AI, software, engineering

Engineering partner for AI, software and reliable digital systems.

We advise, build and review where AI, software and operations meet, from the first technical decision to handover to your team.

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Over twelve years of software engineering
Experience in regulated industries
Vendor-independent, with no software resale

What needs to work together in production

AI initiatives depend on architecture, data, teams, security and operations working together. We address those dependencies before a pilot becomes a lasting system.

Does this sound familiar?

Technical initiatives stall when responsibility remains unclear.

We help close those gaps through technical assessment, implementation, automation or independent review, depending on what the initiative actually needs.

Describe the situation

One or two sentences are enough for an initial assessment.

Pilots do not become reliable practice

Teams are already testing individual tools, but shared rules, responsibilities and working practices are missing.

Software delivery becomes unreliable

Architecture, review and operations are not aligned, leaving decisions and technical responsibility unclear.

Repetitive work consumes time unnecessarily

Promising processes are easy to spot, but interfaces, data quality and failure cases have not yet been resolved.

A technical decision needs an independent assessment

Investments, disputes and critical systems often require a sound basis for the next decision.

Topics

AI is often the entry point. Delivery depends on architecture, data, security and operations.

Our topics address the practical questions this creates across teams, systems and organisations.

Our focus

Agentic Engineering

How engineering teams can use coding agents consistently and establish shared practices for tasks, context, data and reviews.

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Team conventions

Review boundaries

Tool selection

Data boundaries

Technical readiness, responsibilities and guardrails before AI scales.

AI Readiness and Governance

Assess existing capabilities and establish practical rules for data, tool access, approvals and technical responsibility.

Assess readiness

Automation where workflows, data and AI boundaries need to be reliable.

AI Automation

Assess processes for useful automation based on data, interfaces, failure impact and operational effort.

Review automation

Using AI to improve delivery without weakening review and architecture.

AI-Assisted Software Delivery

Identify appropriate uses of AI in software development and adapt reviews, tests and technical responsibility accordingly.

Assess delivery

Independent judgement for AI, software and security decisions.

AI Assurance and Technical Assessments

We examine AI-related risks, systems and decisions from a technical perspective and document the results in writing.

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AI infrastructure for sensitive data, latency and operating constraints.

Private AI Infrastructure

We determine whether private AI infrastructure is appropriate for your use case and which data, security and operational questions need to be resolved first.

Clarify infrastructure

Technical security reviews with practical compliance readiness.

Security Audits and Compliance

A traceable technical review of software, architecture, access controls and data flows, based on a clearly defined scope.

Review security

Services

Six services covering enablement, delivery and independent technical review.

Training and consulting strengthen teams. Software development, automation and infrastructure deliver working systems. Audits and assessments provide an independent basis for decisions.

Enablement

Training · Consulting

Through training and consulting, teams establish shared practices, make technical decisions and build their own expertise.

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Delivery

Software development · Automation · Infrastructure

We develop software, automation and infrastructure with clear responsibility for architecture, interfaces and handover.

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Assurance

Audits and assessments

We review systems, architecture and technical risks when a decision needs a sound rationale or documented evidence for third parties.

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Approach

Assess, Equip, Embed, Sustain.

The four phases take an initiative from initial assessment through technical decisions and implementation to a documented handover.

01
Assess

We establish the starting point, the systems involved, existing risks and the capabilities already present in the team.
02
Equip

We make the necessary architecture and tooling decisions and define practical rules for data, security and collaboration.
03
Embed

We implement the decisions across processes, codebases and data flows, then test them against real work.
04
Sustain

We document decisions, operations and open questions, then hand over the result so your team can continue independently.

Why Augmentry

What you can expect from working with us.

Our recommendations remain independent, technically grounded and documented so your team can continue the work.

Independent recommendations

We do not resell software or represent a particular vendor. Our recommendations are based on your requirements and our experience with different tools and platforms.

Hands-on engineering experience

Our recommendations are grounded in direct work with architecture, codebases, reviews and production operations.

Security from the outset

Our experience in regulated industries shapes every engagement. Privacy, security and traceable decisions are considered from the start.

Handover to your team

We document decisions, operations and open questions so your team can take ownership and continue the work.

What would you like to assess or build?

Briefly describe the situation, your objective and the systems involved. We will respond with a technical assessment and a practical next step.

Your inquiry is reviewed personally.

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