AI System Inventory and Scope Assessment
Identifying which of your AI systems may fall within scope, including capability inside purchased products, as input to the classification analysis your counsel performs.
EU AI Act consultants help healthcare organizations understand how the regulation may apply to their AI systems and prepare the technical evidence its obligations reference. They assess system classification questions, identify documentation and monitoring gaps, and build the artifacts that support conformity work led by your regulatory advisors.
Taction Software is a software engineering firm. We are not a law firm, notified body, or authorized representative, and we do not provide legal advice or make regulatory determinations. Classification and conformity conclusions require EU-qualified legal and regulatory counsel. What we contribute is technical assessment and the engineering artifacts obligations depend on. Our hire dedicated developers hub covers implementation roles.

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The regulation places obligations on providers and deployers of AI systems, with heavier requirements where systems fall into higher risk categories. Much of what it references is technical: risk management, data governance, logging, transparency, human oversight, and accuracy documentation. The work below reflects what engineering can supply toward that. Legal conclusions remain with your counsel throughout.
Identifying which of your AI systems may fall within scope, including capability inside purchased products, as input to the classification analysis your counsel performs.
Producing the system descriptions, development records, and performance documentation that obligations reference, in a form your regulatory advisors can use.
Documenting training and validation data provenance, characteristics, and known limitations, which is where organizations most frequently find records were never kept.
Building the record-keeping that automatic logging obligations reference, retained appropriately and structured for the retrospective examination they anticipate.
Documenting where human review sits, what information reviewers receive, and how they can intervene, since oversight must be effective rather than nominal.
Producing performance documentation including subgroup results and post-deployment monitoring arrangements the regulation’s ongoing obligations reference.
Healthcare AI sits in a complicated position under this regulation because medical device rules and AI rules interact, and systems already under device regulation face layered obligations. That interaction is a legal analysis rather than an engineering one. What engineering determines is whether the evidence those obligations reference exists. The context below spans the healthcare work you assign.
Obligations attach to systems placed on or used in the EU market. Whether your deployment falls within scope is a legal question your counsel answers, not an engineering assumption.
Systems already regulated as medical devices face layered requirements. Understanding that interaction requires EU regulatory expertise rather than software engineering judgment.
Documentation requirements assume records were kept during development. Organizations that did not keep them face reconstruction that reviewers reasonably distrust.
Nominal review satisfies nothing. Documentation must describe what reviewers see, what they can do, and whether the workflow makes meaningful intervention possible.
Implementation timelines, guidance, and harmonized standards have developed over time. Current status must be confirmed with counsel rather than assumed from any summary.
Building technical evidence supports conformity work. It does not establish conformity, which involves assessment processes we neither perform nor certify.
This work requires enough regulatory literacy to know which evidence obligations reference, combined with the engineering capability to produce it. A consultant offering legal conclusions is exceeding what a software firm should provide. The competencies below reflect that. Weight technical documentation capability and honest scoping above regulatory opinion.
Producing system descriptions, architecture records, and development documentation in forms regulatory advisors can assess and submit.
Documenting training and validation data sources, characteristics, and limitations, including honest acknowledgment where records were not kept.
Building automatic record-keeping with appropriate retention and structure. Our healthcare integration work covers connectivity where logging touches clinical systems.
Evaluating whether review is meaningful in practice, including whether reviewers have time and information to intervene rather than approving reflexively.
Producing accuracy and robustness evidence including performance across populations, which is a technical exercise requiring evaluation infrastructure.
Working alongside your legal and regulatory advisors, supplying technical input to their analysis rather than substituting engineering judgment for it.
The distinguishing question is where they stopped. Consultants offering classification conclusions exceeded appropriate scope for a software firm. Our assessment centers on technical documentation capability and clear boundaries about what they do not determine. Our delivery process includes review points where you can reassess fit.
We ask which questions they referred to legal advisors. Consultants offering classification opinions exceeded what a software engineering firm should provide.
We ask what records did not exist. Consultants reporting complete documentation either found unusually mature practice or did not examine closely.
We ask how they documented training data. Organizations frequently lack these records, and honest acknowledgment serves better than reconstructed approximation.
We ask how they evaluated review effectiveness. Documenting that a reviewer exists differs from establishing that review is meaningful at realistic volume.
We ask what record-keeping they built. Consultants who only advised did not confront the retention and structure decisions logging obligations imply.
We describe which programs each consultant supported and what was produced. We do not claim legal, notified body, or regulatory credentials for consultants.
Engagements should be scoped alongside your regulatory counsel, since the legal analysis determines what technical work is required. Structures below reflect that. We also assess whether scope questions are settled, because building evidence for obligations that may not apply wastes effort your counsel could prevent.
Examining what documentation, logging, and performance evidence exists against what obligations reference, delivered as input to your counsel’s analysis.
Producing technical documentation, data governance records, and performance evidence in forms your regulatory advisors can assess and use.
Building the record-keeping and post-deployment monitoring obligations reference, which is engineering work regardless of how classification resolves.
Where you have regulatory expertise, staff augmentation adds technical capacity working under your direction and interpretation.
A dedicated healthcare development team builds capabilities with documentation and logging produced during development rather than reconstructed afterward.
Where requirements are defined by your counsel, a fixed-scope engagement under our engagement models delivers the technical evidence package.
Share your counsel’s scope and classification analysis, your EU market position, and your AI systems. Legal analysis determines what technical work is actually required.
This section states our limits plainly. We do not provide legal advice, make classification determinations, act as an authorized representative, or perform conformity assessment. We are not a notified body and cannot certify anything. Where intended use may create diagnostic or treatment claims, SaMD classification is assessed during discovery with your regulatory advisors. We build to HIPAA-aligned practices where HIPAA applies.
Whether a system falls within scope and which risk category applies are legal determinations. We supply technical input to that analysis rather than reaching conclusions.
Conformity assessment involves processes we neither perform nor participate in. Our work produces technical evidence supporting whatever route your advisors determine.
Implementation timelines and guidance continue to develop. Current obligations should be confirmed with counsel rather than taken from any summary including ours.
Where development records were not kept, we say so rather than reconstructing approximations that a reviewer would reasonably question.
Systems touching behavioral health carry additional considerations. We built CHIPSS, a behavioral health system, where such handling was foundational.
We would not offer legal conclusions, present technical preparation as conformity, reconstruct development records as though contemporaneous, or describe any assessment as certification.
Cost concentrates in documentation production and logging implementation rather than advisory time. Where development records were not kept, reconstruction is expensive and produces weaker evidence than contemporaneous documentation would have. We publish no figures on conformity outcomes, because those depend on assessment processes we do not participate in.
$40,000 to $80,000
Technical documentation, logging implementation, and performance evidence for one AI system, produced as input to your counsel’s conformity work.
$80,000 to $200,000
Documentation and logging across an AI portfolio with data governance records, human oversight documentation, monitoring implementation, and evidence packages.
Starting at $200,000
Multi-system preparation with governance integration, documentation standards, and logging infrastructure across several clinical environments and deployments.
Discovery is paid and time-boxed. It produces a technical gap assessment against obligations your counsel has identified, prioritized findings, and an itemized fixed-scope estimate.
System count and complexity, existing documentation state, data provenance record availability, logging implementation scope, monitoring requirements, and coordination with regulatory advisors.
Post-deployment obligations continue. Budget for monitoring operation, documentation maintenance as systems change, and updates as guidance and standards develop.
Third-party licensing, cloud infrastructure, data subscriptions, and hardware are separate from engineering cost and itemised clearly.
Conformity assessment, legal advisory, and notified body engagement are entirely separate from our scope and cost.
Two questions matter. Whether the vendor stays within appropriate scope, and whether they report documentation gaps honestly. Taction Software has built healthcare software since 2013, more than twelve years, with over 200 healthcare projects delivered and ISO 27001 certification. Leadership brings more than twenty years of personal experience in the field, which is separate from company age. Our wider case for Taction sits elsewhere.
We built Revive Ease and PainKare, both FDA-registered applications. Our healthcare case studies reflect producing documentation under regulatory attention.
We built Voyant Health, an EHR platform, and CHIPSS, a behavioral health system, which informs how documentation and oversight should reflect clinical reality.
Taction Software holds ISO 27001 certification covering our information security management practices. It certifies our internal processes and has no bearing on AI regulation conformity.
Where we build the system, records are produced as work proceeds rather than reconstructed, which is the difference between defensible evidence and an assembled package.
We do not offer legal conclusions or classification determinations. That limits what we sell and keeps you from relying on engineering judgment for legal questions.
Where development documentation was never kept, we say so rather than reconstructing plausible approximations that a reviewer would reasonably question.
We work from your counsel’s scope analysis, assess what documentation and logging exist, then present consultants with regulated healthcare software experience for your approval.
One system runs $40,000 to $80,000, portfolio preparation $80,000 to $200,000, and multi-system programs start at $200,000. Legal advisory and conformity assessment are entirely separate.
Our delivery history includes the Voyant Health EHR platform, the CHIPSS behavioral health system, and the FDA-registered applications Revive Ease and PainKare, within more than 200 healthcare projects delivered since 2013.
No. Classification is a legal determination requiring EU-qualified counsel. We supply technical input to that analysis and do not reach conclusions about scope or category.
No. We are not a notified body and do not perform conformity assessment. We produce technical evidence supporting whatever route your regulatory advisors determine.
Governance work builds your internal decision and oversight process. This page addresses technical preparation referencing one specific regulation, alongside counsel who determines what applies.
Share your counsel’s scope and classification analysis, your EU market position, your AI systems and their documentation state, and the engagement model you have in mind. We will produce technical evidence within our scope and report missing records honestly. We do not provide legal advice, certification, or conformity assessment.
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