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StrataHub

Capability

Automate the work nobody should be doing by hand

LLM integrations, custom AI agents, workflow automation, and intelligent tools tailored to your operational processes

LLM integrations, custom AI agents, workflow automation, and intelligent tools built around your operational processes — not around a vendor's product roadmap.

We start with the tasks that eat the most hours and carry the least judgement, then automate them properly: grounded in your data, guardrailed, and measured against the manual baseline.

LLM Integration & RAG

Retrieval grounded on your own documents, with chunking, embedding, and evaluation tuned until the answers hold up against a human-reviewed test set.

Custom AI Agents

Task-scoped agents that own a workflow end to end — triage, extract, enrich, follow up — with deterministic fallbacks around the model core.

Workflow Automation

Intelligent document processing, classification, and routing wired into the systems your team already works in, so adoption doesn't need a change programme.

Our approach

From audit to ROI in 3 phases

Phase 1

Discover & Audit

We analyse your operational workflows to find where AI and automation deliver genuine return on investment — and say plainly where they don't.

Phase 2

Build & Integrate

Working automations built into your existing environment within 90 days, grounded on your data with evaluation harnesses from day one.

Phase 3

Ship & Measure

Deployed with clear KPIs: operational hours saved, errors caught, and cost per transaction reduced — reported against the pre-AI baseline.

Deliverables

LLM integration & RAG pipelinesCustom AI agentsDocument processing & extractionWorkflow automationEvaluation harnesses

ROI snapshot

Hours back in the working week — measured against the manual baseline we set in Phase 1

40-70%

Manual work removed

0.2s

Typical grounded document search

4-8 weeks

First automation in production

Get an AI & Automation plan

More capabilities

All capabilities

Managed Coding

Custom software, web and mobile applications, API integrations, and ongoing development delivered as a managed service

Data Engineering

Enterprise data pipelines, data warehousing, BI dashboards, and scalable analytics platforms built for growth

Agentic AI & AI Studio

Production-grade autonomous agentic systems built with strict guardrails, automated evals, and human-in-the-loop oversight

Context from AI History

The ideas behind AI & Automation

2014

Attention

Attention was invented to help machines translate French novels, not to power chatbots.

Read the story2013

Word2Vec

It proved that king − man + woman ≈ queen, turning the geometry of a vector space into a map of meaning.

Read the story2022

ChatGPT

OpenAI called it a low-key research preview; it reached 100 million users in two months.

Read the story