Can we start small and expand later?

Yes. Most engagements start with one painful workflow and add adjacent ones once it is proven.

Where does the automation run?

In your cloud, using your credentials. We do not host your workflows unless you ask us to.

How do you handle flaky third-party systems?

Retries, circuit breakers, idempotency and dead-letter queues keep workflows running when an integration fails.

Do you document what you build?

Each workflow ships with a diagram, a plain-English description and a runbook your team can follow.

BuildEngineering & Development

Replace busywork with automation you can trust

AI automation is software that runs your repetitive workflows end to end, using models for the steps that need judgement and plain code for the rest. Every run logged, every decision explainable, deployed in your cloud.

Enquire about AI Automation How the capacity model works

Written reply from a senior person · no pitch deck · no obligation

5 days
to first workflow live
100%
of runs logged and replayable
Human
approvals where risk is high
200+
integrations supported

What we build

What AI Automation includes

Senior-owned, AI-accelerated and integrated into your stack. Everything below sits inside your monthly capacity.

Workflow design

We map the process before automating it. Automating a bad process just makes it faster.

AI-assisted decisioning

Models classify, route, extract and summarise. Deterministic rules handle fixed steps.

Event-driven triggers

Workflows start from webhooks, schedules, inbox rules, database changes or form submissions.

Integration breadth

CRM, billing, ticketing, warehouse, accounting and comms tools connected and documented.

Human approvals

Approval steps for high-impact branches via Slack, Teams, email or inline UI.

Observability and replay

Every run and step logged with inputs and outputs, so failures are diagnosable and fixes verifiable.

Process

How we run AI Automation

Capacity starts in days. Here is what the first weeks look like.

1
Week 1
Process audit
Observe the workflow, measure time and error cost, and pick where automation pays off first.
2
Weeks 1 to 2
Design and sign-off
Design the target workflow with the people who run it today.
3
Weeks 2 to 5
Build and integrate
Implement on your infrastructure with typed integrations and AI steps where useful.
4
Weeks 4 to 6
Parallel run and rollout
Run old and new side by side, cut over when results match, keep improving monthly.

Fit

When AI Automation is the right call

Customer onboarding

Extract data from forms and emails, verify, enrich, create accounts and brief the team.

Lead qualification

Score, route and enrich inbound leads so sales gets context and the CRM stays clean.

Invoice and document processing

Classify, extract, match and post with confidence scores and exception queues.

Operations and compliance

Checks, reminders, reports and escalations that currently depend on someone remembering.

Stack

Tools we use for AI Automation

We use what fits your business and your existing systems, and we say so when the answer is 'not this one'.

Orchestration

Temporal
Inngest
Trigger.dev
n8n
Windmill

AI steps

Anthropic Claude
OpenAI
Gemini
Open-weight models

Integrations

HubSpot
Salesforce
Xero
QuickBooks
Slack
Microsoft 365
Stripe

Runtime

Railway
AWS
GCP
Azure
Cloudflare Workers

FAQ

AI Automation questions, answered.

Those suit simple, predictable automations. We build long-lived, branching, AI-aware workflows with versioning, tests and observability, and we can still use those tools where they fit.