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Pyrana

Why Pyrana

Three ways to buy agentic AI. One of them does the foundational engineering once.

A framework delivers an agent. A vertical application delivers one job. A platform delivers identity, authorization, storage, orchestration, approvals, and audit once, and every application composes on it with people deciding inside it.

Exec read 4 min

  1. Systems of record

    Software that keeps track. People do the work.

  2. Generative AI and copilots

    Software that helps. People still do the work.

  3. Agentic applications

    Software that carries the work, with people deciding inside it.

    Now

01The prize

When software carries the work, the economics of a function change.

Operating leverage

Volume grows without headcount growing in step.

Speed

Cycle times move from days to minutes, and the first governed application lands in weeks, not quarters.

Consistency

Every run reads the same curated knowledge under the same rules.

Resilience

Institutional knowledge stays when people leave.

0 to 25%

EBITA gains from scaling agentic and single-task AI

SourceBain, 2025

0 to 50%

acceleration in business processes

SourceBCG, 2025

0 to 80%

lower cost per transaction in labor-heavy processes

SourceMcKinsey, 2025

The models are ready. What separates outcomes is how safely, and how quickly, an enterprise puts them to work inside its own processes, under its own rules.

02The problem

Pilots are easy. Production is the problem.

A vertical application per function brings ten identity models, ten permission semantics, and ten audit formats, with context trapped in each and integration glue governed by none of them. A framework delivers the part above the waterline. What sits beneath it, authorization, approvals, durable storage, and audit, is expensive, security-critical, and usually built after the first incident.

0%+

of agentic AI projects will be canceled by the end of 2027, citing cost, unclear value, and inadequate risk controls

SourceGartner, June 2025

0%

of enterprise AI agents operate in isolation: no shared data, no coordination, no handoffs

SourceSalesforce, 2026

0%

of organizations have a mature governance model for agentic AI

SourceDeloitte, April 2026

03The answer

Built once. Configured per application.

One identity. One authorization model. One audit record. One shared context. Decided on the backend for every call, human or agent, through every door.

01

One identity.

People, services, workflows, and agents each arrive as themselves, through the identity provider the enterprise already runs. Identity is explicit: an agent with its own identity, an agent on behalf of a user, a workflow as a service principal. All three take the same authorization path.

02

One authorization model.

Authorization is decided in layers, on the backend: tenant, App membership, access profile, scope entitlement, approval lanes. Reading a record and approving a change are two different permissions. What a caller may not see reads as absent, not denied, and a child call never exceeds its parent's authority.

03

One audit record.

One execution record per call, through every door. The audit record is written in the same transaction as admission, before dispatch. A refused call leaves the same evidence as an admitted one.

04

One context.

Company knowledge is held as typed, classified, evidence-backed Context Units in a knowledge graph. Every App reads the same units under its own authorization, and every run accounts for what it retrieved, injected, and cited.

Go deeperPlatform overview3 min

04Three ways to buy

All three get one agent live. They diverge on every application after it.

What arrives
PyranaA platform
Identity, authorization, storage, orchestration, approvals, and audit, built once. Every application composes on it as configuration.
A framework
An agent.
Vertical applications
One finished application per job, each with its own identity, permissions, and data.
Security and authorization
PyranaA platform
One model, decided on the backend in layers, shared by every application.
A framework
The enterprise's to build, and to maintain as agents multiply.
Vertical applications
Each vendor's own. Nothing between them.
Every application after the first
PyranaA platform
One App document plus the client's extension. Same identity, authorization, audit, and context. The basics are never redone.
A framework
Rebuilt per agent, or a platform team maintaining what the framework left out.
Vertical applications
Another product, another identity model, another audit format.
People in the loop
PyranaA platform
Approval lanes as policy on every consequential action, across every application.
A framework
Per agent, per build.
Vertical applications
Per product, on the vendor's terms.

Agents are generic; they cut across verticals. The platform gives an enterprise the raw pieces, configurable, and keeps people in the loop. Pyrana is built for the buyer who has to satisfy security and the business owner who has to get value, in the same product.

Agent control planes (Agent 365, Agent Fabric, AI Control Tower) govern agents under any approach and build no applications.

05Speed to value

The engineering is done. Value arrives sooner.

Identity, authorization, audit, durable storage, orchestration, approval policies, and the context engine are built once and shared by every application. None of it is rebuilt per process, so a team's work goes to the process, the pages, and the knowledge, and the time from decision to a governed application in production is measured in weeks.

About a week
to stand up the App document, with clean data available
About six weeks
from decision to a first App in production; confirmed per engagement
Less each time
for every App after: the basics are inherited, never redone

Already in the platform

  • Identity: SSO, per-agent identity, actor chains
  • Authorization in layers: tenant, App membership, access profiles, scope entitlements
  • The gate: eight steps, fail closed, audit before dispatch
  • Tool approval policies with named lanes
  • Durable execution and orchestration
  • Tool sources and extensions
  • Versioned resources and durable storage
  • The context engine
  • Hosting, scaling, audit and telemetry

What a team builds

  1. 01The App document for the process
  2. 02The approval policy: thresholds, lanes, who decides
  3. 03The knowledge to load
  4. 04The frontend experience

The frontend experience is the main effort. Everything below it already exists.

Sharedidentity modelaccess profilesapproval lanesaudit recordContext Units

06What Pyrana is not

Not a chatbot

A chat window is one door into an application. The application is the pages, the targets, the rules, and the record; the copilot reaches the same targets through the same gate as every other door.

Not a flow builder

A flow builder produces a flow. Pyrana is a runtime and a system of record: identity, authorization, and audit on every call; durable storage and versioned resources; tool approval policies with named lanes; extensions for custom durable backends.

Not a model

A model is assigned per agent through provider adapters, with the client's own keys. Knowledge lives in the context engine, not in weights.

Not a point solution

One platform for every function. Governance and context are shared across all applications rather than rebuilt per product.

07Questions

Frequently asked

What is an agentic application?
A full-stack business application in which people and agents work over the same pages, data, knowledge, and outputs, under one identity, one authorization model, and one audit record. On Pyrana the platform is built once and an application is configuration on top of it: one App document plus the frontend experience.
How is an agentic application different from an agent?
An agent is a mechanism: a model, a configuration, and the tools it was given. An agentic application is the stack around it: declared pages, targets reachable through one gate, authorization, audit, durable storage, versioned outputs, and curated knowledge. On Pyrana, agents belong to Apps and inherit the App's rules; a workflow fans out to specialized agents per entity and group, and everything they produce publishes back to the App.
Is an agentic application safe for enterprise use?
Safety is decided in the path of the call, not in a dashboard. Every call passes one gate before it runs: identity resolved, App version pinned, caller authorized in layers, execution row and audit record written before dispatch. Consequential actions queue for a named approval lane. Unauthorized items read as absent. Secrets never enter prompts.
Which business functions are typical first applications?
Finance, operations, procurement, IT, compliance, and revenue teams: any function with repeatable, multi-step work that depends on data and decision logic, especially in regulated environments. Financial close, collections, procurement, and compliance are common first Apps.
Does Pyrana integrate with existing systems?
Yes. Agents query live through tool sources: REST, ODBC, MCP and MCP gateways, Databricks, Snowflake, Google Drive, and OneDrive. Pyrana does not need to store source data. Client domain code runs as an extension in the same cluster, reachable only through the platform. Existing systems remain the systems of record.
How is Pyrana different from LangChain, CrewAI, or a cloud agent stack?
A framework delivers an agent and leaves the application around it to the enterprise: security, authorization, storage, approvals, and audit, to build and then to maintain as agents multiply. Pyrana builds that layer once (identity, authorization in layers, approval lanes, audit before dispatch, durable execution, versioned configuration) and every application composes on it.
How is Pyrana different from a low-code builder such as n8n, Flowise, or Copilot Studio?
A flow builder produces a flow. Pyrana is a runtime and a system of record: identity, authorization, and audit on every call; durable storage and versioned resources; tool approval policies with named lanes; extensions for custom durable backends such as a project portfolio tracker or a governed browser capability for SaaS compliance checks. Outputs can be delivered to any target the client accepts: Drive, OneDrive, or a system of record.
How portable is an application built on Pyrana?
An application is one YAML document plus the agents, workflows, and tool sources it binds. Agent configuration is plain language and workflows are declarative. Context Units are the client's data and can be exported. Tools built for the platform can in many cases be called from outside it. There is no industry-standard interchange format, so there is no export button; moving an App to another runtime is a reading exercise, not a rebuild. The platform runs in the client's own cloud subscription.
How long does an application take to build?
With clean data available, the App document typically takes about a week to stand up. The frontend experience is the main effort. A first engagement, which also covers SSO, access profiles, approval policy, and loading the knowledge that matters into cortIQ, runs about six weeks and is confirmed per engagement. Later Apps reuse that setup.

Agentic applications, not agents.

Built once. Configured per application.

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