Claude, OpenAI, Copilot or Gemini. Implemented into the work.

Do more with the tools you already have

LEAPWORX embeds your chosen AI environment into the programme workflows that drive delivery—connecting evidence, automating repeatable work and putting controlled agents into operation.

Start with one live programme See the implementation model

EvidenceControlAction

Not another SaaS productMaximum value from the AI toolset you already chose.Independent implementation. No implied affiliation or endorsement.

Implement in

ClaudeAnthropicOpenAIChatGPT · APICopilotMicrosoftGeminiGoogle

Complex engineeringProduct developmentProgramme deliveryOrganisational leadership

One live programme · one measured path

From AI access to owned capability in controlled steps.

PropositionNo new SaaS

Your environmentChosen AI + systems

GovernanceHuman authority

Interactive operating path. Move across a box to reveal its detail.Interactive operating path. Tap a stage to reveal its detail.Open full size ↗

The implementation gap

Choosing a powerful AI is only the start.

Value appears when your chosen AI environment is connected to the evidence, decisions and routines that run the business. LEAPWORX makes that implementation real—inside your environment, systems and authority model.

The operating resultRisk surfaces earlier. Leadership time returns. Decisions become traceable.

Live evidencePhysical action

Implementation, not another product

Your AI environment, operating inside delivery.

LEAPWORX configures the models, context, connections, workflows and controls that turn a general-purpose AI toolset into a working part of programme delivery. Nothing new for teams to buy and feed.

Capture01Challenge02Execute03

The implementation model

Your chosen AI, embedded in how the programme runs.

Keep the systems, governance and accountable leaders you already have. LEAPWORX turns the AI toolset you already chose into an operational capability across the project evidence and routines that matter.

Accountable leadershipProgramme Director · PMO · Engineering leaders

Implemented AI environmentConfigured context · connections · controls · operating prompts

Programme workflows + controlled automationRisk · decisions · commitments · schedule · reporting

Existing systems + project evidenceMicrosoft 365 · Jira · SharePoint · ERP · planning tools

Principle 01 Implement the toolset you chose. Do not create another parallel system.

Put the model to work

Five workflows to implement first.

LEAPWORX builds each workflow in the client’s chosen AI environment and puts it into the live operating rhythm, with people retaining approval and accountability.

Meeting preparation

A focused brief built from the latest decisions, actions, risks and evidence.

Brief

Commitment tracking

A reliable view of who committed to what, by when, and what has changed.

Control

Emerging risk radar

Weak signals surfaced across project evidence for human review and escalation.

Signal

Weekly programme challenge

A structured challenge to confidence, assumptions, dependencies and recovery actions.

Challenge

Automated programme reporting

A draft narrative generated from current evidence, with traceability and review built in.

Report

Value in controlled stages

Connect context. Automate the repeatable. Authorise agents carefully.

Project intelligence

Connect evidence and context

Project automation

Run repeatable programme work

Controlled project agents

Execute within defined authority

Governance by design

Every action has an authority level.

The AI Authority Matrix makes the operating boundary explicit—from observing project evidence to taking a pre-authorised action. Pilot deployments remain within A0–A2.

30-day pilot envelope A0—A2

Observe

Read, structure and surface evidence.

Prepare

Build an evidence-backed challenge or next action.

Execute with approval

Move an approved action into the relevant workflow.

Execute within authority

Act inside a tightly defined, monitored boundary.

The 30-day implementation pilot

Implement and prove value on one live programme.

A contained pilot connects the agreed evidence, builds priority workflows in your chosen AI environment and measures the change before any decision to scale.

See what the programme requires

Days 01–05
Audit
Map evidence, pain points, governance and a baseline.
Days 06–10
Configure
Establish bounded access, context and controls in the chosen AI environment.
Days 11–24
Implement
Put selected workflows into the team’s operating rhythm.
Days 25–30
Prove
Compare outcomes, capture learning and make a scale decision.

Measurement frameworkValue is established, not assumed.

Time returned·Control improved·Trust established·Adoption in live routines

Benefits described on this page are intended outcomes. They are not presented as proven client results; each pilot defines and measures its own baseline.

What we need from your organisation

Open intent. Enabled IT. Internal ownership.

A leadership team ready to test new ways of working; an IT and security environment that enables approved AI capabilities; and a named team prepared to operate and scale the capability in-house.

Where LEAPWORX fits

Built for programmes where complexity has consequences.

Delivery at engineering scale

AerospaceDefenceAutomotiveEnergyMedical devicesRoboticsAdvanced manufacturingInfrastructure

Richard WheatleyEngineer · Founder · Programme leader

Direct contactDiscuss a live programme

Founder-led delivery

Practical credibility in complex engineering and organisational leadership.

Richard Wheatley is an engineer, programme and product leader, and Managing Director and Founder of HeadX Ltd. LEAPWORX combines that hands-on delivery experience with practical AI implementation inside real organisations.

Selected organisations and roles