Artificial Intelligence
Conversational agents, LLM automation and AI governance
Implementations of ChatGPT Enterprise, Microsoft Copilot, Gemini and custom agents. AI security under OWASP LLM Top 10 and governance under NIST AI RMF + ISO/IEC 42001.
WhatsApp + LLM conversational agents
Design and deployment over WhatsApp Business Platform. RAG with your documents, CRM integration, human handover when needed.
Process automation with LLMs
Use case workshop, ROI analysis, implementation with orchestrators (n8n, Zapier, custom). Document processing, classification, generation.
AI governance (NIST AI RMF, ISO/IEC 42001)
Acceptable use policy, risk-per-use-case assessment, access controls, monitoring, periodic review. Compliance with international frameworks.
Team training
Workshops on responsible AI usage: prompt engineering, identifying prompt injection, when not to use AI, sensitive data handling.
Frequently asked questions
Can you integrate ChatGPT, Claude or Gemini with WhatsApp Business?
Yes. We build conversational agents on WhatsApp Business Platform using LLMs (GPT-4, Claude, Gemini) and orchestrators like n8n. Typical use cases: 24/7 customer support, lead capture, automated FAQ, reminders.
What is prompt injection and how do I protect my company?
Prompt injection is a technique where an attacker (or malicious user) injects instructions into the model input to alter its behaviour (e.g. force it to reveal data, execute unauthorised actions, or leak the system prompt). We apply OWASP LLM Top 10 as defence framework: input validation, sanitisation, context segmentation, suspicious prompt logging, and acceptable use policies.
How do you define an AI use case before implementing?
Three questions: (1) what repetitive or low-value task consumes team time?, (2) is there enough quality data to feed the model?, (3) does an error have critical or tolerable cost? Step one is always a workshop to identify use cases with value, feasibility and risk criteria.
Do you build conversational agents for customer support?
Yes. Conversation flow design, CRM/Helpdesk integration, knowledge base via RAG (Retrieval Augmented Generation) over your own documents, escalation to human when needed, and metrics dashboard (no-touch resolution, satisfaction, response time).
Can generative AI use my company's private data without leaking it to third parties?
Yes, with the right architecture. Options are: (a) cloud models with no-training clauses (OpenAI Enterprise, Anthropic, Gemini for Workspace have these terms), (b) open source models running on your infrastructure (Llama, Mistral) when sensitivity demands it. We evaluate cost, latency and compliance to choose.
What AI governance frameworks do you apply?
NIST AI Risk Management Framework, ISO/IEC 42001:2023 (AI management system), OWASP LLM Top 10. We work on AI acceptable use policy, risk assessment by use case, access controls, monitoring and periodic review.
Free AI diagnosis
30 minutes without commitment. We identify the highest-value use cases for your team before any proposal.