Find the leverage
Understand the work, find the real opportunities and decide what is worth building.
- Workshops and AI education
- Opportunity audits and workflow mapping
- Strategy and implementation roadmaps
The intelligence we were promised is already here.
But applying it reliably inside a company is still hard.
Buying the tools is only the beginning. The value depends on how information, decisions and work move through the business.
When it works, the impact should show up in:
- revenue growth
- customer experience
- or productivity
Most companies were not designed for an abundance of cheap intelligence.
Making the most of it requires a fundamental shift in how a company operates.
Company 1.0
Runs on people manually moving information, making decisions with incomplete context, and producing inconsistent work.
Software records the process, but humans are still the operating system.
Company 2.0 Long-term vision
The end state is a self-running intelligent system.
Agents handle the inputs, decisions and outputs. Humans set direction, define constraints and intervene where judgment matters.
1.0
People route the work
Tools hold fragments of the process. People hold it together.
2.0
Intelligence routes the work
Shared context lets agents carry work from input to outcome.
Company 1.0 → 2.0 In progress
Since 2023 there has been a shift towards implementing new AI tools and educating employees on how to get more out of them.
There have also been grandiose promises around how AI agents can replace your existing workforce entirely.
AI capability has advanced faster than many companies' ability to apply it reliably. Even when the software works well, the results depend on how it fits into the wider business.
We are shown impressive AI demos in controlled environments. But there is often a very large gap between how effective an agent is in a controlled environment and how it performs in the real world.
ChatGPT can sometimes do unbelievable things, yet most AI customer support agents are still useless. Redirecting to a human agent is still their most useful feature.
Prospecting and using AI to personalise outreach can be done quite easily. Yet cold messages today do not fool anyone. They contain incorrect details about the company, the wrong back story or low-ROI use cases. These things erode a company's reputation and customer trust.
The Second Order Approach
As a forward-deployed AI firm, we embed into your organisation to understand how work actually happens, then find the places where intelligence can fundamentally change the quality, cost or productivity of the work.
We redesign important workflows so agents can carry more of the work from input to outcome. Agents have clear responsibilities, quality is measured and humans step in where needed.
We use what the problem demands, whether that means configuring existing software or building a custom system.
Demos are easy. The work is only done when a system is reliable, works for the team and justifies its total cost. We measure the improvement and expand what works.
What we do
Some companies need clarity. Others already know which workflow needs to change. We can start at either point.
Build the system
Redesign high-value workflows and build the systems that carry them from input to outcome.
- AI automations and agentic workflows
- Integrations and custom internal tools
- Context systems and knowledge graphs
Make it work
Take promising systems into production and make sure they earn their place in the business.
- Implementation, evaluation and guardrails
- Team adoption and training
- Measurement and ongoing improvement
Start with one workflow
The 2.0 version of your company will not arrive in one leap. It starts with one important workflow, rebuilt properly.
Not sure which one? That is the first thing we help you work out.