SYSTEMS INTEGRATION · AUTOMATION · PRACTICAL AI
Connect systems.Automate processes.Apply AI where it creates real business value.
Cutting Edge Labs is a technology partner for companies facing integration friction. We turn disconnected systems, manual work, and unclear AI opportunities into practical architectures, working workflows, and maintainable technology.
Start a conversationCREDIBILITY
Cutting Edge Labs Limited
Systems integration, process automation, practical AI implementation, and architecture-led delivery.
Technologies
OpenAI · n8n · Salesforce · Shopify · Node.js · TypeScript · Python · FastAPI · Docker · Linux
Tools are selected for fit, not forced onto the problem.
Engagement model
Review → Scoped delivery → Handover
Clarify the workflow, agree the smallest practical delivery path, then hand over with clear ownership and next steps.
When the business works around its systems, the systems are the problem.
Data sits in different places. Teams repeat manual steps. Integrations are fragile or missing. AI sounds promising, but the path from idea to a working process is unclear.
The first job is not to add another tool. It is to understand the workflow, clarify ownership, and design the right connection between systems, people, and decisions.
CAPABILITIES
Where We Make a Difference
Systems integration
Connect the systems and data flows your operation depends on, so information moves reliably and teams stop rebuilding the same work by hand.
Process automation
Remove repeatable manual steps where automation reduces complexity, improves visibility, and leaves responsibility clear.
Practical AI implementation
Apply AI where it supports a real business decision or workflow, with a clear implementation path and human oversight where it matters.
Architecture and delivery
Turn an unclear problem into a practical architecture, a focused prototype or implementation plan, and a maintainable next step.
SELECTED DELIVERY EXAMPLES
Two examples of practical technology delivery
Internal knowledge assistant in Slack
Problem: Company knowledge was spread across wikis, repositories, and shared folders, making answers hard to find in daily work.
What changed: Designed and built the first working Slack-based RAG prototype, with a Python API and MongoDB vector store.
Observable result: It validated the feasibility and value of an in-Slack assistant; the company later took the system forward toward production.
eCommerce operations integration
Problem: A cosmetics business needed online orders to work reliably across new B2C stores, ERP, CRM, fulfilment, and product data.
What changed: Designed and implemented a middleware integration connecting eCommerce channels, ERP, Salesforce CRM, PIM, shipping, and returns workflows.
Observable result: Orders, inventory, customer data, and shipping status became synchronised, while repeatable operational jobs replaced manual steps. The integration remains central to the company’s eCommerce operations.
ENGAGEMENT MODEL
Review → Scoped delivery → Handover
Review
Map the business problem, current workflow, system boundaries, data, owners, and the result that would justify change.
Scoped delivery
Agree the smallest practical delivery path: the outcome, scope, architecture, ownership, and what a useful handover requires.
Handover
Build, integrate, automate, or supervise the implementation, then hand over with clear ownership, documentation, and next steps.
A good fit starts with a real operational problem
Good fit: systems that need to work together, manual processes slowing the business, or an AI opportunity with a clear purpose, owner, and implementation path.
Not the right fit: technology chosen for its own sake, black-box automation without oversight, or delivery without clear ownership and data boundaries.
START WITH THE PROBLEM
Start with the system or workflow that is costing you the most
Send a short outline of the workflow, the business owner, what is breaking or slowing down, and the systems or data involved. The first conversation is a brief review to decide whether a practical delivery path exists.
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