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.
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 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.
DeloitteOur 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.
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.
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.
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 co-workers, working the same processes, within the same authorisations, logged and reversible.
Amplified intelligence isn't one thing — it's two engines working together. Technology makes the agent possible. Domain expertise makes the outcome real.
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.
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.
Business-led, IT-enabled, and measured against a KPI defined before we build. Every engagement follows the same disciplined path.
Two hours. Bring one workflow, one executive sponsor, and one KPI worth moving. You leave with a six-week prototype plan.
A Forward Deployment Engineer embeds in your business, signs their name next to the KPI, and builds the agents to move it.
Agents go to production inside your systems — conversational first, ambient as trust grows.
Outcome-linked and measured. We close against the number we agreed to move, and keep the agents accountable to it.
Autonomy is earned, never assumed. The governance line holds on every deployment.
Agents act only inside the permissions you grant them — never beyond a human colleague's access.
Every action an agent takes is recorded and auditable, end to end.
Anything an agent does can be traced and undone. No irreversible surprises.
Agents report and act on request first. Autonomy expands only once trust is built.
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.
Enterprise AI fails at the workflow, not the model. We bring engineering rigour to everything that surrounds the agent.
Every engagement begins with one KPI and a Forward Deployment Engineer whose name sits next to that number.
Decades of practitioner judgement stay with the customer, encoded in agents that keep operating after the engagement closes.
Every program starts with a baseline, a target, and an acceptance test, and closes against the number we agreed to move.
We operate natively across SAP Joule, Agentforce, Azure, AWS, ServiceNow, UiPath, and n8n, picking the surface that fits.
Myrtle Beach, SC
Americas Headquarters
Almere
European Headquarters
Leicester
UK Operations
Chennai
Engineering & Delivery Center
Walldorf
DACH Region, SAP's Hometown
Dubai
Middle East Operations
Blacktown, NSW
APAC Operations
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.