Lingk Platform Pricing

Guided Digital Labor is Lingk’s hybrid integration delivery model—combining our AI-powered Integrator Agents with expert oversight from our Managed Integration Services (MIS) team. This approach accelerates each phase of your integration lifecycle—from Discovery to Go-Live—while maintaining quality and enterprise-grade precision.

Lingk provides full-lifecycle integration delivery: Discovery, design, development, QA, UAT, go-live, and managed support. Our experts work with systems like Ellucian, Anthology, Salesforce, Workday, PeopleSoft and more—using our iPaaS, AI Agents, and best practices to reduce risk and speed up delivery.

An integrated Target Object is any specific data entity or domain (like Account, Opportunity, Contact, Student, Course, or Application) that is integrated. It's defined during Discovery based on user stories, then designed, built into a recipe, and tested. User stories also drive the UAT phase. All work is delivered using Agile methodology with clear acceptance criteria.

DPH is a unit of processing time used by integrations running on the Lingk iPaaS. Based on how often your recipes run per day/week, Lingk calculates an annual DPH budget. If you approach your limit, you'll be notified and can scale or adjust accordingly.

Discovery aligns everyone on goals, systems, and constraints. We interview stakeholders, collect artifacts, review APIs, and document Integration User Stories. These become the basis for backlog planning, design specification and delivery scope, and UAT expectations.

We create implementation-ready blueprints for each Target Object from design specifications. This includes system data model mappings, orchestration flows, and data quality logic.

Lingk AI Agents auto build the blueprints into integration recipes using connectors, transformation logic, scheduling, and testing. Updates are provided iteratively until the recipe is QA-ready.

We validate the integration recipe in a test environment using functional, regression, negative, and performance test cases. Data quality is reviewed and defects resolved before UAT.

Business users validate the integration recipe based on real-world scenarios and user stories from Discovery. Adjustments are made, and once approved, the recipe moves to production.

We deploy to production, monitor initial runs (hypercare), and provide runbooks, alerting, and support. You can retain Lingk for managed services or take over internally.

Lingk includes AI-generated data dictionaries, catalogs, data flow diagrams, lineage, and one user license for our data management UI. These metadata management features help you understand, govern, and troubleshoot your data flows.

No. Our platform automatically documents your integration recipes, mapping logic, and flows. This eliminates manual documentation and keeps your data catalog up to date.

Each recipe includes schema validation, optional cleansing rules, and automated QA checks. Data errors are tracked and reconciled before promotion. Alerts notify you of any post-launch issues.

Yes. You’ll see source-to-target lineage and transformation steps within our visual editor. All recipes are version-controlled and audit-logged for compliance and debugging.

Yes. Metadata such as dictionaries or logs can be delivered to tools like Google Docs, SharePoint, or even Snowflake depending on your setup.