AI isn't just changing your tools. It's changing your workforce.
AI is labour technology, not information technology. It’s not software that makes people 10% more productive. It’s technology that can give you 10x improvements and may replace 30% of work hours by 2030. That means redesigning your workforce, not just implementing tools. That’s what we help you do.
Call us today to discuss your AI needs
Why This Moment Matters
For decades, technology improved how people worked. Now it’s replacing what people do.
The organisations that thrive won’t be those with the best AI tools. They’ll be the ones who fundamentally redesign work itself: identifying what humans should still do, what AI should do instead, and what entirely new value only human-AI collaboration can create.
This isn’t change management. It’s workforce transformation.
And the window to do it proactively, before market pressure forces reactive cuts, is closing.
The Labour Reality
Here’s what most consultancies won’t tell you:
AI will do work people used to do. Your data analyst’s role will shrink by 60%. Your legal researcher’s job won’t exist in three years. Your customer service team will be 40% smaller.
That’s not pessimism. It’s economic reality. AI is labour technology.
When technology can perform tasks at 10% of the human cost, the market forces driving adoption become overwhelming. Individual companies can delay, but they can’t indefinitely resist competitive pressure.
But here’s what else is true:
Organisations that proactively redesign work create more value, not less. They don’t just “do more with fewer people”; they discover entirely new capabilities their workforce can deliver.
The difference between thriving and flailing isn’t whether you use AI. It’s whether you treat it as:
(a) Software you deploy, or
(b) Labour you manage
We help you choose (b).
The Shift That's Being Missed
Most consultancies will tell you AI “augments” your people. That’s only half the story.
The reality: By 2030, AI will automate 30% of work hours across the economy. Some roles will need fewer people. Some will disappear. New ones will emerge that we can’t imagine yet.
The uncomfortable question isn’t “how do we adopt AI tools?” It’s “what should our people do when AI does what they used to do?”
We help you answer that question honestly, and act on it strategically.
How We Can Help
Workforce Composition Analysis
Map your labour landscape: which roles contain tasks that should remain human, can be augmented by AI, or should be substituted entirely. We deliver your 3-5 year workforce composition roadmap.
Role Redesign & Task Creation
Redesign specific roles around uniquely human capabilities. But we don’t stop at “what AI can’t do.” We identify entirely new tasks that AI enables but only humans can execute.
Workforce Transition Strategy
Navigate the ethical reality of workforce evolution. Build internal mobility pathways. Manage redundancies as a last resort, not a first response. We measure success by people redeployed.
How We Help
From startup to enterprise, we help organisations redesign work for the AI labour era
Tier 0: AI-Native Startup Sprint
Design your scaling plan with AI labour from day one, not as an afterthought.
- Planning to hire 10+ people in next 12 months
- Want to scale without proportional headcount growth
- Recently funded and building your team
Tier 1: Discovery
Fast assessment of AI's impact on your workforce and opportunity identification.
- £15,000 - Single department (up to 100 people)
- £20,000 - Multiple departments (100-300 people)
- £25,000-£35,000 - Enterprise-wide (300+ people)
Tier 2: Design
Detailed workforce redesign and human-AI integration strategy.
- £45K-£60K - Single business unit (100-200 people)
- £60K-£80K - Multiple business units (200-500 people)
- £80K-£120K - Enterprise programme (500+ people)
Tier 3: Delivery
Full transformation programme from pilot to scale with ongoing support.
- £150K - Single function (6-9 months, 100-200 people)
- £250K - Multi-function (9-12 months, 200-500 people)
- £350K - Business unit (12-15 months, 500-1000 people)
- £450K - Enterprise (15-18 months, 1000+ people)
AI Labour Governance Toolkit
Self-service framework for making consistent labour technology decisions.
- Decision frameworks (when to automate vs augment)
- Assessment tools (ROI calculator, readiness scorecards)
- Implementation guides and playbooks
- Knowledge base with 50+ use cases
- 2 hours of implementation guidance
- Quarterly updates for 12 months
This is not consulting – it's governance in a box for organisations that want to sustain momentum independently
Why Ocovai
Traditional Approach
Strategy consultancies provide recommendations only
HR consultancies focus on process, not outcomes
Tech consultancies lead with IT, not workforce
Implementation takes 12-36 months to see results
Tool adoption measured, not business impact
Ocovai Difference
Strategy through to implementation and results
Business outcomes central to every engagement
Labour technology expertise, not IT deployment
Fast entry points with 2-week sprint or 4-week assessment
ROI and P&L impact emphasis throughout
Who We Work With
We work with organisations facing the labour transformation question head-on:
- Small companies looking to use AI from the outset for strategic advantage
- Mid-sized companies (500-5,000 employees) implementing their first enterprise AI, before workforce implications spiral
- Professional services firms where 40-60% of billable work is now automatable, and partners are asking “what do we bill for in 2026?”
- Manufacturing and operations leaders introducing AI into physical workflows, navigating union agreements and safety-critical roles
- Public sector organisations with statutory obligations to existing staff, needing ethical transition pathways, not just redundancies
Our Approach
Traditional Approach
Typical Statement: “Let’s roll out AI tools and train people” Focus: Technology implementation
Mindset: AI as productivity software
Timeline: 3-6 months
Approach: Deploy tools, run training, measure adoption rates
Outcome: Everyone has access to AI tools; few people fundamentally change how they work. Productivity gains minimal. Workforce implications ignored until crisis.
Result: Capability deployed, value unrealised, hard questions deferred
Our Approach
Typical Statement: “AI will do work people used to do. What should people do instead?”
Focus: Workforce redesign Mindset: AI as labour substitution
Timeline: 4-36 months (phased by stage)
Approach: Analyse what AI should do versus what humans should do, redesign roles, transition people, govern decisions
Outcome: Clear understanding of workforce implications. Roles redesigned around human strengths. People transitioned to new work. Decisions made systematically.
Result: Fundamental productivity shift, workforce evolved not eliminated, competitive advantage sustained
Why This Approach Works
We’re a small team who understand what AI can genuinely do, and how labour markets actually evolve.
We don’t pretend AI is just another productivity tool. We treat it as what it is: labour technology that replaces human work, not just enhances it. Real transformation starts by redesigning work itself.
That means asking hard questions:
- Which work should AI do?
- Which should humans do?
- Where does the value lie?
- What new work should we create when AI eliminates routine tasks?
- How do we transition people ethically when their current work disappears?
- How do we make these decisions systematically, not reactively?
Real transformation starts by redesigning work itself.
We design for outcomes from day one, measuring:
- Labour hours replaced versus augmented (the honest numbers)
- New value created from redesigned roles (not just costs saved)
- People successfully transitioned (beating the industry average)
- Competitive advantage sustained (transform proactively, not reactively)
We’re honest about trade-offs. Not everyone will successfully transition. Some roles will shrink or disappear. But proactive, ethical transformation creates better outcomes than reactive cuts.
If your organisation is on the edge of something bigger, but treating AI like software when it's really labour, now's the moment to act.
The cost of getting workforce transformation wrong isn’t just financial. It’s institutional knowledge lost, culture damaged, and competitive position weakened whilst others redesign work properly.
Contact us today to discuss your AI needs
