Your AI Problem Isn't Ideas. It's the Missing Framework.
Boards want an AI strategy and most teams answer with scattered pilots. Tie each AI use case to a business metric, or it stays an experiment.
There’s no fixed sequence and no required first phase. We start with the constraint in front of you. Before any work begins, we agree in writing what it will achieve and how we’ll measure it.
Pick the one that sounds most like you. Most clients start with one, and the others follow when they’re useful.
It’s usually Strategy & Vision paired with Literacy & Enablement, scoped to your starting point. A common version is the AI Integration Blueprint. It should give you real progress and give both of us enough evidence to decide what comes next.
They’re in the scope of every engagement, from a training cohort to a custom build.
What happens in each phase and what you walk away with. Most engagements use some of them, not all four in order.
01 · Assess
Discovery interviews across your organization, from the leadership team to the people doing the work. We look at your data, workflows and team before we recommend anything.
02 · Strategize
Every use case is scored on impact, feasibility and effort, so the roadmap starts with the work most worth doing and names its constraints.
03 · Design
We build working prototypes with your team and test them on real work, then choose the tools and prepare the data behind them.
04 · Operate
Rollout, training built around the people who will use it, and results measured against the baseline. Ongoing support where it’s useful.
“Part project manager, part architect, part AI guide.”
“What matters most to us is that they meet us where we are, embedded in the realities of running 19+ locations, rather than handing over slideware.”
“They bridged AI education with real business execution.”
Short answers on how engagements start, what they involve and how we work with your team. Ask us anything else directly.
Contact usContact usA Dual Logic engagement can run from a few weeks to ongoing support, depending on the work. The AI Integration Blueprint, a fixed-scope diagnostic, takes three to six weeks. Training programs run over a set number of sessions or weeks, builds run to agreed milestones, and Operate & Enhance continues as long as it’s useful. Every engagement sets its first measure of progress at the start.
In most Dual Logic engagements, the first weeks go to understanding the business before recommending anything. A kickoff working session sets objectives and the measures that most need to move. Discovery interviews follow, from the leadership team to the people doing the work, along with a look at your data, workflows and tools. You leave this phase with a baseline for the numbers you’ll track.
A Dual Logic engagement asks for focused time from specific people rather than broad disruption. In the AI Integration Blueprint, that means an executive sponsor and a named coordinator; the leadership team for a kickoff, private input and a final decision session; process owners and a few frontline staff for working walkthroughs; and 10 to 15 minutes from everyone else for a survey.
Dual Logic agrees the intended result and how to measure it before the work begins. We set a baseline at the start, tie the work to a target someone in your organization owns, and keep observed results separate from targets. Return on investment is measured against that baseline. We track the quality of the work as well as business results, and report skills outcomes separately.
A Dual Logic plan changes when the evidence does. We test assumptions early, and if your data, systems or workflows show the approach should change, we change it and explain why. Work is paced to milestones rather than fixed dates, so a change shifts the plan instead of derailing it. Because a change can affect scope, timing or cost, we agree it with you before acting.
Organizations that already use AI can start at whichever phase fits. Most engagements use some of the four phases (Assess, Strategize, Design and Operate), not all four in order. We begin by assessing what you’ve already deployed, including tools like Microsoft 365 Copilot or Google Workspace, then keep, improve or replace each part based on what the business needs.
Thirty minutes with a partner to talk through your priorities and where to start.
Notes from our engagements on what works, what doesn’t, and what it takes to put AI to use.
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Thirty minutes with a partner to talk through your priorities and a sensible first step.