EXILLAR
AI Consulting

AI Consulting That Starts With the Use Case, Not the Model

Most mid-market AI programs stall at the same place — buying a model or a platform before anyone agreed on the decision the AI was supposed to improve. We run AI consulting that starts with the business decision, scores the use case against feasibility and cost, picks the right stack (LLM, classical ML, or neither), and hands you an AI roadmap tied to measurable business outcomes. Before a line of inference code gets written.
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Ai Consulting
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Where AI Programs Stall

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Every department has an AI initiative. None of them connect to a P&L outcome the board can defend.
01
You’ve been pitched three AI platforms this quarter. You can’t tell which one is right for you, and neither can the vendors honestly.
02
The board asks about AI readiness. You said “we’re on it.” You weren’t.
03
You ran a GenAI pilot. It demo’d well. Nobody has moved it to production — and nobody can say what would change if they did.
04
Regulation is tightening (EU AI Act, sector-specific AI rules). Your compliance team doesn’t know what’s exposed.
05

Where Are You Starting From?

Board or investors asking about AI readiness — need an honest answer
AI Readiness Assessment
Multiple AI ideas from the business — need to pick the right ones
Use-Case Discovery & Scoring
Considering an AI platform purchase — need a scored decision
Platform & Vendor Selection
Deciding whether to build custom AI or buy off-the-shelf
Build vs Buy Decision
Need an AI operating model — roles, governance, ownership
AI Operating Model Design
Regulated industry — need responsible AI framework (EU AI Act, NIST)
Responsible AI Framework
Already have AI pilots — need help getting them to production
Pilot-to-Production Roadmap
Pre-IPO or pre-acquisition — need to show AI maturity to diligence
AI Maturity Uplift for Diligence
What can I help with ?

    What Changes After We Engage

    Six scenarios the buyer can picture.

    AI initiatives start from a business decision

    A department head walks in with "we should do AI." You ask what decision they're trying to improve. The conversation either lands on a real use case or stops at the right place. Before Q4 budgeting.

    Platform decisions get made with a spreadsheet, not a pitch

    You're weighing Azure OpenAI, Bedrock, and self-hosted Llama. You sit down with a scored comparison tied to data sensitivity, cost projection, and actual use case fit. The decision takes a week.

    The board asks about AI readiness and you have an answer

    The next board meeting comes up. You present a one-page maturity chart against NIST AI RMF, showing what's in flight and what's realistic in the next twelve months. Nobody asks a follow-up you weren't ready for.

    Compliance knows what AI is exposed to what regulation

    EU AI Act article lands. Within an hour you know which of your AI systems would be classified high-risk, which need documentation, and which need changes before a deadline.

    Pilots either ship or get killed on purpose

    Every pilot gets a go/no-go decision at 12 weeks. The ones that ship have a defined scope and owner. The ones that don't are stopped cleanly, not left on a forgotten slide.

    AI spend is justified in language the CFO accepts

    The CFO asks what last quarter's AI spend delivered. You walk through three use cases with revenue, cost, or risk impact — numbers the finance team already verified.

    How We Engage

    1

    AI discovery and readiness scoring
    Executive interviews, a review of your current AI spend and pilots, a data-readiness audit, and a maturity score against NIST AI RMF or ISO/IEC 42001 — delivered in two to three weeks.

    2

    AI strategy document and roadmap
    Written strategy: maturity assessment, scored use-case matrix, build-vs-buy decisions, responsible AI framework, operating model, and a phased roadmap tied to business milestones — not a slide deck.

    3

    Quarterly review and adjustment
    Meet quarterly to review progress, adjust priorities based on what actually happened, and act as the outside perspective your internal team can’t easily generate — on retainer if you want it or ad-hoc.

    Get an AI Roadmap Before Your Next Platform Purchase Gets Approved

    Book an AI strategy call. We’ll assess your readiness, score your use cases, and come back with a phased AI roadmap — before you commit to another platform or pilot that won’t ship.
    Book an AI strategy call
    Round Shape

    Frameworks & References

    AI Maturity & Risk Frameworks
    LLM Platforms We Evaluate Against
    Strategy Artefacts We Deliver
    Operating Model Patterns
    Cost & Governance

    What Clients Say About Working With Exillar

    Excellent work as always by Umair and team. Umair and team continue to provide excellent work product. Highly recommend, responsive and attention to detail. Umair + Exillar team continue to impress and innovate as business needs evolve

    D&K

    D&K | United States

    Thanks for the project. If you are an Executive, you need a PowerBI dashboard. Great working with the team. Many ongoing projects with Umair. Great person to work with.

    Growloup

    Royal Stone | Canada

    These guys are true professionals, they helped me improve the idea of ​​the work I wanted to develop, very kind and prepared. We will definitely do more work together. second work and I’m very statisfied

    willybesmart

    Willybesmart | United States

    The guys were great to work with, very fast to reply and have a deep understanding of PowerBI. This become a learning experience for me as they shared best practices for PowerBI.

    Darcy

    Darcy | United Kingdom

    Thanks for the exceptional work!

    Hans

    Industry MC | United States

    It was a great experience.

    Miguel

    Truespot | United States

    Umair handled my problem timely and efficiently. He is easy to collaborate with and I will be using him again.

    Travis

    United States

    Super good explanation, patience and a good sense of indagatory about the data, sources, etc. The solutions suggested were very safisfactory.

    Raul Rodriguez/F&K

    Chile

    It is always a pleasure to work with Umair and count on his skills to assist us. I highly recommend him. He has excellent communication skills, which makes my life much easier when conveying out needs to a plan, and executing it.

    Alex

    Austria

    Honestly, this has been an outstanding experience from start to finish.The team went far beyond my expectations — not only did they understand a very complex real-world operation, but they were also able to translate it into a functional and well-structured system.

    Latamsa

    Folding Production Control System | Mexico

    Working with Exillar has been amazing. Bhavisha has has gone above and beyond to get us what we need. Very pleased. ~Sherwin

    Loudermilk Homes

    Website development | USA

    It is always a pleasure to work with Umair and his team. Rock start service!

    Alex

    United Kingdom

    Industries We've Worked In

    Retail & E-Commerce
    Healthcare
    Finance & Banking
    Real Estate & Construction
    IoT & Technology
    Manufacturing & Industrial

    Retail & E-Commerce

    Customer analytics, inventory forecasting, and analytics engines that reduce churn and increase basket size.

    Healthcare

    Patient data platforms, clinical reporting, and HIPAA-compliant analytics environments for providers and health-tech.

    Finance & Banking

    Real-time transaction analytics, fraud detection, regulatory reporting, and risk dashboards.

    Real Estate & Construction

    Project data consolidation, budget tracking dashboards, and supply chain analytics across multi-site operations.

    IoT & Technology

    High-volume device data ingestion, stream processing, and analytics platforms for connected product companies.

    Manufacturing & Industrial

    Operational analytics, quality control monitoring, and supply chain visibility platforms.

    Got Questions?

    Will you try to sell us a specific AI platform?
    No. Platform recommendations come out of the assessment, not the sales conversation. We’re Microsoft and Snowflake partners, which we disclose up front. If Anthropic, Databricks, or self-hosted open-source is the right answer for your workloads, that’s what the report says.
    Not always. Some AI use cases can run on modest data. Others need a warehouse and pipelines first. The readiness assessment tells you which of your AI ideas are feasible now versus which need data work first — that’s part of the deliverable.
    Data strategy is about building the data foundation. AI consulting is specifically about what AI to build on top of that foundation, and how to govern it. Many engagements touch both; we scope explicitly.
    Yes, and we prefer to. A good AI strategy engagement includes knowledge transfer to your internal team from day one. We’re giving your Head of Data, CTO, or emerging AI function the external perspective and frameworks they can’t easily generate from inside.
    EXILLAR