We build compliance, risk management, and explainability into every AI deployment, not as an afterthought but as a foundation.
Our private AI deployments keep your sensitive data within your own infrastructure, with no third-party cloud exposure, ever.
Every engagement is scoped with clear KPIs. We measure time saved, error rates reduced, and cost per process, then we deliver on them.
Aigentcy automated our sales pipeline for us. Every enquiry now lands in our CRM already qualified, scored, and assigned to the right person, with a first follow-up drafted, so we've stopped letting good leads go cold while we're heads-down on delivery.
Comprehensive governance frameworks, risk management programmes, and audit-ready compliance infrastructure for regulated AI deployments.
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Fine-tune and deploy open-source large language models entirely within your infrastructure, so your data never leaves your environment.
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Map, optimise, and automate manual business processes using AI agents, RPA, and intelligent document processing, reducing cost and error rates.
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We work closely with our clients to understand their unique AI challenges and deliver measurable, sustainable results.
Aigentcy is an agentic AI agency specialising in three enterprise pillars: AI governance frameworks, private open-source model deployment, and intelligent process automation. We help organisations adopt AI responsibly, securely, and at scale.
We assess your use case and data environment, then select, fine-tune, and deploy an open-source LLM (such as Llama, Mistral, or Phi) entirely within your on-premise or private cloud infrastructure. Your data never touches a third-party server.
Our governance frameworks address the EU AI Act, ISO/IEC 42001, NIST AI RMF, SOC 2, GDPR, HIPAA, and Australian Privacy Act requirements. We map your specific obligations and build audit-ready controls around them.
Discovery and process mapping typically takes 2–4 weeks. A focused automation sprint (one to three processes) runs 6–12 weeks. Enterprise-wide transformation programmes are phased over 3–12 months with measurable milestones at each stage.
Yes. We integrate with SAP, Salesforce, ServiceNow, Microsoft 365, major ERP and CRM platforms, and most document management systems. Our automation solutions use standard API and RPA approaches to avoid vendor lock-in.
Book a complimentary discovery call through our contact page. We'll spend 30 minutes understanding your priorities and return a scoped proposal within five business days.
The expert's work is finished before the machine writes. The checks and the critic run before any person reads, and the person's decision comes last and is recorded.
A cheap draft can be expensive to approve. Put the expertise in before the machine writes, let deterministic checks and a critic reject what fails, and measure cost per approved article.
The count shrinks at each step, so each step needs its own number and its own owner. The figures are the article's worked example, not a result.
Fix the crawl and index faults first, write pages that people and AI assistants can read, cover the searches your main site was never built for, and judge the work by qualified enquiries.
Recorded spend has a receipt, reserved allowance is a ceiling held while work runs, and an unconfirmed charge keeps its ceiling until a receipt or a review settles it. The total is never the sum of all three.
How to report AI spend the way finance reports everything else: by team, by workflow and by accepted result, with unknown charges kept separate from zero.
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