NeuraAI · Accelerators
Dip a toe in. Learn something real. Then decide.
Some leaders do not want a blueprint first. They want a bounded way to try Copilot, an agent, or one use case, see how it goes, and only then talk about scale.
Each accelerator has an agreed purpose, boundary and set of outputs before work begins. What it will cost is agreed then too. You can stop at the end. There is no requirement to buy a follow-on engagement.
Who it is for
A low commitment, with a result you can judge.
- You have ideas, and you need to choose where to begin.
- Licences are already bought, and barely used.
- One team has one problem, and wants evidence before a bigger commitment.
- You want to learn without signing the organisation up to a programme.
What do you need to find out?
| Your starting point | Accelerator | What you take away |
|---|---|---|
| We have ideas, and need to choose where to begin. | AI opportunity sprint | A prioritised shortlist and a practical starting roadmap. |
| We want selected people to get useful results from Copilot. | Copilot enablement accelerator | Agreed tasks configured, tested and supported through initial use. |
| We have one problem, and want to test an approach, including an agent. | AI use-case pilot | A focused prototype or trial, evaluation findings, and a next-step recommendation. |
Accelerator
AI opportunity sprint
Find a sensible place to start. A focused review for organisations that want to understand where AI, and better use of data, could make a useful difference.
We use your priorities, existing activity and a compact set of background information to shape a workshop and relevant examples. We then assess the strongest ideas and turn them into a practical starting roadmap.
The review can identify data, technology, skills and ownership needs. Detailed design, implementation and bespoke prototypes are scoped separately once priorities are clearer. For a wider set of leadership and investment decisions, see roadmaps and strategy.
The work includes
- Preparation using agreed existing information and a short scoping conversation.
- Focused discussion and demonstrations using suitable example material.
- A shortlist of up to five opportunities, with intended benefits, dependencies and next steps.
- A phased roadmap with specific early actions and a view of later work.
- Playback, handover and one consolidated round of refinement within the agreed scope.
You leave with a clear basis for deciding what to investigate, prepare or try next, with the reasoning and assumptions explained.
Accelerator
Copilot enablement
Help selected people use Microsoft 365 Copilot for work that matters. If licences are unused or underused, that is a good reason to start. Naming Copilot is an example of a tool many organisations have already bought, not a partnership.
Examples include preparing for meetings, finding relevant information, drafting documents or organising the day's priorities. We agree what is useful, confirm what is supported in your environment, and help people build it into their working habits.
Available features depend on the product, licence and configuration you have. We confirm those details before committing to the scope. New licences, wider tenant changes and an organisation-wide rollout are agreed separately. For that wider step, see Copilot and agent delivery foundations. The line on what Copilot may read and do sits with secure and compliant AI.
The work includes
- Agreeing the users, the tasks and the signs of useful adoption.
- Checking the relevant licences, access and configuration prerequisites.
- Hands-on help with the agreed setup, working with your IT team and the access needed to deliver it.
- Testing the pattern with an agreed test user before extending it to the selected users.
- Practical coaching, initial tuning and a documented handover.
You leave with a tested way of using Copilot for the selected tasks, people who understand how to use and check its outputs, and clear next steps.
Accelerator
AI use-case pilot
Test one idea against real work. One defined problem, a focused prototype or a bounded trial, and an honest view of whether further investment makes sense. The approach can be an assistant over a defined collection, or a bounded agent that helps with a single workflow.
Examples include finding answers in a defined knowledge collection, assisting with a document task, or helping a team classify and route work. We choose the approach around the problem, the information available and the people who will use it.
We agree whether the pilot uses sample information, an approved data extract or a controlled live environment. A pilot does not automatically include production deployment, extensive integration or ongoing operation. If the agent can take an action, or the information is sensitive, draw that line with NeuraSec before or alongside the pilot.
The work includes
- A clear problem statement, an owner and agreed measures of success.
- A defined user group, data boundary and technical approach.
- Development and testing of the agreed prototype or trial.
- User feedback and an evaluation of quality, usefulness and limitations.
- A recommendation to improve, extend, adopt or stop, with the next requirements made clear.
You leave with a working example and evidence for the next decision.
How it works
Learn, then choose whether to scale.
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01
Agree the boundary first
Purpose, people, information, outputs and what the engagement will cost. Separate licence or platform costs are named, not folded in quietly.
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02
Do the bounded work
The sprint, the Copilot pattern, or the pilot. Nothing outside the agreement gets added because it seemed useful on the day.
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03
Test it with the people who will use it
A real task, a real user, and a check on quality. People learn how to use the output and how to tell when it is wrong.
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04
Decide what the learning supports
Improve, extend, adopt or stop. If it is worth scaling, the next conversation is usually enabling services, or roadmaps and strategy when several priorities now need one plan. You can also take the findings to your own team.
What you get
Evidence for a decision, and a path if you want one.
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From a sprint
A shortlist and a starting roadmap, with assumptions explained, so you can choose what to investigate or try.
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From Copilot enablement
A tested pattern for selected tasks, people who can use and check it, and the next improvements written down.
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From a pilot
A working example, an evaluation, and a recommendation to improve, extend, adopt or stop.
An example
A five-day fast start.
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A UK district council
An AI and data accelerator: a five-day fast start to find use cases and create an outline blueprint.
Questions
Short answers.
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How fixed is the scope?
Each accelerator has an agreed purpose, boundary and set of outputs before work begins. What the engagement will cost is agreed then too, along with the people and information needed, the schedule, and any separate licence or platform costs. The scope does not grow quietly into a programme.
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What if we already have Copilot licences that nobody uses?
That is a sound reason to start with the Copilot enablement accelerator. We agree a user group and a small number of real tasks, check the licences and access, test the pattern, and coach people through initial use. A wider rollout is a separate enabling piece of work.
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Can a pilot include an agent that takes actions?
Yes, when the problem calls for it and the boundary is explicit. The pilot still covers one defined problem, a named owner, a data boundary and a recommendation at the end. What the agent may read and do, especially where it can change a record or send something, is agreed with NeuraSec's secure and compliant AI service.
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Do we have to continue with you afterwards?
You can use the findings with your own team, ask us to scope the next step, or decide a different approach makes more sense. There is no requirement to buy a follow-on engagement.
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What if the honest result is to stop?
That is a valid outcome. The pilot ends with a recommendation to improve, extend, adopt or stop, and with the reasons. Stopping an idea that has not earned further investment is part of the point.
A small, useful start
Which first step would teach you something?
Tell us where you are starting and what you want to learn. We will help you choose an accelerator and keep the scope proportionate.