Integration Vendor Selection Framework (Onboarding)

Integration Vendor Selection Framework (Onboarding)

1. 01

   Map the client's current stack and identify the integration endpoints that matter most

   List the CRM, ERP, marketing, and data systems in play, then rank them by transaction volume and business criticality. This determines whether a low-code platform with 600 connectors or a code-first infrastructure is the right fit.

2. 02

   Score each candidate platform against a weighted matrix of connector coverage, white-labeling, and governance

   For example, an agency serving SaaS clients may prioritize white-label options like Albato or Paragon, while an enterprise client with strict compliance needs may require governance features found in Celigo or Boomi.

3. 03

   Verify the platform's real-time event triggers and AI orchestration capabilities against the client's workflow requirements

   If the client needs AI agents to act on data changes, confirm the platform supports event-driven triggers and can call AI models, as seen in Workato's real-time triggers or Klamp's MCP support.

4. 04

   Estimate total cost of ownership including per-connector fees, API call volumes, and implementation hours

   Compare not just list prices but the cost of building and maintaining the integration. A platform with 1,000+ connectors may still cost more if the client only needs five.

5. 05

   Assess the platform's scalability for multi-tenant deployments if the client is a SaaS provider

   Embedded iPaaS options like Cyclr or Pandium are built for multi-tenancy, allowing the client to offer integrations to their own customers without per-customer custom work.

6. 06

   Run a proof-of-concept with the top two candidates using a representative workflow

   Time the build, test error handling, and measure performance. This hands-on test reveals usability and reliability issues that vendor demos often miss.

7. 07

   Document the decision rationale and share it with the client for sign-off

   Include the scoring matrix, cost projections, and proof-of-concept results. This transparency builds trust and protects the agency if the chosen platform underperforms.