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Pyrana

Why Pyrana

Most AI is stuck in pilots. The hard part is why.

Copilots help one person at a time, and the result depends on what that person thought to ask. Pilots stall because production needs what the demo leaves out: permissions to the row, approval on the exact action, a record before every action, runs that survive failure, and knowledge that stays true. In Pyrana that part is already built, so your teams focus on your business problems.

Three generations of business software

  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

Where it fits

A three-tier AI strategy. Pyrana is the top tier.

TRANSFORMAUTOMATEEQUIP

  1. Tier 3 · Transform

    AI-native applications for the workflows that differentiate the company, carry no margin for error, are regulated, or span several systems. This is Pyrana.

    • Regulated
    • Differentiating
    • Cross-system
    • High-consequence

  2. Tier 2 · Automate

    Copilot Studio, n8n and in-app agents take steps out of existing processes without changing them. Keep them.

  3. Tier 1 · Equip

    Copilots for every knowledge worker. Everyone should have one.

Keep tiers 1 and 2 on the tools you have. Put tier 3 on one governed platform.

The decision frame

Build or buy now has a third answer. Build on a platform.

Agentic applications on Pyrana

  • Financial close
  • Collections
  • Procurement
  • Compliance
  • Reporting
  • Customer service
  • Supply chain
  • People operations

Data layer · bought

  • Fabric
  • Databricks
  • Snowflake

Read live, as the user. No copy required.

Systems of record · bought

  • ERP
  • HR
  • CRM

A few, with AI built in.

Software is not dead. Buying a separate application for every workflow is.

A few vertical tools

Only where a vendor owns knowledge you cannot reproduce.

Why the old answer stopped working

305

SaaS applications at the average company, $55.7M a year

Zylo, 2026 SaaS Management Index

2,191

applications at the average large enterprise, 61% outside IT

Torii, 2026 Benchmark Report

45%

of AI coding tasks introduced a security vulnerability

Veracode, 2025 GenAI Code Security Report

Go deeperBuild, buy, or build on a platform9 min

The market in one picture

Enterprises want to get to where they need to go. Everything on offer is a vehicle, a part or a driver.

  1. Chat agents on your systems

    A hired driver

    For each car you already own. The route depends on whoever gives directions.

    Process unchanged

  2. Build from components

    A kit car

    Your engineers assemble every vehicle, and redo the foundation each time.

    You have to assemble

  3. Vertical AI tools

    A train

    Fast between two fixed stations. Every new route needs its own track.

    A different tool for each job
  4. Pyrana

    Build on a platform

    A fleet with dispatch

    Vehicles, routes, licensing and dispatch, already in place. A new route is a schedule, not a new vehicle.

    One foundation, many solutions

Pyrana is the fleet. Each new application is a new route, not a new vehicle.

Proof in a demo

Three questions to ask any vendor. Ask us too.

  1. 1

    Set a $500 limit. Ask it to pay $5,000.

    Look forIt stops and waits for the approver your policy names.

  2. 2

    Whose permissions did it use?

    Look forA record of who asked, who approved and which rule applied.

  3. 3

    What knowledge was used to make this decision?

    Look forTime-stamped knowledge attribution: the exact rule and source, as they stood when it ran.

The close workflow proposes

running

Intercompany adjustment · PMW / MWM

JE draft · 38,400 USD

Checks on this action, before it runs

Who is asking
j.okafor · single sign-on
Version
finance v14 · active
Allowed
controller · entity PMW
Record
written before it runs
Waiting for you

Above 25,000 USD · treasury approvers

policy v7

K. Osei

ApproveSend back

Execution record

Posted onceapproved by K. Osei
Illustrative · Pyrana Capital is a synthetic portfolio

Governance is not a dashboard. It is what happens on the next action.

Archetypes for agentic applications

Four ways to deliver agentic applications. Each can support a single use case. Only one truly scales.

What you get
D · An agentic application platform
Governed applications on a foundation that is already built.
A · Buy vertical AI tools
A packaged AI product for one job.
B · Extend the suite or copilot
Automation inside the systems you already own.
C · Build from components
Primitives and an agent loop, with full control.
Low effort for the first application
D · An agentic application platform
About six weeks to production.
A · Buy vertical AI tools
Fast: the vendor's product, live quickly.
B · Extend the suite or copilot
Fast, inside the vendor's estate.
C · Build from components
Months: the foundation comes first.
Low effort for every application after it
D · An agentic application platform
Starts with everything the first one built.
A · Buy vertical AI tools
Another product, contract and security review.
B · Extend the suite or copilot
Bounded by what the suite covers.
C · Build from components
The foundation is rebuilt or reworked per project.
Permissions and approvals
D · An agentic application platform
One model. Approval on the exact action, by the person your policy names.
A · Buy vertical AI tools
Each tool brings its own.
B · Extend the suite or copilot
The suite's own, licensed per user.
C · Build from components
Yours to build.
Shared knowledge
D · An agentic application platform
cortIQ, shared by every application, with evidence on every run.
A · Buy vertical AI tools
Held inside each product.
B · Extend the suite or copilot
Within the suite's data.
C · Build from components
Yours to build.
Work across systems
D · An agentic application platform
Connects to the systems you run and reads them live, as the user.
A · Buy vertical AI tools
One job, one system.
B · Extend the suite or copilot
Strongest inside the vendor's own systems.
C · Build from components
Possible, with integration work.
Best for
D · An agentic application platform
Tier 3: regulated, differentiating, cross-system, high-consequence work.
A · Buy vertical AI tools
One job where a vendor truly owns the domain knowledge.
B · Extend the suite or copilot
Tier 2: taking steps out of existing processes.
C · Build from components
Teams building novel agents with engineering to spare.

Works alongside

  • Copilots and in-app agents

    A copilot for every knowledge worker, whichever you chose: Microsoft 365 Copilot, Claude Cowork, ChatGPT Enterprise or Gemini. In-app agents for steps inside existing processes. Keep them; Pyrana is the top tier.

    Pyrana and Copilot Studio

  • Data platforms

    Fabric, Databricks and Snowflake are the data layer. Pyrana reads them live, as the user.

    Pyrana and Microsoft Fabric

  • Agent control planes

    Agent 365, AI Control Tower and Agent Fabric keep the inventory. Registering agents governs the roster. Checking each operation governs the actions.

    Control planes and platforms

  • Models and labs

    Any major model, on your own keys, chosen per agent. The labs need a way into the enterprise; Pyrana is that way.

    Pyrana Harness

  • Temporal and MCP

    Durable execution runs on Temporal underneath the Harness. Every application is an MCP server and uses MCP tools.

    Pyrana and Temporal
Go deeperHow Pyrana compares, product by product5 min

Speed to value

The engineering is done. Value arrives sooner.

The foundation is already built and shared by every application, so the time from decision to a governed application in production is measured in weeks.

About a week
to stand up the App configuration, 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

What a team builds is the description of the process, the approval policy, the knowledge to load, and the pages people work in. Everything underneath already exists.

Go deeperWhat is already in the platform3 min

What Pyrana is not

Not a chatbot

A chat window is one way into an application. The application is the pages, the actions, the rules and the record; the copilot reaches the same actions through the same checks as every other way in.

Not a flow builder

A flow builder produces a flow. Pyrana is a runtime and a system of record: identity, permissions and a record on every action; durable storage and versioned results; approval policies with named approvers; your own code running under the same rules.

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.

Questions

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 already built and an application is configuration on top of it: one App configuration 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.
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 on a dedicated private tenant or in the client's own infrastructure.
How long does an application take to build?
With clean data available, the App configuration 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.

Bring the process that hurts. Leave with a written plan.

Talk to us

Book a demo

A 45-minute working session on your process. You leave with a written plan.

Read first

How it works

How one action moves through an application, from the request to the record.