AI Opportunity Assessment
Identify where AI can produce measurable value before committing to a larger implementation.
A practical roadmap identifying roughly five to seven viable use cases, ranked by business value and implementation difficulty.
Many media companies are already testing AI, but adoption is often fragmented.
Flat Six bridges the gap between experimentation and dependable business use.
Three engagements designed to work as a progression—each available on its own. Most clients begin with an assessment and continue only where the value is clear.
Identify where AI can produce measurable value before committing to a larger implementation.
A practical roadmap identifying roughly five to seven viable use cases, ranked by business value and implementation difficulty.
Turn the strongest opportunities into working systems.
The goal is not to automate everything. It is to remove low-value repetition while preserving judgment, confidentiality, and accountability.
Ongoing support for systems that need to remain useful, reliable, and current.
Organized by business outcome rather than technology. These are representative starting points, not a fixed menu.
Each stage has a defined output and a decision point. You are never committed to the next step before the current one has proven its value.
We learn how the business operates, where time is being lost, and which problems are worth solving.
Opportunities are scored by potential value, effort, data readiness, risk, and required human oversight.
We develop and test a focused first implementation using real workflows and representative business material.
The system is introduced with documented controls, clear ownership, and staff training.
We monitor performance, address failures, and improve the system as tools and business needs evolve.
Built for film, television, streaming, production, financing, distribution, and adjacent content businesses.
Recommendations are evaluated against strategy, operations, economics, and organizational reality.
We begin with the business result, not a predetermined platform or model.
Sensitive decisions remain subject to appropriate review and approval.
Systems are designed around client needs rather than a single AI vendor.
Available as an assessment, a focused implementation, or an ongoing managed service.
We can remain involved after launch rather than handing over a brittle prototype and disappearing.
Media businesses handle unreleased material, contractual obligations, and confidential financial information. Controls are defined as part of the engagement—not assumed afterward.
Not every workflow needs AI. We help identify the ones where it can create a real operating advantage—and then build the systems required to make that advantage dependable.
Tell us what your team does repeatedly, where information gets stuck, or which decisions take longer than they should.