Your Agentic OS Partner

Turn AI interest into governed operating capability.

Most AI stalls in the gap between the strategy deck and operating reality. Praxis helps PE firms and portfolio companies find where AI moves the P&L, redesign the workflows, build the shared knowledge layer, and deploy agents with human control — measured against your own baseline.

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40
Years in the Arena
30
Day Sprints
Week 1
Working Prototype
90
Day OS Cycle

The System Beneath The Work

AI only becomes capability when the operating layer is coherent.

The motion above is a metaphor for the system we build with clients: company context becoming legible, agents coordinating around that context, human control points governing the edges, and measurement loops showing whether performance is moving.

Context

Shared brain

Workflows, data, decisions, and constraints become readable enough for agents to act from the same operating picture.

Coordination

Agent roles

AI stops being scattered tools and becomes assigned capability with clear jobs, inputs, outputs, and escalation paths.

Control

Human edge

The high-consequence calls stay human: external commitments, trust, ethics, production exposure, and restricted data.

Measurement

Telemetry loop

Adoption, quality, cycle time, and operating outcomes are measured against the baseline rather than asserted.

The Adoption Journey

From first clarity to managed Agentic OS cycles.

The path is sequenced so buyers can start with the right level of certainty, move quickly into governed workflows, build the full operating system through a 90-day programme, and then keep improving it through managed operations.

1

Clarity Session

Find the right first conversation and define what evidence is needed.

2

AI Diagnostic

Map workflows, context, blockers, opportunities, and the board-ready adoption path.

3

Agentic Workflow Sprint

Deploy scoped, production-ready agentic capability with Week 1 prototype proof and Week 4 launch.

4

Fully AI Agentic OS

Build the full operating system in a 90-day cycle: shared brain, agents, governance, telemetry, and adoption.

5

Managed Agentic Ops

Operate, optimise, govern, and expand deployed capabilities through an ongoing managed rhythm.

See the Service Path →

The Challenge

Most AI dies in the operating gap.

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, what the shared brain must know, what agents should do, where humans hold edge authority (the calls that must stay human), and how performance will be measured. Without that operating substrate — the shared brain, agents, decision rights and telemetry a company actually runs on — AI stays as pilots, tools, and noise instead of becoming capability that changes operational and financial results.

No Clear Starting Point

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.

Pilots Without Operating Control

Most AI work gets stuck as experiments. It needs a shared brain, edge authority, telemetry, and adoption routines before it can become part of how the company actually runs.

Who We Serve

Leaders who need a path from AI interest to operating performance

Different audience? Talk to us →

Our Approach

The journey from workflow clarity to an Agentic Operating System

AI fails when it's applied to a company it can't read. Our Client Transformation Methodology turns adoption into a sequenced operating journey — six moves from first clarity to a measured Agentic Operating System.

80% Workflow Engineering. 20% AI.

"You can't automate chaos. Fix the workflow first."

01

Map the work

Find the starting point and map the workflows, data and decisions AI needs to act on.

02

Build the knowledge layer

Assemble the shared company knowledge base agents work from — what we call the shared brain.

03

Define agent roles

Decide what each agent does, what it owns, and where it hands off.

04

Set human controls

Draw the approval boundaries that stay human — what we call edge authority.

05

Deploy workflows

Ship governed agentic workflows into production, with telemetry from day one.

06

Measure impact

Track adoption and operating metrics against your baseline until they move.

See the full 7-step methodology →

"Start with legibility. Finish with operating capability."

How We Deliver

Week 1 — Working prototype

Proof against your real workflow in the first week, not a quarter.

Week 4 — Production capability

A production-ready, scoped agentic workflow live and measured by week four.

90 days — Agentic Operating System

The full AI Agentic Operating System — unified context, governed agents, edge authority, telemetry and adoption — built through 90-day development and implementation cycles.

How We Work

A clear path from first diagnosis to managed agentic operations.

Discovery

AI Diagnostic

£5,000 - £10,000 · 2-3 weeks

Readiness, workflow evidence, opportunity map, 100-day roadmap and investment case before you commit.

Deployment

Agentic Workflow Sprint

£20,000 - £35,000 · 30 days

One or more bounded workflows, agents, automations, telemetry slices or operating capabilities live in four weeks.

Programme

Fully AI Agentic OS Programme

From £75,000 - £150,000 · 90 days

The full operating-system implementation: shared brain, agent roles, workflow contracts, edge authority, telemetry and adoption.

Ongoing

Managed Agentic Ops

£8,000 - £12,000/month

Ongoing monitoring, optimisation, governance, operating reviews, capability tracking and expansion after deployment.

Pre-Deal

AI Due Diligence

£8,000 - £15,000 · 2-4 weeks

Pre-acquisition AI maturity, technology, data, opportunity and risk assessment for deal-team decisions.

The master package structure is detailed on /services, with free assessments and discovery calls helping choose the right entry point.

The Journey

From first clarity to operating system

1
Clarity Session
Free
2
AI Diagnostic
£5-10k
3
Agentic Workflow Sprint
£20-35k
4
Fully AI Agentic OS
£75-150k
5
Managed Agentic Ops
£8-12k/mo

Pre-deal route: AI Due Diligence (£8-15k, 2-4 weeks) can run before or instead of the Diagnostic when the immediate question is acquisition risk and upside.

Start with a Diagnostic if:

  • You know AI matters but do not know where to start
  • You have scattered pilots and no operating model
  • You need evidence before committing budget
  • You need a board-ready adoption path

Go direct to Sprint if:

  • You have a specific workflow ready to improve
  • There is an accountable owner and clear baseline
  • The data, systems, and users are accessible
  • You are ready to measure adoption and impact

Target Outcomes

What we target

40-60%
Target time saved on the workflows we prioritise
2-3x
Decision velocity improvement
ROI
Operational and financial impact measured from baseline

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

Partnership in Practice

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 operationally testing 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 testing it, measuring it, and turning the lessons into client operating capability.

Meet the Founders →

Praxis 2.0 is in operational testing. Connect on LinkedIn to follow the build.

Danny Reeves

Danny Reeves

Human Co-Founder
Didge

Didge

AI Co-Founder
Vader

Vader

AI Co-Founder

Find the right starting point for your AI operating journey

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.

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