Software & SaaS
Custom software, SaaS products and internal platforms engineered to scale.
AI & Automation
AI agents and automations that do real work
We map the manual work slowing your team down, then design, build and maintain automations and AI agents that run reliably across your CRM, inbox, support desk and internal systems.
The problem
Manual work is quietly expensive
Most operations run on copy-paste between tools. It works until volume grows, then errors, delays and hiring pressure follow.
Re-keying data
Leads, orders and tickets are copied by hand from one system to the next, and mistakes compound.
Slow response times
Enquiries wait in shared inboxes until someone has time to read, route and reply.
Brittle automations
Workflows built ad hoc break silently, and nobody knows which ones the business depends on.
AI pilots that never ship
Teams experiment with AI tools, but nothing reaches production with guardrails and monitoring.
Our approach
Automation engineered like software
We treat every workflow as a small production system: scoped, versioned, tested, monitored and documented, so it keeps working after launch.
- Process mapping before anything is built
- The right platform for the job: n8n, Zapier, Make.com or custom code
- AI steps with guardrails, fallbacks and human review where it matters
- Error alerts, logging and run history for every workflow
- Documentation and handover your team can own
Capabilities
What our AI & Automation work covers
Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.
AI agents
Agents that qualify leads, triage tickets, extract documents and draft replies, with human approval for sensitive actions.
Workflow automation
End-to-end workflows in n8n, Zapier or Make.com connecting your CRM, email, forms, spreadsheets and internal tools.
CRM automation
Lead routing, enrichment, deal updates and follow-ups in HubSpot, Salesforce, Pipedrive and similar CRMs.
AI integrations
Language-model features added to your existing products and systems through secure, observable APIs.
Document processing
Invoices, contracts and forms turned into structured data and pushed into the right system.
Reporting automation
Scheduled data pulls and AI-written summaries delivered to Slack or email.
In practice
Automation patterns we build
Business event, AI processing, system action, notification. Select an example to see how it runs.
- Leadform.submitted
- AI Agentqualify + enrich
- CRMdeal.created
- Slack#sales notified
- Ticketticket.created
- AI Agentclassify + draft
- Helpdeskpriority set
- Teamagent assigned
- Inboxinvoice.pdf
- AI Extractfields + checks
- ERPbill.drafted
- Approverreview requested
- Schedulemon 08:00
- Data synccrm + billing
- AI Summarytrends + risks
- Slack#leadership
How we work
How we deliver AI & Automation
Audit
We map your workflows and rank automation opportunities by time saved, risk and effort.
Design
We define triggers, data, edge cases, AI steps and failure handling before building.
Build
We build, test with real data and review each workflow with the people who run it.
Launch & monitor
We deploy with alerts and run logs, then tune based on real usage.
Technology
Technology we use
Chosen for reliability, maintainability and fit with your existing stack.
Automation platforms
AI
Business systems
Custom code
Use cases
Where teams put this to work
Common starting points. Your process will have its own details, which is why every engagement starts with discovery.
- 01
Lead qualification & routing
Score inbound leads, enrich them and assign the right owner in your CRM within seconds.
- 02
Support ticket triage
Classify, prioritise and draft replies so agents start from context, not a blank page.
- 03
Invoice & document processing
Extract fields from PDFs and emails and create records in your accounting or ERP system.
- 04
Sales follow-up
Trigger personalised follow-ups and reminders based on real deal activity.
- 05
Employee onboarding
Create accounts, assign tasks and send welcome material when a hire is confirmed.
- 06
Operational reporting
Compile weekly metrics from several tools and deliver a written summary to leadership.
Industries
Built for operational teams across industries
The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.
SaaS & technology
Product engineering, integrations and AI features for software companies.
Professional services
Automated intake, document workflows and client reporting for agencies, consultancies and firms.
E-commerce & retail
Order, inventory and customer-service automation connected to your store and ERP.
Real estate
Lead handling, listings and transaction workflows for brokerages and property teams.
Logistics & operations
Tracking, dispatch and exception handling across carriers and internal systems.
Finance operations
Invoice processing, reconciliation support and reporting automation.
Case studies
Proof, published with evidence
Every case study we publish is approved by the client and limited to results we can verify.
Verified case studies only
We publish a case study only when the client has approved it and every result is verified. Until then, we are glad to walk you through our approach, architecture and delivery process for problems like yours.
case-study.format
- 01Challenge
- 02Approach
- 03Architecture
- 04Implementation
- 05Verified outcome
FAQ
AI & Automation questions
Straight answers to the questions that come up in first calls.
What is AI automation?
AI automation combines workflow automation, which moves data and triggers actions between tools, with AI steps that read, classify, extract or write. For example, an incoming email is classified by a language model, key details are extracted, and a record is created in your CRM automatically.
Should we use n8n, Zapier or Make.com?
It depends on volume, complexity, hosting requirements and who will maintain the workflows. Zapier is fastest for simple workflows, Make.com handles complex visual logic well, and n8n suits high-volume or self-hosted workflows that need custom code. We recommend a platform after mapping your process.
Can AI agents make mistakes?
Yes. Language models can be wrong, so we design agents with guardrails: constrained outputs, validation, confidence thresholds and human approval for sensitive actions. Every run is logged so issues can be traced and fixed.
Do you maintain automations after launch?
Yes. We offer ongoing support for monitoring, fixes and improvements. Alternatively, we hand over documentation so your team can own the workflows.
Related services
Often combined with
Most engagements touch more than one discipline. The same team can take you from strategy to production.
Dedicated Teams
Vetted engineers who join your team, your tools and your delivery cadence.
Consulting
Product, architecture and AI strategy before you commit budget.
Start a project
Tell us what is slowing your team down
Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.
Intro call · Fixed-scope proposal · No obligation