AI and Business Process Automation
Put AI agents and reliable automation to work, without risking sensitive data.
Every growing company picks up manual drag: skilled people copying data between tools, answering the same questions and compiling reports by hand. We identify the processes where automation delivers the fastest return, then implement AI agents and automated workflows that run reliably inside the tools you already use. Strict security rules apply, and a person approves the sensitive steps.
What we start from
- Manual processes
- Company data
- Security rules
- 1Review
- 2Implement
- 3Govern
- AI agents
- Robust workflows
- Human approval
What you own
Manual work and stand-alone AI pilots don't scale.
Skilled people stuck copying data.
Operations, finance and sales staff spend hours re-typing data between systems, which adds delays and mistakes.
AI experiments that go nowhere.
Stand-alone chat tools and one-off prompts don't create value because they aren't connected to your systems or secured.
Headcount grows with every order.
Without automation, every increase in volume means hiring more people for admin.
AI and automation you can rely on.
AI agents and internal assistants
AI agents that know your company, prepare account briefs and sort requests, with links to their sources.
Learn moreWorkflows across your tools
Reliable n8n, Make and custom API workflows that sync data, trigger approvals and remove manual handoffs.
Learn morePrivate LLM integration
Large language models integrated securely into your products or internal tools, with clear governance over usage and cost.
Document processing
Invoices, contracts, RFPs and forms are read, checked and entered into your ERP or CRM automatically.
AI readiness review
A clear review of data risks, the rules you need and a ranked list of the automations that pay back best.
Tools we work with
- n8n
- Make
- Zapier
- OpenAI Enterprise
- Anthropic
- LangChain
- HubSpot
- Slack
- Google Workspace
A clear path from review to a live system.
- 01
Process and risk review
We look at repetitive work, check how sensitive the data is and rank ideas by time and money saved.
- 02
Plan and rules
You get a written spec, clear security limits and a delivery plan.
- 03
Implement and validate
We implement, integrate and validate the workflows against real historical cases, together with your team.
- 04
Monitor and improve
Error alerts, AI cost tracking and new workflows on a monthly retainer.
What this looks like in practice.
Start with one process. Grow what works.
- Review
AI readiness and process review
Clear rules for safe AI use and a roadmap of automations ranked by return.
Book a review - Project
Automation implementation
One complete AI agent or multi-system workflow, designed, tested, documented and live in your systems.
Scope a project - Retainer
Ongoing automation engineering
Monitoring, error handling, AI tuning and new workflows every month.
Discuss a retainer
AI and automation questions.
Where should we start with AI and automation?
Start small. Our AI readiness review finds one to three frequent, rule-based processes where automation pays back quickly.
How do you stop AI from making things up or doing things it shouldn't?
We limit agents to your checked company data, validate every output against fixed rules, log every action and require a person to approve anything customer-facing or financial.
How do you protect our confidential data?
We use enterprise AI services that don't keep your data, so your prompts and documents are never used to train public models. For regulated companies, we can run models inside your own AWS, Azure or Google Cloud account.
How do you choose between n8n, Make, Zapier and custom code?
We pick based on your volume, security needs and who will maintain it. Zapier and Make suit simple flows your business team owns. Self-hosted n8n or custom TypeScript suits high-volume, complex or sensitive work.
Related services.
Work faster without losing control.
Book an AI and automation review to find the automations that pay back best.