AI integrations
Embed intelligent AI models into your business processes — customer service, data analysis, content generation.
AI is only useful when it does real work inside your business. Not a chatbot on the side. Not a prompt someone has to remember to copy. Real, embedded intelligence.
We build AI into the systems you already use — triaging inbound email, answering customers from your own knowledge base, summarising meetings into your CRM, categorising data as it arrives. The models are chosen for the task; the guardrails and human-in-the-loop controls are there by default.
We treat AI as infrastructure: testable, monitored, and upgradeable as the model landscape evolves.
If any of this sounds familiar, we can help.
- Customer service teams drowning in repetitive questions
- A knowledge base that nobody reads and no one can search
- Hours spent reading and summarising long documents or calls
- Content production that cannot keep pace with demand
- Data that arrives unstructured and needs manual categorising
Real deliverables, not strategy decks.
- Engineered prompts, tuned and version-controlled
- RAG pipelines grounded in your actual data
- Human-in-the-loop controls for high-risk outputs
- Monitoring, cost tracking, and model performance dashboards
- Model-swap capability as the market evolves (GPT ↔ Claude ↔ open source)
We pick the right tool for the job.
Three ways to work with us on ai integrations.
AI Embed
Single AI model embedded into one business process.
- 1 AI integration (GPT / Claude)
- Prompt engineering
- System testing
- 30-day monitoring
AI Suite
Full AI integration across customer service, content, and data.
- Up to 4 AI integrations
- RAG knowledge base setup
- Custom agent logic
- Human-in-the-loop controls
- 90-day support
AI Retainer
Ongoing AI model maintenance, tuning & new builds.
- 10hrs/month build time
- Model monitoring
- Monthly performance report
- Priority support
Discovery to live system in days, not months.
- Discovery call — we map what you have and what is eating time.
- System design — we show you the architecture before we build.
- Build & connect — most first automations go live within 48 hours of sign-off.
- Monitor & scale — we fix edge cases and keep building as you grow.
Ready to embed AI into your business?
Book a free 30-min strategy call — no pitch, just a clear plan.
See it in practice.
22-page SEO site with AI citation optimisation
No online presence to first-page rankings and 24/7 automated lead capture.
Frequently asked questions
How much does AI integration cost?
A single-model embed (e.g., customer service bot, document analyser) starts from R12,000 once-off. Full AI suites spanning multiple processes start from R35,000. Ongoing AI retainers — for model tuning, monitoring, and new builds — are available from R9,500/month.
Which AI models do you use?
We are model-agnostic. We use Claude (Anthropic), GPT-4 (OpenAI), Gemini (Google), and open-source models like Llama depending on the use case, cost sensitivity, and data privacy requirements. We can swap models without rebuilding your integration.
Will the AI have access to my confidential data?
Only if you want it to. RAG (Retrieval-Augmented Generation) pipelines can be built on your own infrastructure so data never leaves your environment. We always document exactly what the model can access and produce a data flow diagram for your records.
How do I know the AI is giving correct answers?
We build human-in-the-loop controls and automated evaluation pipelines for every integration. You define the risk threshold; we build the guardrails. High-risk outputs always require human sign-off before action is taken.
Is this POPIA-compliant?
Yes. We design AI systems to comply with POPIA by default — including data minimisation, purpose limitation, and explicit consent flows where required. We provide documentation for your compliance records.
How long does it take to integrate AI into my business?
A single AI embed typically goes live within 5–10 business days. Full AI suites (four or more integrations with RAG and custom agent logic) take 3–6 weeks. We begin with a discovery session to scope the build before committing a timeline.
Ready to talk about ai integrations?
Send us a brief. We read every word and reply with concrete next steps within one business day.