Services · AI & Automation

Put AI to work inside your business.

We design practical AI systems that help businesses understand information, automate knowledge work and create better customer and employee experiences.

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See our process →

How it works
Pilot first Fixed proposal only after a tested pilot
Grounded Your content, strict retrieval, human fallback
Boundaried Validation, permissions, logging, cost controls
· The problem

Your customers are already looking.

Too many enquiries.

Volume outruns the team — responses slow down exactly when interest peaks.

Too much information.

Answers exist somewhere in docs, chats and sheets — nobody can find them in time.

Repeated document work.

Extraction and classification eat hours that software should handle.

Hard-to-find internal knowledge.

Expertise walks out with employees; retrieval keeps it in the business.

Manual decision support.

Decisions made on partial information because full context takes too long to assemble.

· The transformation

What changes.

01

Too many enquiries → qualification assistant

Start with the job: volume the team can't answer becomes an assistant that qualifies and escalates.

  • Top questions mapped
  • Grounded answers
  • Handoff with context
02

Too much information → knowledge assistant

Scattered docs become conversational retrieval your team actually uses.

  • Cleaned sources
  • Strict grounding
  • Tone matched to brand
03

Repeated work → extraction pipelines

Documents and decisions flow through validation, review and logging.

  • Extraction + classification
  • Human review points
  • Full audit logs
04

Responsible by design

AI systems need boundaries — built in from the first pilot, not bolted on.

  • Validation and fallbacks
  • Permissions and cost controls
  • Data protection
What you get

Deliverables

  • AI assistants: Support and sales bots grounded in your content, with human handoff.
  • RAG and knowledge search: Conversational retrieval over your documents and data.
  • Document intelligence: Extraction, classification and summarisation pipelines.
  • Classification: Incoming items sorted without manual triage.
  • Summarisation: Threads, reports and calls distilled to decisions.
  • Intelligent routing: Work reaches the right person or workflow automatically.
  • Recommendation systems: Relevant suggestions from your catalogue or content.
  • LLM integration: Models wired into your stack with guardrails and logging.
  • AI workflow automation: End-to-end flows where intelligence does real steps.
AI enhancement

This is the page where AI leads.

Here AI is the offering — and the same rule applies: every capability below states what gets better for you.

  • Assistants that resolve grounded answers that end conversations, not deflect them
  • Knowledge that answers internal information retrievable in plain language
  • Documents that process themselves extraction and classification without manual reading
  • Decisions with context relevant information surfaced at decision time

Discuss your project.

A short call beats a long proposal — tell us where you’re stuck.

Discuss your project →
· Outcomes

What changes.

Enquiries answered instantly, hot leads escalated with context
Knowledge retrievable in plain language by anyone
Document work measured in minutes, with audit trails
· Process

How this service runs.

01

Discover

The job first: which questions, documents or decisions hurt most.

02

Structure

Knowledge sources cleaned; success and handoff criteria defined.

03

Design

Assistant behaviour, guardrails and review points on paper.

04

Build

Pilot on limited traffic with logs reviewed together.

05

Launch

Hardened, documented and handed over with an update routine.

Under the hood

Built on tools you own

Modern LLM platforms + retrieval over your content; WhatsApp/web widgets; sheets/CRM webhooks. Validation, permissions, logging, fallbacks and cost controls standard. No sensitive data in prompts without consent.

Start with the job, not the model. AI earns its place by improving discovery, experience, productivity or decisions — with boundaries from day one.

Related services

· FAQ

AI Solutions: FAQ.

Will the AI give wrong answers?

We reduce this with grounded knowledge + confidence fallbacks to humans, and review pilot logs with you.

Start with the model or the job?

Always the job. We map the painful questions and workflows first, then choose the smallest system that solves them.

What does it cost?

Scoped by knowledge size + integrations + message volume. Pilot first, then fixed proposal.

Who owns the setup?

You do — accounts, knowledge base and logs in your control.

Tell us what you’re building.

WhatsApp or email us — mention your business name and goal.