Is my private data safe with AI automation?

Yes. We build retrieval over your data within your own environment and access controls, and we use enterprise LLM APIs from Anthropic and OpenAI that do not train on your inputs. We add guardrails, audit logging and, on sensitive actions, human approval, so you keep full oversight of what the system does.

How accurate are the AI agents you build?

Accuracy depends on grounding and testing, which is why we build evaluation suites before launch and monitor quality in production. Retrieval over your private data keeps answers factual, and human-in-the-loop review catches edge cases on high-stakes actions. Clients typically see reliable performance that improves as we refine on real usage.

How long before AI automation shows results?

A focused first automation usually goes live in four to eight weeks, and time savings show almost immediately on the target workflow. We deliver in phases, proving value on one process before expanding, so you see measurable results, often around 40% ops time saved, before committing to a wider rollout.

Which AI models do you use?

We build primarily on Claude from Anthropic and OpenAI's models, selecting per task to balance capability, latency and cost. We are model-agnostic in architecture, so we can route simple steps to cheaper models and complex reasoning to stronger ones, and swap models as better options arrive without rebuilding your system.

Agents, copilots & workflow automation

AI Automation

AI agents, copilots and workflow automation that remove operational drag and unlock new capacity for your team.

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What is AI Automation?

AI automation uses large language model agents and copilots to run business workflows that once needed manual effort. ADM Technology builds agents on Claude and OpenAI with retrieval over your private data, workflow orchestration, evals and human-in-the-loop guardrails, cutting operational time by around 40%, enabling 24/7 coverage and processing work up to 3x faster.

Overview

Agents, copilots & workflow automation

We build AI automation on top of Claude and OpenAI — from document processing and forecasting to full agentic workflows — with guardrails, evals and human-in-the-loop controls.

40%

Ops time saved

24/7

Autonomous coverage

Faster processing

The work

Exactly what we do, step by step

Every AI Automation engagement follows a clear, phased path — so you know precisely what work happens, in what order, and what comes out of each stage.

Workflow Audit

We map the manual processes you want to automate, quantify time and cost per task, and prioritise the workflows where AI delivers the clearest, fastest return on investment.

Data & RAG Setup

We connect your documents, databases and tools, then build a retrieval layer so the agent answers and acts using your private, up-to-date data rather than guesswork.

Agent Development

We build LLM agents and copilots on Claude or OpenAI with defined tools, actions and orchestration across steps, wiring in the systems each workflow needs to touch.

Evals & Guardrails

We create evaluation suites and guardrails to measure accuracy, block unsafe outputs and add human-in-the-loop approval on high-stakes actions before anything runs live.

Cost & Latency Tuning

We optimise prompts, model selection and caching to reduce token cost and response time, balancing speed and spend so automation stays economical at production scale.

Deploy & Monitor

We ship to production with logging, dashboards and alerting, then track quality and cost over time and refine the agents as your processes and data evolve.

Capabilities

What's included in every engagement

The building blocks we bring to your product — proven, production-grade and tailored to your goals.

LLM agents & copilots

RAG over private data

Workflow orchestration

Evals & guardrails

Human-in-the-loop review

Cost & latency optimisation

Deliverables

Exactly what you walk away with

Tangible, hand-off ready assets — no black boxes, full ownership.

01Automation blueprint

02Agent implementation

03Eval harness

04Ops dashboard

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FAQ

AI Automation — common questions

Straight answers to what teams ask us most before starting. Need specifics? Talk to a senior engineer.

We automate repetitive, language-heavy work: data entry and extraction, document processing, customer and internal support, report generation, lead qualification and multi-step workflows across your tools. Anything that follows rules or reasons over your documents is a candidate. We start with the highest-volume tasks where time savings are easiest to measure.

Let's build something exceptional together.

Tell us where you're headed. We'll show you how to get there faster — with production-grade software and a senior team.