Ask
Answer from approved company knowledge, explain a policy or process, and find the current approved version rather than the copy someone saved in 2023.
The flagship managed AI service
Company Jarvis — fully managed.
A Company Jarvis deployment can be handed over to you after launch. Or NeuraMSP can remain responsible for keeping it healthy, governed and improving. Managed Company Jarvis is the second model.
First, what Company Jarvis is
One familiar front door.
Company Jarvis is a practical, governed company AI agent — or a tightly coordinated capability presented through one familiar front door — grounded in approved company knowledge and operating within clear boundaries.
Most organisations sit between two unhelpful extremes: employees using general AI tools with very little organisational control, and ambitious agent programmes that never become dependable live services. Company Jarvis is the practical middle path.
The starting scope is deliberately focused. Get one useful agent into the organisation properly, let people use it, learn from how they actually behave, then expand where value and assurance justify it.
Company Jarvis is a Neura service, not an MSP-only product. NeuraAI delivers it. NeuraMSP is who you talk to when you want somebody to remain responsible for it afterwards.
- One familiar place to ask questions and begin useful work.
- Answers drawn from approved company knowledge, showing the source where the deployment supports it.
- Respects identity, permissions and the information boundaries you agree.
- Shared organisational knowledge, without turning one person's private conversation into everybody's.
- Uses tools and takes actions only where those have been deliberately approved.
- Jarvis Assurance is included in every deployment. It is not an optional module.
Build and operate are different jobs
NeuraAI can build you a Company Jarvis. NeuraMSP can become responsible for it.
Both routes are legitimate. The question is only whether you want to hold operational responsibility yourself once the early-life support period ends.
Delivered by NeuraAI
Company Jarvis
Built around a focused starting use case, grounded in approved knowledge, assured by default, launched and supported through its first live period.
Handover
You operate it
At the end of early-life support, operational ownership transfers to your team along with the documented operating model.
- You hold the runtime and the configuration
- You run evaluation and keep the knowledge current
- You own the improvement backlog and any expansion
Managed
NeuraMSP operates it
Managed Company Jarvis. We remain responsible for the agreed live service, its evidence and the improvement cycle that keeps it worth having.
- We hold the agreed runtime health and configuration
- We run monitoring, evaluation and knowledge hygiene
- We maintain assurance evidence and manage controlled expansion
Where the managed service earns its place
The demo is the easy part.
A first demonstration of a company agent is usually impressive. It is also the moment of maximum accuracy and minimum complexity — one clean knowledge set, a handful of testers, nothing has changed yet.
Then the real world arrives.
Information changes. Permissions change. Systems change. Model and platform choices evolve. Costs move. Staff discover better use cases than the ones you planned for. Weak answers appear and need investigating rather than excusing. Somebody leaves, and with them goes the only person who understood the configuration.
That operational layer is what Managed Company Jarvis is actually for.
The managed product is not only the initial agent. It is the assurance, adoption and continuous care that keep it trusted and useful.
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Month one
A focused agent, a clean knowledge set, a group of willing early users, and everybody's attention.
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Month nine
Drifted documents, changed permissions, a platform update, three new use cases nobody assured, and no clear owner.
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Managed
Month nine should be better than month one. Health, evaluation, knowledge quality, usage, cost and change all have an owner — and improving them is the job.
The company brain
Jarvis is only as good as what it is allowed to know.
The Company Brain is the managed, permission-aware knowledge and data foundation that Jarvis draws on. It is assembled from sources you approve — and just as importantly, it excludes the ones you do not.
Operated by NeuraMSP
People
Your team, asking the questions they already ask.
One familiar front door
Company Jarvis
Ask · Draft · Analyse · Guide · deliberately authorised Act
Approved knowledge and selected actions
Company Brain
Managed, permission-aware knowledge and data, assembled from approved sources.
Drawn from what you approve
- Documents, policies & procedures
- Business systems & data
- Reporting & analysis
Identity · Permissions · Assurance
Managed IT & cloud foundation
- Monitor
- Evaluate
- Support
- Improve
- Control change
What it does
Ask, draft, analyse, guide — and, carefully, act.
Draft
Prepare first drafts using approved company context — summaries, emails, proposals and structured outputs in your own formats.
Analyse
Compare information, summarise themes, and interrogate reporting and data where it has been properly connected.
Guide
Walk staff through an approved process and route them to the right source, form, team or workflow.
Act
Create a task, trigger an approved workflow, record structured information, prepare an action for approval, or route a request.
Actions are bounded and permissioned. Consequential ones need deliberate authority and, where appropriate, a person to approve them. Autonomy is not the default.Observable, auditable and interruptible
These three words are how a company AI service stops being a leap of faith. Proportionate to the risk of the deployment and to what the chosen platform supports, Jarvis is designed so that activity can be observed, problems can be investigated, approved actions can be audited, people can intervene, and operation can be suspended if it needs to be.
We will not promise that every prompt and transcript is centrally retained. Logging has to be proportionate and privacy-aware, and what is captured is agreed with you rather than assumed.
- Observed — usage, health and behaviour are visible rather than inferred.
- Investigated — a weak or wrong answer is something to trace, not something to argue about.
- Audited — approved actions leave a record proportionate to their consequence.
- Interrupted — a person can step in, and access or operation can be suspended.
Assurance included
Jarvis Assurance is in every deployment.
Managed or handed over, small or large, Microsoft-native or not. Assurance is the part that makes the rest defensible, so it is not something you can decline to buy.
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What is it for?
An approved use case, written down, so that scope growth is a decision somebody makes rather than something that happens.
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Who can use it?
The intended users, how they are identified, and who holds administrative access.
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What can it read?
The approved knowledge scope, and the explicit exclusions that sit alongside it.
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Who is allowed to see what?
Source permissions, or an agreed equivalent control where the chosen platform enforces access differently.
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What can it do?
The model, tool and action boundaries — including the actions it is deliberately not given.
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When does a human decide?
Which consequential actions require approval, who gives it, and what happens if they are unavailable.
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How do we know it is any good?
Answer-quality evaluation, plus testing for data leakage, prompt manipulation and unsafe or unintended actions.
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How do we watch it — and stop it?
Proportionate logging and diagnostics, the intervention arrangements, and the ability to suspend the service.
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Who is responsible for what?
Documented operating responsibilities on both sides, so nothing important sits in the gap between us.
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What risk is left?
The residual risk, stated honestly. The point is not to claim AI is risk-free; it is to make the risk something leaders can see and govern.
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How does it grow?
The rules for safe expansion into new knowledge, new users or new actions — agreed before anybody asks for them.
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Who keeps this current?
Under the managed service, we do. Assurance evidence that is a year out of date is not evidence.
Core Assurance
For genuinely contained deployments where the users, the information and the permitted actions keep risk limited. Focused controls that materially reduce risk, without imposing enterprise platform complexity on a team of twelve.
Scaled Assurance
Where data sensitivity, permitted actions, regulation, integration depth, service criticality or potential impact justify deeper identity, audit, information-governance and operational controls.
Assurance depth follows risk and impact, not headcount. A small organisation handling highly sensitive information may need more than a large one running a tightly bounded, low-risk use case. Where a deployment needs specialist security design, threat modelling or deeper assurance, NeuraSec is part of the same group.
The product is Jarvis, not the platform
You are not being sold a stack.
Company Jarvis is not a Microsoft product and is not tied to one model vendor. The delivery recipe is chosen for your situation and tested against it.
- Microsoft-native
- Independent platforms
- Open-weight models
- Frontier models
Company Jarvis
Jarvis remains the familiar front door even when the model or platform underneath it changes.
For a Microsoft-aligned organisation, a Microsoft-native architecture is frequently the strongest fit, because it reuses identity, collaboration and governance controls you already run. That is a reason to choose it, not a reason to be given it by default.
Who owns what
A managed service only works if the boundary is honest.
Managed does not mean you hand over your judgement. It means we hold the operational responsibilities, and you keep the ones only you can hold.
You keep
Your business, your decisions
- Accuracy of the source information
- Approving content and owning the knowledge
- Your business rules and how work is supposed to happen
- Authorised business decisions and their consequences
- Approving consequential actions
- Approving material changes to scope
We hold
The agreed managed service
- Runtime health and proactive remediation
- Configuration and controlled technical change
- Monitoring, integration health and support diagnostics
- Agreed evaluation and knowledge hygiene processes
- Assurance evidence and cost and usage visibility
- The improvement backlog and controlled expansion
These are the typical boundaries, not a contract. The exact split is agreed with each customer and written into the service definition before anything goes live — including what happens when something falls between the two columns.
The managed lifecycle
Discover, build, assure, launch — then the part most people skip.
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01
Discover
Agree the starting use case, the intended users, the knowledge that is in scope and — with equal care — the knowledge that is not.
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02
Build
Select the delivery recipe, prepare and connect the approved knowledge, integrate identity and access, and design the tools and actions Jarvis is permitted to use.
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03
Assure
Implement Jarvis Assurance at the depth the deployment warrants, and test it — answer quality, data leakage, prompt manipulation, and unsafe or unintended actions.
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04
Launch
Go live with early-life support, and with optional Jarvis Adoption where the service needs help landing: knowledge owners prepared, people onboarded, champions supported, feedback captured.
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05
Operate
Proactive monitoring and remediation, configuration, integration health, evaluation, knowledge hygiene, model and platform updates, usage and cost visibility, and incident and problem support.
ManagedThis is the step that distinguishes Managed Company Jarvis from a handover.
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Improve
Weak answers get fixed. Knowledge gets curated. Coaching goes where usage says it is needed. And the service expands into new knowledge or workflows only where value and assurance both justify it.
Controlled expansionGrowth follows the expansion rules agreed during assurance, rather than whoever asked most recently.
Being clear about it
What Company Jarvis is not.
Worth saying plainly, because the category is full of claims that do not survive contact with a live business.
Not a public chatbot with your documents attached
The model is one ingredient. Approved business context, permissions, bounded actions, evaluation and an operating model are the rest of it.
Not a proof of concept
It has an operating model, a named owner for each responsibility and a route for change. That is the difference between a pilot and a service.
Not autonomous by default
Consequential actions require deliberate authority and, where appropriate, human approval. Unrestricted autonomy is not something we switch on quietly.
Not risk-free
Generative systems can produce weak or incorrect outputs. We design for that, test for it and monitor for it — we do not pretend it away.
Not a replacement for your systems
Jarvis is the familiar front door. It is not a reason to recreate your entire application estate inside a chat window.
Start with the use case
What is the first question you would want it to answer properly?
That is usually a better place to begin than a platform decision. Tell us what your people keep asking each other, and we will tell you whether Company Jarvis is the right answer — and whether you should run it or we should.