05 / Generative AI

Generative AI solutions
for modern enterprises.

AI assistants, enterprise chatbots, document intelligence, and internal copilots — grounded in your own data, governed by enterprise controls, and built on OpenAI, Azure OpenAI, Claude, Gemini, or Llama.

2–4w
to first working assistant
5
model families supported
100%
compliance audit pass rate

What is enterprise Generative AI?

Large language models, applied safely to the work your organisation does every day.

/ Generative AI — defined

Enterprise generative AI applies large language models to your organisation’s own content — documents, knowledge bases, conversations, and data — to answer questions, draft work, and automate workflows that previously needed a person. Microlytics Ltd builds on OpenAI, Azure OpenAI, Claude, Gemini, and Llama, grounding every solution in your verified content and wrapping it in the access controls, logging, and evaluation regulated organisations require.

Three core capabilities.

Applied generative AI that answers, understands, and automates — safely.

AI Assistants & Enterprise Chatbots
Customer-facing and internal assistants grounded in your own content — answering accurately, citing sources, and handing off to humans cleanly.
Document Intelligence & Knowledge Management
Extract, summarise, and search unstructured documents — contracts, records, policies — with AI search that makes your knowledge base actually findable.
Internal Copilots & Workflow Automation
Copilots embedded in the tools your teams already use — drafting, triaging, and automating repetitive workflows with a human in the loop.

Generative AI, end to end.

The full capability set behind every generative AI engagement — from first prototype to governed production.

AI assistant development, grounded in your content
Enterprise chatbots for customers & employees
Document intelligence — extraction & summarisation
Knowledge management & AI search across internal content
Content generation for reports, summaries & communications
Internal copilots embedded in existing tools
Workflow automation with human-in-the-loop review
LLM development on OpenAI, Azure OpenAI, Claude, Gemini & Llama

From pilot to production, safely.

A four-stage delivery model built for the specific risks and rewards of generative AI.

01

Assess

Identify the highest-ROI use case, evaluate your content readiness, and select the right model.

02

Prototype

Build a working assistant on a scoped content set — in weeks, with your team testing early.

03

Ground & Secure

Connect verified content via retrieval, add guardrails, access controls, and audit logging.

04

Deploy & Evaluate

Ship to production with accuracy evaluation, usage monitoring, and continuous improvement.

Common questions answered.

Everything you need to know about adopting generative AI in the enterprise.

Ready to put generative AI to work?

Book a call with our generative AI consulting team. We'll identify the right first use case, assess your content readiness, and outline a safe path to production.