
Peter Dudka
Founder and CEO
15+ years across strategy, technology, and product in SaaS; 3+ years leading generative AI integration and product development initiatives.
We’re an AI integration consultancy for mid-market organizations. A partner leads every engagement, from the first conversation to the result.

Organizations that have worked with Dual Logic.
You meet a partner on the first call, and a partner stays on the work until it’s done. For technical builds, we bring in experienced AI architects and engineers around what the work needs.

Founder and CEO
15+ years across strategy, technology, and product in SaaS; 3+ years leading generative AI integration and product development initiatives.

Managing Partner
15+ years across strategy and go-to-market; 2+ years leading generative AI integration across B2B and B2C mid-market organizations.

Managing Partner and CTO
20+ years in enterprise tech and SaaS. Scaled Industry Dive engineering team. CTO across publishing, media, and adtech environments.
We’re a full-service AI integration consultancy. We help organizations move from curiosity to capability, with measurable results and teams who are confident using what we build together.
We deliver real outcomes, and where it matters, we build your team’s ability to sustain and extend them. AI should elevate your craft, not just your speed. Engage us for a defined initiative or keep us on for the long run. Either way, each phase has to earn the next one.
Most organizations overestimate what they can do with AI in their first month and underestimate what’s possible in their first year. The value compounds, so we plan for the year, not the month.

Most clients start with one. We combine them around what you need, not in a fixed order.
Decide where AI should change how your organization works.
Set priorities, direction and ownership, and a practical path forward.
Help people get better at the work AI changes.
Build shared AI fluency and role-specific skills, from leadership to front-line teams.
Build AI around the work that matters.
Design, build and integrate solutions around real business needs, and support them after launch.
Turn the capacity AI creates into industry-leading margins.
Redesign roles, targets, staffing and governance once AI has changed the work.
Anyone can write values down. Here’s what each one changes about the work.
We start from your priorities, the tools you already pay for and your budget, not from a maturity score. In practice: We look at what you’ve already deployed, like Microsoft 365 Copilot or Google Workspace, before we suggest anything new.
With your people, not to them. AI should take the tedious work so people spend more time on judgment and craft. In practice: The people whose work will change sit in the discovery interviews and test the work before it rolls out.
Every engagement ties to a target someone on your side owns. In practice: Before kickoff, we agree the result, how we’ll measure it and who owns it.
Responsibility shows up in decisions, not disclaimers. In practice: We settle who approves, what data the work uses and where a person stays in the loop, before anything is built. For many clients that’s a usage policy, a data classification matrix and an approval process their own team runs.
“We moved faster on AI in months than I thought possible.”
“I would absolutely recommend the Dual Logic team to organizations looking to accelerate AI adoption in a practical, responsible, and business focused way.”
“They meet us where we are — real capability, not slideware.”
Where engagements start, what happens in each phase, and what you’ll know before we begin.

Thirty minutes with a partner to talk through your priorities and a sensible first step.