> ## Documentation Index
> Fetch the complete documentation index at: https://api.agentflow-enterprise.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Technical Due Diligence Guide for AgentFlow Buyers

> Verify AgentFlow before you commit: workflow, auth, payments, AI, test gaps, and what evidence to request during your private technical diligence review.

A serious technical review of AgentFlow Enterprise goes beyond reading documentation. It means verifying that what is described in public materials is backed by real implementation evidence — and being clear-eyed about what still requires provider confirmation, buyer-side configuration, or post-acquisition work before commercial operation. This guide tells you what to examine, what evidence to request, and how to distinguish what is already built from what is still in progress.

## Implementation Status Categories

Every aspect of AgentFlow falls into one of four categories. Use these definitions to interpret any claim made in public documentation or a private walkthrough.

| Category                | Meaning                                                                                                                                      |
| ----------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| **Implemented**         | Built and represented in the private product foundation. Suitable for private evidence review under appropriate confidentiality terms.       |
| **Verification needed** | Requires live provider evidence, end-to-end testing, or buyer-side confirmation before any commercial claim can be made.                     |
| **Planned**             | Represents the product direction and a reasonable next step in development. Not complete unless separately verified during a private review. |
| **Not claimed**         | An area where this public documentation makes no certification, customer, revenue, or audit claim whatsoever.                                |

<Note>
  When in doubt, treat a capability as **verification needed** until you have seen live evidence. This protects you and creates a productive basis for the private review conversation.
</Note>

## What to Verify in a Technical Review

Work through each area below during your evaluation. These are the signals that separate a production-conscious SaaS foundation from an unfinished build.

<CardGroup cols={2}>
  <Card title="Product Workflow Completeness" icon="arrow-right-arrow-left">
    Verify that the full path from lead intake through AI qualification, operator review, billing readiness, and CRM or workflow handoff is represented in the product — not just described in documentation.
  </Card>

  <Card title="Authentication and Dashboard Behavior" icon="lock">
    Confirm that protected operator-facing areas require authentication, that unauthenticated access is blocked, and that the dashboard experience is consistent with the product claims made publicly.
  </Card>

  <Card title="Tenant-Aware Assumptions" icon="users">
    Identify whether the architecture supports multi-tenant access boundaries, and understand what isolation model exists — or what a buyer would need to implement — before multi-client deployment.
  </Card>

  <Card title="Payment and Checkout Readiness" icon="credit-card">
    Verify the payment integration against a live provider account. Checkout readiness in documentation should be backed by test-mode evidence showing payment flows actually process correctly.
  </Card>

  <Card title="Webhook Safety Behavior" icon="webhook">
    Confirm that webhook handling enforces signature verification, processes events server-side, and treats incoming provider events as a trust boundary. Do not accept public documentation as sufficient evidence here.
  </Card>

  <Card title="AI Qualification Behavior" icon="brain">
    Review how the AI qualification step behaves with realistic lead inputs — including edge cases. Understand the cost profile per qualification call, the data handling approach, and what prompt governance controls are in place.
  </Card>

  <Card title="Deployment Posture and Rollback" icon="server">
    Understand the deployment environment, hosting configuration, and what a rollback or recovery looks like if a deployment fails. Verify this against actual deployment evidence, not just described posture.
  </Card>

  <Card title="Logging, Monitoring, and Alerting" icon="chart-bar">
    Check whether operational logging is in place, whether there is a monitoring layer that would surface errors in production, and whether alerting is configured for critical failure paths.
  </Card>

  <Card title="Test Coverage and Known Gaps" icon="flask">
    Request the test coverage picture — what is tested, what is not, and what known gaps exist. Every production-conscious codebase has known gaps; the question is whether they are documented honestly.
  </Card>

  <Card title="Error Handling and Support Model" icon="triangle-exclamation">
    Understand how the product handles errors in the workflow — failed AI calls, payment failures, webhook delivery failures — and what the operational support model looks like for a deployed client or customer.
  </Card>
</CardGroup>

## Evidence to Request During Private Diligence

Once you move into a private review, make these requests explicitly. A well-prepared seller should be able to respond to each one.

<Steps>
  <Step title="Product walkthrough with realistic lead scenarios">
    Ask to see the product run through actual lead scenarios — not a curated demo path. Include edge cases: incomplete lead data, disqualified requests, and operator review decisions.
  </Step>

  <Step title="Source review under NDA">
    Request a structured code review session once a confidentiality agreement is in place. Focus on the areas with the highest operational risk: authentication logic, webhook handling, AI integration, and payment flows.
  </Step>

  <Step title="Payment provider test evidence">
    Ask for test-mode evidence from the payment provider — screenshots, logs, or a live walkthrough — showing that checkout flows process correctly end to end.
  </Step>

  <Step title="Webhook validation evidence">
    Request evidence that provider webhooks are validated at the server boundary, not just received. Signature verification is the minimum bar.
  </Step>

  <Step title="AI provider behavior and prompt governance review">
    Review how AI qualification calls are structured, what data is sent to the provider, and what controls exist around prompt behavior. Understand the latency and cost implications at realistic lead volumes.
  </Step>

  <Step title="Known-risk register">
    Ask for a documented list of known risks, open issues, and areas that the seller considers incomplete or requiring buyer attention after acquisition or licensing.
  </Step>

  <Step title="Transition plan">
    Request a written transition plan that explains what handover looks like — repository access, provider account transfer, deployment knowledge transfer, and any ongoing support the seller is prepared to offer.
  </Step>
</Steps>

<Warning>
  Private technical review requires a confidentiality agreement before any sensitive material is shared. Do not request — and do not accept — source code, architecture diagrams, provider configuration details, or security logic through uncontrolled channels such as public GitHub issues or unprotected email threads.
</Warning>

## Initiating a Private Review

When you are ready to move from public evaluation into a formal technical review, reach out directly:

* **Email:** [contact@agentflow-enterprise.com](mailto:contact@agentflow-enterprise.com)
* **Book a call:** [cal.com/ciprian-stefan-plesca](https://cal.com/ciprian-stefan-plesca)

<Tip>
  Bring your specific verification checklist to the first private call. Buyers who arrive with focused questions get more useful sessions than those who ask for a general overview.
</Tip>