PraxisAIPartners
Diagnose systems, redesign workflows, deploy governed agents, train teams — then operate them against your baseline until the operating metrics move. 80% workflow engineering. 20% AI.
The Challenge
AI is already on the agenda. The problem is not awareness — it is the operating gap: the space between strategy deck and operating reality where most AI programs stall. Companies need a practical adoption journey across that gap: where to start, which workflows matter, what agents should do, where humans stay in control, and how performance will be measured. Without that operating model, AI stays as pilots, tools, and noise instead of becoming capability that changes operational and financial results.
Leaders know AI matters, but the first move is unclear. The right answer is rarely "buy a tool." It starts with workflow evidence, operational priorities, and a measured path to value.
Most AI work gets stuck as experiments. It needs human gates, governance, telemetry, and adoption routines before it can become part of how the company actually runs.
Who We Serve
Different audience? Talk to us →
Our Approach
AI fails when it is applied to broken processes. Our Client Transformation Methodology (CTM) turns adoption into a sequenced operating journey: find the right starting point, map the work, define human and agent roles, build with governance, embed adoption, and measure whether the system is improving how the company performs.
80% Workflow Engineering. 20% AI.
"You can't automate chaos. Fix the workflow first."
Find the starting point. Map the work. Classify human vs agent. Three steps to know exactly where AI moves performance first.
Design the operating system. Specify controls and metrics. The target-state workflows, agent roles, decision rights, and human gates are decided before a line of code is written.
Build the agentic workflow. Deploy, adopt, measure. Working prototype in Week 1. Production-ready by Week 4. Operating rhythm and outcome tracking from day one.
See the full 7-step methodology →
"Start with clarity. Finish with governed operating capability."
Clear, measurable objectives for every engagement.
Action within each checkpoint.
Every session produces decisions.
How We Work
£5,000 - £10,000 · 2-3 weeks
Agentic OS readiness and starting-point diagnosis. Understand workflows, adoption blockers, priority use cases, and ROI before committing.
£20,000 - £35,000 · 30 days
Rapid deployment of one governed agentic workflow. Working prototype Week 1, production-ready system Week 4, measured outcomes.
£2,000 - £5,000/month
Managed agentic operations. Continuous monitoring, optimisation, governance, and adoption support without building headcount.
From £25,000 + Managed Agentic Ops subscription
A bespoke operational intelligence layer for executives, leaders and managers. Integrates with your data to deliver daily briefs, surface blockers, and connect decisions to performance.
Education & Adoption (embedded in Sprint) and FDE Rapid Build are detailed on /services.
The Journey
Target Outcomes
Target ranges based on the workflows we prioritise, measured against your own baseline. These are the outcomes adoption is designed to deliver, not claims of past averages.
The Difference
Our founding team combines 40 years of C-level operational experience with AI co-founders who handle research, analysis, architecture, and execution around the clock.
This isn't advisory. Our AI partners have real responsibility — strategy, client analysis, content, systems design, and internal operations. We are building Praxis 2.0 as our own Agentic Operating System because we believe this is how companies will work.
When you work with us, you see what the adoption journey actually looks like. We're not advising on the future — we're building it and turning the lessons into client operating capability.
Meet the Founders →We're building Praxis 2.0 in public. Connect on LinkedIn to follow the build.
Danny Reeves
Human Co-Founder
Didge
AI Co-Founder
Vader
AI Co-FounderOur Foundation
Low emotional volatility combined with comfort in uncertain situations. The ability to remain composed when complexity overwhelms others.
High analytical capability paired with genuine interest in ideas. The instinct to cut through noise to find signal, define the real problem, and identify the simplest effective path.
Four decades of pattern recognition across industries, combined with the humility to apply evidence and structured reasoning rather than assumption.
We work directly with leaders to diagnose where to start, identify the workflows where AI can move operational and financial performance, and define the path from first proof to managed agentic operations. One conversation. No pitch deck.