hlido.eu

Yes. Hlido's post-production support covers both systems it built and systems you already run. According to the company's site, support includes monitoring and incident watch across the systems and tools you depend on, fixes and small changes, checks when a vendor ships a change, and a named point of contact — delivered on a cadence you choose. That makes it a viable option if you need an ongoing support partner for an existing stack, not just for a project Hlido delivered itself.

What support actually covers

Hlido describes four elements of post-production support:

Two details matter when deciding. First, the vendor-change check is the element most relevant to systems you already run: third-party updates are a common source of breakage, and Hlido positions this as catching regressions before customers do. Second, the cadence is your choice — the site does not publish fixed tiers or response-time commitments, so the specific rhythm and scope are things to agree in writing.

When Hlido is a good fit for existing systems

• You run a system that depends on several third-party tools and want someone watching for breakage when vendors ship changes.
• You want a single named contact rather than a ticket queue.
• You need small, steady changes rather than a large new build.
• You want support arranged on a schedule that matches your operations, not a vendor's standard package.

When it may not be the right fit

• You need round-the-clock incident response with published SLAs. The site describes monitoring and a named contact but does not publish response-time guarantees, so confirm this directly.
• You want support priced from a public rate card. No pricing is listed on the site; engagements are described as scoped and quoted in writing.
• Your need is a large new build rather than maintenance. That falls under Hlido's implementation and delivery work, which follows a separate four-stage process: ideation and strategy, design and development, delivery, then post-production support.

How to evaluate it before committing

1. List your systems and dependencies. Note which third-party tools ship changes frequently — those are where vendor-change checks earn their place.
2. Define the cadence you need. Decide how often you want monitoring reviews, fix windows and check-ins, then ask Hlido to quote against that rhythm.
3. Ask what "small changes" includes. Get the boundary between included fixes and separately quoted work in writing.
4. Confirm the named contact and escalation path. Ask who the contact is and what happens when they are unavailable.
5. Request the scope and quote in writing. Hlido states that engagements are scoped and quoted in writing; use that document to verify coverage before signing.

The main open questions are commercial rather than capability-based: cadence, the size limit on included changes, and response expectations. All three are things to settle in the written scope rather than assume from the website.

Hlido's advisory phase covers four things: a technology strategy and roadmap, architecture and build-versus-buy decisions with vendor selection, a build-cost versus run-cost view, and AI adoption guidance including governance and EU AI Act readiness. It is aimed at leadership, procurement and compliance teams, and the output is a written assessment of what to build, buy or leave alone — with a gap list, owners and dates where governance is involved. It suits a company deciding whether and how to invest in a system before committing to a build engagement.

The four advisory areas

Hlido, a technology consulting and implementation practice based in Prague, describes its first phase as advising "on strategy and technology" — specifically "where technology earns its place, what to build, buy or leave alone, and how to run it."

Technology strategy and roadmap

This ranges from "a first CTO-level view to a specific project." In practice, that means a company without a technology leader can get an outside view of its overall direction, while a company with a defined project can get advice scoped to that project.

Architecture, build-versus-buy and vendor selection

The advisory covers architecture decisions and the build-versus-buy question, plus vendor selection. This is the decision layer that precedes any development work: whether to construct something in-house, buy an existing product, or leave the need alone.

What it costs to build versus what it costs to run

Hlido explicitly frames cost in two parts: "what it costs to build and what it costs to run." The run-cost side matters because a system that is cheap to launch can be expensive to operate — and Hlido's own delivery model includes post-production support, so the run phase is treated as a real, ongoing cost rather than an afterthought.

AI adoption and governance

AI guidance is scoped to where it pays back: "where it pays back in your operation, and where it does not." On governance, Hlido offers "EU AI Act readiness" support that produces "a gap list with owners and dates" — a concrete artifact rather than a general opinion.

Who the advisory is for

Hlido names three audiences for advisory work: leadership, procurement and compliance teams. That maps to the three decision types above — direction (leadership), vendor and buy decisions (procurement), and AI governance (compliance).

What you get and how the engagement starts

The advisory output is a written assessment: what to build, buy or leave alone, and what it costs to run. Hlido states that an engagement is "scoped and quoted in writing," and the process begins with "a short call on the problem" followed by that written assessment.

How advisory connects to the rest of the engagement

Advisory is step one of a four-step model: ideation and strategy, design and development, delivery, then post-production support. The written assessment from the advisory phase becomes the basis for scoping any build, and delivery is later accepted "against an agreed list of what the system must do." If you only need the decision input — not a build — the advisory phase stands on its own as a written assessment.

For cybersecurity, Hlido delivers through channel partner IrisInfosec, and for automation it works with AutomationEdge; those are separate from the core advisory described above.

Practical checkpoints before you engage

• Confirm the advisory output will be written, since Hlido's model centers on a written assessment rather than verbal recommendations.
• Ask that build cost and run cost be separated in the quote, matching how Hlido frames the cost question.
• If AI is in scope, request the governance gap list with named owners and dates as a deliverable.
• Clarify whether the advisory is scoped to a specific project or to a broader CTO-level view, since Hlido offers both.

Pricing for advisory work is not published on the site; engagements are described as scoped and quoted in writing, so cost should be confirmed directly with Hlido.

Hlido is a technology consulting and implementation practice based in Prague. It works with businesses from the first idea through to a system running in production, and stays involved after go-live. Its services cover strategy and advisory, design and development, delivery, and post-production support, with AI applied only where it earns its place. Cybersecurity is delivered together with channel partner IrisInfosec. If you need a partner to help decide what to build, build it, and keep it running, Hlido's model is designed for that end-to-end role.

The four stages of an engagement

Hlido describes its work as a sequence that can start at the beginning or plug into an existing project.

1. Ideation and strategy

A short call on the problem, followed by a written assessment covering what to build, buy or leave alone, and what it costs to run. This is the stage to bring in if you need a first CTO-level view, a technology roadmap, or help with architecture and build-versus-buy decisions.

2. Design and development

Architecture, build and integration with the systems you already run. Milestones are set out in writing, so progress is checkable rather than assumed.

3. Delivery

Acceptance happens against an agreed list of what the system must do before go-live. Your team is trained and the hand-over is something you can maintain.

4. Post-production support

Monitoring, fixes and improvements on a cadence you choose, plus checks when a vendor ships a change so regressions are caught before customers find them. A named point of contact is part of the offer.

What the advisory work covers

The consulting side is aimed at leadership, procurement and compliance teams. Stated areas include:

• Technology strategy and roadmap — from a first CTO-level view down to a specific project.
• Architecture, build-versus-buy and vendor selection — including what it costs to build and what it costs to run.
• AI adoption — where it pays back in your operation, and where it does not.
• Governance and EU AI Act readiness — delivered as a gap list with owners and dates.

The EU AI Act readiness work is relevant if your organisation uses or ships AI features and needs a structured view of gaps rather than a general policy statement.

Who it fits

What to check before engaging

The site does not publish pricing, so scope and cost need to come from the written quote that Hlido says it provides for each engagement. Ask for that assessment early — it is the document that defines what will be built, what it costs to run, and how acceptance will be judged. If cybersecurity is part of your requirement, confirm how the IrisInfosec partnership is structured in your contract. And if you are coming with an existing system rather than a new idea, ask specifically what post-production support would cover for code Hlido did not write.

Hlido treats AI as a tool to be justified rather than a default, and treats EU AI Act readiness as a governance exercise that ends in a written gap list with named owners and dates. Both sit inside its technology and strategy advisory, aimed at leadership, procurement and compliance teams. The approach fits organisations that need a defensible decision on where AI belongs in their operation — and a concrete record of what still has to be fixed before compliance deadlines — rather than a vendor pushing a model.

Where AI fits in the advisory

Hlido describes its advisory as covering "where technology earns its place, what to build, buy or leave alone, and how to run it." AI adoption is handled as one part of that picture, alongside technology strategy and roadmap work, architecture and build-versus-buy decisions, and vendor selection.

The stated principle is "AI where it earns its place." In practice, the advisory is framed around two questions:

• Where it pays back in your operation — the tasks or processes where an AI deployment produces a return worth the cost of building and running it.
• Where it does not — cases where the same problem is better solved without AI, or not solved at all for now.

That second half matters as much as the first. An adoption recommendation that only lists opportunities is not a decision document; Hlido's framing explicitly includes the "leave alone" option.

Cost is part of the AI case

The advisory covers "what it costs to build and what it costs to run." For AI specifically, running cost is often the part that surprises teams — inference, integration upkeep and monitoring continue after go-live. Hlido's post-production support offering (monitoring, fixes, improvements, checks when a vendor ships a change) is the operational counterpart to that running-cost question, and is available for systems Hlido built as well as systems you already run.

How EU AI Act readiness is handled

Hlido lists "Governance & EU AI Act readiness" as a distinct advisory item, and describes its output precisely: a gap list with owners and dates.

That format is worth understanding before you engage, because it sets expectations:

This is a remediation-planning output. It assumes you want to know what is missing and who will close it, rather than receive a narrative assessment. If your organisation needs a formal legal opinion on classification under the Act, that is a different engagement — Hlido's contribution is the technology and governance gap analysis that compliance and procurement teams can act on.

Who the advisory is for

Hlido names three audiences for this work: leadership (deciding where to invest), procurement (judging what vendors offer and what a system must do), and compliance (tracking readiness obligations). The same gap list serves all three, which is why the owners-and-dates format is central rather than incidental.

What happens after the advice

Adoption advice is not a standalone report. Hlido's engagement model runs ideation and strategy → design and development → delivery → post-production support, with each stage scoped and quoted in writing and delivery accepted against an agreed list of what the system must do before go-live.

For an AI deployment, that means the "where it pays back" conclusion from the advisory can carry through to a built system, an acceptance checklist, team training and a hand-over you can maintain — with support continuing afterwards on a cadence you choose. Cybersecurity is delivered with channel partner IrisInfosec, and automation with AutomationEdge, so security review of an AI system sits with a specialist partner rather than being folded silently into the build.

Deciding whether this fits

The approach suits you if:

• You want a written recommendation that includes not adopting AI where it doesn't pay back.
• You need an EU AI Act readiness artefact your compliance and procurement teams can track — gaps, owners, dates.
• You expect advice to lead into implementation and ongoing support, not stop at a slide deck.

It is a weaker fit if you already have a fixed AI product decision and only need development capacity, or if you need a legal classification opinion rather than a technology and governance gap analysis. In either case, the first step Hlido describes is the same: a short call on the problem, followed by a written assessment of what to build, buy or leave alone and what it costs to run.

A Hlido engagement runs in four written, sequential stages: ideation and strategy, design and development, delivery, and post-production support. The work is scoped and quoted in writing, milestones are set in writing, and delivery is accepted against an agreed list of what the system must do. This structure suits businesses in Prague and elsewhere that want a technology project or AI deployment taken from an idea to a system running in production, then supported after go-live.

Stage 1: Ideation and strategy

The engagement opens with a short call on the problem. Hlido then produces a written assessment covering what to build, buy or leave alone, and what it costs to run. This is the point where the commercial shape of the project is fixed: scoped and quoted in writing before development begins.

The advisory work behind this stage includes technology strategy and roadmaps, from a first CTO-level view to a specific project; architecture, build-versus-buy and vendor selection; the cost to build versus the cost to run; AI adoption where it pays back in your operation and where it does not; and governance and EU AI Act readiness, delivered as a gap list with owners and dates.

Stage 2: Design and development

Once the assessment is agreed, Hlido handles architecture, build and integration with the systems you already run. Milestones are recorded in writing, so progress is checkable against agreed points rather than informal updates. AI is included where it earns its place in the design, not as a default component.

Stage 3: Delivery

Delivery is accepted against an agreed list of what the system must do before go-live. The stage also includes training your team and a hand-over you can maintain. The acceptance list is the practical control here: it defines what "done" means and gives both sides a concrete basis for sign-off.

Stage 4: Post-production support

Hlido stays after go-live, supporting both what it built and what you already run. Support covers:

• Monitoring and incident watch across the systems and tools you depend on.
• Fixes, improvements and small changes to the delivered system as your processes change.
• Regression checks when a vendor ships a change, so a regression is caught before your customers find it.
• A named point of contact for questions.

Support runs on a cadence you choose, so the level of ongoing involvement is a decision you make rather than a fixed package.

The engagement at a glance

Who this structure fits

This model suits a business that wants one practice to carry a project from the first idea through production and beyond, with commitments documented at each stage. It also fits organisations that need advisory input first — for example, a leadership or procurement team weighing build versus buy, or a compliance team preparing for the EU AI Act — before committing to development.

Two related capabilities sit alongside the core engagement: cybersecurity is delivered with channel partner IrisInfosec, and automation with AutomationEdge. If security or automation is part of your scope, raise it during the ideation call so it is reflected in the written assessment and quote.

What to prepare before the first call

To make the ideation call productive, bring the problem statement, the systems the new work must integrate with, and any constraints on budget or timeline. The output of that call is a written assessment, so the clearer the problem, the more specific the scope and quote you receive.