Delete the work instead of hiring for it.
Every business runs on invisible manual labour: copying rows between tools, chasing approvals, rebuilding the same report every Monday. We find those loops, automate them properly, and give you the monitoring to prove they keep working.
“Eliminating repetitive tasks and saving hundreds of manual hours with custom automation flows.”
Where manual process quietly costs you
If two or more of these sound familiar, the underlying issue is usually architectural rather than a shortage of effort. That is the part we are good at.
- Someone re-keys the same record into three systems every single day.
- Leads sit unattended for hours because routing depends on a person checking an inbox.
- Monday reporting consumes half a day of a senior person's week, every week.
- An automation broke six weeks ago and nobody noticed until a customer complained.
- Tools do not talk to each other, so a spreadsheet becomes the source of truth.
Five things we deliver inside this practice.
Each one is a complete piece of engineering, not a line item on a proposal.
Workflow Automation (n8n & Make)
Your tools connected into flows that run reliably, log every execution, and alert a human when they cannot proceed.
- Self-hosted n8n for data that cannot leave your estate
- Workflows versioned in Git, not clicked into a UI
- Error branches with human notification
- Execution history you can audit
Custom Webhooks & API Pipelines
Real-time synchronisation across platforms, built to survive duplicate deliveries and partner downtime.
- Signature verification on every inbound hook
- Idempotency keys and replay protection
- Dead-letter queues with automatic retry
- Reconciliation jobs that catch silent drift
Email & CRM Automations
Lead capture, enrichment, routing, and nurture sequences that respond in minutes rather than business days.
- Enrichment and scoring before assignment
- Round-robin routing with SLA timers
- Behaviour-triggered nurture sequences
- Clean attribution back to source
Scheduled Data & Report Jobs
Background jobs that collect, transform, and deliver the numbers before anyone has to ask for them.
- Cron and event-driven scheduling
- Incremental syncs instead of full reloads
- Delivery to email, Slack, or object storage
- Failure alerts with the offending row attached
AI-Powered Automated Workflows
Automation with judgement — classification, extraction, and drafting inserted exactly where rules alone fall short.
- Model calls as a step, not as the whole system
- Confidence thresholds with human review queues
- Deterministic fallbacks when the model is unsure
- Cost tracked per workflow run
Results from this practice
How this engagement runs.
Named phases with named outputs. You always know what is being produced and when you will see it.
- P1Week 1
Process audit
We shadow the actual work and time it. Every candidate process gets an hours-per-month figure and a difficulty score, so priorities are argued with numbers.
Process inventoryHours-saved modelPriority ranking - P2Week 1-2
Highest-value flow first
We automate the single most expensive loop first and run it in parallel with the manual process until it demonstrably matches.
First live workflowParallel-run comparisonConfidence report - P3Week 2-5
Connect the estate
Remaining flows are built on shared, versioned components — one authentication layer, one error strategy, one alerting channel.
Workflow libraryShared credential vaultAlert routing - P4Week 5-6
Instrument and hand over
Dashboards showing runs, failures, and hours saved, plus training so your team can extend the flows without calling us.
Operations dashboardTeam trainingExtension guide
The stack we reach for
Chosen for operational boredom, not novelty. If something newer is genuinely better for your case we will say so, and explain the maintenance cost.
What you receive
Every engagement ends with these in your accounts, whether or not we keep working together afterwards.
- Workflow definitions versioned in your repository
- Credential vault with scoped access
- Execution monitoring and failure alerting
- Hours-saved dashboard for the board deck
- Runbook for the five most likely failures
- Training session for your operations team
This capability, applied.
The engineering decisions and the numbers that followed them.
Questions we get asked
Mostly the engineering around the automation. Signature verification, idempotency, retries with backoff, dead-letter queues, and alerting turn a failure into a notification instead of a silent gap you hear about from a customer.
Yes. Self-hosted n8n or custom services inside your VPC is our default when data is sensitive, and it usually costs less than per-task pricing at volume.
We time the manual process before touching it and instrument every automated run afterwards. The hours-saved dashboard is built from real execution data, not estimates.
Let us talk about business & process automation.
Two ways to start, both of them short. Bring the problem, not a specification — the first useful thing we do is tell you what we would build and roughly what it costs.
Book an architecture call
Fifteen minutes, no deck. We map your problem to an approach and tell you what a realistic scope and budget look like.
- A specific technical recommendation
- A budget band you can plan against
- An honest answer if we are the wrong fit
Send a written brief
Prefer to write it down? Email us the shape of the problem and we will reply with a first take, usually under 12 hours.
- Goes straight to an engineer, not a sales inbox
- We reply with an approach, not a brochure
- Attach anything: repos, docs, screenshots