Flowchestra operationalizes AI.
Turn AI chaos into governed, measurable business outcomes.
Flowchestra is onboarding select organizations and AI operators as we expand the platform.
Deliver AI operations to your clients? Explore the operator path →
Client Service Ops
Governed workspace
Quarterly reporting pack
Draft the Q3 client commentary from holdings_snapshot using the approved template, then route for review before anything leaves the workspace.
Activity
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Illustrative view of the Flowchestra workspace.
One platform, three jobs.
Everything on this page comes back to these three. Flowchestra learns how your business works, runs AI inside that structure, and shows you what it returns.
Understand the business.
Flowchestra maps your workflows, teams, approvals and policies, so AI starts from how work actually happens.
Run AI with control built in.
Your people work with AI in one governed workspace: access rules, guardrails and audit trails are part of the flow, not an afterthought.
See everything, measure what matters.
Usage, cost, risk and outcomes are visible in one place, so you always know what's running and what it's returning.
What AI chaos looks like inside your business.
Your teams already use AI. Some of it you approved. Some of it you've never seen. One person runs everything through a favorite model, another pastes client data into a chatbot you never approved, and nobody can tell you what's actually running, what it costs, or what it returns.
That's not an adoption problem. It's an operations problem.
Tools arrived before the structure that makes them safe, repeatable and worth the spend.
From AI experiments to AI operations.
AI is no longer a tooling problem. Models, copilots and agents are everywhere. What's missing is the infrastructure that connects them to real workflows, trusted data, approvals and outcomes you can measure.
Most organizations solve AI in reverse: governance after deployment, security after exposure, measurement after the money's spent.
Flowchestra is a Secure AI Operations platform built to start the other way around: governed from day one, not bolted on. It maps how your business actually works, then runs AI inside that structure.
AI works best when business works first.
Flowchestra starts from how your business already works, then runs AI inside that structure.
Two ways to run governed AI operations.
Deliver AI operations as a service
For MSPs, AI consultants, operators and systems integrators. Your clients are asking for AI help. Flowchestra gives you the platform to deliver it: repeatable, governed and measurable across every client you serve.
Operate AI directly
For regulated and operationally complex organizations. Adopt AI inside your business with governance, visibility and accountability built in, reducing operational risk across data, workflows and approvals. Built for the way financial services and other regulated teams actually work.
The three questions we hear most.
Copilot works well inside the Microsoft ecosystem, and for many teams it is a natural on-ramp to AI. Flowchestra also works well within the Microsoft ecosystem, integrating with Entra and Microsoft 365 services such as SharePoint, OneDrive, and Teams, while extending governed AI operations across additional models, systems, and workflows. As AI moves beyond individual productivity into real business operations, Flowchestra provides the governance, orchestration, visibility, and measurement needed to manage that work consistently.
For exploration and non-sensitive workflows, teams may still use approved AI tools directly. Flowchestra can also work alongside and integrate with approved tools where supported. Complex workflows and sensitive work are different. When AI touches client data, approvals and real processes, you need to know who's using what, with which data, under which rules. That work runs in Flowchestra: governed while it happens, not just audited after.
Some companies try. It means standing up governance, integrations, observability and measurement across every workflow, then maintaining all of it while the AI landscape shifts monthly. Flowchestra exists so your team gets the operating layer without spending years of engineering time building one.
Built for businesses that answer to regulators.
Flowchestra is currently undergoing its SOC 2 Type I examination. By default, customer data is not used to train AI models. Sensitive data is flagged before it goes anywhere, and every significant action is logged.
The people you'll actually talk to.
Flowchestra was founded by two people who spent their careers running and securing operations for businesses that couldn't afford mistakes.
Raum Sandoval
CEO and Co-Founder
Henry Steele
CTO and Co-Founder
Kaya Kowalczyk
Head of Business Operations
More on the company and the founders? Read the company story →
See what governed AI operations look like in your business.
Flowchestra is onboarding select organizations and AI operators as we expand the platform.
Deliver AI operations to clients instead? Explore the operator path →