Major investment decisions under uncertainty
Leaders are asked to approve large budgets without clear evidence.
03 / Research
Technology Feasibility Studies
Before a significant technology investment, decision-makers need to know more than whether something is technically possible. They need to know whether the data exists, whether it will fit into operations, what it will cost to run and what could go wrong. A feasibility study answers those questions in one place.
At a glance
- Service
- Technology Feasibility Studies
- Pillar
- Research
- Typical starting point
- Feasibility scoping call
- Typical first phase
- 3 to 6 weeks for most studies
- Key technologies
- Artificial Intelligence, Data Engineering, Cloud AI
Durations depend on scope, data readiness and integration needs.
What is Technology Feasibility Studies?
Short answer
A technology feasibility study is an independent assessment of whether a proposed technology solution, such as an AI system, automation programme or connected product, is technically achievable, supported by available data, operationally workable, compliant with relevant requirements and justified by expected value relative to cost and risk.
Feasibility studies are sometimes treated as formalities, written to support a decision already made. Ours are designed to inform the decision. We look at the proposal from several angles and state clearly where it is strong, where it is weak and what would need to be true for it to succeed.
Depending on uncertainty, a study may include small technical experiments, data sampling, architecture options, vendor comparisons, operational impact analysis and cost modelling. The result is a report that leadership, technical teams and finance can all use.
Business problems
What problems does Technology Feasibility Studies solve?
These are the situations where organisations most often find this service worthwhile.
Internal disagreement about a proposal
Teams hold different views on whether an initiative can succeed.
Unclear total cost of ownership
Proposals include development cost but not running, support and change costs.
Regulatory or ethical concerns
It is unclear whether a proposed AI use is permissible or appropriate.
Use cases
Where can Technology Feasibility Studies be used?
Representative applications. The right use case depends on your processes, data and constraints.
| Area | Example application |
|---|---|
| AI initiatives | Assessing proposed AI assistants, automation or analytics before funding. |
| Product ideas | Evaluating whether an AI-enabled product can be built and sold viably. |
| Public sector programmes | Assessing technology proposals for citizen services or monitoring schemes. |
| Industrial projects | Evaluating IoT, vision or digital twin initiatives for plants or infrastructure. |
| Grant or funding applications | Providing structured technical feasibility analysis to support proposals. |
| Build versus buy | Comparing custom development with commercial products. |
Who should consider it
- Executives and boards approving technology investments
- Programme sponsors needing independent assessment
- Startups validating technical viability
- Public bodies planning technology procurement
How AARHIT approaches it
How we deliver Technology Feasibility Studies
Each stage ends with something you can review, so decisions are made on evidence rather than on promises.
Stage 1 of 6
Scoping
We define the proposal, the decision to be made, stakeholders and the dimensions to assess.
Output: study plan and question list.
Stage 2 of 6
Technical assessment
Approaches, architecture options, technology maturity and integration needs are evaluated.
Output: technical findings and options.
Stage 3 of 6
Data assessment
Data availability, quality, access, privacy and representativeness are examined using samples.
Output: data feasibility findings.
Stage 4 of 6
Operational and regulatory review
We assess process changes, skills, support needs and legal or regulatory considerations.
Output: operational and compliance findings.
Stage 5 of 6
Value, cost and risk analysis
Expected benefits, total cost of ownership and key risks are analysed with sensitivity to assumptions.
Output: value and risk assessment.
Stage 6 of 6
Recommendation
Findings are brought together into a clear recommendation and options for next steps.
Output: feasibility report and executive summary.
Technology
What technologies are involved?
We choose tools on fit, cost, security and your existing estate. These are typical options, not fixed commitments.
Learn more about the underlying technologies
| Layer | Typical options |
|---|---|
| Analysis | Architecture modelling, capability mapping, maturity assessment frameworks |
| Experiments | Rapid technical spikes and small data experiments where needed |
| Data | Data profiling tools and secure sampling environments |
| Financial | Total cost of ownership models and sensitivity analysis |
| Risk | Risk registers, AI impact assessment templates, regulatory checklists |
Outcomes
Potential business outcomes
Targets are agreed with you during scoping and measured against a baseline. We do not quote improvement figures before we have seen your process and data.
- A clear, evidence-based view of whether to proceed
- Better understanding of total cost and risk
- Options that can be compared objectively
- Alignment between business, technical and finance teams
How long does implementation generally take?
Typical timeline
Most feasibility studies take 3 to 6 weeks. Studies that require technical experiments, multiple sites or extensive stakeholder engagement may take 8 to 10 weeks.
What determines complexity?
- Scale and ambition of the proposal
- Number of stakeholders and sites
- Need for technical experiments
- Regulatory environment
- Availability of data samples
Implementation
Implementation considerations and risks
Most difficulties in this kind of work are predictable. Planning for them early keeps delivery on track.
Be willing to hear no
The value of a feasibility study depends on openness to all outcomes.
Provide real data samples
Data feasibility cannot be judged from descriptions alone.
Include operations stakeholders
People who will run and use the system often identify the most important constraints.
| Risk to consider | How we manage it |
|---|---|
| Confirmation bias | Independent assessment, explicit assumptions and presentation of counter-evidence. |
| Incomplete information | Stated confidence levels and clear identification of what remains unknown. |
| Study becomes outdated | Dated assumptions and triggers for reassessment if conditions change. |
| Recommendations not acted on | Practical next steps with owners and decision points. |
FAQ
Questions about Technology Feasibility Studies
What does a technology feasibility study include?
Typically a technical assessment, data assessment, operational impact review, regulatory and ethical considerations, cost and value analysis, key risks and a recommendation with options.
How is a feasibility study different from a proof of concept?
A feasibility study looks broadly at whether a proposal is viable from several angles. A proof of concept tests one technical assumption by building something. Studies often recommend a PoC as the next step.
Can a feasibility study include cost estimates?
Yes. Studies include a total cost of ownership view for each option assessed, covering development, infrastructure, licences, support and change effort, so options can be compared on more than build cost.
Do you assess vendor solutions as part of feasibility?
Yes, where relevant. We compare vendor options against requirements and, where possible, test key claims using sample data.
Who should be involved from our side?
A sponsor who owns the decision, technical and data contacts, representatives of the teams affected, and where relevant legal, compliance and finance stakeholders.
Next step
Considering Technology Feasibility Studies for your organisation?
Share the process, product or decision you have in mind. We will ask the right questions, outline options and suggest a sensible first step.