Aginies overview

What is Aginies?

Aginies is an enterprise agentic AI orchestration platform. Supervisor agents plan the objective, specialised agents act inside core systems; every step is traced, passes human approval where needed, and is costed. It is model-agnostic and runs on-premise, hybrid or in the cloud. It is the single execution layer for all of the enterprise’s AI scenarios.

Aginies is taken in two forms: as a platform (the execution layer on which the enterprise builds and runs its own agents) and as an agent workforce (Workforce Aginies: roles such as iOS developer, business analyst, accountant and tester hired as agents). Both run on the same platform under the same governance; the second offers outsourced agents instead of outsourced people.

The thesis is simple: enterprise AI transformation must be handled from pilot to production, end-to-end. Most enterprises experiment with AI; very few run it in production, at scale, under control. Aginies was built to close that gap.

The problem: reaching production

The real problem with AI is reaching production. Pilots impress; the path to production is usually undefined. Four failure modes repeat across enterprises:

• The PoC gap: the pilot works, the path to production stays undefined.
• Scattered initiatives: every unit trials its own tool; no enterprise coherence.
• Unmeasured value: the gap between “it works” and “it pays off” goes unreported.
• Governance gap: security, compliance and auditability are afterthoughts.

The offer: one accountable partner

A partner that owns enterprise AI transformation and runs it end-to-end. Three components under one roof; accountability in one place. Consultants do not come and go; the product is operated together.

How it works: four steps

Agentic AI runs real business processes in four steps. Every step happens on the same orchestration layer and is recorded in the same audit trail.

1. Understand signals: inputs from applications, APIs, documents, voice and events become execution-ready tasks.
2. Supervisor plans: the complex objective is decomposed into structured steps; responsibilities go to specialised agents.
3. Agents act: knowledge is retrieved, documents processed, tools invoked, real operations triggered in enterprise systems.
4. Everything is observed: agent decisions, latency, cost and tool usage are monitored and optimised with full visibility.

Product family

Platform Aginies is the umbrella product; the others are its modules. Every agent is built, observed and governed on one control plane.

Production proof

Production figures for the workloads running on Aginies today, last 30 days:

• 13.1M+ executions in the last 30 days
• 97.4% success rate
• 1,920+ agents active in production
• 13,100+ agents across all deployments

Alongside the production figures, facts derived from the agent library on this site:

Who it is for

Aginies is designed for large and mid-sized enterprises that want to move AI out of pilots and into production under control. The requirements of regulated sectors are part of the architecture.

• CIOs, CDOs and transformation leads: consolidating scattered initiatives on one platform
• Business unit leaders: measurable outcomes in customer, operations and finance processes
• Risk, compliance and internal audit: traceability and human approval for every decision
• Engineering teams: the agent library, the SDLC agent team and in-house code completion

The agent library covers fourteen sectors: banking, fintech and payments, insurance, retail and e-commerce, telecom, healthcare, manufacturing and automotive, logistics, energy and utilities, government and public sector, defence and aerospace, IoT and connected devices, enterprise functions and software delivery.

Solution packages

30 solution packages are grouped in seven areas. Each is defined with scope, prerequisites, measured targets, governance rules and a rollout plan; its architecture and volumes are derived from the linked scenarios.