account_treeAutomation
Automation Systems
RPA and workflow orchestration to eliminate operational bottlenecks.
Unlock hyper-automation and achieve unparalleled operational excellence. We architect intelligent systems that eliminate friction, reduce risk, and scale seamlessly across your entire business.
Fire the Trigger
Four nodes are simulated. The fifth opens an SMTP connection and sends you a real email, then prints the message id it got back.
Scenario0 completed runs
1
Trigger
Invoice email lands in the shared inbox
2
Extract
OCR pulls totals, dates, and PO number
3
Branch
Approval policy decides the path
4
Post
Write to the ledger, retry with backoff
5
Notifylive
Send the confirmation, real SMTP
Where should the Notify node send?
£2,480 invoice, under the approval threshold. Leave it blank to run the graph without sending.
One message, no list, nothing stored. The body is written on the server, this form chooses a scenario, not the words.
Run log
Four of these nodes are a simulation. The fifth opened a socket to a mail server and came back with an id, go and check the inbox. That is the difference between a workflow diagram and a workflow.
What We Solve
The recurring engineering hurdles this practice is built to remove.
01
Operational Inefficiency
Identify and eliminate bottlenecks with automated workflows that ensure constant, optimized output.
02
Human Error Risks
Deploy deterministic automation to handle critical repetitive tasks, reducing manual errors to near zero.
03
Scaling Friction
Build systems designed to expand effortlessly. Add capacity without proportional increases in overhead.
Engineering Capabilities
The disciplines our teams own end to end on every engagement.
01
Workflow Orchestration
Fault-tolerant, distributed task execution using Temporal and AWS Step Functions.
02
System Integration
Connecting disparate legacy APIs into unified, bi-directional data pipelines.
03
Intelligent RPA
Screen-scraping and browser automation for legacy systems lacking modern APIs.
04
Event-Driven Architecture
Real-time reactive systems powered by Apache Kafka and webhooks.
Technology Ecosystem
The production-grade tooling we standardise on for this practice.
Temporal
AWS Step Functions
Zapier Enterprise
Make
Node.js
Python
Apache Airflow
Kafka
How We Deliver
Six phases, in order. Each one closes before the next opens.
- 01
Process Discovery
Deep-dive analysis of existing operational architectures and manual friction points.
- 02
Workflow Mapping
Documenting exact logic flows, edge cases, and required system integrations.
- 03
Architecture Design
Designing scalable, secure integration blueprints using Temporal or Step Functions.
- 04
Integration Engineering
Building secure API connections and configuring data transformation layers.
- 05
Testing & Validation
Rigorous stress testing and simulating failure states to ensure fault tolerance.
- 06
Deployment & Monitoring
Seamless deployment of automated logic sequences with continuous telemetry.
What You Get
The systems we ship most often within this practice.
Automated Onboarding
Zero-touch employee and client provisioning across G-Suite, Slack, and Jira.
Financial Reconciliation
Automated ledger matching across Stripe, banking APIs, and QuickBooks.
Support Ticket Routing
AI-assisted triage routing complex queries to the correct engineering tiers.
Engineering Targets
The service levels we architect and load-test against.
Idempotent
Safe to retry, by design
Baselined
Measured before we automate it
DLQ
Nothing fails silently
Traced
Every step, end to end
Featured Case Study
Measure it before you automate it
Automating a process nobody has timed produces a number nobody can defend. We baseline the manual path first, build the automation as idempotent steps that are safe to retry, and put a dead-letter queue behind it, so a failure is visible rather than silent.
Read the full case studyarrow_forwardBefore you start
Every engagement begins with a written architecture brief covering scope, stack, and delivery phases. You keep full ownership of the code, working software ships every two weeks from the first sprint, and nothing is built on a proprietary runtime you would have to keep paying for.
Is this just Zapier?
No. While we use iPaaS tools when appropriate, we specialize in code-first orchestration (Temporal, Airflow) for mission-critical, high-volume enterprise workflows where Zapier would be too fragile or expensive.
What happens if an API fails mid-workflow?
Our architectures are built on 'durable execution'. If a downstream API fails, the workflow simply pauses and retries automatically according to exponential backoff rules, never dropping the transaction.
Can you automate legacy on-premise software?
Yes. We deploy secure hybrid agents and utilize Robotic Process Automation (RPA) to interface with systems that lack modern REST or GraphQL APIs.
Selected Work
Engagements behind this practice
Full technical write-ups, the constraint we inherited, the architecture we chose, and what it measured after launch.
FinTech
Nexus Global Trading Platform
A reference build: how we would take a decade-old trading system off a shared database and onto an event-sourced, edge-deployed architecture without pausing the market.
Read the case studyarrow_forwardHealthTechAura Patient Portal
A reference build: consolidating a dozen patient-facing apps into one portal, with IoT vitals arriving over MQTT and a HIPAA-shaped control set designed in from the start.
Read the case studyarrow_forwardLogisticsOptiRoute Command Center
A reference build: streaming telematics into a routing model that re-optimises the whole fleet on a fixed cycle, and a dispatcher console that can draw ten thousand vehicles without dropping frames.
Read the case studyarrow_forwardEnterpriseCore Identity Framework
A reference build: one zero-trust identity authority federating a group's inherited directories, so offboarding somebody takes one action instead of eighteen.
Read the case studyarrow_forward
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