AI strategy & readiness
Workshops and process reviews that identify where AI saves time or money, ranked by value and effort — no hype.
AI consulting & delivery
AI that does real work in your business — measured, governed, and in production.
Most AI projects stall between the demo and the day-to-day. We start with your processes and data, pick the use-cases that will actually pay back, then build and integrate them properly — with the guard-rails, monitoring and training your team needs to trust them.
A prioritised AI roadmap tied to measurable value
Assistants and agents grounded in your own documents and data
Document and email processing without manual capture
Clear policies on data privacy (POPIA), security and oversight
What we deliver
Capabilities
Knowledge assistants
Internal assistants that answer from your policies, manuals and records, with citations and access control.
Document intelligence
Invoices, delivery notes, applications and contracts read, classified and captured straight into your systems.
AI agents & workflow
Agents that triage email, draft responses, update records and escalate exceptions to a person when needed.
AI inside your software
We add AI features to existing platforms — search, summarisation, forecasting and anomaly detection.
Training & governance
Team training, usage policies and evaluation so AI is adopted safely and measured honestly.
Solutions
Specific problems we solve
AI Document Processing
AI that reads invoices, delivery notes, statements, applications and contracts, extracts the data, validates it and captures it into your systems — routing only exceptions to people.
Read more →AI Assistants & Agents
Internal AI assistants that answer from your own policies, manuals and records with citations, and AI agents that triage email and update systems — with access control and human oversight.
Read more →Example engagement
Logistics operator — document intake
Before
Hundreds of emailed delivery notes and invoices captured by hand each week, with errors discovered only at month-end.
What we built
An AI pipeline reads each document, extracts and validates the fields against orders, and only routes exceptions to a person.
Result
Most documents processed without human touch; exceptions surfaced the same day.
Representative example; client details withheld.
Tools of the trade
Technology we work with
We choose technology to fit your environment and your team — not to fit our preferences. Everything we deliver is documented and built on open, supportable standards.
ClaudeOpenAIAzure AIRAG & vector searchPythonEvaluation harnessesPOPIA-aware design
Related work
Where this has made a difference
FAQ
Frequently asked questions
Where should a business start with AI?
Start with one repetitive, high-volume process that already has clear inputs and a measurable cost — document capture, email triage or answering internal questions are common first wins. Our free AI Process Blueprint and guide to choosing a first AI use case walk through this.
Is our data safe when we use AI?
It can be, with the right design. We use business-grade AI services that do not train on your data, keep personal information to the minimum needed, apply access control, and document how the system meets POPIA obligations.
Will AI replace our staff?
In our work AI mostly removes low-value capture and searching so people spend time on exceptions, customers and decisions. We design systems where a person reviews anything uncertain.
How do you know an AI system is working correctly?
We measure it. Every system we deliver has an evaluation set of real examples, accuracy targets agreed up front, and monitoring in production so errors are visible rather than silent.
Next step
Tell us what’s slowing you down.
Describe the process, the system or the site. We’ll come back with a clear, practical view of what can be automated — and what it would take.