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AI strategy & adoption
AI strategy and adoption consultancy
Get a clear direction for AI. Konsolute helps you find the right opportunities, assess your readiness and build a practical roadmap, connecting business priorities with the people, information, technology and governance needed to turn ideas into working solutions.
BUSINESS OUTCOMES
Focus your investment and build a path to value
An effective AI strategy helps your organisation decide where to start, what to prepare and how to judge progress. We bring structure to those decisions so investment follows business need.
Focus investment
Prioritise opportunities against value, feasibility, effort and risk so resources go towards the work that matters.
Reduce uncertainty
Understand your readiness, dependencies and delivery options before committing to a wider programme.
Test value early
Select focused pilots with clear ownership and success measures to evaluate usefulness before expanding.
Create a path to scale
Plan the information, skills, governance and support needed to move beyond isolated experiments.
OUR STRATEGY & ADOPTION SERVICES
From ambition to a practical plan
We work with business and technology teams to define priorities, address readiness gaps and prepare an approach your organisation can deliver and sustain.
AI strategy & roadmapping
Define your AI goals, investment priorities and phased roadmap in the context of your wider business and technology plans.
Opportunity discovery
Explore processes, services and information needs to identify where AI could make a useful difference.
Readiness assessment
Assess information, technology, security, skills and governance to identify the foundations needed for adoption.
Use case prioritisation
Evaluate opportunities against business value, feasibility, complexity and risk to build a reasoned delivery backlog.
Responsible AI & governance
Establish principles, responsibilities and review requirements for the AI uses your organisation intends to introduce.
Operating model & adoption
Define delivery ownership, user enablement, operational support and feedback so adoption continues beyond the pilot.
START WITH THE BUSINESS PROBLEM
Choose the approach that fits the work
Technology choices follow your objectives, information and operating requirements. We assess where existing Microsoft capabilities, agents, automation, Azure AI or data-platform work can support the outcome you need.
Employee productivity
Assess opportunities to help employees work with information in their everyday Microsoft environment.
Role-based adoption
Plan practical enablement around roles, work patterns and the feedback needed to improve adoption.
AI agents
Identify tasks where an agent could use approved knowledge or tools to support a defined process.
Intelligent automation
Assess repeatable steps, approvals and handovers that could benefit from workflow automation.
Custom AI solutions
Evaluate where tailored AI experiences or integrations are needed beyond a standard configuration.
Data and insight foundations
Identify the data quality, access and analytical foundations required for your priority use cases.
Responsible AI governance
Define the responsibilities and controls needed for the proposed uses of AI.
A sustainable delivery model
Plan how initiatives move from discovery to evaluation, release and ongoing support.
RESPONSIBLE ADOPTION
Build confidence through clear responsibilities
AI adoption involves business decisions as well as technical choices. We help you establish proportionate controls and ownership around the use cases you intend to deliver.
Clear accountability
Define who sponsors initiatives, approves scope and remains accountable for business outcomes.
Risk and information review
Identify the review requirements for information access, security and the way outputs will be used.
Human oversight
Agree where a person must review outputs, approve actions or handle requests outside the intended scope.
Evaluation and improvement
Define how pilots and live solutions are evaluated, reviewed and updated as requirements change.
OUR APPROACH
A practical journey from opportunity to adoption
Build a roadmap around evidence, readiness and the needs of the people who will use and support your AI solutions.
1. Align
Agree business objectives, stakeholders and the decisions the strategy needs to support.
2. Discover
Explore processes and information needs to identify candidate opportunities.
3. Assess
Review readiness, dependencies, risks and delivery options.
4. Prioritise
Compare opportunities and select a focused starting point.
5. Plan
Define the roadmap, pilot scope, ownership and success measures.
6. Enable & review
Prepare teams, review pilot results and refine the next phase.
Focus.Prepare.Adopt.
OPPORTUNITIES TO EXPLORE
Where could AI make a useful difference?
We help you assess opportunities across your organisation, with attention to the task, the information available and the human judgement it requires.
See it in practice: Konsolute led the discovery and controlled rollout of Microsoft 365 Copilot for a central government organisation, preparing data, permissions and governance so staff could adopt AI safely.
PRACTICAL DELIVERABLES
A strategy your teams can act on
Agree the outputs of the engagement up front so the work supports real decisions and provides a clear handover into delivery.
Prioritised opportunities
An agreed set of candidate initiatives with purpose, ownership and prioritisation criteria linked to business goals.
Readiness findings
A view of information, technology, security and skills gaps, with the actions and dependencies needed to address them.
Roadmap and pilot plan
A phased delivery plan with a defined pilot, decision points, resource considerations and measures of progress.
Governance and adoption arrangements
An approach to governance, enablement, support and ongoing review so responsibilities are clear beyond initial delivery.
FAQ
AI strategy and adoption FAQs
Priorities, readiness, governance and adoption, explained.
An AI strategy defines how your organisation intends to use AI to support its objectives. It connects priority use cases with information, technology, governance, skills and a practical delivery roadmap.
A consultant helps clarify goals, discover opportunities, assess readiness and compare delivery options. The work should result in decisions, priorities and actions that your organisation can use.
We work with business and technology stakeholders to understand priorities, assess the current environment and identify suitable use cases. We then help define a roadmap, governance arrangements and an adoption approach.
Look at the task, its business impact, the information available and the judgement involved. We compare candidate use cases against value, feasibility, effort, risk and the ability to evaluate results.
Readiness includes information quality and access, technology, security, governance, skills and ownership. An assessment identifies gaps in the context of specific use cases rather than treating readiness as a single score.
The choice depends on the task, user experience, integration requirements and controls. We consider existing Microsoft capabilities alongside agents, automation and tailored Azure AI options before recommending an approach.
Requirements vary by use case. Some opportunities may need focused information preparation, while others depend on substantial data-platform work. We identify the foundations needed for the opportunities you prioritise.
Yes. The strategy can include readiness, use-case selection, phased introduction, training and evaluation for Microsoft Copilot alongside other AI initiatives.
Yes. We help define ownership, acceptable use, review requirements, human oversight and ongoing evaluation around the AI uses your organisation plans to introduce.
We consider role-specific needs, communications, practical training, champions and feedback. Adoption planning should help people understand where AI is useful, what needs checking and where support is available.
Yes. We assess what is needed beyond a demonstration, including integration, evaluation, controls, operational ownership and user support. These requirements inform the roadmap and release decisions.
Agree measures against the original business need. Depending on the use case, these may include task quality, time spent, process outcomes, user feedback and adoption, compared with a baseline.
We can shape strategy work around the organisation’s information, security, governance and operational requirements. The engagement should identify any assurance and approval dependencies before delivery proceeds.
Timescales depend on the scope, stakeholders, current documentation and depth of assessment. We agree activities, outputs and dependencies at the start.
Outputs are agreed in the scope and may include prioritised opportunities, readiness findings, a roadmap, a pilot plan and governance or adoption recommendations. Cost depends on the breadth and depth of that work.
TAKE THE NEXT STEP
Where should your AI journey begin?
Tell us about your priorities, the challenges your teams face and what you have tried so far. We will help you identify a useful starting point and build a practical plan for AI adoption.