Pressure to act on new technology
Boards and leaders ask about the latest developments, but the team lacks time to evaluate them properly.
01 / Advance Technology
Every year brings new models, platforms, devices and techniques that promise a great deal. Some will matter to your organisation and most will not, at least not yet. We help you tell the difference, test what looks promising and adopt what proves itself.
At a glance
Durations depend on scope, data readiness and integration needs.
Short answer
Emerging technology solutions is a service that identifies, evaluates, trials and implements technologies that are new or rapidly maturing, such as new classes of AI models, edge computing, spatial computing or advanced sensors, by testing them against specific organisational use cases and adoption criteria before significant investment.
Technology decisions are often made in one of two unhelpful ways. Either an organisation waits until a technology is completely mainstream and loses ground, or it adopts early because of enthusiasm and then struggles to make the technology useful.
Our emerging technology work sits between those extremes. We start with the problems and opportunities that matter to you, scan for technologies that could address them, assess their maturity honestly and design small, measurable trials. Technologies that pass are engineered into production. Those that do not are documented so the question can be revisited when things change.
Business problems
These are the situations where organisations most often find this service worthwhile.
Boards and leaders ask about the latest developments, but the team lacks time to evaluate them properly.
Suppliers present impressive demonstrations that may not reflect your data, scale or constraints.
Experiments are started without criteria for success, so they neither scale nor stop.
Competitors adopt useful capabilities first because nobody was tracking them against real needs.
Use cases
Representative applications. The right use case depends on your processes, data and constraints.
| Area | Example application |
|---|---|
| Strategy and planning | A technology radar mapping relevant technologies to business priorities with adopt, trial, assess or hold positions. |
| AI model selection | Evaluating new foundation models, open-weight models or specialised models for a defined set of tasks. |
| Operations | Assessing sensors, computer vision, robotics or edge devices for inspection, monitoring or safety. |
| Customer experience | Testing voice interfaces, multilingual AI or new digital channels with real users. |
| Product development | Evaluating new platforms or components that could change a product roadmap. |
| Infrastructure | Assessing new compute options, hosting models or data platforms for cost and capability. |
How AARHIT approaches it
Each stage ends with something you can review, so decisions are made on evidence rather than on promises.
Stage 1 of 6
We gather the business priorities, pain points and opportunities that technology should serve.
Output: a list of use cases with value and urgency ratings.
Stage 2 of 6
Relevant technologies are identified from research, open-source communities, vendors and industry practice.
Output: a longlist mapped to use cases.
Stage 3 of 6
Each candidate is assessed for maturity, fit, data needs, integration, total cost, risk and reversibility.
Output: a scored shortlist with a technology radar.
Stage 4 of 6
For the most promising options we design bounded trials with success criteria, data, timeline and budget.
Output: trial plans ready for approval.
Stage 5 of 6
Trials run on real data and conditions, with results measured against the agreed criteria.
Output: trial report and a recommendation to adopt, extend or stop.
Stage 6 of 6
Technologies that pass are planned into engineering work, with skills, platforms and governance addressed.
Output: an adoption roadmap and an updated radar.
Technology
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 |
|---|---|
| AI and models | New foundation models, small language models, vision language models, speech models |
| Edge and devices | Edge AI accelerators, smart cameras, industrial IoT sensors, wearables |
| Data and compute | Lakehouse platforms, vector databases, serverless GPUs, confidential computing |
| Interfaces | Voice, multilingual and multimodal interfaces, spatial computing |
| Evaluation tooling | Benchmark suites, cost models and pilot measurement frameworks |
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.
Typical timeline
A focused assessment of several technologies against defined use cases typically takes 3 to 6 weeks. Individual trials usually run 6 to 12 weeks. Many organisations then refresh their technology radar every six months.
Implementation
Most difficulties in this kind of work are predictable. Planning for them early keeps delivery on track.
A technology rejected today may be ready in a year. Assessments should be dated and revisited.
Licences are often a small part of the cost. Integration, skills, infrastructure and change management usually dominate.
Prefer approaches that can be reversed or replaced if the technology or vendor does not work out.
| Risk to consider | How we manage it |
|---|---|
| Adopting too early | Maturity assessment, bounded trials and reversible architecture choices. |
| Adopting too late | A regularly updated radar linked to business priorities. |
| Vendor lock-in | Open standards, abstraction layers and exit planning during assessment. |
| Trials that never conclude | Fixed timelines and success criteria agreed before trials start. |
FAQ
A technology radar is a visual and written summary of relevant technologies, each placed in a position such as adopt, trial, assess or hold for your organisation, with the reasoning behind each placement.
We look at evidence of production use, community and vendor support, availability of skills, stability of standards and APIs, known limitations and how quickly the technology is changing.
Yes. We do not resell products, so our assessments are based on fit, evidence and total cost for your situation.
Yes. We can review a proposal, test key claims on your data where possible and identify the questions and risks to raise before you commit.
You receive a recommendation for each technology. Where a trial or adoption is recommended, we can design and run it, or support your team in doing so.
Next step
Share the process, product or decision you have in mind. We will ask the right questions, outline options and suggest a sensible first step.