout day.
Build and integrate
Implement on your infrastructure with typed integrations and AI steps where decisioning adds value.
Parallel run and rollout
Run old and new in parallel. Cut over only once results match and the team trusts the automation.
What it actually solves
Customer onboarding
Extract data from inbound forms and emails, enrich, create accounts, brief the team. A smooth first hour, every time.
Lead qualification
Route, score, and enrich inbound leads. Sales gets context, ops gets clean data, nobody writes the same summary twice.
Invoice and document processing
Classify, extract, match, and post. AI reads what rules cannot and hands back confidence scores you can act on.
Incident triage
Classify incoming alerts, assemble runbooks, and nudge the right responder. Faster resolution, fewer pages.
Tools we reach for
Orchestration
- Temporal
- Inngest
- Trigger.dev
- n8n
- Windmill
AI steps
- OpenAI
- Anthropic
- Gemini
- Open-weight models
Integrations
- HubSpot
- Salesforce
- Slack
- Stripe
- Intercom
- Snowflake
Runtime
- AWS
- GCP
- Azure
- Cloudflare Workers
- Vercel
Questions, answered
Those are fine for 20-step automations with predictable shapes. We build long-lived, branching, AI-aware workflows that need versioning, tests, and observability.
Yes. Most engagements begin with one high-pain workflow. Once that is humming, we stack on adjacent ones.
Your cloud. Your credentials. We do not run your workflows on our infrastructure unless you explicitly ask us to.
Retries, circuit breakers, and dead-letter queues. When a third-party integration breaks, the workflow does not.
Every workflow ships with a diagram, a plain-English description, and a runbook. Handover is a design goal, not an afterthought.
Let’s build it together.
One senior team, one flat monthly subscription, no lock-in. Book a call and we’ll map the fastest path to shipped.