Benefit / One execution fabric

Stop stitching your
AI stack together.

Governing an agent takes orchestration, agent identity, policy, business data, human approvals, durable state and audit evidence. Teams assemble these from separate products, then build, secure and maintain the code that joins them. Frozion runs them as one execution fabric.

Start with the agents you already run. Keep your systems of record. Remove the glue.

One process, connected responsibilities
FROZIONExecution FabricGoverned from request to outcome
  1. Authority & context

    Who is acting, for what purpose, with which facts?

  2. Policy & human decisions

    What must be satisfied before the action proceeds?

  3. Durable work & evidence

    What waits, what resumes, and what was recorded?

One runtime · one identity chain · one record

The Frozion Execution Fabric is the shared runtime where orchestration, identity, policy, data, human decisions, durable state and evidence run together, from request to recorded outcome.

A governed AI system becomes
a stack held together by glue code.

To let an agent act safely, teams assemble an agent framework, workflow engine, agent identity, policy, access control, data, approval tools, APIs and observability. Each product has its own model of the work. Your team makes the joins carry who is acting, under what authority, which rule applied, who approved and what happened.

The stitched stack

Ten components. A growing set of joins.

Explore a connector to see what it must carry.

Agent framework
Workflow engine
Agent identity & delegation
Policy engine
Access control
Data & feature layer
Approval inbox
API integrations
Observability & audit
App / UI layer
  1. Agent framework
  2. Workflow engine
  3. Agent identity & delegation
  4. Policy engine
  5. Access control
  6. Data & feature layer
  7. Approval inbox
  8. API integrations
  9. Observability & audit
  10. App / UI layer
Between every product

The handoff is your team’s responsibility.

Identity, scope, policy decisions, approvals and evidence must survive each join.

Each join adds integration code your team builds, secures and maintains.

01

Build and run cost

Build each integration once, then maintain it through upgrades on both sides.

02

Security gaps at the seams

Lost identity leaves a downstream step acting on a broader service credential. A policy result does not reach enforcement. An approval loses its binding to the exact action.

03

Evidence in pieces

Model output, policy logs, approvals and API receipts live in separate tools. Reconstructing one case pulls several teams into the investigation.

Every new agent adds seams.
Every upgrade puts them back under review.

Seams multiply with each agent, tool and workflow, while every product ships on its own schedule. Integration maintenance takes time away from improving the AI application.

More agentsmore seams

More productsmore upgrades to absorb

More seamsmore places for control to break

The glue tax, at every stage

  1. DesignWork around what each product can pass along.
  2. BuildWrite connectors before writing the workflow.
  3. TestRetest the affected joins after product upgrades.
  4. SecureReview identity and policy at every join.
  5. OperateChase failures across products and teams.
  6. AuditAssemble one case from several tools by hand.

The components a governed agent needs.
Built into one runtime.

Frozion builds in the components teams otherwise stitch together. They share one identity chain, one policy model and one execution record. Your team builds the business process without building the integrations between those responsibilities.

Orchestration & durable execution

Workflows that wait for people and events, then resume where they left off.

Explore durable execution

Agent identity & delegation

Continuous Authority carries the requester’s identity and scope through the work. Delegation can narrow authority, never expand it.

Explore Continuous Authority

HITL Inbox

Reviewers see the exact proposal, policy result and supporting evidence, then return a bound decision to the waiting work.

Explore human decisions

Data plane & Feature Store

Governed queries and calculated facts, shared by agents, policies and reviewers.

Explore the Feature Store

Observability & evidence

One tamper-evident execution record per case, linked to the definitions and versions that governed it.

Explore execution evidence

App Builder

Forms, queues, portals and workbenches on the same execution foundation.

Explore App Builder

The same responsibilities. One execution fabric.

Responsibility
Stitched stack
Frozion execution fabric
Products to buy, run and secure
Stitched stackSeparate products for the execution responsibilities
Frozion execution fabricOne platform for the execution responsibilities
Integration code
Stitched stackYour team owns the joins between products
Frozion execution fabricNo custom glue between fabric components; integrate at the agent and system boundaries
Requester identity
Stitched stackTranslated or re-established at service boundaries
Frozion execution fabricCarried end to end; delegated scope never expands
Policy
Stitched stackA decision must be delivered to a separate enforcement point
Frozion execution fabricDecided and enforced at the protected step
Approval
Stitched stackCustom work binds the external approval to the action
Frozion execution fabricBound to the exact proposal; authority rechecked before execution
Business facts
Stitched stackComponents fetch or calculate their own values
Frozion execution fabricCalculate once and reuse the same versioned snapshot, with freshness checks
A step fails or times out
Stitched stackCorrelate logs across products
Frozion execution fabricOne case record shows the wait, failure or unresolved outcome
Audit evidence
Stitched stackAssembled across tools after the fact
Frozion execution fabricRecorded with decisions in a tamper-evident execution graph
Adding an agent
Stitched stackConnect its work to the separate execution products
Frozion execution fabricConnect its tools to the fabric and reuse the controls

One fact, one meaning.
From agent to approver.

An invoice is 4% over its purchase order. The agent, policy and finance reviewer all work from the same calculated facts.

Invoice review · INV-1042 · revision 2

Snapshot FS-1042-A · definition v3 · 4% variance

Shared input

The proposal starts with defined facts.

The agent recommends from a versioned snapshot. Its recommendation grants no approval.

The decision inputs

Snapshot
FS-1042-A · definition v3
Variance
4% against the matched purchase order
Duplicate check
0 matches · successful check

Today, with separate tools: The agent calls a service and computes the variance with its own query.

Reuse without recomputation

The rule uses the same measures.

The policy reads the same snapshot, so nothing is recalculated.

The policy input

Variance
4% · snapshot FS-1042-A
Calculation
Reused; no new calculation
Outcome
Finance review required

Today, with separate tools: The policy engine receives a value without its definition, or recalculates it another way.

Shared evidence

The reviewer sees what informed the rule.

The decision returns to the waiting case, bound to the revision reviewed.

The review package

Decision inputs
Same snapshot FS-1042-A
Evidence
Invoice, purchase order and source references
Decision binding
INV-1042 · revision 2

Today, with separate tools: The approval screen re-queries the ERP. Three components can end up with three versions of the variance.

Freshness check

Reuse stops when the input no longer qualifies.

A stale fact holds the decision until it is refreshed. Old and new snapshots are never mixed.

The freshness gate

Freshness
Blocks current use of FS-1042-A
Next step
Refresh required
Approval
Held pending current inputs

Today, with separate tools: A separate approval tool needs an explicit freshness check to prevent yesterday’s number from authorizing today’s action.

In a stitched stack, the agent, the rule and the reviewer can each see a different number. In Frozion, they share one qualified snapshot.

Start with the agents you already run.
Grow into the fabric.

Keep your agent framework. Connect one tool call to a Frozion workflow, set its identity and policies, and govern that work from the first call.

  1. 01Start here

    Govern existing agents

    Connect an existing agent’s tool calls to Frozion. Apply identity, policy, approvals and evidence while keeping its framework.

  2. 02

    Grow tools into workflows

    A governed tool can become a workflow with steps, rules and human review, behind the same tool contract.

  3. 03

    Build native agents

    Build new agents in Frozion on the same identity, policy and data.

  4. 04

    Build applications

    Add forms, queues, portals and workbenches with App Builder.

Take the steps in any order, or stop at the first. Each reuses the same identity, policy, data and evidence. You do not rebuild the execution foundation at every stage.

Explore governing existing agents

Fewer products to run.
Fewer places for control to break.

Technology, security and architecture teams share the same foundation—and see the value through their own responsibilities.

CIO

“How many products, and how much glue code, does it take to put one agent into production?”

What changes

  • One platform for the execution responsibilities
  • No custom integration code between fabric components to build or maintain
  • Start with existing agents and keep their framework

Lower total cost of ownership. Fewer vendors. Faster time to production.

CISO

“Where can control break between our AI components?”

What changes

  • Requester identity and delegated scope stay connected; delegation never expands authority
  • Policy is decided and enforced at the protected step, with FIDO2 step-up when the approval requires it
  • Approvals bind to exact proposals; each case has a tamper-evident execution record

Fewer seams. Fewer places for control to break.

These controls address tool misuse and identity/privilege abuse—risk categories in the OWASP Top 10 for Agentic Applications.

Solution architect

“How do we add agents without adding integration work?”

What changes

  • One execution model for tools, workflows, agents and applications
  • Systems of record stay in place, reached through typed, governed API clients
  • Facts defined once and reused, with version and freshness checked

New agents reuse the execution foundation. Shared definitions have one place to change.

Count your seams.

Take one agent workflow you run today.

Tick any question whose answer exposes a gap or manual integration work.

What’s inside the fabric,
and what stays outside.

One execution foundation connects the work. Your business systems remain authoritative.

Inside the fabric

The execution foundation

Orchestration and durable execution, agent identity and delegation, visual policy and dynamic RBAC, FIDO2 authentication, the HITL Inbox, data plane and Feature Store, tools and API clients, observability and evidence, and App Builder.

Outside, connected through governed paths

Your existing environment

Existing agents, systems of record, databases, APIs and model providers. Enterprise identity federation and downstream systems retain their own responsibilities where used.

Frozion governs the work routed through it. Activity outside those paths is not automatically governed. Each viewer sees only what their role permits.

The shared runtime where orchestration, identity, policy, data, human decisions, durable state and evidence run together, from request to recorded outcome.

No. Keep their framework and connect their tool calls to Frozion workflows. Set the tool contract, identity and policies; the same execution controls apply from the first call.

No. Systems of record stay authoritative. Frozion reaches them through typed, governed API clients and queries.

Fewer products to license, integrate and secure. No custom glue between fabric components to build and maintain. Facts calculated once and reused instead of recomputed by each participant. Faster investigations because evidence is already connected. The saving depends on the stack you run today; bring one workflow and we’ll map it.

No. Deterministic logic, queries and calculations handle predictable work. Models are used where interpretation helps, and their output never grants approval on its own.

No. Reuse checks the fact’s definition, scope and freshness. A stale or missing fact holds the decision until it is refreshed.
Start with one workflow

Bring one workflow.
We’ll count the seams.

Pick an agent workflow that touches several tools. We’ll map it on the fabric and show which seams disappear.