PRODUCT · PROCESSARC 1.0

AI that works
with your operations.

See how process records, workflow context and human-reviewed intelligence can help your team spot a practical next step.

ONE WORKSPACE FOR THE WHOLE PROCESS 01 / 05
⌕

Visibility

Put process purpose, ownership, dependencies and workflow stages in one searchable place.

Explore the registry ↗
⌁

Analysis

Track cycle time and exceptions, then identify stages that may deserve a closer look.

Explore analysis ↗
✳

Improvement

Give improvement ideas a priority, an owner, a status and a reviewable history.

Explore improvement ↗
TRY IT · PROCESS INSIGHT ANALYZER 02 / 05
INTERACTIVE SAMPLE TOOL

Find the slow stage.
Choose what to do next.

Upload a small, non-sensitive process-event CSV or try sample data. ProcessArc calculates average stage time and highlights the slowest stage for a human to review.

Prototype · NVIDIA option proposed
OR UPLOAD AN EVENT CSV
Required CSV columns: stage, start, end. Dates should include a time and timezone if known.
Demo only. Do not upload sensitive data. Your CSV is processed in memory and not stored. AI suggestions require human review. Privacy.
⌁

Your process insight will appear here.

Use the sample data or upload a compatible CSV to compare stage durations.

A CAPABILITY WALKTHROUGH 03 / 05

Designed around
how work actually moves.

Connect process ownership, workflow context and improvement work in a single practical workspace. Start with structured records; extend with AI only when it helps.

KNOW WHAT RUNS

One registry. Clear owners.

Keep process categories, accountable owners, status, cycle-time targets and prerequisite relationships connected to each process record.

  • Searchable process inventory
  • Owner and dependency fields
  • Workflow stages with accountable roles
Open the demo workspace ↗
AI WITH CLEAR BOUNDARIES 04 / 05
HUMAN IN THE LOOP

Useful assistance.
Never autopilot.

AI features are optional. Operational authority stays with your team.

✓ AI can help

  • Summarize a provided process record
  • Suggest investigation paths to consider
  • Highlight patterns in the data supplied

— AI does not

  • Change or approve processes autonomously
  • Act without a person reviewing a suggestion
  • Replace your governance or decision process
DEPLOYMENT OPTIONS · ILLUSTRATIVE 05 / 05

Fit the environment
you operate.

Deployment models depend on security, infrastructure and data-residency requirements. The options below describe possible approaches, not current product guarantees.

01

Cloud

Hosted application and managed SQL, subject to operational security and residency requirements.

ILLUSTRATIVE OPTION
02

Self-hosted

Run application and database infrastructure in an environment operated by your organization.

ILLUSTRATIVE OPTION
03

Hybrid

Keep operational records in your environment while connecting to approved model services.

ILLUSTRATIVE OPTION
FROM PROCESS RECORD TO REVIEWABLE SIGNAL 06 / 05
01CaptureProcess and workflow records
→
02ContextualizeOwnership, status and history
→
03AnalyzeMetrics or optional model
→
04ReviewHuman approval and tracked action
TECHNOLOGY FOUNDATION 07 / 05
PROPOSED ARCHITECTURAL OPTIONS

Open choices.
Clear expectations.

ProcessArc's current application uses Laravel and SQL. NVIDIA technologies below are proposed architectural options; only the Process Insight Analyzer may show a “Built with NVIDIA NIM” badge when a configured NIM API successfully serves that analyzer request.

PROPOSED NVIDIA OPTION
N

NVIDIA NeMo

Proposed AI workflow analysis and model customization capabilities for approved enterprise use cases.

ARCHITECTURAL OPTION · NOT INTEGRATED
Learn more

Could fit: model customization and evaluation in an approved AI workflow. Would need: validated models, data governance, infrastructure and licensing review.

PROPOSED NVIDIA OPTION
N

NVIDIA NIM

Proposed hosted inference API path for the analyzer; optional and inactive until endpoint, model and server-side API key are configured.

ARCHITECTURAL OPTION · CONFIGURATION REQUIRED
Learn more

Could fit: generate concise wording from aggregated stage statistics. Would need: NVIDIA API access, endpoint/model validation, security review and usage controls.

PROPOSED NVIDIA OPTION
N

NVIDIA RAPIDS

Proposed GPU-accelerated data processing for sufficiently large event datasets.

ARCHITECTURAL OPTION · NOT INTEGRATED
Learn more

Could fit: high-volume data aggregation. Would need: GPU-backed infrastructure, workload benchmarks, supported libraries and operational monitoring.

PROPOSED NVIDIA OPTION
N

NVIDIA Triton

Proposed scalable model-serving layer for selected inference workloads.

ARCHITECTURAL OPTION · NOT INTEGRATED
Learn more

Could fit: a managed model-serving tier behind controlled APIs. Would need: model-format validation, GPU or CPU serving capacity and security controls.

OPEN MODEL · OPTIONAL
Q

Qwen 2.5 + Ollama

Configurable local model option used by the application when a local Ollama model is set up.

IMPLEMENTATION PATH · CONFIGURABLE
Learn more

Could fit: local inference for process-specific draft recommendations. Would need: a locally installed model, sufficient resources, and model-license review.

These are proposed architectural options and do not imply completed integration, certification, endorsement or partnership.

i

Technology relationship notice

NVIDIA NeMo, NVIDIA NIM, NVIDIA RAPIDS and NVIDIA Triton are presented as proposed architectural options. Except for analyzer requests that are actually served by a configured NVIDIA NIM endpoint, this product does not claim a completed integration. Nothing here implies NVIDIA certification, endorsement or partnership. NVIDIA and its product names are trademarks of NVIDIA Corporation. Actual deployment depends on technical validation, licensing and implementation.

PRODUCT & AI FAQ 08 / 05

Clear answers.
Practical choices.

Do I need AI to use ProcessArc?

No. The process registry, ownership, workflow, cycle-time and optimization features are useful without any model connection.

Where is my data stored?

The demo stores sample records in its configured SQL database. For a deployment, storage location and retention depend on the environment selected by the organization operating the service. The public CSV analyzer does not retain uploaded files.

Can I use my own model?

The application supports a configurable Ollama endpoint for local Qwen models. The analyzer can optionally be configured to use an OpenAI-compatible NVIDIA NIM endpoint, with local or rules-based fallbacks.

Is NVIDIA currently integrated?

The NVIDIA technologies on this page are proposed options. Only successful calls to a configured NVIDIA NIM endpoint for the Process Insight Analyzer will be labelled as built with NIM for that tool.

DESIGNED FOR HUMAN OVERSIGHT

Build a foundation
for better decisions.

Explore the workspace or talk with the ProcessArc team about your operational context.