LATENT VALUE · REALISED
Nobody designs a fragmented business. It emerges through growth as systems are added, processes are adapted, and information becomes scattered. Each tool works. Together, they create complexity that slows adoption, compounds cost and limits growth.
A dozen tools. A dozen vendors. Each convinced they hold the truth. None connected enough to see the whole picture.
Significant investment in tools and people, but little becomes institutional knowledge. When people leave, the advantage they built leaves with them.
People become the glue between systems, re-keying information, reconciling conflicts and chasing context that should already exist. The business spends its best hours maintaining connections instead of creating value.
Every deal, decision and near-miss creates intellectual property. Most of it disappears into conversations, inboxes and individual experience instead of becoming an asset the business can compound.
Buying another tool adds another fragment. The answer is not more software. It is a connected foundation where the business can capture what it knows, build what it needs and own the capabilities that create advantage.
Every business already contains the information it needs to improve. It is scattered across systems, workflows and people. We bring it together, create an intelligence layer built around that business, and use that understanding to determine what should be built.
The lake and the layer are constant. What comes out of them is not, because it is built for one business at a time.
Over the lake sits Cortex: the intelligence layer built for one business at a time. Every decision, exception, and outcome becomes part of its understanding, turning experience into a compounding advantage. It does not just run the operation. It remembers it.
Tools are replaceable. Knowledge is not. Cortex becomes more valuable with every decision, exception and outcome it captures. Competitors can buy the same software. They cannot buy the proprietary intelligence your business has accumulated.
Underneath sits an extensive agentic and automation stack, refined across live engagements. On top of it, six proprietary operating systems can be built for a business, each one governed end to end so autonomy stays accountable. You don't need all six at once. Start with one process →
Remembers every decision, exception and outcome, and compounds it into advantage.
Continually audits the agents doing the work, so autonomy stays accountable.
Captures meetings and calls across devices, and turns them into a structured record.
Connects external signal to the internal data lake, so it sees further.
Observes how work is actually done, and turns it into a blueprint for automation.
Guides people through the agents live and onboards teams onto them, so the tools are used not shelved.
Every engagement is measured against the same three outcomes. The path to achieving them is different, because every business has a different gap to close.
Duplicate spend and unnecessary complexity identified and removed, turning optimisation into measurable P&L impact.
The operational friction removed, allowing people to focus on the decisions, relationships and work where human judgement creates the most value.
Internal knowledge and external insight combined, surfaced earlier, and turned into action faster than competitors relying on the same off-the-shelf tools.
Rented plateaus. Owned compounds.
Bought tools stall, redesigned workflows pay and proprietary AI commands a premium when a business is sold. Four findings, none of them ours.
of enterprise generative AI pilots deliver no measurable P&L impact.
EBITDA gain delivered by companies scaling AI across core workflows.
Across 25 organisational attributes, workflow redesign was the strongest driver of EBIT impact from AI.
higher multiples paid where buyers secured exclusive access to proprietary AI.
Built over two years inside a global recruitment business, solving these exact problems from the operator's chair. AI and automation are the toolkit; the job is business transformation.
More than two decades in global recruitment, from frontline delivery to executive leadership, working across the CRM, ATS and analytics platforms that power these firms. He has built and scaled delivery and technology functions from the ground up, led enterprise-wide AI governance and directed the creation and deployment of agentic systems and automation across the business. He pairs operational discipline with a deep working knowledge of the technology stack recruitment businesses depend on. Backed by relationships built across operators, vendors and investors in the sector, he leads product, delivery and technology strategy at Laveeka.
A career spent at the intersection of recruitment and technology, working across the enterprise software that recruitment and professional-services firms run on. He has built commercial functions from the ground up, led enterprise technology sales, structuring deals in the Microsoft ecosystem and spoken alongside Microsoft and LinkedIn on AI’s impact on the industry. He pairs commercial discipline with a working knowledge of the tools recruitment businesses actually use. Backed by a decade of experience and a deep network across the APAC and North American markets, he leads commercial strategy, client relationships and origination at Laveeka.
Tell us where you see the opportunity, or where the business feels constrained. We will help identify what is worth closing, building and unlocking. Prefer email? hello@laveeka.com.
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