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Enterprise AI

Enterprise AI Agent Platform: Agents, Apps and Governance in One Place

For CIOs, IT heads and operations leaders who need AI agents on real business records, with the controls an enterprise audit will ask about.

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Two people at a cabinet of many drawers, one opening a single drawer with a brass key

Pilots are easy. Putting AI agents on invoices, contracts and employee records is where most enterprise AI stalls, because nobody can answer who the agent acts for, what it may change and who checks it. An enterprise AI agent platform has to answer those questions before the first agent runs.

Apragya puts agents, the enterprise apps they work on and the governance around them in one platform, so security reviews are about configuration rather than architecture.

What stalls enterprise AI

Access

Agents that can read everything are a security finding waiting to happen.

Accountability

Nobody can say who approved what an agent did.

Cost

Usage is invisible until the invoice arrives.

Integration

Agents cannot reach the systems where the work actually is.

An example: agents on contracts at a mid-sized manufacturer

Take an illustrative manufacturer rolling out AI on its contract repository. Legal wants clause review, finance wants renewal alerts, and IT wants to know exactly what each agent can touch.

What governance covered before the agents went live

  • Who may run each agentRole-based access down to sub-features.Done
  • Which records it readsContracts only, for one company.Done
  • What it may changeWrite gates, with undo.Done
  • Where a person steps inRisky clauses wait for legal.Done
  • What it costsAI Credits, attributed by company.Done
  • Which model keyTheir own provider key, being configured.Pending
  • What is maskedPersonal data masked before any model call.Done
Agents in an enterprise are an access-control problem first and a model problem second.

The security review took one meeting instead of a quarter, because every question had a setting behind it. Legal reviews flagged clauses instead of reading every contract.

Three lanes each ending at a gate with a figure standing at it, only one gate open
Every agent runs inside a lane somebody drew, and stops at a gate somebody owns.

Why an enterprise AI platform beats a collection of pilots

Pilots each solve one problem and create one more thing to secure. A platform gives every agent the same identity, permission, review and audit model, so the tenth agent is no harder to approve than the first.

Scattered AI pilots, against Apragya

FeatureScattered pilotsApragya
Security modelOne per pilotOne model for every agent
Human reviewBuilt separately each timeReview nodes and approval queues
AuditVaries by toolImmutable trail, every run
Cost trackingPer vendor invoiceMetered per company
Records to work onExported to the toolFifteen enterprise apps in place

Checked against public information on 16 September 2026.

How enterprise AI automation runs in Apragya

Step 1 of 5

Build

Agents are generated as real graphs, versioned and published.

  1. Build: Agents are generated as real graphs, versioned and published.
  2. Bind: Each agent attaches to specific records and events.
  3. Run isolated: Runs execute in isolated processes with time limits.
  4. Review: Human review nodes pause work that needs a decision.
  5. Observe: Every run records its steps, cost and model calls.

What makes Apragya's enterprise AI apps different

Apps agents can work on

Finance, contracts, HR, support, inventory and more.

Governance built in

Role-based access and guardrails.

Your keys, your choice

Bring your own LLM keys, or use the platform's.

Single sign-on

Google and Microsoft SSO with multi-factor authentication.

Deployment options

Managed, self-hosted, or reaching on-premise SAP through a Tenant Runner.

Distribution

Build once, distribute agents and apps to teams and tenants.

A sensible rollout

  1. Choose one process with a clear owner and measurable volume.
  2. Scope the agent to those records and one company.
  3. Keep human review on for every money or risk decision.
  4. Review the audit trail and cost after two weeks.
  5. Extend to the next process with the same controls.

The controls you set for the first agent carry over to every one after it.

What it costs to start

INR 7,999
Pro, a month
Up to 25 users, with all enterprise apps.
5,000
AI Credits
Included on Pro
Free
Up to 3 users
With CRM, HRMS and one Additional App of your choice

Enterprise AI platform, answered

Can agents be restricted to one company or department?
Yes. Access is scoped by role, company and module, and agents inherit those limits.
How are agent actions audited?
Every run records its steps, model calls and costs, and every change is written to an immutable trail.
Can we connect on-premise systems such as SAP?
Yes. SAP OData and RFC connectors are available, and a Tenant Runner reaches systems inside your network over one outbound connection.
Do you support single sign-on?
Google and Microsoft single sign-on with multi-factor authentication are supported.
What does it cost to start?
Every enterprise app comes with the Pro plan, INR 7,999 a month for up to 25 users, which includes every enterprise app, 5,000 AI Credits, single sign-on and audit logs. The free plan covers up to 3 users with CRM, HR and One Additional App of Your Choice and 1,000 AI Credits.

Put agents on real records, safely

Scope one agent to one process and walk through the controls with us.

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