Logic Governance • Deterministic Execution • Trust

Govern spreadsheet and AI-driven business logic.

BlazeXL turns spreadsheet models, Python workflows, and AI-generated logic into governed, reusable assets that execute safely across Excel, apps, APIs, and agents.


Versioned. Permissioned. Approved. Audited. As AI accelerates the creation of business logic, BlazeXL provides the trust boundary required for production execution.

Turn fragmented logic into governed, reusable assets
Keep existing tools. Move critical logic to governed execution.
Run approved logic consistently across every surface
System View
Fragmented Logic → Governed Assets
Adoption surfaces
ExcelAppsAPIsAI Agents
Blaze Blocks
Versioned, permissioned, auditable units of logic.
Blaze Sheets
Portable governed Excel workbooks powered by Blocks.
Governance Gateway
Control layer for identity, approval, audit, attribution, and policy.
Deterministic Runtime
Deterministic execution boundary for approved logic.
Universal Surfaces
Excel, APIs, agents, and apps consume the same governed logic.
The market shift

AI is increasing the amount of business logic faster than enterprises can govern it.

This is not just a spreadsheet problem or a model-serving problem. It is a trust and governance problem in the logic that drives enterprise decisions.

Critical logic is fragmented

Important decisions still depend on spreadsheet models, scripts, notebooks, and local workflows that are difficult to review or govern as a system.

AI increases logic volume, not trust

AI makes it easier to draft logic. It does not make production reuse deterministic, permissioned, approved, or auditable.

Existing platforms stop short

Data platforms govern data. Developer tools govern code. Enterprises still lack governed reusable logic for the decisions that run the business.

The missing layer

BlazeXL turns business logic into governed reusable enterprise IP.

Data platforms govern where data lives. Developer platforms govern how code is built. BlazeXL governs how spreadsheet logic, Python workflows, and AI-drafted business logic become Blaze Blocks, execute deterministically, and are controlled by Gateway identity, approval, audit, attribution, and policy.

Core primitive

Blaze Blocks are the standard unit of enterprise logic.

A Block is governed enterprise IP that can be reviewed, versioned, permissioned, executed, and reused everywhere.

Versioned

Blocks have durable identity, history, and promotion paths.

Permissioned

Access is controlled by role, environment, and policy.

Deterministic

The same Block with the same inputs yields the same result across surfaces.

Auditable

Every execution records actor, version, surface, and execution outcome.

How teams use it

Start where logic already exists. Keep your workflow. Add governed execution.

Pricing, Forecasting, and Finance Models

Start from spreadsheets, Python scripts, or AI-assisted drafts and turn critical decision logic into governed Blocks.

Approval, Policy, and Risk Workflows

Use one reviewed Block across Excel, internal apps, APIs, and agent workflows without rewriting or logic drift.

Agent-Executed Work You Can Prove

Make logic reviewable, permissioned, versioned, and traceable so AI-assisted decisions can be trusted in production.

Spreadsheet / Script / AI → Blaze Block
Runs Everywhere + Always Governed
See it work

See governed logic in action.

Interactive demos showing how BlazeXL governs agent tool execution, manages logic from creation to audit, serves a single Block across every surface, and produces evidence for audit, risk, and compliance.

Governance Layer • Interactive Demo

Governed Logic Workflow.

With BlazeXL - every logic fragment is versioned. Every execution is logged. Every hash is verifiable. Watch the full lifecycle.

Step 1Draft Block

Create

An analyst writes a pricing function. BlazeXL captures it as a governed Blaze Block — not hidden in a spreadsheet formula.

Draft v1
Mar 5, 05:01 PM
sha256:9f3a7b2c4e6...
1def price(quantity, unit_price=10):
2 """Calculate total price for an order."""
3 return quantity * unit_price
Initial release — simple quantity × unit_price calculation

Logic is captured as code, not hidden in a formula bar.

pricing_model

Standard pricing logic for order calculations

Private
Provenance
Owner
Sarah Chen
Created
Mar 5, 2026
Status
DRAFT (v1)
Integrity
sha256:9f3a7b2c4e6d8a1...
Exports
price()
Audit Trail
1 events
block.create17:00:00
success
Sarah Chenpricing_model
code_size:98function_count:1status:draftprocessing_purpose:analytics
Platform Compounding • Interactive Demo

Write once. Run everywhere.

A Block (Python logic fragment) written once is automatically available in Excel, AI Agents and more — without being rewritten. Audit trail built-in.

Surface Network
Blockpricing:v3
Central Block
Name@org/pricing-model:v3
Ownersales-team
Hashsha256:9f86d081884c7
Total Executions14,280

Click a surface node or press “Connect Surfaces” to see how the block is consumed

0Surfaces
1Block
1Audit Trail

“Every new surface multiplies the value of every existing Block. That's the compounding asset.”

Audit Dashboard • Interactive Demo

Compliance in one query.

“Show me every execution of our pricing model in the last 30 days — who ran it, which version, and whether it was a human or AI agent.”

32 events
30 success
2 errors
org-acme-001 · Last 30 days
ActionActorBlockCode HashDurationSurfaceStatus
block.executeMar 16 05:00 AM
sarah.chen
@acme/pricing-modelv1
sha256:852fc9630da780ms
Excel
OK
block.executeMar 15 10:00 PM
james.wilson
@acme/risk-classifierv2
sha256:fc9630da741e117ms
Web
OK
block.executeMar 14 03:00 PM
maya.verma
@acme/spend-analyzerv1
sha256:630da741eb85154ms
API
OK
block.executeMar 13 08:00 AM
finance-ops-agent
@acme/approval-policyv2
sha256:da741eb852fc191ms
Agent
OK
block.publishMar 13 01:00 AM
risk-monitor-agent
@acme/fx-converterv1
sha256:41eb852fc963228ms
Agent
OK
agent.task.completedMar 11 06:00 PM
nightly-batch-agent
@acme/portfolio-rebalancerv1
sha256:b852fc9630da265ms
Agent
OK
block.executeMar 10 11:00 AM
sarah.chen
@acme/pricing-modelv1
sha256:2fc9630da741302ms
API
OK
agent.task.completedMar 10 04:00 AM
james.wilson
@acme/risk-classifierv2
sha256:9630da741eb8
AI An
Error
block.executeMar 8 09:00 PM
maya.verma
@acme/spend-analyzerv1
sha256:0da741eb852f376ms
Excel
OK
block.executeMar 7 02:00 PM
finance-ops-agent
@acme/approval-policyv2
sha256:741eb852fc96413ms
Agent
OK
agent.task.completedMar 6 07:00 AM
risk-monitor-agent
@acme/fx-converterv3
sha256:eb852fc9630d450ms
Agent
OK
block.executeMar 6 12:00 AM
nightly-batch-agent
@acme/portfolio-rebalancerv1
sha256:52fc9630da7487ms
Agent
OK
block.publishMar 4 05:00 PM
sarah.chen
@acme/pricing-modelv1
sha256:c9630da741eb124ms
Excel
OK
app.executeMar 3 10:00 AM
james.wilson
@acme/risk-classifierv2
sha256:30da741eb852161ms
Web
OK
block.executeMar 3 03:00 AM
maya.verma
@acme/spend-analyzerv1
sha256:a741eb852fc9198ms
API
OK
agent.task.completedMar 1 08:00 PM
finance-ops-agent
@acme/approval-policyv2
sha256:1eb852fc9630235ms
Agent
OK
block.executeFeb 29 01:00 PM
risk-monitor-agent
@acme/fx-converterv1
sha256:852fc9630da7272ms
Agent
OK
block.executeFeb 28 06:00 AM
nightly-batch-agent
@acme/portfolio-rebalancerv1
sha256:fc9630da741e309ms
Agent
OK
block.executeFeb 27 11:00 PM
sarah.chen
@acme/pricing-modelv1
sha256:630da741eb85346ms
API
OK
block.executeFeb 26 04:00 PM
james.wilson
@acme/risk-classifierv2
sha256:da741eb852fc383ms
AI An
OK
app.executeFeb 26 02:00 AM
finance-ops-agent
@acme/approval-policyv2
sha256:b852fc9630da457ms
Agent
OK
block.publishFeb 25 09:00 AM
maya.verma
@acme/spend-analyzerv1
sha256:41eb852fc963420ms
Excel
OK
block.executeFeb 24 07:00 PM
risk-monitor-agent
@acme/fx-converterv3
sha256:2fc9630da741
Agent
Error
agent.task.completedFeb 23 12:00 PM
nightly-batch-agent
@acme/portfolio-rebalancerv1
sha256:9630da741eb8131ms
Agent
OK
block.executeFeb 23 05:00 AM
sarah.chen
@acme/pricing-modelv1
sha256:0da741eb852f168ms
Excel
OK
block.executeFeb 21 10:00 PM
james.wilson
@acme/risk-classifierv2
sha256:741eb852fc96205ms
Web
OK
block.executeFeb 20 03:00 PM
maya.verma
@acme/spend-analyzerv1
sha256:eb852fc9630d242ms
API
OK
block.executeFeb 19 08:00 AM
finance-ops-agent
@acme/approval-policyv2
sha256:52fc9630da74279ms
Agent
OK
block.publishFeb 19 01:00 AM
risk-monitor-agent
@acme/fx-converterv1
sha256:c9630da741eb316ms
Agent
OK
app.executeFeb 17 06:00 PM
nightly-batch-agent
@acme/portfolio-rebalancerv1
sha256:30da741eb852353ms
Agent
OK
block.executeFeb 16 11:00 AM
sarah.chen
@acme/pricing-modelv1
sha256:a741eb852fc9390ms
API
OK
agent.task.completedFeb 16 04:00 AM
james.wilson
@acme/risk-classifierv2
sha256:1eb852fc9630427ms
AI An
OK

“Every version locked, execution logged and actor identified. Compliance evidence for SOC 2, EU AI Act, and GDPR Art. 22 — built in.”

Agent Trust Layer • Interactive Demo

What did the agent actually do?

AI agents call governed Blocks — every computation is versioned, audited, and reproducible. The trust layer you need for production AI.

LangChain · Autonomous Agentfinance-ops-agent

Analyze Q4 procurement spend across all departments. Flag any category exceeding quarterly thresholds and determine approval requirements.

Q4 2024 Procurement Ledger (14,200 transactions)
Cross-Surface Workflow

The same governed Block can be drafted from Excel, published once, then called from apps, APIs, and agents under org RBAC with a shared audit trail.

ExcelPublished BlockAPI / AgentAudit
Agent Workflow
Task Received
Classify Spend
Agent Reasons
Check Approval Policy
Agent Reasons
Report Generated
Audit Trail

Start the workflow to see audit events accumulate

“We're not governing the AI's reasoning — we're governing its execution. Every tool call is versioned, audited, and reproducible.”

Why BlazeXL

BlazeXL is the missing layer that turns fragmented business logic into governed, reusable execution assets.

Not Excel

Excel is where business logic is created. It should remain the interface, while critical logic moves into governed execution.

Not Databricks or Snowflake

Data platforms govern data and compute, not the reusable logic that turns data into decisions. BlazeXL turns that logic into governed enterprise IP.

Not replaced by better AI

Better AI increases the amount of generated logic. AI makes logic easier to create. BlazeXL makes logic safe to reuse.