PraxisAIPartners
PraxisAIPartners
We guide leaders through the full journey: diagnose the right starting point, redesign workflows, deploy governed agents, train teams, and run the operating rhythm until operational and financial results are visible.
The Challenge
AI is already on the agenda. The problem is not awareness. Companies need a practical adoption journey: 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.
AI adoption has to connect to cycle time, decision quality, cost-to-serve, revenue capacity, and EBITDA impact. Otherwise it is activity, not transformation.
Who We Serve
AI value creation across the portfolio, tied to operating metrics, hold period timelines, and a repeatable adoption model.
Seed to Series B companies that need AI to become operating leverage, not another layer of complexity.
Transformation mandates that need governed agentic workflows, adoption discipline, and measurable business outcomes.
Practical AI adoption without enterprise budgets, in-house AI teams, or months of ambiguity.
You come to Praxis when: AI is on the agenda but nobody is sure where to start, pilots are scattered, leadership needs evidence, or the company needs AI adoption tied directly to operating and financial performance.
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.
Stakeholder interviews, workflow evidence, and value hypotheses. Understand where AI can move performance first.
Break workflows into discrete, measurable components. Map dependencies, bottlenecks, decisions, data, and value levers.
Determine what stays human, what becomes agentic, and what needs a hybrid operating pattern. Not everything should be automated.
Design target-state workflows, agent roles, decision rights, validation frameworks, and integration architecture.
Detailed specs for each agent, integration point, human gate, risk control, and success metric. No ambiguity.
Rapid development in 30-day sprints. Working prototype from Week 1. Production-ready workflow by Week 4.
Production deployment with outcome tracking, team training, operating rhythm, and continuous optimisation.
"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.
£5,000 - £10,000 · Weeks 3-8
Training and adoption programmes that bridge the gap between 'it's deployed' and 'we use it daily.' Role-specific sessions, human gates, playbooks, and a 30-day support window.
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.
£3,000 - £8,000/day · 1-3 days
Forward Deployed Engineer model. We embed with you — on-site or virtually — to diagnose, prototype, and prove the first agentic workflow in compressed time.
The Journey
Results
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 →
Danny Reeves
Human Co-Founder
Didge
AI Co-Founder
Vader
AI Co-FounderBuilding in Public
We're sharing the build of Praxis 2.0 in real time: the wins, the lessons, the work in progress. What happens when a company builds its own Agentic Operating System? This is what it looks like.
Follow @dannyfreeves on XOur 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.