What enterprise AI consulting covers
Aranv provides enterprise AI consulting for larger organizations with several departments, legacy systems and a board asking about AI. We review every pilot, recommend which to fund or stop, settle shared platform and data access decisions, and hand each system to a named owner in the business.
A large organization rarely lacks AI ideas. It lacks one view of them. Pilots start in separate departments with their own vendors, then stall at security review, at procurement or at a legacy system.
Our AI consulting suits small and midsize firms choosing a first use case. AI governance consulting writes the policies and risk reviews. Here the question is different: across many teams at once, what do we fund, what do we stop and what do we share?
From scattered pilots to funded priorities
Many pilots, one set of decisions
- 01 Count what is running Every pilot and license, including tools a team bought on its own.
- 02 Score them on equal terms Value, data needed, risk, running cost and owner, the same for each.
- 03 Fund, fix or stop Your sponsor decides, and the reason goes on the record.
- 04 Hand over to the business A named owner and a measure from that department’s reports.
Stopping a pilot is a useful result. It frees budget and people.
What leadership and department heads receive
Marketing has a writing tool. Finance is testing a contract reader. IT is worried, and the board wants an answer. This brings order to it.
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One register of every pilot
Each AI pilot and tool across departments on one list, with its owner, data, cost and status.
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A board paper on AI
A short paper on where AI money goes, what stopped and what comes next, in words a director can question.
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The security review file
Data flows, access roles, vendor terms and hosting written up early, so security and procurement review facts, not a demo.
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Each department’s own scorecard
Results in numbers a department already reports, such as days to close or tickets per agent, signed off by its head.
Enterprise AI strategy: fund, fix or stop
Every department can make a case for its pilot. We put them on equal terms, test the numbers behind each case and give your sponsor one recommendation per pilot. You end with fewer projects, each properly funded.
What we do
- Pilot inventory across departments
- One scoring sheet for every team
- Reasons recorded for each decision
- Quarter-by-quarter delivery plan
Shared platform and data access decisions
Ten teams should not buy ten ways to reach a model. We help IT decide what is shared: model access, sign-in, logging and cost tracking. Data owners then agree who can use which records.
What we do
- Single sign-on and role mapping
- Cross-department data access rules
- Model and platform vendor comparison
- Buy, build or host privately
- Cost split between departments
- Read paths into legacy systems
How we approach a project
Funded work then needs building and proving: generative AI development for assistants and document tools, private LLM deployment where records cannot go to a shared API, and LLM evaluation and testing before a department widens a rollout.
To see where you stand, run our AI project readiness checklist. Then book a 30-minute conversation for your sponsor through the contact page.
How we work
- One list of every pilot
- Security and procurement involved early
- Results in the department’s own numbers
How an enterprise engagement runs
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Interviews across departments
Department heads, IT, security, legal and procurement tell us every pilot, tool and contract in play.
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Data and systems walk-through
With data owners we trace what each pilot reads and which legacy systems stand in its way.
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Decision meeting with your sponsor
We present a recommendation per pilot, and record what leadership decides and why.
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Handover to named owners
Each funded system gets an owner, a budget line, a measure and a support route.
Why Aranv for enterprise AI
We recommend stopping things
A stop can reduce our own follow-on work. We will still say when a pilot should end, because a shorter list is the point.
Advice from people who build
We build AI systems as well as advise on them, so estimates and integration warnings reflect the real work.
Security in the room early
Security, legal and procurement see the plan while it can still change, not at the end when a rejection costs a quarter.
Capacity once work is funded
After 9 years in business and with 200+ team members, we can staff funded work, or hand the plan to your engineers or another vendor.
Planning Enterprise AI Consulting?
Book a 30-minute conversation with the team that would build it.
Enterprise AI Consulting FAQs
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How do we choose AI priorities when every department wants something different?
Start with one list of what exists, then score each item the same way. Disagreement usually shrinks once value, data needs and running costs sit side by side. A named sponsor decides.
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What should an enterprise AI roadmap include?
Funded work by quarter, with an owner, a budget, the data needed, the reviews to pass and the measure that decides whether it continues. Also list what was stopped, so it does not quietly return.
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Why does enterprise AI adoption stall after the pilot?
Usually because no department owns the result. Nobody has budget to run it, security has not seen it and staff were never asked to change how they work.
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How do you work with our security and procurement teams?
Early, and on their terms. We bring data flows, access roles and vendor terms for review, complete your questionnaires and change the plan when they raise a problem.
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Who owns an AI system after you hand it over?
A named person in the department that uses it, with IT running whatever is shared. Legal ownership of any code we write is set out in your contract.
Let’s talk about your next step
Contact Aranv to discuss your workflow, current tools, and goals. Meet with our team or send an inquiry.
Aranv at a glance
- 9Years in business
- 120+Clients served
- 300+Projects delivered
- 200+Team members
What happens next
- Pick a time, or send your project details.
- We review your goals, current tools and timeline.
- You get a clear next step: a scope, plan or estimate.
Book a meeting with our team
Choose an available date and time for a 30-minute conversation about your project.
- 30 minutes
- Online video call
- Times in your time zone
Tell us about your project
Share a few details so we can discuss a useful next step.
Prefer email? sales@aranv.com