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Research report
AI Does Not Remove the Bottleneck
Find your real workflow constraints before buying AI tools.
AurvikAI · AI Consulting
Turn AI ideas into real business results.
Get a practical AI strategy from a team with 18 years of experience building real systems. We help you find the right opportunities, create a clear plan, and bring it to life.
No vague advice. No strategy deck that gathers dust. Every recommendation is designed to work in the real world. Our founding team has helped more than 350 organisations across healthcare, finance, logistics, and enterprise technology.
18 years
Of real-world engineering experience
350+
Organisations advised by our founding team
90 days
Targeted to start seeing returns
Clients we've worked with
Experience that helps you avoid expensive mistakes.
After working with more than 350 organisations, we know why AI projects succeed and why they fail. We help you avoid unclear goals, poor-quality data, team resistance, and costly tools that lock you in.
If an idea cannot be built and delivers value, we will not recommend it.
Build your AI strategy12
Industries served
70+
Countries with active implementations
Start where your business needs help most
From a quick readiness check to a complete AI transformation plan, choose the level of support that suits your organisation.
AI readiness assessment
Data check: see whether your data is accurate, available, and ready to support AI. Technology review: check whether your current systems can handle the tools and workloads AI requires. Skills review: identify what your team can manage today and where extra support or training is needed. Readiness scorecard: receive a clear score across 12 areas, plus practical actions to close every gap.
FoundationTechnicalPeopleDeliverable
A clear plan your team can act on.
100%
Of our roadmaps include clear specifications that teams can use to start implementation
AurvikAI delivery data
From first conversation to clear action in four weeks
A focused process that gives your team answers quickly and prepares you to move forward with confidence.
Understand your business
We learn how your data, systems, people, and priorities work today. This includes focused interviews and a proper review of your systems, not questionnaires.
You getData review, technology assessment, team alignment report
Find the best opportunities
We identify the AI ideas with the clearest returns, lowest risk, and strongest fit for your goals. Ranked by impact, not by technical novelty.
You getRanked opportunity list, build-or-buy guidance, cost and return estimates
Build your roadmap
We turn the best opportunities into a practical action plan with priorities, solution guidance, data needs, success measures, and realistic timelines. Then we present it to your leadership team.
You getAI roadmap, solution recommendations, vendor comparison
Move into delivery
Ready to build? Our team can take the plan straight into implementation. Prefer to move at your own pace? The roadmap is yours, and we remain available whenever you need guidance.
You getBuild specifications, team skills plan, AI governance guide
Advice that turns into measurable results
73%
Of clients move into implementation within 90 days
4.2x
Average return on recommended AI projects
60%
Faster move from idea to launch compared with the industry average
350+
Organisations advised across 12 industries
Is your business really ready for AI?
Find out in a free 30-minute conversation with our AI team. We will tell you where you stand, what is holding you back, and what your smartest next step could be. No obligation and no sales pressure.
Practical AI lessons from the field
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Selected work
AI systems running in production, described rather than named.
A creator-tools startupValidating the product before funding the buildA rapid concept workshop that checked every platform assumption against the real API docs — and corrected several of them.10 daysfrom first workshop to a fundable, build-ready packageRead the case
An industrial hygiene consultancyTurning lab data into review-ready reportsLab PDFs read automatically, exposure limits checked against the right jurisdiction, and report prose generated with the regulation cited.Under 1 hrto produce a report that used to take six to tenRead the case
A US remote-monitoring healthtechSupporting rehabilitation after dischargeRemote therapeutic monitoring built so the billing qualification cannot be faked, with an AI care plan no patient sees unapproved.15 mina day for a physician to review a full patient panelRead the caseWhat we build with
Assessment
- Evaluation harnesses
- Anthropic Claude
- GPT (OpenAI)
Prototyping
- Next.js
- FastAPI (Python)
- PostgreSQL
Delivery
- AWS
- Vercel
- Sentry
Questions we get asked
What do we get at the end?
A shortlist of things worth building, each with what it would cost, what it would change and what could stop it. Usually a working prototype of the strongest one, because a demonstration settles arguments a document cannot. The deliverable is meant to survive contact with a budget conversation.
How long does an assessment take?
4 wks for most organisations, and the constraint is access rather than analysis. Time with the people doing the work and access to real data are what move it; waiting for either is the usual delay.
Will you tell us if AI is the wrong answer?
Yes, and it happens often enough to be worth saying. A good deal of what gets proposed as AI is a reporting problem, an integration problem or a process nobody has written down. We would rather lose the build and keep the relationship than deliver something that quietly fails.
Do we need a strategy before building anything?
Rarely a document. What helps is deciding which two or three problems are worth solving and what would count as success, which takes weeks. A strategy programme that produces a roadmap and no running software tends to age faster than the technology it describes.
Can you work with our existing AI team?
Yes, and the split usually falls between capability we bring and context they hold. Where an internal team is stuck it is more often on production engineering than on modelling — evaluation, deployment, monitoring, the things that turn a working notebook into a service. That is where we tend to be useful, and where we look first.
What happens after the assessment?
Whatever you decide, including nothing. If you build with us the same people continue, which is the main argument for having us assess in the first place. If you build elsewhere the package is written to be handed over, and that is a legitimate outcome we price for.
Partners in delivery
AI Cloud PartnerPartner Network
Ready to make AI work for your business?
Tell us what you want to achieve. We will give you an honest view of where AI can create value, where it cannot, and the best way forward. Clear answers, practical advice, and no pressure.