AI Services
Intelligent automation that earns its place in production
We design AI agents, LLM applications and automation workflows that remove manual work — grounded on your data, wired into your systems, and measured against real operational outcomes.
What we build
AI services for operating businesses
Not slideware models — systems that sit inside commerce, support and field workflows.
AI agents & copilots
Task-oriented agents that draft, triage, route and complete work inside the tools your teams already use.
LLM & RAG applications
Grounded generation over your documents, product data and operational knowledge — with retrieval you can audit.
Workflow automation
Event-driven pipelines that remove repetitive handoffs between messaging, CRM, ERP and field systems.
Document intelligence
Extraction, classification and validation for invoices, forms, contracts and unstructured operational files.
Use cases
Where AI compounds fastest
Commerce & customer ops
- WhatsApp order assistants
- Returns & ticket triage
- Catalogue Q&A with provenance
Operations & field
- Work-order summarisation
- SOP copilots for technicians
- Exception detection in logs
Enterprise knowledge
- Policy and handbook RAG
- Meeting-to-action pipelines
- Internal support agents
Engineering discipline
Honest AI architecture with clear limits
We use generative AI where it helps and deterministic systems where money, compliance and commitments live.
Grounded on your data
Retrieval boundaries, source citations and freshness rules so answers stay tied to approved content.
Human-in-the-loop where it matters
Approvals for money, compliance and irreversible actions — AI proposes, systems and people decide.
Measurable automation
Latency, containment rate, escalation quality and cost per task instrumented from day one.
FAQ
Frequently asked questions
Where should we start with AI in our business?
We start with a high-volume, high-friction workflow that already has digital footprints — messaging threads, tickets or documents. A focused pilot with clear success metrics beats a broad ‘AI strategy’ deck.
Do you build agents that can take actions, or only chatbots?
Both. Chat interfaces are useful, but the value usually comes from agents that call tools, update systems and escalate cleanly when confidence is low. We design the action surface and the failure modes together.
How do you handle data privacy and model choice?
We match model hosting to your risk posture — private endpoints, on-prem options where required, and clear data-retention boundaries. Sensitive fields can be redacted or kept out of prompts entirely.
Can AI integrate with our existing ERP and messaging stack?
Yes. Integrations are first-class: WhatsApp, CRM, ERP, databases and internal APIs. Agents without reliable tool access become demos — we engineer for production connectivity.
Ready to put AI into a real workflow?
Tell us the process you want to automate. We'll map where agents help, where rules must stay deterministic, and what a credible pilot looks like.
