Enterprise software architecture for the AI era.
Aitina Tech architects, builds and integrates the systems businesses actually run on: across AWS, Azure and Google Cloud. Our R&D wing applies the research of The Software Lens on what agentic AI genuinely changes about all of it.
An hour with the Expert
Not a sales call. You get the person who has already built, or audited, the thing you are about to commit to.
- A practising architect, and a domain specialist where it helps
- A candid read on approach, risk and realistic effort
- A short written summary afterwards: yours to keep, whoever you hire
Usually scheduled within two business days.
Aitina Tech runs a research and development wing. It applies the research of The Software Lens, Imtiaz Hassan’s series on what agentic AI actually changes about architecture, integration and delivery, and it publishes how, free: one page per pattern, how we build it, what an engagement looks like.
Trusted by teams we work with.
Aitina Tech has been instrumental in addressing complex engineering challenges while also shaping our broader technical strategy. Their strength in software architecture, cloud computing, CRM platforms, and agentic AI sets them apart. With highly capable development teams and strong senior leadership, they operate as a true extension of our organisation.
James CoanCEO, Marcus Food CoWe’ve worked together for over a decade, and the consistency, reliability, and technical quality have always been exceptional. The ability to understand our needs and deliver dependable solutions year after year is what truly sets this work apart. We consider Aitina Tech a trusted business partner of Internet Securities.
Michael BeardsleyCEO, Internet SecuritiesThe depth of technical understanding, attention to detail, and long-term commitment to quality have made this partnership invaluable. We trust Aitina Tech to deliver solutions that simply work.
Amna KhanFounder, AK Studios ArchitectsAitina helped us build and operate an offshore development team properly, with the right skills, processes, and quality controls in place. Their approach turned outsourcing into a reliable, high-quality extension of our business.
Derek TraynorDirector, Amos IT
A selection of the teams we work with.
Find out where you actually stand, and only pay if the report tells you something.
Four to six weeks. An independent evaluation of your process, your technology, your AI readiness, your security posture and the distance between the strategy at the top and the work being done. Delivered as a written report with the evidence and the reasoning attached.
- Process, documentation and productivity gaps
- AI readiness, and how AI tools are really being used
- How competitive your tech stack actually is
- Security posture and how far you are from ISO certification
- CEO vision drift, strategy at the top versus work on the ground
- Silos, flywheel, Big Rocks, OKRs, PMO and micro-management
- Architecture advice, with the reasoning shown
- We audit our own delivery work on the same terms
Everything a software partner should cover: in one place.
Four practices under one accountable architecture lead, so nothing falls between a strategy deck and a delivery team. Open any practice to see the detail.
◉AI & AutomationAgentic systems, applied AI and the automation of real business process.7 services▼
- AI Engineeringagentic systems, rag, evaluation and guardrails
- Harness Engineeringthe scaffolding around the model: contracts, memory, evidence
- Intelligent Automationprocess automation that survives contact with production
- Data & Knowledge Platformsthe retrieval and knowledge layer agents run on
- AI Readiness Assessmentwhere ai pays back, and where it does not
- LLM Platform on AWS Bedrockmodel access, routing, cost and evaluation
- MLOps & Model Governanceversioning, evaluation sets, drift and audit
☁Cloud & PlatformArchitecture and delivery across AWS, Azure and Google Cloud.8 services▼
- Cloud Architecturelanding zones, networking, cost and resilience
- AWS Engineeringserverless, containers, data and bedrock
- Microsoft Azureentra id, aks, data factory, azure openai
- Google Cloud Platformgke, bigquery, vertex ai
- Software Architecturedomain boundaries, patterns, adrs
- API & Systems Integrationrest, events, model context protocol and partner integration
- Service-Oriented Architecturelegacy estates and contract-first design
- Cloud Migration & Modernisationmove, modernise, decommission
✎Design & BuildDelivery teams that ship, backed by an Irish architecture lead.6 services▼
- Application Developmentweb, mobile and internal platforms
- Web Developmentmarketing sites and customer portals
- Software Customisationextending what you already own
- Software Integrationmaking bought and built systems agree
- Dedicated Delivery Podsa standing team with one accountable architect
- Stability & Optimisationperformance, cost and reliability work
⚖Advisory & AssuranceIndependent architecture, process and investment review.7 services▼
- IT Consultingstrategy, roadmap and vendor selection
- Business Process Auditmap it, measure it, then automate it
- Advisory & Evaluation Programmea 4-6 week independent evaluation, with a report
- Standards & ISO Readinessiso 27001, iso 9001 and soc 2 preparation
- Product & Investment Evaluationtechnical due diligence for founders and investors
- Digital Transformationoperating model, not just technology
- Architecture Reviewan independent read on your current design
We do not “add AI”. We engineer systems that reason.
Most AI projects die between the demo and production, because a prompt is not an architecture. Our AI practice treats an agent like any other production system: it has a contract, a knowledge layer, an evaluation set, guardrails, a cost model and an audit trail. That discipline is the whole difference between a pilot and a platform.
Agentic systems
Agents that plan, call tools and hand off to each other, with the boundaries drawn so you can reason about failure. Built on our own AIM architecture work.
How we build themKnowledge & retrieval
The three-tier Knowledge Store (structured records, vector retrieval and a relationship graph) that decides whether your answers are grounded or plausible.
Read the patternEvaluation & guardrails
Evaluation sets, regression suites, refusal policy, PII handling and human-in-the-loop gates, so you can prove behaviour to a risk committee, not just to a demo audience.
Governance approachPlatform on AWS Bedrock
Model access, routing, prompt and version control, cost attribution and observability, running inside your own account and your own data boundary.
Platform buildIrish architecture leadership. A global engineering bench.
Your architect is here: same timezone, same working week, in the room when it matters. The build capacity behind them is a vetted international network, which is how we hold rates well below the Dublin consultancy norm without moving accountability offshore. One named architect owns your outcome from first call to handover.
Fixed-price delivery
Scope hardened in a paid discovery, then a fixed price against it. Best where the outcome is clear and the budget has to be defended internally.
Time & materials
For discovery, modernisation and anything where the shape of the work changes as you learn. Weekly burn-down, monthly review, stop whenever you like.
Dedicated delivery pod
A standing team (architect, engineers, QA) embedded with yours. Predictable monthly cost, and the team keeps the context instead of relearning it every quarter.
Research, applied, not a news feed.
Our R&D wing applies the research of The Software Lens, Imtiaz Hassan’s series on the agentic era. Each page below is one pattern: how we build it, and what an engagement looks like.
The next shift: from SaaS to SaaC.
For twenty years software was sold by the seat. The moment the caller stops being a person at a browser and becomes an agent acting on their behalf, every one of those assumptions stops paying: the per-seat price, the UI-first product, the integrate-once contract. The Software Lens research works out what replaces them; our R&D wing applies it.
The answer is Software as a Capability: capabilities you hire, measure and release, settled by a signed receipt rather than a licence. Ten rows, one direction of travel, and the vendors who cross it early are the ones still standing in 2030.
SaaS vs SaaC, ten rows: what is actually sold, how it is metered, and who is at the keyboard.
A working library, not a blog.
12 pieces of original research and practice, filed by topic so you can actually find the one you need. Everything here comes out of work we have done.
Foundations2
How software changes when it starts to reason.
- AI Agent Memory on AWS: How We Apply the Knowledge Store Pattern
- OKL in Practice: Turning What Your Company Learns into Something Your Agents Use
SaaC2
Software as a Capability, the model that replaces SaaS.
- Building a Capability: Manifest, Surface, Kernel and Guardrails in Practice
- From SaaS to SaaC: How We Help Software Companies Sell Capabilities to AI Agents
Integration2
EAI, SOA, APIs, and what agents do to the patterns.
- Integration for AI Agents, Part 2: The Architecture We Build To
- Integration for AI Agents, Part 1: Which of Your Patterns Still Pay Off
One free hour. No pitch, no obligation.
Bring the problem you are stuck on: an integration that keeps breaking, a cloud bill nobody can explain, an AI project that is all demo and no product, or a platform you are about to invest in. You will leave with a straight answer and a written summary, whether or not you ever work with us.
- Architecture and integration review
- AI feasibility: what will actually work, and what will not
- AWS, Azure and Google Cloud cost and design
- Business process audit and ISO readiness
- Technical due diligence before you invest or acquire