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Backed by
Garage 2.0
Groundwork maps how your organisation actually runs, then puts agents to work inside it, one measured workflow at a time.
We map your operations and their artefacts: the inputs, outputs and owners of each process.
We build agents into one process at a time, each measured against a baseline.
Your people keep the sign-offs. An agent gains autonomy only after beating its baseline.
Why now
Intelligence is now abundant and on tap.
Your competitors rent the same models, by the token. What is scarce is what the models stand on: facts with an owner, and processes that exist as a map. The constraint is how much of your organisation an agent can trust and act on.
This has happened before. Factories first bolted electric motors onto coal-era floors and gained roughly 6%; the threefold gain came when the factory was redesigned around the motor. A chat window is the same bolt-on. The question is what your company should look like in an agent-native world, and what has to be rebuilt to get there.
The gain came from redesign, not adoption.
After P. A. David, "The Dynamo and the Computer" (1990)
First principles
Four operating principles.
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Fitted to your contextMost AI systems do not work out of the box. We adapt each one to how your organisation actually runs.
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People and agents, one teamHumans and agents have to work together. We design the interface between them, and your people keep the sign-offs.
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Everything observableYou always know what is going on: what an agent read, did and produced, on every workflow.
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Improving on its ownFeedback loops let agents improve automatically, with minimal human intervention.
Where it starts in an EPC business
Start where work repeats and errors are expensive.
Recurring handoffs, each checkable against a source:
Five steps. One checkable artefact each.
A five-step engagement: map your workflows and rank the opportunities, record every fact with its owner, build or select agents, train your teams, and measure everything against the current process. The Agentic Transformation System™ is the method behind it.
Deployments compound. Later agents reuse the verified data, controls and evaluation work of earlier ones, and cost less to ship.
Tools
Production tooling, chosen per workflow.
The Academy
Your people learn to work beside agents.
We recommend which tools to adopt, and train your teams on them. Training runs through step 04 of the method.
- Strategic Foundations. How LLMs and agents work, where they fail, what the agentic era means for organisations.
- Applied Practice. Labs: rapid prototyping (Lovable), workplace acceleration (Cowork), agentic engineering (Claude Code).
- Function-specific modules. Product, sales enablement and recruitment today; tailored to the teams you choose.
The team
Seasoned operators who scaled the largest digital platforms in Asia.
30+ years with leading digital organisations
Flipkart
Mu Sigma
12Go
Backed by
Garage 2.0
Let's talk.
The first step is small and the map is free: two calls, two weeks, and the Terrain Map is yours either way.
Book a discovery call