FAQs

What services does Mlogics provide?
We offer data/analytic strategy consulting, AI-driven development, and custom solutions to help marketing and media teams turn data into growth opportunities.​

How does it differ from general data/analytic/AI consultancies?
Most of the consultancies in this space come from a technology background and apply general frameworks to marketing problems. Mlogics comes from the opposite direction - 40+ years of hands-on work building data systems, analytic products, and AI solutions for some of the world's largest advertisers. That means we understand the business problem before we touch the technology, and we know which approaches actually hold up against real data and real C-suite scrutiny. We've been in your situation before. That's not a methodology, that's experience.

What kinds of problems does Mlogics typically solve?
The problems we see most often: data infrastructure that isn't translating into better decisions; systems that are technically running but not trusted internally; AI investments that got bought before the strategy was defined; and analytics work that produces outputs but doesn't change what the organization actually does. If any of those sound familiar, that's where we start.

Why work with a boutique consultancy rather than a larger firm?
Larger firms bring teams, process, and overhead - and often assign their most experienced people to win the business, then hand execution to junior staff. With Mlogics, the person you talk to in the first conversation is the person doing the work. Every engagement is led by a senior practitioner with direct experience solving the exact type of problem you're facing. For organizations that want real expertise applied to their specific situation (not a framework adapted from another industry) that's a meaningful difference.

We already have an analytics team. How does Mlogics fit in?
Most of our engagements work alongside existing internal teams, not around them. We bring in specialized expertise for specific problems; a measurement architecture that needs rethinking, an AI use case that needs proving out, a vendor decision that needs an independent perspective - and we transfer knowledge at each stage so your team comes out stronger, not more dependent on outside help. Knowledge transfer is one of our core operating principles.

How do you approach AI given all the hype right now?
Carefully and specifically. AI can genuinely accelerate how marketing and media organizations work, but only when the data foundation is sound and the use case is well-defined. We've seen too many organizations buy AI tooling before either of those conditions are met, and the results are predictable. Our approach is to cut through the noise, identify where AI will actually deliver speed and value for your specific situation, and build toward that, rather than chasing what's generating the most LinkedIn posts this week.

What industries do you serve?
Our core focus is marketing and media - brands, agencies, and martech companies. That's where Mlogics' experience lives, and it's where we can be most impactful.​ In terms of verticals, extensive expertise across many including consumer goods (especially CPG), retail, QSRs, e-commerce, financial services, telecom, automotive, entertainment and healthcare.

What is your process for starting a project?
We begin with one or more discovery sessions to assess your objectives and business challenges, followed by a customized approach and roadmap to implementation.​

Do you offer custom AI agent development?
Yes, we build bespoke agentic AI solutions (e.g. automation, data analysis, advanced analytics), which can be integrated with your existing marketing tools. Initial strategies can yield insights in 4-6 weeks, with full AI integrations showing ROI within 3-6 months, depending on scope and data maturity.​

What is the best way to get started?

Reach out by email or phone. We'll set up time to understand your situation and give you an honest assessment of where we can help - and how.