Built for your situation
not a predetermined scope.
Every engagement is shaped around your goals, your data maturity, and your timeline. The packages below reflect how we most commonly work - but consider them starting points, not constraints.
Engagement models
Common entry points designed for speed and clear outcomes. Most clients will start with one and evolve from there.
DIAGNOSTIC
01
Data & Analytics Assessment
The best place to begin if you're not sure where to start.
A diagnostic of your current data landscape - tools, pipelines, KPIs, measurement frameworks, and governance. We surface what's working, what's not, and where the highest-value opportunities lie. The output is a prioritized roadmap you can act on immediately.
2-4 Weeks
02
Measurement Review
For teams with a specific measurement problems; MMM, attribution, testing or reporting confidence.
A focused diagnostic of your measurement framework: KPIs, attribution models, media/marketing mix modeling, testing approaches, and reporting ecosystem. We clarify what's working, where confidence is low, and how to connect measurement more directly to decisions. The output is a concise, prioritized set of recommendations - not a wholesale overhaul.
2-3 Weeks
DESIGN & INNOVATION
03
Analytic Blueprint
For teams that know they need better analytics, but need a clear design for how.
A structured engagement that maps the questions your business needs to answers, the data required to address them, and the methods and roles to make it happen. The result is a practical operating model for how insight is generated, delivered, and used across marketing and media.
3-6 Weeks
04
Innovation Accelerator
For teams with a difficult business problem and the appetite to think differently about it.
A focused engagement that takes a specific business challenge from raw curiosity to tested concept. We frame the right question, design a custom methodology, and build a working proof-of-concept - blending statistical rigor with creative analytical thinking. The output isn't just an answer; it's a repeatable approach your team can own and evolve.
2-4 Weeks
BUILD & EXECUTE
05
30 / 60 / 90 Day Data-to-AI Sprint
From fragmented data to a working AI prototype, on a fixed timeline.
An intensive, structured program built around a single high-value use case. We align the data, select the approach, and deliver a working prototype or live pilot. Discovery, data readiness, model selection, and workflow integration are combined into one accelerated path - so you prove value fast and set the foundation for scale.
Time-Boxed
06
AI Enablement Program
For organizations ready to move from AI curiosity to actual capability.
A structured program that closes the gap between ambition and execution. We assess your data readiness, identify high-impact AI use cases, design the supporting infrastructure, and build the governance practices needed to sustain it. The outcome is an organization that can implement, integrate, and iterate on AI - not just pilot it.
6-12 Weeks
ADVISORY
07
Vendor Evaluation
Navigate the market with confidence, not confusion.
A rigorous, opinionated evaluation of data platforms, analytic tools, or AI solutions against your specific requirements. We assess for performance, scalability, interoperability, and strategic fit - and deliver a clear recommendation, not just a comparison matrix.
2-4 Weeks
08
Fractional CDAO
Senior data, analytics and AI leadership, without the full-time hire.
Executive-level guidance on data, analytics, and AI strategy on a fractional basis. Covers roadmap definition, capability and org design, vendor decisions, and executive-ready narratives that keep stakeholders aligned. Structured to flex as your needs evolve - from a few hours a month to a deeper ongoing engagement.
Ongoing



Need something different?
Every organization is unique. Let's talk through what would actually work for yours.
Contact
Reach out for tailored support
Email:
Phone:
mlogics.ai@gmail.com
201.835.0555
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