We deploy governed AI Agents that remove friction from operations and deliver measurable financial outcomes improving Gross Profit Ratio for operators and EBITDA for PE‑backed organisations with security, auditability, and adoption built in.
Lower cost‑to‑serve through reduced rework, faster cycle times, and fewer manual handoffs.
Operational leverage through scalable throughput without proportional headcount growth.
Faster lead‑to‑cash, onboarding, approvals, and service delivery.
Reduced leakage through improved billing accuracy, compliance checks, and exception handling.
Start where it matters most to you. Each path is built around the questions, risks, and outcomes that define your position.
Board‑Ready AI Leadership
We help you realise AI value safely with clear accountability, managed risk, and reporting that answers the Board’s toughest questions.
Built Secure. Delivered Properly. No Surprises.
We design and deliver AI the way CIOs and CISOs expect secure by default, governed end‑to‑end, and easy to explain to auditors and the board.
We Make AI Work, In the Real World
We integrate AI into your existing systems, help you roll it out safely, and stay with you until it’s running smoothly day to day.
Years of Experience -
Now Supercharged with AI
Practical AI governance frameworks covering decision rights, controls, ethics, regulatory alignment, and ongoing assurance embedded into day‑to‑day operations, not bolted on.
Leadership and named accountability for AI value delivery, governance, risk, and board reporting.
Secure‑by‑design AI with compliance readiness, auditability, and enterprise‑grade risk controls. (Northwick Cybersecurity)
30+ years of proven programme, project, and change delivery discipline ensuring AI moves from idea to embedded capability. (Bushey IT Change)
Organisation‑wide AI training, role‑based coaching, and safe‑use enablement that drives real adoption.
Proven platforms for AI planning, value tracking, agent development, and workflow automation, operational, not experimental. (AI Coaches, Multiplai.tech)
Decision clarity, risk alignment, investment confidence
Leadership and staff meetings
Department roadshows explaining what changes and why
Value and use‑case workshops
Prioritising highest financial impact
Executives, managers, frontline teams
Ongoing mentoring
In‑role support to reinforce adoption
AI Agents don’t fail because of technology. They fail because organisations move too fast, skip governance, or treat AI like traditional software.
oxhey.ai delivery model provides a structured, repeatable path that helps organisations move from intent to trusted, operational AI Agents safely, responsibly, and at scale.
Each stage builds on the last.
Nothing is skipped. Nothing is bolted on later.
Empower your business with intelligent AI-driven and deliver experiences seamlessly.
A decision‑focused briefing for boards and senior leaders who need clarity on AI, not hype.
This briefing reframes AI Agents as a leadership, value, and risk issue. It cuts through market noise and focuses on where AI delivers real business outcomes, what leaders are accountable for governing, and which decisions must be made before AI can scale safely and profitably.
Executives leave with clear understanding of:
This is not a technical session.
It is a leadership briefing for executives accountable for outcomes, risk, and organisational performance.
A structured assessment of your organisation’s readiness to deploy AI Agents at scale.
We assess maturity across:
Outcome: A clear, realistic view of where you are today and what must change to implement AI Agents safely, governably, and with measurable business impact.
Understand your readiness before you invest.
Every Oxhey.ai engagement is led by a Fractional Chief AI Officer (CAIO) who is accountable for converting AI ambition into sustained, defensible business outcomes.
Accountability includes:
Outcome: A pragmatic, defensible AI Agent strategy that executives and boards can approve, govern, and stand behind with confidence.
Define an AI strategy with clear ownership, financial discipline, and accountability.
AI Agents only deliver value when people understand them, trust them, and use them confidently in their day‑to‑day work.
oxhey.ai provides organisation‑wide AI training combined with targeted, role‑based mentoring to embed AI capability across the business not just within technical teams. The focus is practical adoption, clear accountability, and using AI effectively within real workflows.
Outcome :
Adoption that sticks and converts into measurable productivity improvements and financial returns.
Includes :
Build organisation‑wide AI capability.
Who It’s For
Boards and executives who need AI Agents that work in the real world, not pilots, proofs, or demos.
oxhey.ai guides organisations through the controlled introduction of AI Agents, ensuring solutions are production‑ready, governed, and aligned to business outcomes from day one.
Outcomes delivered
AI adoption does not start with scale. It starts with trust.
We help you introduce your first AI Agent in a low‑risk, controlled way, giving leaders and teams confidence before expansion.
Build trust first. Then scale.
Introduce your first AI Agent in a controlled, low‑risk way, earning trust from users, leaders, and risk teams alike.
Let’s identify a safe starting point and design the operating model that will support future scale.
AI Agents deliver measurable improvements across every aspect of your business.
Start safely with low risk AI Agents that build confidence before scaling.
Move from experimentation to outcomes the business actually trusts.
AI succeeds when people understand it and feel safe using it.
Gives leaders the visibility and control they need.
Build strong foundations once, then reuse and extend them.
Focus effort and spend where value is most likely.
Introducing AI Agents isn’t just a technology decision, it’s a change, delivery and risk challenge. oxhey.ai is different because AI Agents are delivered through proven enterprise change, project and cybersecurity disciplines.
We don’t begin with complex, high risk AI deployments.
We help you onboard a low risk first AI Agent that:
Our approach is built for decision makers, not experimentation labs.
Security, privacy, and compliance are designed into every AI Agent from day one. With our own Cybersecurity brand we blend in the required skills to ensure you are kept secure.
AI only creates value when people trust and use it.
Our six pillar AI Delivery Model ensures nothing critical is missed:
We help you build foundations once, and reuse them safely.
We don’t begin with complex, high risk AI deployments.
We help you onboard a low risk first AI Agent that:
Our approach is built for decision makers, not experimentation labs.
Security, privacy, and compliance are designed into every AI Agent from day one. With our own Cybersecurity brand we blend in the required skills to ensure you are kept secure.
AI only creates value when people trust and use it.
Our six pillar AI Delivery Model ensures nothing critical is missed:
We help you build foundations once, and reuse them safely.
With oxhey.ai, your AI Agents are engineered for enterprise success, delivered with precision, secured by experts, and built to scale.
Backed by Bushey’s delivery capability and Northwick’s cybersecurity expertise, oxhey.ai turns AI Agents into operational capability, safely and effectively.
FEATURED PUBLICATION
Driving Business Success Through Enterprise Automation and AI Agents
by Matt Kesby
A comprehensive guide to leveraging AI and automation for enterprise success. Learn the strategies and frameworks that drive real business outcomes.
Oxhey.ai is now partners with AICoaches.com and Multiplai.tech.
for the delivery of AI analysis, design and delivery tooling
oxhey.ai will be hosting the 'AI Sweet Spot Workshop Series' a focused, executive‑level programme helping senior leaders identify where AI can deliver real, measurable value in their organisation.
Across four interactive 90‑minute sessions, we'll explore practical use cases, governance considerations, and how to move from curiosity to confident execution.
Ideal for leaders seeking clarity, confidence, and a realistic starting point for AI adoption.
Register Your InterestThe management of the full lifecycle of AI Agents, from strategy and design through build, deployment, governance, and continuous optimisation.
We start with business outcomes, identification of use cases, mapping opportunities where AI Agents can automate, augment, or accelerate real workflows.
We deliver task‑based, decision‑support, workflow‑orchestrating, and autonomous AI Agents tailored to enterprise needs.
Agents are designed around your processes, data sources, systems, and users, never one‑size‑fits‑all.
We assess, prepare, and govern data to ensure agents are accurate, secure, and fit for purpose.
Risk, security, and regulatory controls are embedded by design, aligned to frameworks like privacy, auditability, and model governance.
Yes, our agents integrate with enterprise platforms, APIs, SaaS tools, and legacy systems.
We apply guardrails, testing, monitoring, and human‑in‑the‑loop controls to ensure predictable and responsible behaviour.
We use modular, scalable architectures that support rapid iteration, reuse, and long‑term evolution.
Agents undergo functional, security, performance, and ethical testing before going live.
Timelines vary by complexity, but most agents move from design to production in weeks, not months.
We deploy into secure cloud or hybrid environments with full observability and operational controls.
We continuously monitor performance, accuracy, risk, and business impact.
Yes, agents are designed for continuous improvement as data, requirements, and regulations change.
We track outcomes such as efficiency gains, cost reduction, decision quality, and user adoption.
You retain ownership, with clear operating models for business, IT, and risk stakeholders.
We establish repeatable patterns, orchestration layers, and governance models to scale safely.
We use orchestration frameworks that coordinate agents, workflows, and human oversight.
We support enablement through training, change management, and operating model design.
We combine strategy, engineering, and governance to deliver AI Agents that are trusted, scalable, and outcome‑driven.
Start with a conversation about where AI Agents can help your business. Our team is ready to discuss your specific needs and challenges.
Email Address
Get in Touch!
Level 1/9–11 Grosvenor St. Neutral Bay 2089 NSW Australia
Our Approach
Strategy and Value – Every AI Agent starts with a clear business purpose.
People and Change – AI only succeeds when people trust it and know how to work with it.
Process and Design – AI Agents operate inside business processes, not alongside them.
Data and Technology – Agents are only as effective as the knowledge and systems they can access.
Security and Governance – Trust and compliance are designed in from day one.
Operations and Improvement – AI Agents are products that must be operated and improved.
Governance, Board Briefings and Workshops
Identify business values and risks (to include Compliance where applicable)
Discover and Prioritise Clarify use cases, value hypotheses and risk posture. Build the strategy and business case.
Design the Agent Workshops with Departments, Task design, guardrails, and workflow architecture. Define “what the agent can and cannot do.” Create Agent specifications.
Staff Training
Deliver staff AI awareness training specific to customers environment.
Data Readiness Source, validate, and permission knowledge. Set up retrieval, freshness, and access controls.
Governance by Design Apply the risk tiers, approvals, and audit requirements. Align with privacy, security, and regulatory obligations.
Build and Integrate Configure models, orchestration, tools, and enterprise integrations (APIs, SaaS, RPA).
Pilot (Safe Sandbox) Real users, real tasks, measured. Calibrate prompts, workflows, and humanintheloop (HITL) steps.
Validate and Assure Accuracy, resilience, security, and cost. Decision logs and traceability ready for audit.
Deploy to Production Change management, enablement, and communications. Handover to Run.
Run and Improve Ongoing monitoring, incident handling, prompt/model updates, and value tracking.
Fully briefed team (fCAIO, Project and Change Manager, Business Analyst(s), AI Automation Engineer(s), Education Trainer)
AI Agent Design Pack (use case, workflow, guardrails, exception paths)
Data & Access Blueprint (sources, permissions, lineage, refresh policies)
Security & Governance Controls (risk tiering, approvals, audit artifacts)
Integration Build (APIs/SaaS/RPA connections, telemetry)
Pilot Results & Value Model (KPIs, adoption, ROI assumptions)
Production Runbook (SLA/SLOs, incident playbooks, change management)
Training & Mentoring (rolebased enablement for leaders and teams)
Bushey Change Framework, our own framework and toolsets ensures adoption and operating model maturity from day one
AICoaches.com “AI Sweet Spot” Framework, focuses investment where value and feasibility intersect
Regulatedready, security, privacy, audit, and risk controls embedded in the lifecycle
Outcomefirst, we measure value and tune the agent until it’s real, repeatable, and scalable
First Agents are usually implemented within the first 90 days. We use our own award winning Bushey Hybrid Project Management methodology to maintain the focus on key deliverables backed by plain English management progress reporting.
The management of the full lifecycle of AI Agents, from strategy and design through build, deployment, governance, and continuous optimisation.
We start with business outcomes, identification of use cases, mapping opportunities where AI Agents can automate, augment, or accelerate real workflows.
We deliver task‑based, decision‑support, workflow‑orchestrating, and autonomous AI Agents tailored to enterprise needs.
Agents are designed around your processes, data sources, systems, and users, never one‑size‑fits‑all.
We assess, prepare, and govern data to ensure agents are accurate, secure, and fit for purpose.
Risk, security, and regulatory controls are embedded by design, aligned to frameworks like privacy, auditability, and model governance.
Yes, our agents integrate with enterprise platforms, APIs, SaaS tools, and legacy systems.
We apply guardrails, testing, monitoring, and human‑in‑the‑loop controls to ensure predictable and responsible behaviour.
We use modular, scalable architectures that support rapid iteration, reuse, and long‑term evolution.
Agents undergo functional, security, performance, and ethical testing before going live.
Timelines vary by complexity, but most agents move from design to production in weeks, not months.
We deploy into secure cloud or hybrid environments with full observability and operational controls.
We continuously monitor performance, accuracy, risk, and business impact.
Yes, agents are designed for continuous improvement as data, requirements, and regulations change.
We track outcomes such as efficiency gains, cost reduction, decision quality, and user adoption.
You retain ownership, with clear operating models for business, IT, and risk stakeholders.
We establish repeatable patterns, orchestration layers, and governance models to scale safely.
We use orchestration frameworks that coordinate agents, workflows, and human oversight.
We support enablement through training, change management, and operating model design.
We combine strategy, engineering, and governance to deliver AI Agents that are trusted, scalable, and outcome‑driven.
The management of the full lifecycle of AI Agents, from strategy and design through build, deployment, governance, and continuous optimisation.
We start with business outcomes, identification of use cases, mapping opportunities where AI Agents can automate, augment, or accelerate real workflows.
We deliver task‑based, decision‑support, workflow‑orchestrating, and autonomous AI Agents tailored to enterprise needs.
Agents are designed around your processes, data sources, systems, and users, never one‑size‑fits‑all.
We assess, prepare, and govern data to ensure agents are accurate, secure, and fit for purpose.
Risk, security, and regulatory controls are embedded by design, aligned to frameworks like privacy, auditability, and model governance.
Yes, our agents integrate with enterprise platforms, APIs, SaaS tools, and legacy systems.
We apply guardrails, testing, monitoring, and human‑in‑the‑loop controls to ensure predictable and responsible behaviour.
We use modular, scalable architectures that support rapid iteration, reuse, and long‑term evolution.
Agents undergo functional, security, performance, and ethical testing before going live.
Timelines vary by complexity, but most agents move from design to production in weeks, not months.
We deploy into secure cloud or hybrid environments with full observability and operational controls.
We continuously monitor performance, accuracy, risk, and business impact.
Yes, agents are designed for continuous improvement as data, requirements, and regulations change.
We track outcomes such as efficiency gains, cost reduction, decision quality, and user adoption.
You retain ownership, with clear operating models for business, IT, and risk stakeholders.
We establish repeatable patterns, orchestration layers, and governance models to scale safely.
We use orchestration frameworks that coordinate agents, workflows, and human oversight.
We support enablement through training, change management, and operating model design.
We combine strategy, engineering, and governance to deliver AI Agents that are trusted, scalable, and outcome‑driven.