Growth systems
I help teams turn a promising offer into a repeatable go-to-market system—from positioning and proof to pipeline and execution.
Advisor · Operator · Builder
I turn ambitious ideas into forward motion.
I'm Chris Rodney. I work with founders, senior leaders, and ambitious AI companies to engineer growth, build practical systems, and recover important work that has lost momentum.
Based in Canada · Working across North America and remotely
Founder, Mojoflow
Consulting & Media
Ways to work together
The mandate first.
The title second.
I take on consulting and advisory work, fractional or interim leadership, and select executive or full-time operating roles where the problem, authority, and opportunity justify the commitment.
See where I fitClarity is useful.
Momentum changes things.
What I do
Strategy with an
operating system.
Private AI systems
I design and build local-first AI, retrieval, model-routing, agent, and monitoring systems—then connect the technical choices to governance and useful work.
Change that lands
I connect strategy, technology, and the people doing the work so AI adoption and transformation create practical momentum.
Recovery under pressure
When a critical initiative is drifting, I help leaders find the signal, reset the operating rhythm, and move forward with confidence.
How I work
Commercial instinct.
Technical fluency.
Human judgment.
My work sits where growth, technology, and organizational change meet. I ask direct questions, make complex situations legible, and stay close enough to execution that the strategy survives contact with reality.
I also build the systems I advise on: private model gateways, retrieval and knowledge layers, governed agents, service monitors, and recovery paths. That hands-on work keeps the strategic advice honest about security, reliability, cost, and what a team can sustain.
Through Mojoflow, I bring together specialist teams for public- and private-sector growth, AI adoption, transformation, and recovery.
Current thinking
Useful ideas.
No thought-leadership theatre.
What building a private AI stack teaches you about enterprise adoption
Field notes on model routing, retrieval, permissions, observability and why the system around the model determines whether AI becomes useful work.
Read the field note ↗Agentic systems need recovery design, not just better prompts
Why permissions, canaries, storm guards, rollback and decision-ready escalation belong in the product design of operational AI agents.
Read the field note ↗GTM engineering is an operating system, not a campaign
Why repeatable growth depends on connected decisions, evidence, workflow and learning—not another disconnected tactic.
Read the field note ↗A good place to start