FlexiMetaDoc pricing

Start free. Scale when your workflow demands more control.

Start with structured intake or an AI risk review, then scale into document intelligence, workflow automation, and enterprise implementation as your requirements grow.

Pricing for advanced implementations depends on document volume, workflow complexity, validation requirements, integrations, and deployment needs.

Engagement-based

A practical starting point

Use the smallest useful entry point, prove the process, and add governed automation when the business case is clear.

Choose your starting point

Four ways to work with FlexiMetaDoc

There are no artificial Bronze, Silver, or Gold tiers. The right engagement follows the process you need to make reliable.

Free

Free Surveys

Start structured data capture without committing to a larger implementation.

  • Survey creation
  • Structured questionnaires
  • Response collection
  • Evidence and request intake
  • Reusable forms
  • Foundation for later automation
Start Free
Start with a free review

AI Compliance & LLM Risk

Understand current AI exposure before deciding which controls or implementation work is needed.

Free AI Compliance & LLM Risk ReviewPaid LLM Readiness & Risk AuditOngoing AI Compliance Partnership
  • AI usage and LLM exposure review
  • Sensitive-data and output controls
  • Human review and governance gaps
  • Validation and auditability assessment
  • Remediation roadmap
Start the Free Review
Custom

Enterprise & Custom Implementation

For complex environments that need deeper integration, migration, deployment, and operational support.

  • High-volume and multi-tenant requirements
  • Enterprise integrations and custom APIs
  • Custom activities and document types
  • Migration and identity integration
  • Deployment and operational support
Talk to FlexiMetaDoc

Transparent scoping

What determines your FlexiMetaDoc cost?

Advanced automation is scoped around the work that must be handled, checked, integrated, and supported.

Document volume

Processing volume, transaction levels, and expected peaks affect capacity and operational design.

Document complexity

Document types, layouts, tables, and extracted fields change the implementation effort.

Validation requirements

Rules, cross-checks, confidence thresholds, and human review determine control depth.

Workflow complexity

Branches, loops, approvals, exception handling, and orchestration affect configuration effort.

Integrations

Databases, APIs, document platforms, and external enterprise systems shape integration scope.

Deployment & support

Tenant model, deployment topology, implementation support, and operations affect the engagement.

A clear path from first conversation to scale

How engagement works

1

Start

Start with Free Surveys or an AI Compliance & LLM Risk Review.

2

Scope

Define the documents, data, validations, workflows, integrations, and expected volume.

3

Implement

Configure the FlexiMetaDoc capabilities required for the process.

4

Scale

Add workflows, documents, users, integrations, and automation as requirements grow.

Capability fit

Compare the starting paths

Included, available, review, and scoped indicate how each capability is approached.

FlexiMetaDoc capability comparison by engagement path
CapabilitySurveysAI RiskAutomationEnterprise
Structured intakeIncludedIncludedIncludedIncluded
Document extractionReviewIncludedIncluded
AI / LLM risk assessmentIncludedAvailableIncluded
Validation rulesReviewIncludedIncluded
Human reviewReviewIncludedIncluded
Workflow automationReviewIncludedIncluded
Audit traceabilityReviewIncludedIncluded
API integrationsReviewAvailableIncluded
Custom workflow developmentAvailableIncluded
Enterprise implementationScopedIncluded

Pricing FAQ

Questions before you start

Yes. Start with Free Surveys or request the Free AI Compliance & LLM Risk Review.

Document automation varies by volume, complexity, validation, workflow, integrations, deployment, and support requirements.

Document volume and types, extracted data, validation rules, workflow paths, integrations, deployment, and operational support.

Yes. Engagements can begin with one document process or workflow and expand as requirements are understood.

Integrations can be scoped around existing databases, APIs, document platforms, and enterprise systems.

It reviews AI usage, sensitive-data exposure, output controls, validation, human review, governance gaps, and auditability.

Not necessarily. The implementation can be scoped around systems and document sources already in use.

Yes. Additional workflows, documents, users, integrations, and automation can be added as the process grows.

You do not need to redesign your entire operation to start.

Start with one document process, one workflow, or one AI risk problem and expand from there.