Most AI today can read, summarize, and suggest . The work still waits for a person to copy it into five systems. Denzing agents finish the job.

Inside autonomous agents

Agent workflows

Work that took days now takes minutes.

Agents run multi-step work across your systems, using the ontology, data, models, and rules. People make the one decision that needs them.

Today

 

Check Stock

MMS

 

Export

MMS

 

Reconcile

Sheets

Review

Wait · Handoff

 

Draft PO

Sheets

Approve

Wait · Handoff

 

Enter PO

ERP

Verify

 

2-4 Days

With Denzing

 

Agent Runtime

Check Stock → Reconcile → Draft PO → Enter PO

MMS

Approval

Human

 

Write-Back

ERP

Minutes

Elapsed

Same rules · One human decision

Action Controls

Actions are not taken blindly.

Agents use only registered actions. Preconditions, approval limits, write-back, and a permanent audit log: every change takes the same path.

trigger_reorder

SKU-4417

Preconditions

Approval Gate

≥ $10K → Buyer

Execute

Write-back

Audit Log

Immutable · Append-only

2026-08-27T14:01:58Z

check_stuck

SKU-4417

ok

2026-08-27T14:02:07Z

forecast_demand

SKU-4417

ok

2026-08-27T14:02:19Z

eval_preconditions

trigger_reorder

pass

2026-08-27T14:02:41Z

trigger_reorder

SKU-4417

approved → buyer

write_back → ERP

Run traceability

Understand every run

No agent is a black box. You can trace its reasoning, actions, approvals, outcomes, and evaluations in every workflow.

  1. 00:00

    signal · stockout risk detected on SKU-4417

  2. 00:14

    retrieved ontology context

  3. 01:02

    forecast recomputed

  4. 02:38

    action proposed · trigger_reorder

  5. 03:20

    approved by buyer

  6. 04:12

    written back to ERP · audited

Process by process

One process at a time. Then the next.

Each step a person takes in a process becomes an agent function. Start with one process, prove it in production, then add the next.

Replenish inventory

EACH SQUARE IS ONE DECISION STEP

0 AUTOMATED · 0 IN PROGRESS (EXAMPLE)

0%

Cross platform visibility

Connect your full stack

Integrate ERPs, CRMs, data warehouses, and operational tools into one unified layer.

Ingest unstructured data

Parse emails, PDFs, and spreadsheets into structured, usable inputs.

Build a living knowledge graph

Create a shared operational model that agents and teams can act on.

Bring your own model

Use your preferred models or let us optimize across providers in real time.

Analyze the business with context.

Denzing gives AI access to the business model behind the data, so every analysis understands the entities, relationships, logic, and operational rules that matter.

Questions become business intent.

Denzing identifies what the user is asking, which business objects are involved, and what information is needed to answer it.

Context makes the analysis reliable.

AI reads connected data, relationships, models, and business rules together instead of analyzing isolated tables or documents.

Analysis leads to the next decision.

Denzing returns the answer with the reasoning, supporting context, and available governed actions attached.

Frequently asked questions

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Bring transactions, store activity and product sales into the same operational context as the rest of your business.

Newsroom

Go to newsroom

Turn your business context into action

Connect your data, define how the business works, and give AI the context to analyze, decide, and act with confidence.

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