Built to close the gap between
AI ambition and enterprise execution.
ProxyN.ai is a business-first agentic transformation company. Not software alone, not services alone — a partner that combines product IP with forward-deployed domain expertise to put AI to work inside your systems, on the outcomes that actually matter.
Enterprise AI doesn't fail at the model. It fails at the workflow.
Most enterprise AI stalls in the same place — not the model, but the workflow where real business decisions get made. The gap is rarely capability; it is execution and comprehension. ProxyN.ai was built to close that gap: to take AI out of the demo and into the processes your business runs on, with someone accountable to the outcome.
The shift to agentic AI is already underway.
The demand is validated by the industry's own analysts. The unresolved part — value capture, governance, and scaling — is exactly where ProxyN.ai works.
of enterprise apps expected to include task-specific AI agents by 2026.
Gartnerof organizations report scaling agentic AI somewhere in the enterprise.
McKinseyincrease in worker access to AI in 2025, with expectations for scale still rising.
DeloitteHuman intelligence, unified intelligence, and agentic AI — combined into one workforce.
Our model is told in three stages of intelligence. Each builds on the one before, until human and agent workforces merge into something neither could deliver alone.
Human intelligence
One person, in one role, executes the work. The accounts-payable manager captures invoices, catches duplicates, runs payments. This is the unit of work every enterprise already recognises.
Unified intelligence
A team executes a workflow. The month-end close is a sequence — steps that depend on each other and hand off in order. The team's value is coordination, not just effort.
Amplified intelligence
Inject agentic AI and the two workforces merge. Agents proxy the roles, orchestration proxies the team, and ambient learning takes the combined workforce beyond what either humans or agents could do alone.
The result is one combined workforce — your people and their digital coworkers, working the same processes, within the same authorisations, logged and reversible.
Two engines behind every outcome.
Amplified intelligence isn't one thing — it's two engines working together. Technology makes the agent possible. Domain expertise makes the outcome real.
Product IP and agentic technology
Reusable agent blueprints, orchestration, identity and governance, and a data-quality trust layer — the productised backbone that lets an agent work inside your systems, within your authorisations, logged and reversible.
Forward-deployed domain experts
Practitioners in finance, SAP and ERP, supply chain, identity, and operations who encode real judgement into every agent — so it does the job the way your best people would, and stays accountable to the outcome.
Agentic Service as a Software™ — outcomes, not licences.
Business-led, IT-enabled, and measured against a KPI defined before we build. Every engagement follows the same disciplined path.
Blueprint Workshop
Two hours. Bring one workflow, one executive sponsor, and one KPI worth moving. You leave with a six-week prototype plan.
Six-week build
A Forward Deployment Engineer embeds in your business, signs their name next to the KPI, and builds the agents to move it.
Full-cycle deployment
Agents go to production inside your systems — conversational first, ambient as trust grows.
Managed operations
Outcome-linked and measured. We close against the number we agreed to move, and keep the agents accountable to it.
Every action inside your systems — within authorisations, logged, and reversible.
Autonomy is earned, never assumed. The governance line holds on every deployment.
Within your authorisations
Agents act only inside the permissions you grant them — never beyond a human colleague's access.
Logged
Every action an agent takes is recorded and auditable, end to end.
Reversible
Anything an agent does can be traced and undone. No irreversible surprises.
Conversational today, ambient over time
Agents report and act on request first. Autonomy expands only once trust is built.
What ProxyN.ai exists to do, and what we are building toward.
Enterprise leaders should not have to master foundation models, agent platforms, or orchestration frameworks to capture value from AI. We absorb that complexity, so the people closest to the outcome can stay focused on it.
To make autonomous enterprise execution practical, governed, and measurable for every organization.
To build the most trusted execution experience for working with AI agents — turning intent into action without requiring teams to master the underlying models, platforms, or orchestration technologies.
Five convictions that shape how we work.
Execution is the work.
Enterprise AI fails at the workflow, not the model. We bring engineering rigour to everything that surrounds the agent.
Accountability is the commitment.
Every engagement begins with one KPI and a Forward Deployment Engineer whose name sits next to that number.
Expertise belongs in the agent.
Decades of practitioner judgement stay with the customer, encoded in agents that keep operating after the engagement closes.
Outcomes deserve measurement.
Every program starts with a baseline, a target, and an acceptance test, and closes against the number we agreed to move.
Platform follows outcome.
We operate natively across SAP Joule, Agentforce, Azure, AWS, ServiceNow, UiPath, and n8n, picking the surface that fits.
Forward Deployment Engineers across seven countries, on four continents.
United States
Myrtle Beach, SC
Americas Headquarters
Netherlands
Almere
European Headquarters
United Kingdom
Leicester
UK Operations
India
Chennai
Engineering & Delivery Center
Germany
Walldorf
DACH Region, SAP's Hometown
United Arab Emirates
Dubai
Middle East Operations
Australia
Blacktown, NSW
APAC Operations
Start with a two-hour Blueprint Workshop.
Bring one workflow, one executive sponsor, and one KPI worth moving. We will return a six-week prototype plan with scope, ownership, success metrics, and execution steps.