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Services

Six services, clear decisions.

Compare who each service is for, what you receive and how the work is scoped. Each engagement has agreed outputs, review points and fees.

Compare the services ↓
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AI-generated portraits and illustrative scenes. Adriana’s likeness is based on her original photograph; other people and settings are fictional.
Strategy Processes Platforms Controls & Risk People & Change

People and change connect all five perspectives. Leadership, participation, communication and learning are part of the work from the start.

Service index

Compare the services

Choose a service to see its best fit, outputs and scope.

01 · Direction and organisational readiness

AI Strategy, Readiness & Roadmap

Best fit
You see potential in AI but need leadership agreement on where to start and what the organisation can support.
You leave with
A prioritised 90-day AI roadmap with named owners, resource needs and a business case.

What you receive

  • Organisational capability and readiness profile with leadership alignment
  • Prioritised opportunities with business-value and feasibility assumptions
  • 90-day roadmap with people, responsibilities, resources and review points
  • Business case with data, supplier and implementation dependencies
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Scope and further detail: AI Strategy, Readiness & Roadmap

Leave with a 90-day roadmap that shows where AI is worth your attention and what your organisation can support. Assess readiness for a proposed AI use, align leaders, prioritise opportunities and plan people, responsibilities, resources and business value. Compare data readiness, suppliers and investment options, including technical dependencies for any planned AI agent.

Focused sprint; schedule and fee are set after the intake confirms scope and participants.

The proposal reflects the number of teams, opportunities, interviews and review rounds. Share those inputs in your brief so the schedule and fee can be scoped.

02 · Operating model and accountable decisions

AI Governance & Use-Case Portfolio

Best fit
AI use is spreading across teams, but ownership, approval rights and review routines are unclear.
You leave with
An AI operating model and use-case portfolio with owners, approval rules and recurring reviews.

What you receive

  • AI operating model with decision rights across business, HR, IT and risk
  • Shared use-case portfolio with accountable owners and dependencies
  • Review routines for value, work impacts and pilot, change, scale or retire decisions
  • Decision and control records with permissions, oversight and exception paths
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Scope and further detail: AI Governance & Use-Case Portfolio

Design an AI operating model connecting business, HR, IT and risk. Clarify decision rights, accountable ownership and portfolio management from proposal to everyday operation. Define agent action boundaries, permissions, approvals and evidence, with recurring reviews of value, work impacts and safeguards.

Custom engagement; schedule and fee depend on existing policies, jurisdictions, and review stakeholders.

Scope is driven by the number of policies, use cases, jurisdictions, stakeholders and review rounds. Fees are proposed after intake; there is no assumed fixed package price.

03 · Work design with employee participation

Workflow Design & Pilot Evaluation

Best fit
You have one workflow to improve and need evidence of quality, workload and role impacts before wider use.
You leave with
A pilot evaluation and operational handoff covering quality, total effort, human review and transition requirements.

What you receive

  • Participatory workflow design with work and role impacts
  • Human review responsibilities, capacity and workload requirements
  • Pilot evaluation of quality, total effort, workload and practical use
  • Operational handoff with data, integration, control and transition requirements
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Scope and further detail: Workflow Design & Pilot Evaluation

Design a workflow pilot with employee participation, explicit work and role impacts, and enough human review capacity. Evaluate quality, total effort and workload against a baseline before transition into everyday operation. Specify data readiness and integration needs; test agent permissions, approval boundaries, pause, revocation and recovery.

Single-workflow pilot; schedule and fee are proposed after the workflow and access needs are understood.

The quote reflects workflow complexity, sample preparation, sessions, technical dependencies and review rounds. Implementation beyond the advisory pilot is separately scoped with the responsible delivery team.

04 · People, learning and sustained change

AI Capability, Change & Adoption

Best fit
You have chosen an AI use, but leaders, managers and employees need the skills and support to make it work.
You leave with
A role-specific learning and change plan with communication, employee feedback and a 90-day review roadmap.

What you receive

  • Stakeholder and change-impact map
  • Leadership, manager and role-specific learning plan
  • Change and communication plan with employee participation and feedback
  • Adoption measures and a 90-day review roadmap
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Scope and further detail: AI Capability, Change & Adoption

Help leaders, managers and employees use AI confidently in their everyday work. Assess stakeholders and change impacts, build leadership and role-specific learning, support managers and plan communication. Involve employees, practise safe AI use, including when to question or stop an AI agent, and review adoption against agreed measures.

Scoped change and learning engagement; sessions, schedule and fee reflect the people, work impacts and follow-up involved.

Fees reflect teams, roles, languages, tailored exercises, stakeholder sessions, communication materials and follow-up. The proposal specifies delivery and review responsibilities.

Inspect the working paper
Illustrative working paperWP / 04

Change and adoption record

Fictional customer-support pilot: make changes to work, learning and management decisions visible.

Context
A support team proposes AI-assisted drafting from approved guidance. Sending replies and changing customer records remain outside the agent’s authority.
Work and role impacts
Staff review source accuracy and exceptions. The team identifies extra review effort and uncertainty about responsibilities; the manual process remains available.
Participants
The support lead, employees doing the work, a manager, HR and IT/security review impacts together. A staff representative joins where relevant.
Management decisions
The sponsor approves a bounded internal test, allocates learning and review time, and names a workflow owner. Wider operation and any employment decisions require separate leadership and specialist approval.
Communication and participation
Before the test, the manager explains purpose, limits, responsibilities and unresolved questions. Weekly discussions and a feedback channel let employees raise concerns; the owner records responses and changes.
Learning and support
Leaders review decision rights; managers practise coaching and workload reviews. Staff practise prompts, source checks and approving, challenging, stopping or escalating agent actions. Reviewers ask for the source, authority boundary and stop route; gaps trigger another exercise.
Evaluation and review
In this fictional rehearsal, a reviewer identifies an unsupported claim and stops the draft. Compare quality, total effort, workload, feedback and demonstrated skills with the baseline. Review after the first test and at 30, 60 and 90 days; the owner decides what to adapt, continue or stop. No savings are assumed.
Completed fictional example, created to show the method. It contains no client data or measured client outcome.

05 · AI management-system readiness

ISO/IEC 42001 Readiness Diagnostic

Best fit
For organisations considering independent ISO/IEC 42001 certification or needing a management-system structure for AI governance.
You leave with
A prioritised improvement plan linking governance evidence, gaps and audit-preparation dependencies.

What you receive

  • Management-system scope, ownership and shared AI use-case register
  • Requirements-and-controls gap assessment with supplier evidence
  • Prioritised improvement actions and audit-preparation dependencies
  • Review of risk, impact, lifecycle, incident and evidence processes
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Scope and further detail: ISO/IEC 42001 Readiness Diagnostic

Know where your AI management system stands before independent certification work, with prioritised improvements. Review readiness using the shared AI use-case register, accountable ownership, supplier reviews and improvement actions. The evidence review also covers relevant AI agent permissions and records.

Focused diagnostic; schedule and fee are set after confirming the organisational and certification scope, sites, AI portfolio, existing management systems, and access to evidence.

The proposal considers sites, AI portfolio, existing management systems, evidence depth and review rounds.

AIMS implementation support

Translate the roadmap into policies, roles, controls, records, training, management-review routines, and corrective actions. The certification decision remains with an independent certification body.

06 · AI and privacy incident preparedness

AI & Privacy Incident Readiness

Best fit
For organisations using AI in sensitive or high-trust work that need a practical incident playbook before a live event.
You leave with
A rehearsed incident playbook with owners, escalation paths and evidence-handling steps.

What you receive

  • Incident ownership, severity and supplier escalation playbook
  • Evidence preservation and notification-routing criteria for specialist validation
  • Tabletop rehearsal of delegated-access revocation, action-log preservation, recovery and reauthorisation
  • Draft reporting-clock, suspension, rollback and safe-restart criteria for validation by counsel, any appointed DPO and responsible technical responders
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Scope and further detail: AI & Privacy Incident Readiness

Be ready for an AI or privacy incident with clear owners, escalation paths and a rehearsed playbook. Prepare incident ownership, supplier escalation, evidence preservation and a practical rehearsal, including how to revoke an AI agent’s access and keep its records. Feed validated lessons into portfolio decisions, improvement actions and role-specific training.

Preparedness sprint or scoped post-incident review; no emergency service. Live matters require an agreed scope, secure information transfer, and coordination with your legal, privacy, and technical responders.

Fees depend on the scenario, teams, jurisdictions, playbook maturity and evidence-review needs. Live matters need a separately agreed scope.

Post-incident review & corrective action

After the responsible technical or security team has stabilised the event, Ada Studio documents a client-validated timeline and facilitates a systems-focused root-cause analysis based on facts validated by that team. Ada Studio then records agreed corrective and preventive actions, effectiveness checks, and governance updates.

Work products you can inspect.

Illustrative examples

Opportunity map

Customer-support drafting
Propose a drafting pilot with a named authorising owner. Test blocked sends and record changes; any later expansion requires separate approval and technical validation.
Order intake
Map exceptions and validate data quality and integration before requesting a pilot.
Inventory forecasting
Assess historical data and compare with a simple forecasting baseline before any investment decision.
Fictional scenarios to explain the method. Positions are assumptions, not measured results or approval to use AI.
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Illustrative examples

Use-case record

UC / 01 · Customer-support drafting

Accountable owner
Customer-support lead
Decision
Pilot proposal, pending approval
Data and dependencies
Approved guidance, de-identified questions and read/draft permissions in an authorised workspace. Sending replies and modifying customer records are outside the agent’s authority.
Evidence required
Source-linked drafts, corrections, approval records, denied-action tests and evidence of pause, revoked access and recovery.
Fictional scenarios to explain the method. Positions are assumptions, not measured results or approval to use AI.
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Illustrative examples

Supplier decision sheet

UC / 01 · Customer-support drafting

Business fit
Compare the existing helpdesk’s drafting feature, a separate approved tool and a manual guide against the same support task.
Total cost
Include setup, integration, licences, training, review time and maintenance. No savings are assumed.
Support and exit
Demonstrate permission limits, usable action-log export, delegated-access revocation and recovery. Agree support, deletion, migration and manual fallback before approval.
Fictional scenarios to explain the method. Positions are assumptions, not measured results or approval to use AI.
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Illustrative examples

Pilot scorecard

UC / 01 · Customer-support drafting

Baseline
Record manual drafting plus review time, corrections and usefulness on the agreed test set.
Acceptance criteria
Trace material claims to approved guidance. Test allowed reading/drafting, denied sends/record changes, approval boundaries, pause, revoked access and recovery. Agree quality and total-effort thresholds.
Decision
Pilot proposal, pending approval
Fictional scenarios to explain the method. Positions are assumptions, not measured results or approval to use AI.
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Five connected perspectives

Advice that connects to implementation.

Ada Studio frames decisions, assesses organisational readiness, designs work and governance, and supports learning, change and communication. Client leadership retains employment decisions; HR, IT, engineering, security and legal specialists implement, validate and approve matters in their remit. We agree these handoffs before work begins.

A scope you can assess before you commit.

Each proposal sets out the work, your team’s contribution, review points, schedule and fee. Share your goal, current situation and constraints to make that proposal useful.

  1. Focus the brief

    We agree the decision you need to make, who is involved, and the tools, data and constraints in scope.

  2. Map risk and workflow

    With the people doing the work, we look at how work, tools and data fit together today, including risks and capability gaps.

  3. Design the decision path

    We agree priorities, owners, safeguards and training needs, and prepare materials your team can use.

  4. Implement and refine

    We put the materials to work through workshops or a pilot, review what changes in practice and plan what your team needs next.

Specialist support

Specialist readiness programmes

Focused support for organisations preparing an AI management system or strengthening how they prepare for and learn from AI- and privacy-related incidents.

Interactive assessment

AI Readiness Check

Answer seven questions to understand how prepared your organisation is to adopt AI responsibly. Takes about three minutes.

Start the AI Readiness Check

Frequently asked questions

Do we need AI governance if we only use basic tools like Microsoft Copilot or ChatGPT?

Yes. Even widely available tools can create data, confidentiality, quality, and accountability questions. The practical issue is not only the tool’s sophistication, but what data is entered, who reviews the output, and whether the organisation can explain its decision path.

How long does an AI governance framework take to implement?

Timing depends on the organisation, current controls, mandate scope, and regulatory context. After an initial review, the proposed sequence, responsibilities, deliverables, and timing are set out in writing.

Is this only relevant for legal organisations?

No. Adriana’s legal-technology and governance expertise informs a broader business practice. The work fits teams that need to connect business priorities, workflows, tool choices and responsibility. Sector-specific requirements are reviewed with the client’s own specialists.

Can you help with a specific AI tool evaluation, or only organisation-wide strategy?

Yes. Tool and data decisions can be part of opportunity or workflow work: fit, approved sources, access, supplier terms, integration boundaries and ownership. Ada Studio provides advisory support; your IT, engineering, security and legal specialists implement and validate the relevant decisions.

Do you work with healthcare, finance, or other regulated sectors?

Selected projects may be supported where the mandate is AI governance, workflow design, training, documentation, or implementation support. Ada Studio does not replace formal legal, medical, clinical, tax, or regulated professional advice.

Can you support change management and communication as well as training?

Yes. AI Capability, Change & Adoption combines stakeholder and role-impact assessment, leadership and role-specific learning, manager support, employee participation, communication and feedback. We agree adoption measures and a 90-day review roadmap. Client leadership and relevant specialists retain employment decisions, technical implementation and approvals.

Does Ada Studio provide ISO/IEC 42001 certification?

No. Ada Studio assesses readiness and supports audit preparation and the implementation of an AI management system (AIMS). It does not issue certificates, certify AI products, or guarantee an audit result. The certification decision is made by an independent certification body, which should be accredited for the relevant scope.

Is this a 24/7 incident-response or digital-forensics service?

No. Ada Studio helps organisations prepare, coordinate governance decisions, and facilitate a scoped post-incident review and systems-focused root-cause analysis using facts validated by the responsible technical or security team. Immediate containment, forensic investigation, and safe restoration remain with your internal security team or an appointed specialist.

How should we share sensitive incident information?

Start with a high-level enquiry and do not send evidence or confidential details by email. If the matter is a fit, scope, confidentiality, data-protection roles, access, retention, and a secure transfer channel are agreed before materials are shared.

How do you assess organisational AI readiness?

We assess a proposed use in its organisational context across eight dimensions, from direction and responsibilities to participation, tools and results. The profile records evidence, gaps and priorities without a combined maturity score.

Bring the question you are working through.

Delivered by Adriana, who in March 2026 completed the AI4Gov Specializing Master in Artificial Intelligence for Public Services at Universidad Politécnica de Madrid and Politecnico di Milano, which jointly award its University Specializing Master Diploma. Her background combines application support, project coordination and team training. Meet Adriana

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